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2020 – today
- 2024
[j155]Binh Nguyen-Thai
, Vuong Le, Ngoc-Dung T. Tieu, Truyen Tran, Svetha Venkatesh, Naeem Ramzan:
Learning evolving relations for multivariate time series forecasting. Appl. Intell. 54(5): 3918-3932 (2024)- [c416]Phuoc Nguyen, Truyen Tran, Sunil Gupta, Thin Nguyen, Svetha Venkatesh:
Root Cause Explanation of Outliers under Noisy Mechanisms. AAAI 2024: 20508-20515 - [c415]Hung Le, Kien Do, Dung Nguyen, Svetha Venkatesh:
Beyond Surprise: Improving Exploration Through Surprise Novelty. AAMAS 2024: 1084-1092 - [c414]Kien Do, Dung Nguyen, Hung Le, Thao Le, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh:
Revisiting the Dataset Bias Problem from a Statistical Perspective. ECAI 2024: 3120-3127 - [c413]Dai Do, Quan Tran, Svetha Venkatesh, Hung Le:
Large Language Model Prompting with Episodic Memory. ECAI 2024: 3891-3898 - [c412]Banibrata Ghosh, Haripriya Harikumar, Khoa D. Doan, Svetha Venkatesh, Santu Rana:
Composite Concept Extraction Through Backdooring. ICPR (29) 2024: 276-290 - [c411]Dung Nguyen, Hung Le, Kien Do, Sunil Gupta, Svetha Venkatesh, Truyen Tran:
Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach. IJCAI 2024: 166-174 - [c410]Minh Hoang Nguyen, Hung Le, Svetha Venkatesh:
Variable-Agnostic Causal Exploration for Reinforcement Learning. ECML/PKDD (2) 2024: 216-232 - [c409]A. V. Arun Kumar, Alistair Shilton, Sunil Gupta, Santu Rana, Stewart Greenhill, Svetha Venkatesh:
Enhanced Bayesian Optimization via Preferential Modeling of Abstract Properties. ECML/PKDD (6) 2024: 234-250 - [c408]Tuan Hoang, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Learn to Unlearn for Deep Neural Networks: Minimizing Unlearning Interference with Gradient Projection. WACV 2024: 4807-4816 - [i154]Kien Do, Dung Nguyen, Hung Le, Thao Le, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh:
Revisiting the Dataset Bias Problem from a Statistical Perspective. CoRR abs/2402.03577 (2024) - [i153]A. V. Arun Kumar, Alistair Shilton, Sunil Gupta, Santu Rana, Stewart Greenhill, Svetha Venkatesh:
Enhanced Bayesian Optimization via Preferential Modeling of Abstract Properties. CoRR abs/2402.17343 (2024) - [i152]Hung Le, Dung Nguyen, Kien Do, Svetha Venkatesh, Truyen Tran:
Enhancing Length Extrapolation in Sequential Models with Pointer-Augmented Neural Memory. CoRR abs/2404.11870 (2024) - [i151]Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Novel Kernel Models and Exact Representor Theory for Neural Networks Beyond the Over-Parameterized Regime. CoRR abs/2405.15254 (2024) - [i150]Hung Le, Quan Tran, Dung Nguyen, Kien Do, Saloni Mittal, Kelechi Ogueji, Svetha Venkatesh:
Multi-Reference Preference Optimization for Large Language Models. CoRR abs/2405.16388 (2024) - [i149]Banibrata Ghosh, Haripriya Harikumar, Khoa D. Doan, Svetha Venkatesh, Santu Rana:
Composite Concept Extraction through Backdooring. CoRR abs/2406.13411 (2024) - [i148]Minh Hoang Nguyen, Hung Le, Svetha Venkatesh:
Variable-Agnostic Causal Exploration for Reinforcement Learning. CoRR abs/2407.12437 (2024) - [i147]Dai Do, Quan Tran, Svetha Venkatesh, Hung Le:
Large Language Models Prompting With Episodic Memory. CoRR abs/2408.07465 (2024) - [i146]Hung Le, Kien Do, Dung Nguyen, Sunil Gupta, Svetha Venkatesh:
Stable Hadamard Memory: Revitalizing Memory-Augmented Agents for Reinforcement Learning. CoRR abs/2410.10132 (2024) - [i145]Dang Nguyen, Sunil Gupta, Kien Do, Thin Nguyen, Svetha Venkatesh:
Generating Realistic Tabular Data with Large Language Models. CoRR abs/2410.21717 (2024) - 2023
- [j154]Thommen George Karimpanal, Hung Le, Majid Abdolshah, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh:
Balanced Q-learning: Combining the influence of optimistic and pessimistic targets. Artif. Intell. 325: 104021 (2023) - [j153]Romero F. A. B. de Morais, Vuong Le, Catherine Morgan, Alicia J. Spittle, Nadia Badawi, Jane Valentine, Elizabeth M. Hurrion, Paul A Dawson, Truyen Tran, Svetha Venkatesh:
Robust and Interpretable General Movement Assessment Using Fidgety Movement Detection. IEEE J. Biomed. Health Informatics 27(10): 5042-5053 (2023) - [c407]Thanh Nguyen-Tang, Ming Yin, Sunil Gupta, Svetha Venkatesh, Raman Arora:
On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation. AAAI 2023: 9310-9318 - [c406]Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Memory-Augmented Theory of Mind Network. AAAI 2023: 11630-11637 - [c405]Ragja Palakkadavath, Thanh Nguyen-Tang, Hung Le, Svetha Venkatesh, Sunil Gupta:
Domain Generalization with Interpolation Robustness. ACML 2023: 1039-1054 - [c404]Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran:
Persistent-Transient Duality: A Multi-mechanism Approach for Modeling Human-Object Interaction. ICCV 2023: 9824-9833 - [c403]Prashant W. Patil, Sunil Gupta, Santu Rana, Svetha Venkatesh, Subrahmanyam Murala:
Multi-weather Image Restoration via Domain Translation. ICCV 2023: 21639-21648 - [c402]Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Gradient Descent in Neural Networks as Sequential Learning in Reproducing Kernel Banach Space. ICML 2023: 31435-31488 - [c401]Dung Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training. IJCAI 2023: 4082-4090 - [c400]Wei Zong, Yang-Wai Chow, Willy Susilo, Kien Do, Svetha Venkatesh:
TrojanModel: A Practical Trojan Attack against Automatic Speech Recognition Systems. SP 2023: 1667-1683 - [c399]Thao Minh Le, Vuong Le, Sunil Gupta, Svetha Venkatesh, Truyen Tran:
Guiding Visual Question Answering with Attention Priors. WACV 2023: 4370-4379 - [i144]Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Memory-Augmented Theory of Mind Network. CoRR abs/2301.06926 (2023) - [i143]Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Gradient Descent in Neural Networks as Sequential Learning in RKBS. CoRR abs/2302.00205 (2023) - [i142]Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh:
Zero-shot Sim2Real Adaptation Across Environments. CoRR abs/2302.04013 (2023) - [i141]Sunil Gupta, Alistair Shilton, Arun Kumar A. V., Shannon Ryan, Majid Abdolshah, Hung Le, Santu Rana, Julian Berk, Mahad Rashid, Svetha Venkatesh:
BO-Muse: A human expert and AI teaming framework for accelerated experimental design. CoRR abs/2303.01684 (2023) - [i140]Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran:
Persistent-Transient Duality: A Multi-mechanism Approach for Modeling Human-Object Interaction. CoRR abs/2307.12729 (2023) - [i139]Manisha Senadeera, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Predictive Modeling through Hyper-Bayesian Optimization. CoRR abs/2308.00285 (2023) - [i138]Hung Le, Kien Do, Dung Nguyen, Svetha Venkatesh:
Intrinsic Motivation via Surprise Memory. CoRR abs/2308.04836 (2023) - [i137]Thommen George Karimpanal, Buddhika Laknath Semage, Santu Rana, Hung Le, Truyen Tran, Sunil Gupta, Svetha Venkatesh:
LaGR-SEQ: Language-Guided Reinforcement Learning with Sample-Efficient Querying. CoRR abs/2308.13542 (2023) - [i136]Tuan Hoang, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Learn to Unlearn for Deep Neural Networks: Minimizing Unlearning Interference with Gradient Projection. CoRR abs/2312.04095 (2023) - [i135]Phuoc Nguyen, Truyen Tran, Sunil Gupta, Thin Nguyen, Svetha Venkatesh:
Root Cause Explanation of Outliers under Noisy Mechanisms. CoRR abs/2312.11818 (2023) - 2022
- [j152]Haripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Ramachandra Kaimal, Svetha Venkatesh:
Prescriptive analytics with differential privacy. Int. J. Data Sci. Anal. 13(2): 123-138 (2022) - [j151]Deepthi Praveenlal Kuttichira, Sunil Gupta, Dang Nguyen, Santu Rana, Svetha Venkatesh:
Verification of integrity of deployed deep learning models using Bayesian Optimization. Knowl. Based Syst. 241: 108238 (2022) - [j150]Prashant W. Patil, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Dual-frame spatio-temporal feature modulation for video enhancement. Pattern Recognit. 130: 108822 (2022) - [j149]Thanh Nguyen-Tang, Sunil Gupta, Hung Tran-The, Svetha Venkatesh:
On Sample Complexity of Offline Reinforcement Learning with Deep ReLU Networks in Besov Spaces. Trans. Mach. Learn. Res. 2022 (2022) - [c398]Hung Le, Majid Abdolshah, Thommen George Karimpanal, Kien Do, Dung Nguyen, Svetha Venkatesh:
Episodic Policy Gradient Training. AAAI 2022: 7317-7325 - [c397]Alistair Shilton, Sunil Gupta, Santu Rana, Arun Kumar Anjanapura Venkatesh, Svetha Venkatesh:
TRF: Learning Kernels with Tuned Random Features. AAAI 2022: 8286-8294 - [c396]Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization. AISTATS 2022: 8715-8737 - [c395]Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Learning Theory of Mind via Dynamic Traits Attribution. AAMAS 2022: 954-962 - [c394]Dung Nguyen, Phuoc Nguyen, Svetha Venkatesh, Truyen Tran:
Learning to Transfer Role Assignment Across Team Sizes. AAMAS 2022: 963-971 - [c393]Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran:
Persistent-Transient Duality in Human Behavior Modeling. CVPR Workshops 2022: 2527-2530 - [c392]Prashant W. Patil, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Video Restoration Framework and Its Meta-adaptations to Data-Poor Conditions. ECCV (28) 2022: 143-160 - [c391]Dang Nguyen, Sunil Gupta, Kien Do, Svetha Venkatesh:
Black-Box Few-Shot Knowledge Distillation. ECCV (21) 2022: 196-211 - [c390]Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh:
Towards Effective and Robust Neural Trojan Defenses via Input Filtering. ECCV (5) 2022: 283-300 - [c389]Thanh Nguyen-Tang, Sunil Gupta, A. Tuan Nguyen, Svetha Venkatesh:
Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization. ICLR 2022 - [c388]Kha Pham, Hung Le, Man Ngo, Truyen Tran, Bao Ho, Svetha Venkatesh:
Generative Pseudo-Inverse Memory. ICLR 2022 - [c387]Hung Le, Svetha Venkatesh:
Neurocoder: General-Purpose Computation Using Stored Neural Programs. ICML 2022: 12204-12221 - [c386]Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh:
Intuitive Physics Guided Exploration for Sample Efficient Sim2real Transfer. ICPR Workshops (2) 2022: 674-686 - [c385]Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh:
Fast Model-based Policy Search for Universal Policy Networks. ICPR 2022: 2314-2320 - [c384]Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh:
Uncertainty Aware System Identification with Universal Policies. ICPR 2022: 2321-2327 - [c383]Stewart Greenhill, Majid Abdolshah, Vuong Le, Sunil Gupta, Svetha Venkatesh:
Semantic Control of Generative Musical Attributes. ISMIR 2022: 817-824 - [c382]Kien Do, Hung Le, Dung Nguyen, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh:
Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation. NeurIPS 2022 - [c381]Thai Hung Le, Thommen Karimpanal George, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh:
Learning to Constrain Policy Optimization with Virtual Trust Region. NeurIPS 2022 - [c380]Hung Tran-The, Sunil Gupta, Santu Rana, Tuan Truong, Long Tran-Thanh, Svetha Venkatesh:
Expected Improvement for Contextual Bandits. NeurIPS 2022 - [c379]Arun Kumar A. V., Santu Rana, Alistair Shilton, Svetha Venkatesh:
Human-AI Collaborative Bayesian Optimisation. NeurIPS 2022 - [c378]Preeti Gopal, Sunil Gupta, Santu Rana, Vuong Le, Trong Nguyen, Svetha Venkatesh:
Real-Time Skill Discovery in Intelligent Virtual Assistants. PAKDD (1) 2022: 315-327 - [i134]Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh:
Fast Model-based Policy Search for Universal Policy Networks. CoRR abs/2202.05843 (2022) - [i133]Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh:
Uncertainty Aware System Identification with Universal Policies. CoRR abs/2202.05844 (2022) - [i132]Kien Do, Haripriya Harikumar, Hung Le, Dung Nguyen, Truyen Tran, Santu Rana, Dang Nguyen, Willy Susilo, Svetha Venkatesh:
Towards Effective and Robust Neural Trojan Defenses via Input Filtering. CoRR abs/2202.12154 (2022) - [i131]Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization. CoRR abs/2203.07875 (2022) - [i130]Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Learning Theory of Mind via Dynamic Traits Attribution. CoRR abs/2204.09047 (2022) - [i129]Hung Le, Thommen George Karimpanal, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh:
Memory-Constrained Policy Optimization. CoRR abs/2204.09315 (2022) - [i128]Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran:
Persistent-Transient Duality in Human Behavior Modeling. CoRR abs/2204.09875 (2022) - [i127]Dung Nguyen, Phuoc Nguyen, Svetha Venkatesh, Truyen Tran:
Learning to Transfer Role Assignment Across Team Sizes. CoRR abs/2204.12937 (2022) - [i126]Phuoc Nguyen, Truyen Tran, Ky Le, Sunil Gupta, Santu Rana, Dang Nguyen, Trong Nguyen, Shannon Ryan, Svetha Venkatesh:
Fast Conditional Network Compression Using Bayesian HyperNetworks. CoRR abs/2205.06404 (2022) - [i125]Thao Minh Le, Vuong Le, Sunil Gupta, Svetha Venkatesh, Truyen Tran:
Guiding Visual Question Answering with Attention Priors. CoRR abs/2205.12616 (2022) - [i124]Haripriya Harikumar, Santu Rana, Kien Do, Sunil Gupta, Wei Zong, Willy Susilo, Svetha Venkatesh:
Defense Against Multi-target Trojan Attacks. CoRR abs/2207.03895 (2022) - [i123]Dang Nguyen, Sunil Gupta, Kien Do, Svetha Venkatesh:
Black-box Few-shot Knowledge Distillation. CoRR abs/2207.12106 (2022) - [i122]Kien Do, Hung Le, Dung Nguyen, Dang Nguyen, Haripriya Harikumar, Truyen Tran, Santu Rana, Svetha Venkatesh:
Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation. CoRR abs/2209.10359 (2022) - [i121]Thanh Nguyen-Tang, Ming Yin, Sunil Gupta, Svetha Venkatesh, Raman Arora:
On Instance-Dependent Bounds for Offline Reinforcement Learning with Linear Function Approximation. CoRR abs/2211.13208 (2022) - 2021
- [j148]Haripriya Harikumar, Thomas P. Quinn, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Personalized single-cell networks: a framework to predict the response of any gene to any drug for any patient. BioData Min. 14(1) (2021) - [j147]Thin Nguyen, Hang Le, Thomas P. Quinn, Tri Nguyen, Thuc Duy Le, Svetha Venkatesh:
GraphDTA: predicting drug-target binding affinity with graph neural networks. Bioinform. 37(8): 1140-1147 (2021) - [j146]Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran:
Hierarchical Conditional Relation Networks for Multimodal Video Question Answering. Int. J. Comput. Vis. 129(11): 3027-3050 (2021) - [j145]Dang Nguyen, Sunil Gupta, Santu Rana, Alistair Shilton, Svetha Venkatesh:
Fairness improvement for black-box classifiers with Gaussian process. Inf. Sci. 576: 542-556 (2021) - [j144]Phuc Luong, Dang Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Adaptive cost-aware Bayesian optimization. Knowl. Based Syst. 232: 107481 (2021) - [j143]Thin Nguyen, Samuel C. Lee, Thomas P. Quinn, Buu Minh Thanh Truong, Xiaomei Li, Truyen Tran, Svetha Venkatesh, Thuc Duy Le:
PAN: Personalized Annotation-Based Networks for the Prediction of Breast Cancer Relapse. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2841-2847 (2021) - [j142]Binh Nguyen-Thai, Vuong Le, Catherine Morgan, Nadia Badawi, Truyen Tran, Svetha Venkatesh:
A Spatio-Temporal Attention-Based Model for Infant Movement Assessment From Videos. IEEE J. Biomed. Health Informatics 25(10): 3911-3920 (2021) - [c377]Kien Do, Truyen Tran, Svetha Venkatesh:
Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization. AAAI 2021: 7236-7244 - [c376]Thanh Nguyen-Tang, Sunil Gupta, Svetha Venkatesh:
Distributional Reinforcement Learning via Moment Matching. AAAI 2021: 9144-9152 - [c375]Huong Ha, Sunil Gupta, Santu Rana, Svetha Venkatesh:
High Dimensional Level Set Estimation with Bayesian Neural Network. AAAI 2021: 12095-12103 - [c374]Romero F. A. B. de Morais, Vuong Le, Svetha Venkatesh, Truyen Tran:
Learning Asynchronous and Sparse Human-Object Interaction in Videos. CVPR 2021: 16041-16050 - [c373]Kien Do, Truyen Tran, Svetha Venkatesh:
Clustering by Maximizing Mutual Information Across Views. ICCV 2021: 9908-9918 - [c372]Majid Abdolshah, Hung Le, Thommen George Karimpanal, Sunil Gupta, Santu Rana, Svetha Venkatesh:
A New Representation of Successor Features for Transfer across Dissimilar Environments. ICML 2021: 1-9 - [c371]Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Bayesian Optimistic Optimisation with Exponentially Decaying Regret. ICML 2021: 10390-10400 - [c370]Wei Zong, Yang-Wai Chow, Willy Susilo, Santu Rana, Svetha Venkatesh:
Targeted Universal Adversarial Perturbations for Automatic Speech Recognition. ISC 2021: 358-373 - [c369]Arun Kumar Anjanapura Venkatesh, Alistair Shilton, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Kernel Functional Optimisation. NeurIPS 2021: 4725-4737 - [c368]Hung Le, Thommen George Karimpanal, Majid Abdolshah, Truyen Tran, Svetha Venkatesh:
Model-Based Episodic Memory Induces Dynamic Hybrid Controls. NeurIPS 2021: 30313-30325 - [c367]Ang Yang, Cheng Li, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Sparse Spectrum Gaussian Process for Bayesian Optimization. PAKDD (2) 2021: 257-268 - [c366]Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Hieu-Chi Dam, Svetha Venkatesh:
Variational Hyper-encoding Networks. ECML/PKDD (2) 2021: 100-115 - [c365]Dang Nguyen, Sunil Gupta, Trong Nguyen, Santu Rana, Phuoc Nguyen, Truyen Tran, Ky Le, Shannon Ryan, Svetha Venkatesh:
Knowledge Distillation with Distribution Mismatch. ECML/PKDD (2) 2021: 250-265 - [c364]Phuoc Nguyen, Truyen Tran, Ky Le, Sunil Gupta, Santu Rana, Dang Nguyen, Trong Nguyen, Shannon Ryan, Svetha Venkatesh:
Fast Conditional Network Compression Using Bayesian HyperNetworks. ECML/PKDD (3) 2021: 330-345 - [i120]Romero F. A. B. de Morais, Vuong Le, Svetha Venkatesh, Truyen Tran:
Learning Asynchronous and Sparse Human-Object Interaction in Videos. CoRR abs/2103.02758 (2021) - [i119]Thanh Nguyen-Tang, Sunil Gupta, Hung Tran-The, Svetha Venkatesh:
On Finite-Sample Analysis of Offline Reinforcement Learning with Deep ReLU Networks. CoRR abs/2103.06671 (2021) - [i118]Huong Ha, Sunil Gupta, Santu Rana, Svetha Venkatesh:
ALT-MAS: A Data-Efficient Framework for Active Testing of Machine Learning Algorithms. CoRR abs/2104.04999 (2021) - [i117]Buddhika Laknath Semage, Thommen George Karimpanal, Santu Rana, Svetha Venkatesh:
Intuitive Physics Guided Exploration for Sample Efficient Sim2real Transfer. CoRR abs/2104.08795 (2021) - [i116]Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Bayesian Optimistic Optimisation with Exponentially Decaying Regret. CoRR abs/2105.04332 (2021) - [i115]Binh Nguyen-Thai, Vuong Le, Catherine Morgan, Nadia Badawi, Truyen Tran, Svetha Venkatesh:
A Spatio-temporal Attention-based Model for Infant Movement Assessment from Videos. CoRR abs/2105.09783 (2021) - [i114]Majid Abdolshah, Hung Le, Thommen George Karimpanal, Sunil Gupta, Santu Rana, Svetha Venkatesh:
A New Representation of Successor Features for Transfer across Dissimilar Environments. CoRR abs/2107.08426 (2021) - [i113]Hung Tran-The, Sunil Gupta, Thanh Nguyen-Tang, Santu Rana, Svetha Venkatesh:
Combining Online Learning and Offline Learning for Contextual Bandits with Deficient Support. CoRR abs/2107.11533 (2021) - [i112]Kien Do, Truyen Tran, Svetha Venkatesh:
Clustering by Maximizing Mutual Information Across Views. CoRR abs/2107.11635 (2021) - [i111]Majid Abdolshah, Hung Le, Thommen George Karimpanal, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Plug and Play, Model-Based Reinforcement Learning. CoRR abs/2108.08960 (2021) - [i110]Thomas P. Quinn, Sunil Gupta, Svetha Venkatesh, Vuong Le:
A Field Guide to Scientific XAI: Transparent and Interpretable Deep Learning for Bioinformatics Research. CoRR abs/2110.08253 (2021) - [i109]Haripriya Harikumar, Kien Do, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Semantic Host-free Trojan Attack. CoRR abs/2110.13414 (2021) - [i108]Hung Le, Thommen George Karimpanal, Majid Abdolshah, Truyen Tran, Svetha Venkatesh:
Model-Based Episodic Memory Induces Dynamic Hybrid Controls. CoRR abs/2111.02104 (2021) - [i107]Thommen George Karimpanal, Hung Le, Majid Abdolshah, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh:
Balanced Q-learning: Combining the Influence of Optimistic and Pessimistic Targets. CoRR abs/2111.02787 (2021) - [i106]Thanh Nguyen-Tang, Sunil Gupta, A. Tuan Nguyen, Svetha Venkatesh:
Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization. CoRR abs/2111.13807 (2021) - [i105]Hung Le, Majid Abdolshah, Thommen George Karimpanal, Kien Do, Dung Nguyen, Svetha Venkatesh:
Episodic Policy Gradient Training. CoRR abs/2112.01853 (2021) - 2020
- [j141]Stewart Greenhill, Santu Rana, Sunil Gupta, Pratibha Vellanki, Svetha Venkatesh:
Bayesian Optimization for Adaptive Experimental Design: A Review. IEEE Access 8: 13937-13948 (2020) - [j140]Thin Nguyen, Mark E. Larsen, Bridianne O'Dea, Hung Nguyen, Duc Thanh Nguyen, John Yearwood, Dinh Quoc Phung, Svetha Venkatesh, Helen Christensen:
Using spatiotemporal distribution of geocoded Twitter data to predict US county-level health indices. Future Gener. Comput. Syst. 110: 620-628 (2020) - [j139]Tinu Theckel Joy, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Batch Bayesian optimization using multi-scale search. Knowl. Based Syst. 187 (2020) - [j138]Julian Berk, Sunil Gupta, Santu Rana, Vu Nguyen, Svetha Venkatesh:
Bayesian optimisation in unknown bounded search domains. Knowl. Based Syst. 195: 105645 (2020) - [j137]Anil Ramachandran, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh:
Incorporating expert prior in Bayesian optimisation via space warping. Knowl. Based Syst. 195: 105663 (2020) - [j136]Tinu Theckel Joy, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Fast hyperparameter tuning using Bayesian optimization with directional derivatives. Knowl. Based Syst. 205: 106247 (2020) - [j135]Steven Allender, Joshua Hayward, Sunil Gupta, A. Sanigorski, Santu Rana, Hugh Seward, Stephan Jacobs, Svetha Venkatesh:
Bayesian strategy selection identifies optimal solutions to complex problems using an example from GP prescribing. npj Digit. Medicine 3 (2020) - [c363]Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization. AAAI 2020: 2425-2432 - [c362]Dang Nguyen, Sunil Gupta, Santu Rana, Alistair Shilton, Svetha Venkatesh:
Bayesian Optimization for Categorical and Category-Specific Continuous Inputs. AAAI 2020: 5256-5263 - [c361]Dung Nguyen, Svetha Venkatesh, Phuoc Nguyen, Truyen Tran:
Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning. ACML 2020: 33-48 - [c360]Alistair Shilton, Sunil Gupta, Santu Rana, Pratibha Vellanki, Cheng Li, Svetha Venkatesh, Laurence Park, Alessandra Sutti, David Rubin, Thomas Dorin, Alireza Vahid, Murray Height, Teo Slezak:
Accelerated Bayesian Optimisation through Weight-Prior Tuning. AISTATS 2020: 635-645 - [c359]Thanh Tang Nguyen, Sunil Gupta, Huong Ha, Santu Rana, Svetha Venkatesh:
Distributionally Robust Bayesian Quadrature Optimization. AISTATS 2020: 1921-1931 - [c358]Romero F. A. B. de Morais, Vuong Le, Truyen Tran, Svetha Venkatesh:
Learning to Abstract and Predict Human Actions. BMVC 2020 - [c357]Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran:
Hierarchical Conditional Relation Networks for Video Question Answering. CVPR 2020: 9969-9978 - [c356]Hung Le, Truyen Tran, Svetha Venkatesh:
Neural Stored-program Memory. ICLR 2020 - [c355]Hung Le, Truyen Tran, Svetha Venkatesh:
Self-Attentive Associative Memory. ICML 2020: 5682-5691 - [c354]Thomas P. Quinn, Dang Nguyen, Santu Rana, Sunil Gupta, Svetha Venkatesh:
DeepCoDA: personalized interpretability for compositional health data. ICML 2020: 7877-7886 - [c353]Thin Nguyen, Duc Thanh Nguyen, Thuc Duy Le, Svetha Venkatesh:
MrPC: Causal Structure Learning in Distributed Systems. ICONIP (4) 2020: 87-94 - [c352]Cheng Li, Santu Rana, Andrew Gill, Dang Nguyen, Sunil Gupta, Svetha Venkatesh:
Factor Screening using Bayesian Active Learning and Gaussian Process Meta-Modelling. ICPR 2020: 3288-3295 - [c351]Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran:
Dynamic Language Binding in Relational Visual Reasoning. IJCAI 2020: 818-824 - [c350]Julian Berk, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation. IJCAI 2020: 2284-2290 - [c349]Thommen George Karimpanal, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh:
Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning. IJCNN 2020: 1-10 - [c348]Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran:
Neural Reasoning, Fast and Slow, for Video Question Answering. IJCNN 2020: 1-8 - [c347]Susanne Boll, Hari Sundaram, Svetha Venkatesh, Martha A. Larson, Mohan S. Kankanhalli:
The World has Changed - The World Needs to Change. What Multimedia has to Offer for Our Common Digital Future. ACM Multimedia 2020: 4796-4798 - [c346]Hung Tran-The, Sunil Gupta, Santu Rana, Huong Ha, Svetha Venkatesh:
Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces. NeurIPS 2020 - [c345]Manisha Senadeera, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Level Set Estimation with Search Space Warping. PAKDD (2) 2020: 827-839 - [c344]Haripriya Harikumar, Vuong Le, Santu Rana, Sourangshu Bhattacharya, Sunil Gupta, Svetha Venkatesh:
Scalable Backdoor Detection in Neural Networks. ECML/PKDD (2) 2020: 289-304 - [c343]Phuc Luong, Dang Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Bayesian Optimization with Missing Inputs. ECML/PKDD (2) 2020: 691-706 - [i104]Thanh Tang Nguyen, Sunil Gupta, Huong Ha, Santu Rana, Svetha Venkatesh:
Distributionally Robust Bayesian Quadrature Optimization. CoRR abs/2001.06814 (2020) - [i103]Hung Le, Truyen Tran, Svetha Venkatesh:
Self-Attentive Associative Memory. CoRR abs/2002.03519 (2020) - [i102]Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran:
Hierarchical Conditional Relation Networks for Video Question Answering. CoRR abs/2002.10698 (2020) - [i101]Cheng Li, Sunil Gupta, Santu Rana, Vu Nguyen, Antonio Robles-Kelly, Svetha Venkatesh:
Incorporating Expert Prior Knowledge into Experimental Design via Posterior Sampling. CoRR abs/2002.11256 (2020) - [i100]Anil Ramachandran, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh:
Incorporating Expert Prior in Bayesian Optimisation via Space Warping. CoRR abs/2003.12250 (2020) - [i99]Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran:
Dynamic Language Binding in Relational Visual Reasoning. CoRR abs/2004.14603 (2020) - [i98]Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Hieu-Chi Dam, Svetha Venkatesh:
HyperVAE: A Minimum Description Length Variational Hyper-Encoding Network. CoRR abs/2005.08482 (2020) - [i97]Thomas P. Quinn, Dang Nguyen, Santu Rana, Sunil Gupta, Svetha Venkatesh:
DeepCoDA: personalized interpretability for compositional health data. CoRR abs/2006.01392 (2020) - [i96]Julian Berk, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation. CoRR abs/2006.04296 (2020) - [i95]Haripriya Harikumar, Vuong Le, Santu Rana, Sourangshu Bhattacharya, Sunil Gupta, Svetha Venkatesh:
Scalable Backdoor Detection in Neural Networks. CoRR abs/2006.05646 (2020) - [i94]Phuc Luong, Dang Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Bayesian Optimization with Missing Inputs. CoRR abs/2006.10948 (2020) - [i93]Thanh Tang Nguyen, Sunil Gupta, Svetha Venkatesh:
Distributional Reinforcement Learning with Maximum Mean Discrepancy. CoRR abs/2007.12354 (2020) - [i92]Romero F. A. B. de Morais, Vuong Le, Truyen Tran, Svetha Venkatesh:
Learning to Abstract and Predict Human Actions. CoRR abs/2008.09234 (2020) - [i91]Hung Tran-The, Sunil Gupta, Santu Rana, Huong Ha, Svetha Venkatesh:
Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces. CoRR abs/2009.02539 (2020) - [i90]Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Sequential Subspace Search for Functional Bayesian Optimization Incorporating Experimenter Intuition. CoRR abs/2009.03543 (2020) - [i89]Dung Nguyen, Svetha Venkatesh, Phuoc Nguyen, Truyen Tran:
Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning. CoRR abs/2009.07445 (2020) - [i88]Hung Le, Svetha Venkatesh:
Neurocoder: Learning General-Purpose Computation Using Stored Neural Programs. CoRR abs/2009.11443 (2020) - [i87]Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran:
Hierarchical Conditional Relation Networks for Multimodal Video Question Answering. CoRR abs/2010.10019 (2020) - [i86]Anh-Cat Le-Ngo, Truyen Tran, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Logically Consistent Loss for Visual Question Answering. CoRR abs/2011.10094 (2020) - [i85]Kien Do, Truyen Tran, Svetha Venkatesh:
Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization. CoRR abs/2012.01793 (2020) - [i84]Huong Ha, Sunil Gupta, Santu Rana, Svetha Venkatesh:
High Dimensional Level Set Estimation with Bayesian Neural Network. CoRR abs/2012.09973 (2020)
2010 – 2019
- 2019
- [j134]Tinu Theckel Joy, Santu Rana, Sunil Gupta, Svetha Venkatesh:
A flexible transfer learning framework for Bayesian optimization with convergence guarantee. Expert Syst. Appl. 115: 656-672 (2019) - [j133]Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh:
Filtering Bayesian optimization approach in weakly specified search space. Knowl. Inf. Syst. 60(1): 385-413 (2019) - [j132]Kien Do, Truyen Tran, Thin Nguyen, Svetha Venkatesh:
Attentional multilabel learning over graphs: a message passing approach. Mach. Learn. 108(10): 1757-1781 (2019) - [j131]Kit Huckvale, Svetha Venkatesh, Helen Christensen:
Toward clinical digital phenotyping: a timely opportunity to consider purpose, quality, and safety. npj Digit. Medicine 2 (2019) - [c342]Pratibha Vellanki, Santu Rana, Sunil Gupta, David Rubin de Celis Leal, Alessandra Sutti, Murray Height, Svetha Venkatesh:
Bayesian Functional Optimisation with Shape Prior. AAAI 2019: 1617-1624 - [c341]A. V. Arun Kumar, Santu Rana, Cheng Li, Sunil Gupta, Alistair Shilton, Svetha Venkatesh:
Bayesian Optimisation for Objective Functions with Varying Smoothness. Australasian Conference on Artificial Intelligence 2019: 460-472 - [c340]Phuc Luong, Sunil Gupta, Dang Nguyen, Santu Rana, Svetha Venkatesh:
Bayesian Optimization with Discrete Variables. Australasian Conference on Artificial Intelligence 2019: 473-484 - [c339]Deepthi Praveenlal Kuttichira, Sunil Gupta, Dang Nguyen, Santu Rana, Svetha Venkatesh:
Detection of Compromised Models Using Bayesian Optimization. Australasian Conference on Artificial Intelligence 2019: 485-496 - [c338]Anil Ramachandran, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Information-Theoretic Multi-task Learning Framework for Bayesian Optimisation. Australasian Conference on Artificial Intelligence 2019: 497-509 - [c337]Romero F. A. B. de Morais, Vuong Le, Truyen Tran, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh:
Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos. CVPR 2019: 11996-12004 - [c336]Dong Gong, Lingqiao Liu, Vuong Le, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh, Anton van den Hengel:
Memorizing Normality to Detect Anomaly: Memory-Augmented Deep Autoencoder for Unsupervised Anomaly Detection. ICCV 2019: 1705-1714 - [c335]Vu Nguyen, Sunil Gupta, Santu Rana, My T. Thai, Cheng Li, Svetha Venkatesh:
Efficient Bayesian Optimization for Uncertainty Reduction Over Perceived Optima Locations. ICDM 2019: 1270-1275 - [c334]Hung Le, Truyen Tran, Svetha Venkatesh:
Learning to Remember More with Less Memorization. ICLR 2019 - [c333]Hoang Thanh-Tung, Truyen Tran, Svetha Venkatesh:
Improving Generalization and Stability of Generative Adversarial Networks. ICLR (Poster) 2019 - [c332]Kien Do, Truyen Tran, Svetha Venkatesh:
Graph Transformation Policy Network for Chemical Reaction Prediction. KDD 2019: 750-760 - [c331]Huong Ha, Santu Rana, Sunil Gupta, Thanh Tang Nguyen, Hung Tran-The, Svetha Venkatesh:
Bayesian Optimization with Unknown Search Space. NeurIPS 2019: 11772-11781 - [c330]Majid Abdolshah, Alistair Shilton, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Multi-objective Bayesian optimisation with preferences over objectives. NeurIPS 2019: 12214-12224 - [c329]Deepthi Praveenlal Kuttichira, Sunil Gupta, Cheng Li, Santu Rana, Svetha Venkatesh:
Explaining Black-Box Models Using Interpretable Surrogates. PRICAI (1) 2019: 3-15 - [c328]Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Matthew Barnett, Svetha Venkatesh:
Incomplete Conditional Density Estimation for Fast Materials Discovery. SDM 2019: 549-557 - [i83]Hung Le, Truyen Tran, Svetha Venkatesh:
Learning to Remember More with Less Memorization. CoRR abs/1901.01347 (2019) - [i82]Tinu Theckel Joy, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Fast Hyperparameter Tuning using Bayesian Optimization with Directional Derivatives. CoRR abs/1902.02416 (2019) - [i81]Hoang Thanh-Tung, Truyen Tran, Svetha Venkatesh:
Improving Generalization and Stability of Generative Adversarial Networks. CoRR abs/1902.03984 (2019) - [i80]Majid Abdolshah, Alistair Shilton, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Multi-objective Bayesian optimisation with preferences over objectives. CoRR abs/1902.04228 (2019) - [i79]Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh, Majid Abdolshah, Dang Nguyen:
Stable Bayesian Optimisation via Direct Stability Quantification. CoRR abs/1902.07846 (2019) - [i78]Romero F. A. B. de Morais, Vuong Le, Truyen Tran, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh:
Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos. CoRR abs/1903.03295 (2019) - [i77]Dong Gong, Lingqiao Liu, Vuong Le, Budhaditya Saha, Moussa Reda Mansour, Svetha Venkatesh, Anton van den Hengel:
Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection. CoRR abs/1904.02639 (2019) - [i76]Hung Le, Truyen Tran, Svetha Venkatesh:
Neural Stored-program Memory. CoRR abs/1906.08862 (2019) - [i75]Ang Yang, Cheng Li, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Sparse Spectrum Gaussian Process for Bayesian Optimisation. CoRR abs/1906.08898 (2019) - [i74]Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran:
Learning to Reason with Relational Video Representation for Question Answering. CoRR abs/1907.04553 (2019) - [i73]Cheng Li, Santu Rana, Sunil Gupta, Vu Nguyen, Svetha Venkatesh, Alessandra Sutti, David Rubin de Celis Leal, Teo Slezak, Murray Height, Mazher Mohammed, Ian Gibson:
Accelerating Experimental Design by Incorporating Experimenter Hunches. CoRR abs/1907.09065 (2019) - [i72]Majid Abdolshah, Alistair Shilton, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Cost-aware Multi-objective Bayesian optimisation. CoRR abs/1909.03600 (2019) - [i71]Thommen George Karimpanal, Santu Rana, Sunil Gupta, Truyen Tran, Svetha Venkatesh:
Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning. CoRR abs/1909.04307 (2019) - [i70]Huong Ha, Santu Rana, Sunil Gupta, Thanh Tang Nguyen, Hung Tran-The, Svetha Venkatesh:
Bayesian Optimization with Unknown Search Space. CoRR abs/1910.13092 (2019) - [i69]Hung Tran-The, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Trading Convergence Rate with Computational Budget in High Dimensional Bayesian Optimization. CoRR abs/1911.11950 (2019) - [i68]Dang Nguyen, Sunil Gupta, Santu Rana, Alistair Shilton, Svetha Venkatesh:
Bayesian Optimization for Categorical and Category-Specific Continuous Inputs. CoRR abs/1911.12473 (2019) - 2018
- [j130]Thanh Dai Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Stable Bayesian optimization. Int. J. Data Sci. Anal. 6(4): 327-339 (2018) - [j129]Dang Nguyen, Wei Luo, Svetha Venkatesh, Dinh Q. Phung:
Effective Identification of Similar Patients Through Sequential Matching over ICD Code Embedding. J. Medical Syst. 42(5): 94:1-94:13 (2018) - [j128]Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung:
Academia versus social media: A psycho-linguistic analysis. J. Comput. Sci. 25: 228-237 (2018) - [j127]Adham Beykikhoshk, Ognjen Arandjelovic, Dinh Q. Phung, Svetha Venkatesh:
Discovering topic structures of a temporally evolving document corpus. Knowl. Inf. Syst. 55(3): 599-632 (2018) - [j126]Kien Do, Truyen Tran, Svetha Venkatesh:
Energy-based anomaly detection for mixed data. Knowl. Inf. Syst. 57(2): 413-435 (2018) - [j125]Dang Nguyen, Wei Luo, Dinh Q. Phung, Svetha Venkatesh:
LTARM: A novel temporal association rule mining method to understand toxicities in a routine cancer treatment. Knowl. Based Syst. 161: 313-328 (2018) - [c327]Sunil Gupta, Alistair Shilton, Santu Rana, Svetha Venkatesh:
Exploiting Strategy-Space Diversity for Batch Bayesian Optimization. AISTATS 2018: 538-547 - [c326]Ang Yang, Cheng Li, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Sparse Approximation for Gaussian Process with Derivative Observations. Australasian Conference on Artificial Intelligence 2018: 507-518 - [c325]Cheng Li, Santu Rana, Sunil Gupta, Vu Nguyen, Svetha Venkatesh, Alessandra Sutti, David Rubin de Celis Leal, Teo Slezak, Murray Height, Mazher Mohammed, Ian Gibson:
Accelerating Experimental Design by Incorporating Experimenter Hunches. ICDM 2018: 257-266 - [c324]Haripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Ramachandra Kaimal, Svetha Venkatesh:
Differentially Private Prescriptive Analytics. ICDM 2018: 995-1000 - [c323]Kien Do, Truyen Tran, Svetha Venkatesh:
Knowledge Graph Embedding with Multiple Relation Projections. ICPR 2018: 332-337 - [c322]Trang Pham, Truyen Tran, Svetha Venkatesh:
Graph Memory Networks for Molecular Activity Prediction. ICPR 2018: 639-644 - [c321]Majid Abdolshah, Alistair Shilton, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Expected Hypervolume Improvement with Constraints. ICPR 2018: 3238-3243 - [c320]Phuoc Nguyen, Truyen Tran, Svetha Venkatesh:
Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records. IJCNN 2018: 1-9 - [c319]Hung Le, Truyen Tran, Svetha Venkatesh:
Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning. KDD 2018: 1637-1645 - [c318]Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh:
Variational Memory Encoder-Decoder. NeurIPS 2018: 1515-1525 - [c317]Shivapratap Gopakumar, Sunil Gupta, Santu Rana, Vu Nguyen, Svetha Venkatesh:
Algorithmic Assurance: An Active Approach to Algorithmic Testing using Bayesian Optimisation. NeurIPS 2018: 5470-5478 - [c316]Hung Le, Truyen Tran, Svetha Venkatesh:
Dual Control Memory Augmented Neural Networks for Treatment Recommendations. PAKDD (3) 2018: 273-284 - [c315]Haripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Ramachandra Kaimal, Svetha Venkatesh:
Prescriptive Analytics Through Constrained Bayesian Optimization. PAKDD (1) 2018: 335-347 - [c314]Dang Nguyen, Tu Dinh Nguyen, Wei Luo, Svetha Venkatesh:
Trans2Vec: Learning Transaction Embedding via Items and Frequent Itemsets. PAKDD (3) 2018: 361-372 - [c313]Thanh Dai Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh:
A Privacy Preserving Bayesian Optimization with High Efficiency. PAKDD (3) 2018: 543-555 - [c312]Dang Nguyen, Wei Luo, Tu Dinh Nguyen, Svetha Venkatesh, Dinh Q. Phung:
Sqn2Vec: Learning Sequence Representation via Sequential Patterns with a Gap Constraint. ECML/PKDD (2) 2018: 569-584 - [c311]Julian Berk, Vu Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Exploration Enhanced Expected Improvement for Bayesian Optimization. ECML/PKDD (2) 2018: 621-637 - [c310]Anil Ramachandran, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Information-Theoretic Transfer Learning Framework for Bayesian Optimisation. ECML/PKDD (2) 2018: 827-842 - [c309]Anil Ramachandran, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Selecting Optimal Source for Transfer Learning in Bayesian Optimisation. PRICAI (1) 2018: 42-56 - [c308]Ang Yang, Cheng Li, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Efficient Bayesian Optimisation Using Derivative Meta-model. PRICAI 2018: 256-264 - [c307]Dang Nguyen, Wei Luo, Tu Dinh Nguyen, Svetha Venkatesh, Dinh Q. Phung:
Learning Graph Representation via Frequent Subgraphs. SDM 2018: 306-314 - [c306]Alistair Shilton, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Multi-Target Optimisation via Bayesian Optimisation and Linear Programming. UAI 2018: 145-155 - [c305]Hung Nguyen, Van Nguyen, Thin Nguyen, Mark E. Larsen, Bridianne O'Dea, Duc Thanh Nguyen, Trung Le, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen:
Jointly Predicting Affective and Mental Health Scores Using Deep Neural Networks of Visual Cues on the Web. WISE (2) 2018: 100-110 - [d3]Bridianne O'Dea, Tjeerd W. Boonstra, Mark E. Larsen, Thin Nguyen, Svetha Venkatesh, Helen Christensen:
The relationship between linguistic expression and symptoms of depression, anxiety, and suicidal thoughts: A longitudinal study of blog content. Zenodo, 2018
- [d2]Thomas P. Quinn, Samuel C. Lee, Svetha Venkatesh, Thin Nguyen:
Improving the classification of neuropsychiatric conditions using gene ontology terms as features: Figure Data. Version 1. Zenodo, 2018 [all versions] - [d1]Thomas P. Quinn, Samuel C. Lee, Svetha Venkatesh, Thin Nguyen:
Improving the classification of neuropsychiatric conditions using gene ontology terms as features: Figure Data. Version 2. Zenodo, 2018 [all versions] - [i67]Trang Pham, Truyen Tran, Svetha Venkatesh:
Graph Memory Networks for Molecular Activity Prediction. CoRR abs/1801.02622 (2018) - [i66]Kien Do, Truyen Tran, Svetha Venkatesh:
Knowledge Graph Embedding with Multiple Relation Projections. CoRR abs/1801.08641 (2018) - [i65]Hung Le, Truyen Tran, Svetha Venkatesh:
Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning. CoRR abs/1802.00662 (2018) - [i64]Phuoc Nguyen, Truyen Tran, Svetha Venkatesh:
Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records. CoRR abs/1802.00948 (2018) - [i63]Hung Le, Truyen Tran, Svetha Venkatesh:
Dual Control Memory Augmented Neural Networks for Treatment Recommendations. CoRR abs/1802.03689 (2018) - [i62]Kien Do, Truyen Tran, Thin Nguyen, Svetha Venkatesh:
Attentional Multilabel Learning over Graphs: A Message Passing Approach. CoRR abs/1804.00293 (2018) - [i61]Alistair Shilton, Sunil Gupta, Santu Rana, Pratibha Vellanki, Cheng Li, Svetha Venkatesh, Laurence Park, Alessandra Sutti, David Rubin, Thomas Dorin, Alireza Vahid, Murray Height, Teo Slezak:
Kernel Pre-Training in Feature Space via m-Kernels. CoRR abs/1805.07852 (2018) - [i60]Hoang Thanh-Tung, Truyen Tran, Svetha Venkatesh:
On catastrophic forgetting and mode collapse in Generative Adversarial Networks. CoRR abs/1807.04015 (2018) - [i59]Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh:
Variational Memory Encoder-Decoder. CoRR abs/1807.09950 (2018) - [i58]Trang Pham, Truyen Tran, Svetha Venkatesh:
Relational dynamic memory networks. CoRR abs/1808.04247 (2018) - [i57]Pratibha Vellanki, Santu Rana, Sunil Gupta, David Rubin de Celis Leal, Alessandra Sutti, Murray Height, Svetha Venkatesh:
Bayesian functional optimisation with shape prior. CoRR abs/1809.07260 (2018) - [i56]Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh:
Practical Batch Bayesian Optimization for Less Expensive Functions. CoRR abs/1811.01466 (2018) - [i55]Bridianne O'Dea, Tjeerd W. Boonstra, Mark E. Larsen, Thin Nguyen, Svetha Venkatesh, Helen Christensen:
The relationship between linguistic expression and symptoms of depression, anxiety, and suicidal thoughts: A longitudinal study of blog content. CoRR abs/1811.02750 (2018) - [i54]Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Hybrid Generative-Discriminative Models for Inverse Materials Design. CoRR abs/1811.06060 (2018) - [i53]Kien Do, Truyen Tran, Svetha Venkatesh:
Graph Transformation Policy Network for Chemical Reaction Prediction. CoRR abs/1812.09441 (2018) - 2017
- [j124]Truyen Tran, Dinh Quoc Phung, Hung Bui, Svetha Venkatesh:
Hierarchical semi-Markov conditional random fields for deep recursive sequential data. Artif. Intell. 246: 53-85 (2017) - [j123]Thin Nguyen, Mark E. Larsen, Bridianne O'Dea, Duc Thanh Nguyen, John Yearwood, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen:
Kernel-based features for predicting population health indices from geocoded social media data. Decis. Support Syst. 102: 22-31 (2017) - [j122]Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung:
Latent sentiment topic modelling and nonparametric discovery of online mental health-related communities. Int. J. Data Sci. Anal. 4(3): 209-231 (2017) - [j121]Thin Nguyen, Mark E. Larsen, Bridianne O'Dea, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen:
Estimation of the prevalence of adverse drug reactions from social media. Int. J. Medical Informatics 102: 130-137 (2017) - [j120]Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Predicting healthcare trajectories from medical records: A deep learning approach. J. Biomed. Informatics 69: 218-229 (2017) - [j119]Pratibha Vellanki, Thi V. Duong, Sunil Gupta, Svetha Venkatesh, Dinh Q. Phung:
Nonparametric discovery and analysis of learning patterns and autism subgroups from therapeutic data. Knowl. Inf. Syst. 51(1): 127-157 (2017) - [j118]Budhaditya Saha, Sunil Gupta, Dinh Q. Phung, Svetha Venkatesh:
Effective sparse imputation of patient conditions in electronic medical records for emergency risk predictions. Knowl. Inf. Syst. 53(1): 179-206 (2017) - [j117]Thin Nguyen, Bridianne O'Dea, Mark E. Larsen, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen:
Using linguistic and topic analysis to classify sub-groups of online depression communities. Multim. Tools Appl. 76(8): 10653-10676 (2017) - [j116]Phuoc Nguyen, Truyen Tran, Nilmini Wickramasinghe, Svetha Venkatesh:
Deepr: A Convolutional Net for Medical Records. IEEE J. Biomed. Health Informatics 21(1): 22-30 (2017) - [j115]Budhaditya Saha, Sunil Gupta, Dinh Q. Phung, Svetha Venkatesh:
A Framework for Mixed-Type Multioutcome Prediction With Applications in Healthcare. IEEE J. Biomed. Health Informatics 21(4): 1182-1191 (2017) - [c304]Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Column Networks for Collective Classification. AAAI 2017: 2485-2491 - [c303]Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh:
Regret for Expected Improvement over the Best-Observed Value and Stopping Condition. ACML 2017: 279-294 - [c302]Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Regret Bounds for Transfer Learning in Bayesian Optimisation. AISTATS 2017: 307-315 - [c301]Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh:
Bayesian Optimization in Weakly Specified Search Space. ICDM 2017: 347-356 - [c300]Santu Rana, Cheng Li, Sunil Gupta, Vu Nguyen, Svetha Venkatesh:
High Dimensional Bayesian Optimization with Elastic Gaussian Process. ICML 2017: 2883-2891 - [c299]Phuoc Nguyen, Truyen Tran, Svetha Venkatesh:
Deep Learning to Attend to Risk in ICU. KDH@IJCAI 2017: 25-29 - [c298]Cheng Li, Sunil Gupta, Santu Rana, Vu Nguyen, Svetha Venkatesh, Alistair Shilton:
High Dimensional Bayesian Optimization using Dropout. IJCAI 2017: 2096-2102 - [c297]Pratibha Vellanki, Santu Rana, Sunil Gupta, David Rubin, Alessandra Sutti, Thomas Dorin, Murray Height, Paul G. Sanders, Svetha Venkatesh:
Process-constrained batch Bayesian optimisation. NIPS 2017: 3414-3423 - [c296]Thanh Dai Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Stable Bayesian Optimization. PAKDD (2) 2017: 578-591 - [c295]Hung Vu, Tu Dinh Nguyen, Anthony Travers, Svetha Venkatesh, Dinh Q. Phung:
Energy-Based Localized Anomaly Detection in Video Surveillance. PAKDD (1) 2017: 641-653 - [c294]Thin Nguyen, Nguyen Hung, Svetha Venkatesh, Dinh Q. Phung:
Estimating Support Scores of Autism Communities in Large-Scale Web Information Systems. WISE (1) 2017: 347-355 - [c293]Thin Nguyen, Duc Thanh Nguyen, Mark E. Larsen, Bridianne O'Dea, John Yearwood, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen:
Prediction of Population Health Indices from Social Media using Kernel-based Textual and Temporal Features. WWW (Companion Volume) 2017: 99-107 - [i52]Trang Pham, Truyen Tran, Svetha Venkatesh:
One Size Fits Many: Column Bundle for Multi-X Learning. CoRR abs/1702.07021 (2017) - [i51]Kien Do, Truyen Tran, Svetha Venkatesh:
Matrix-centric Neural Networks. CoRR abs/1703.01454 (2017) - [i50]Vu Nguyen, Santu Rana, Sunil Gupta, Cheng Li, Svetha Venkatesh:
Budgeted Batch Bayesian Optimization With Unknown Batch Sizes. CoRR abs/1703.04842 (2017) - [i49]Phuoc Nguyen, Truyen Tran, Svetha Venkatesh:
Deep Learning to Attend to Risk in ICU. CoRR abs/1707.05010 (2017) - [i48]Trang Pham, Truyen Tran, Khanh Hoa Dam, Svetha Venkatesh:
Graph Classification via Deep Learning with Virtual Nodes. CoRR abs/1708.04357 (2017) - [i47]Hung Vu, Dinh Q. Phung, Tu Dinh Nguyen, Anthony Trevors, Svetha Venkatesh:
Energy-based Models for Video Anomaly Detection. CoRR abs/1708.05211 (2017) - [i46]Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Statistical Latent Space Approach for Mixed Data Modelling and Applications. CoRR abs/1708.05594 (2017) - [i45]Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Nonnegative Restricted Boltzmann Machines for Parts-based Representations Discovery and Predictive Model Stabilization. CoRR abs/1708.05603 (2017) - [i44]Phuoc Nguyen, Truyen Tran, Svetha Venkatesh:
Finding Algebraic Structure of Care in Time: A Deep Learning Approach. CoRR abs/1711.07980 (2017) - 2016
- [j114]Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Graph-induced restricted Boltzmann machines for document modeling. Inf. Sci. 328: 60-75 (2016) - [j113]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Collaborative filtering via sparse Markov random fields. Inf. Sci. 369: 221-237 (2016) - [j112]Iman Kamkar, Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh:
Stabilizing l1-norm prediction models by supervised feature grouping. J. Biomed. Informatics 59: 149-168 (2016) - [j111]Budhaditya Saha, Sunil Gupta, Dinh Q. Phung, Svetha Venkatesh:
Multiple task transfer learning with small sample sizes. Knowl. Inf. Syst. 46(2): 315-342 (2016) - [j110]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Modelling human preferences for ranking and collaborative filtering: a probabilistic ordered partition approach. Knowl. Inf. Syst. 47(1): 157-188 (2016) - [j109]Cheng Li, Santu Rana, Dinh Q. Phung, Svetha Venkatesh:
Data clustering using side information dependent Chinese restaurant processes. Knowl. Inf. Syst. 47(2): 463-488 (2016) - [j108]Sunil Gupta, Santu Rana, Budhaditya Saha, Dinh Q. Phung, Svetha Venkatesh:
A new transfer learning framework with application to model-agnostic multi-task learning. Knowl. Inf. Syst. 49(3): 933-973 (2016) - [j107]Cheng Li, Santu Rana, Dinh Q. Phung, Svetha Venkatesh:
Hierarchical Bayesian nonparametric models for knowledge discovery from electronic medical records. Knowl. Based Syst. 99: 168-182 (2016) - [j106]Sunil Gupta, Dinh Q. Phung, Svetha Venkatesh:
Modelling multilevel data in multimedia: A hierarchical factor analysis approach. Multim. Tools Appl. 75(9): 4933-4955 (2016) - [j105]Nguyen Cong Thuong, Sunil Gupta, Svetha Venkatesh, Dinh Q. Phung:
Nonparametric discovery of movement patterns from accelerometer signals. Pattern Recognit. Lett. 70: 52-58 (2016) - [j104]Ognjen Arandjelovic, Duc-Son Pham, Svetha Venkatesh:
CCTV Scene Perspective Distortion Estimation From Low-Level Motion Features. IEEE Trans. Circuits Syst. Video Technol. 26(5): 939-949 (2016) - [j103]Budhaditya Saha, Thin Nguyen, Dinh Q. Phung, Svetha Venkatesh:
A Framework for Classifying Online Mental Health-Related Communities With an Interest in Depression. IEEE J. Biomed. Health Informatics 20(4): 1008-1015 (2016) - [c292]Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh:
A Bayesian Nonparametric Approach for Multi-label Classification. ACML 2016: 254-269 - [c291]Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung:
Textual Cues for Online Depression in Community and Personal Settings. ADMA 2016: 19-34 - [c290]Kien Do, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Outlier Detection on Mixed-Type Data: An Energy-Based Approach. ADMA 2016: 111-125 - [c289]Haripriya Harikumar, Thin Nguyen, Santu Rana, Sunil Gupta, Ramachandra Kaimal, Svetha Venkatesh:
Extracting Key Challenges in Achieving Sobriety Through Shared Subspace Learning. ADMA 2016: 420-433 - [c288]Haripriya Harikumar, Thin Nguyen, Sunil Gupta, Santu Rana, Ramachandra Kaimal, Svetha Venkatesh:
Understanding Behavioral Differences Between Short and Long-Term Drinking Abstainers from Social Media. ADMA 2016: 520-533 - [c287]Shivapratap Gopakumar, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Stabilizing Linear Prediction Models Using Autoencoder. ADMA 2016: 651-663 - [c286]Thanh Dai Nguyen, Sunil Gupta, Santu Rana, Vu Nguyen, Svetha Venkatesh, Kyle J. Deane, Paul G. Sanders:
Cascade Bayesian Optimization. Australasian Conference on Artificial Intelligence 2016: 268-280 - [c285]Dang Nguyen, Wei Luo, Dinh Q. Phung, Svetha Venkatesh:
Exceptional Contrast Set Mining: Moving Beyond the Deluge of the Obvious. Australasian Conference on Artificial Intelligence 2016: 455-468 - [c284]Nguyen Thanh Binh, Vu Nguyen, Nguyen Cong Thuong, Svetha Venkatesh, Mohan Kumar, Dinh Q. Phung:
Learning Multifaceted Latent Activities from Heterogeneous Mobile Data. DSAA 2016: 389-398 - [c283]Adham Beykikhoshk, Dinh Q. Phung, Ognjen Arandjelovic, Svetha Venkatesh:
Analysing the History of Autism Spectrum Disorder Using Topic Models. DSAA 2016: 762-771 - [c282]Pratibha Vellanki, Thi V. Duong, Dinh Q. Phung, Svetha Venkatesh:
Data Mining of Intervention for Children with Autism Spectrum Disorder. eHealth 360° 2016: 376-383 - [c281]Chandan K. Karmakar, Budhaditya Saha, Marimuthu Palaniswami, Svetha Venkatesh:
Multi-task transfer learning for in-hospital-death prediction of ICU patients. EMBC 2016: 3321-3324 - [c280]Vu Nguyen, Santu Rana, Sunil Kumar Gupta, Cheng Li, Svetha Venkatesh:
Budgeted Batch Bayesian Optimization. ICDM 2016: 1107-1112 - [c279]Vu Nguyen, Tu Dinh Nguyen, Trung Le, Svetha Venkatesh, Dinh Q. Phung:
One-Pass Logistic Regression for Label-Drift and Large-Scale Classification on Distributed Systems. ICDM 2016: 1113-1118 - [c278]Shivapratap Gopakumar, Truyen Tran, Wei Luo, Dinh Q. Phung, Svetha Venkatesh:
Forecasting Patient Outflow from Wards having No Real-Time Clinical Data. ICHI 2016: 177-183 - [c277]Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung:
Discovering latent affective dynamics among individuals in online mental health-related communities. ICME 2016: 1-6 - [c276]Budhaditya Saha, Sunil Gupta, Dinh Q. Phung, Svetha Venkatesh:
Transfer learning for rare cancer problems via Discriminative Sparse Gaussian Graphical model. ICPR 2016: 537-542 - [c275]Tinu Theckel Joy, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Hyperparameter tuning for big data using Bayesian optimisation. ICPR 2016: 2574-2579 - [c274]Cheng Li, Sunil Gupta, Santu Rana, Vu Nguyen, Svetha Venkatesh, David Ashely, Trish Livingston:
Multiple adverse effects prediction in longitudinal cancer treatment. ICPR 2016: 3156-3161 - [c273]Iman Kamkar, Sunil Gupta, Cheng Li, Dinh Q. Phung, Svetha Venkatesh:
Stable clinical prediction using graph support vector machines. ICPR 2016: 3332-3337 - [c272]Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Faster training of very deep networks via p-norm gates. ICPR 2016: 3542-3547 - [c271]Nguyen Thanh Binh, Vu Nguyen, Svetha Venkatesh, Dinh Q. Phung:
MCNC: Multi-Channel Nonparametric Clustering from heterogeneous data. ICPR 2016: 3633-3638 - [c270]Saravanan Subramanian, Santu Rana, Sunil Gupta, Palaniappan Bagavathi Sivakumar, C. Shunmuga Velayutham, Svetha Venkatesh:
Bayesian nonparametric Multiple Instance Regression. ICPR 2016: 3661-3666 - [c269]Duc-Son Pham, Ognjen Arandjelovic, Svetha Venkatesh:
Achieving stable subspace clustering by post-processing generic clustering results. IJCNN 2016: 2390-2396 - [c268]Truyen Tran, Wei Luo, Dinh Q. Phung, Jonathan Morris, Kristen Rickard, Svetha Venkatesh:
Preterm Birth Prediction: Stable Selection of Interpretable Rules from High Dimensional Data. MLHC 2016: 164-177 - [c267]Pratibha Vellanki, Stewart Greenhill, Thi V. Duong, Dinh Q. Phung, Svetha Venkatesh, Jayashree Godwin, Krishnaveni Achary, Blessin Varkey:
Computer assisted autism interventions for India. OZCHI 2016: 618-622 - [c266]Sunil Kumar Gupta, Santu Rana, Svetha Venkatesh:
Differentially Private Multi-task Learning. PAISI 2016: 101-113 - [c265]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Neural Choice by Elimination via Highway Networks. PAKDD Workshops 2016: 15-25 - [c264]Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
DeepCare: A Deep Dynamic Memory Model for Predictive Medicine. PAKDD (2) 2016: 30-41 - [c263]Tinu Theckel Joy, Santu Rana, Sunil Kumar Gupta, Svetha Venkatesh:
Flexible Transfer Learning Framework for Bayesian Optimisation. PAKDD (1) 2016: 102-114 - [c262]Nguyen Thanh Binh, Vu Nguyen, Svetha Venkatesh, Dinh Q. Phung:
Learning Multi-faceted Activities from Heterogeneous Data with the Product Space Hierarchical Dirichlet Processes. PAKDD Workshops 2016: 128-140 - [c261]Cheng Li, Sunil Gupta, Santu Rana, Wei Luo, Svetha Venkatesh, David Ashely, Dinh Q. Phung:
Toxicity Prediction in Cancer Using Multiple Instance Learning in a Multi-task Framework. PAKDD (1) 2016: 152-164 - [c260]Thanh Dai Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Privacy Aware K-Means Clustering with High Utility. PAKDD (2) 2016: 388-400 - [c259]Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung:
Effect of social capital on emotion, language style and latent topics in online depression community. RIVF 2016: 61-66 - [c258]Viet Huynh, Dinh Q. Phung, Svetha Venkatesh, XuanLong Nguyen, Matthew D. Hoffman, Hung Hai Bui:
Scalable Nonparametric Bayesian Multilevel Clustering. UAI 2016 - [c257]Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung:
Large-Scale Stylistic Analysis of Formality in Academia and Social Media. WISE (2) 2016: 137-145 - [c256]Thin Nguyen, Ron Borland, John Yearwood, Hua-Hie Yong, Svetha Venkatesh, Dinh Q. Phung:
Discriminative Cues for Different Stages of Smoking Cessation in Online Community. WISE (2) 2016: 146-153 - [i43]Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
DeepCare: A Deep Dynamic Memory Model for Predictive Medicine. CoRR abs/1602.00357 (2016) - [i42]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Collaborative filtering via sparse Markov random fields. CoRR abs/1602.02842 (2016) - [i41]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Choice by Elimination via Deep Neural Networks. CoRR abs/1602.05285 (2016) - [i40]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Learning deep representation of multityped objects and tasks. CoRR abs/1603.01359 (2016) - [i39]Nguyen Cong Thuong, Truyen Tran, Shivapratap Gopakumar, Dinh Q. Phung, Svetha Venkatesh:
An evaluation of randomized machine learning methods for redundant data: Predicting short and medium-term suicide risk from administrative records and risk assessments. CoRR abs/1605.01116 (2016) - [i38]Duc-Son Pham, Ognjen Arandjelovic, Svetha Venkatesh:
Achieving stable subspace clustering by post-processing generic clustering results. CoRR abs/1605.08680 (2016) - [i37]Phuoc Nguyen, Truyen Tran, Nilmini Wickramasinghe, Svetha Venkatesh:
Deepr: A Convolutional Net for Medical Records. CoRR abs/1607.07519 (2016) - [i36]Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Faster Training of Very Deep Networks Via p-Norm Gates. CoRR abs/1608.03639 (2016) - [i35]Kien Do, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Outlier Detection on Mixed-Type Data: An Energy-based Approach. CoRR abs/1608.04830 (2016) - [i34]Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Column Networks for Collective Classification. CoRR abs/1609.04508 (2016) - [i33]Kien Do, Truyen Tran, Svetha Venkatesh:
Multilevel Anomaly Detection for Mixed Data. CoRR abs/1610.06249 (2016) - [i32]Dang Nguyen, Wei Luo, Dinh Q. Phung, Svetha Venkatesh:
Control Matching via Discharge Code Sequences. CoRR abs/1612.01812 (2016) - 2015
- [j102]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Tree-based iterated local search for Markov random fields with applications in image analysis. J. Heuristics 21(1): 25-45 (2015) - [j101]Iman Kamkar, Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh:
Stable feature selection for clinical prediction: Exploiting ICD tree structure using Tree-Lasso. J. Biomed. Informatics 53: 277-290 (2015) - [j100]Truyen Tran, Tu Dinh Nguyen, Dinh Q. Phung, Svetha Venkatesh:
Learning vector representation of medical objects via EMR-driven nonnegative restricted Boltzmann machines (eNRBM). J. Biomed. Informatics 54: 96-105 (2015) - [j99]Truyen Tran, Dinh Q. Phung, Wei Luo, Svetha Venkatesh:
Stabilized sparse ordinal regression for medical risk stratification. Knowl. Inf. Syst. 43(3): 555-582 (2015) - [j98]Xin Zhang, Duc-Son Pham, Svetha Venkatesh, Wanquan Liu, Dinh Q. Phung:
Mixed-norm sparse representation for multi view face recognition. Pattern Recognit. 48(9): 2935-2946 (2015) - [j97]Ognjen Arandjelovic, Duc-Son Pham, Svetha Venkatesh:
Efficient and accurate set-based registration of time-separated aerial images. Pattern Recognit. 48(11): 3466-3476 (2015) - [j96]Santu Rana, Sunil Gupta, Dinh Q. Phung, Svetha Venkatesh:
A predictive framework for modeling healthcare data with evolving clinical interventions. Stat. Anal. Data Min. 8(3): 162-182 (2015) - [j95]Adham Beykikhoshk, Ognjen Arandjelovic, Dinh Q. Phung, Svetha Venkatesh, Terry Caelli:
Using Twitter to learn about the autism community. Soc. Netw. Anal. Min. 5(1): 22:1-22:17 (2015) - [j94]Thin Nguyen, Thi V. Duong, Svetha Venkatesh, Dinh Q. Phung:
Autism Blogs: Expressed Emotion, Language Styles and Concerns in Personal and Community Settings. IEEE Trans. Affect. Comput. 6(3): 312-323 (2015) - [j93]Ognjen Arandjelovic, Duc-Son Pham, Svetha Venkatesh:
Two Maximum Entropy-Based Algorithms for Running Quantile Estimation in Nonstationary Data Streams. IEEE Trans. Circuits Syst. Video Technol. 25(9): 1469-1479 (2015) - [j92]Duc-Son Pham, Ognjen Arandjelovic, Svetha Venkatesh:
Detection of Dynamic Background Due to Swaying Movements From Motion Features. IEEE Trans. Image Process. 24(1): 332-344 (2015) - [j91]Shivapratap Gopakumar, Truyen Tran, Tu Dinh Nguyen, Dinh Q. Phung, Svetha Venkatesh:
Stabilizing High-Dimensional Prediction Models Using Feature Graphs. IEEE J. Biomed. Health Informatics 19(3): 1044-1052 (2015) - [c255]Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Tensor-Variate Restricted Boltzmann Machines. AAAI 2015: 2887-2893 - [c254]Viet Huynh, Dinh Q. Phung, Svetha Venkatesh:
Streaming Variational Inference for Dirichlet Process Mixtures. ACML 2015: 237-252 - [c253]Adham Beykikhoshk, Ognjen Arandjelovic, Dinh Q. Phung, Svetha Venkatesh:
Overcoming Data Scarcity of Twitter: Using Tweets as Bootstrap with Application to Autism-Related Topic Content Analysis. ASONAM 2015: 1354-1361 - [c252]Iman Kamkar, Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh:
Stable Feature Selection with Support Vector Machines. Australasian Conference on Artificial Intelligence 2015: 298-308 - [c251]Dang Nguyen, Wei Luo, Dinh Q. Phung, Svetha Venkatesh:
Understanding Toxicities and Complications of Cancer Treatment: A Data Mining Approach. Australasian Conference on Artificial Intelligence 2015: 431-443 - [c250]Xin Zhang, Dinh Q. Phung, Svetha Venkatesh, Duc-Son Pham, Wanquan Liu:
Multi-View Subspace Clustering for Face Images. DICTA 2015: 1-7 - [c249]Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung:
Nonparametric discovery of online mental health-related communities. DSAA 2015: 1-10 - [c248]Iman Kamkar, Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh:
Exploiting feature relationships towards stable feature selection. DSAA 2015: 1-10 - [c247]Budhaditya Saha, Sunil Gupta, Svetha Venkatesh:
Improved risk predictions via sparse imputation of patient conditions in electronic medical records. DSAA 2015: 1-10 - [c246]Santu Rana, Sunil Kumar Gupta, Svetha Venkatesh:
Differentially Private Random Forest with High Utility. ICDM 2015: 955-960 - [c245]Ognjen Arandjelovic, Duc-Son Pham, Svetha Venkatesh:
Groupwise Registration of Aerial Images. IJCAI 2015: 2133-2139 - [c244]Ognjen Arandjelovic, Duc-Son Pham, Svetha Venkatesh:
The adaptable buffer algorithm for high quantile estimation in non-stationary data streams. IJCNN 2015: 1-7 - [c243]Cheng Li, Santu Rana, Dinh Q. Phung, Svetha Venkatesh:
Small-Variance Asymptotics for Bayesian Nonparametric Models with Constraints. PAKDD (2) 2015: 92-105 - [c242]Trung Le, Dinh Q. Phung, Khanh Nguyen, Svetha Venkatesh:
Fast One-Class Support Vector Machine for Novelty Detection. PAKDD (2) 2015: 189-200 - [c241]Budhaditya Saha, Sunil Kumar Gupta, Svetha Venkatesh:
Prediciton of Emergency Events: A Multi-Task Multi-Label Learning Approach. PAKDD (1) 2015: 226-238 - [c240]Pratibha Vellanki, Dinh Q. Phung, Thi V. Duong, Svetha Venkatesh:
Learning Entry Profiles of Children with Autism from Multivariate Treatment Information Using Restricted Boltzmann Machines. PAKDD Workshops 2015: 245-257 - [c239]Sunil Kumar Gupta, Santu Rana, Dinh Q. Phung, Svetha Venkatesh:
Collaborating Differently on Different Topics: A Multi-Relational Approach to Multi-Task Learning. PAKDD (1) 2015: 303-316 - [c238]Vu Nguyen, Dinh Q. Phung, Svetha Venkatesh, Hung Hai Bui:
A Bayesian Nonparametric Approach to Multilevel Regression. PAKDD (1) 2015: 330-342 - [c237]Shivapratap Gopakumar, Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Stabilizing Sparse Cox Model Using Statistic and Semantic Structures in Electronic Medical Records. PAKDD (2) 2015: 331-343 - [c236]Viet Huynh, Dinh Q. Phung, XuanLong Nguyen, Svetha Venkatesh, Hung Hai Bui:
Learning Conditional Latent Structures from Multiple Data Sources. PAKDD (1) 2015: 343-354 - [c235]Adham Beykikhoshk, Ognjen Arandjelovic, Svetha Venkatesh, Dinh Q. Phung:
Hierarchical Dirichlet Process for Tracking Complex Topical Structure Evolution and Its Application to Autism Research Literature. PAKDD (1) 2015: 550-562 - [c234]Sunil Gupta, Santu Rana, Dinh Q. Phung, Svetha Venkatesh:
What shall I share and with Whom? - A Multi-Task Learning Formulation using Multi-Faceted Task Relationships. SDM 2015: 703-711 - [c233]Xin Zhang, Duc-Son Pham, Dinh Q. Phung, Wanquan Liu, Budhaditya Saha, Svetha Venkatesh:
Visual Object Clustering via Mixed-Norm Regularization. WACV 2015: 1030-1037 - [c232]Thin Nguyen, Bridianne O'Dea, Mark E. Larsen, Dinh Q. Phung, Svetha Venkatesh, Helen Christensen:
Differentiating Sub-groups of Online Depression-Related Communities Using Textual Cues. WISE (2) 2015: 216-224 - [i31]Adham Beykikhoshk, Ognjen Arandjelovic, Dinh Q. Phung, Svetha Venkatesh:
Hierarchical Dirichlet process for tracking complex topical structure evolution and its application to autism research literature. CoRR abs/1502.02233 (2015) - [i30]Ognjen Arandjelovic, Duc-Son Pham, Svetha Venkatesh:
Viewpoint distortion compensation in practical surveillance systems. CoRR abs/1504.05298 (2015) - [i29]Ognjen Arandjelovic, Duc-Son Pham, Svetha Venkatesh:
Groupwise registration of aerial images. CoRR abs/1504.05299 (2015) - [i28]Ognjen Arandjelovic, Duc-Son Pham, Svetha Venkatesh:
The adaptable buffer algorithm for high quantile estimation in non-stationary data streams. CoRR abs/1504.05302 (2015) - [i27]Adham Beykikhoshk, Ognjen Arandjelovic, Dinh Q. Phung, Svetha Venkatesh, Terry Caelli:
Using Twitter to learn about the autism community. CoRR abs/1506.00246 (2015) - [i26]Adham Beykikhoshk, Ognjen Arandjelovic, Dinh Q. Phung, Svetha Venkatesh:
Overcoming data scarcity of Twitter: using tweets as bootstrap with application to autism-related topic content analysis. CoRR abs/1507.02973 (2015) - [i25]Adham Beykikhoshk, Ognjen Arandjelovic, Dinh Q. Phung, Svetha Venkatesh:
Discovering topic structures of a temporally evolving document corpus. CoRR abs/1512.08008 (2015) - 2014
- [j90]Truyen Tran, Wei Luo, Dinh Q. Phung, Sunil Gupta, Santu Rana, Richard Kennedy, Ann Larkins, Svetha Venkatesh:
A framework for feature extraction from hospital medical data with applications in risk prediction. BMC Bioinform. 15: 6596 (2014) - [j89]Duc-Son Pham, Svetha Venkatesh, Mihai M. Lazarescu, Budhaditya Saha:
Anomaly detection in large-scale data stream networks. Data Min. Knowl. Discov. 28(1): 145-189 (2014) - [j88]Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh:
Mood sensing from social media texts and its applications. Knowl. Inf. Syst. 39(3): 667-702 (2014) - [j87]Brett Adams, Dinh Q. Phung, Svetha Venkatesh:
Social reader: towards browsing the social web. Multim. Tools Appl. 69(3): 951-990 (2014) - [j86]Thin Nguyen, Dinh Q. Phung, Bo Dao, Svetha Venkatesh, Michael Berk:
Affective and Content Analysis of Online Depression Communities. IEEE Trans. Affect. Comput. 5(3): 217-226 (2014) - [c231]Adham Beykikhoshk, Ognjen Arandjelovic, Dinh Q. Phung, Svetha Venkatesh, Terry Caelli:
Data-mining twitter and the autism spectrum disorder: A Pilot study. ASONAM 2014: 349-356 - [c230]Bo Dao, Thin Nguyen, Svetha Venkatesh, Dinh Q. Phung:
Analysis of circadian rhythms from online communities of individuals with affective disorders. DSAA 2014: 463-469 - [c229]Nguyen Thanh Binh, Wei Luo, Terry Caelli, Svetha Venkatesh, Dinh Q. Phung:
Individualized arrhythmia detection with ECG signals from wearable devices. DSAA 2014: 570-576 - [c228]Tien-Vu Nguyen, Dinh Quoc Phung, XuanLong Nguyen, Svetha Venkatesh, Hung Bui:
Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts. ICML 2014: 288-296 - [c227]Ognjen Arandjelovic, Duc-Son Pham, Svetha Venkatesh:
Stream Quantiles via Maximal Entropy Histograms. ICONIP (2) 2014: 327-334 - [c226]Cheng Li, Santu Rana, Dinh Q. Phung, Svetha Venkatesh:
Regularizing Topic Discovery in EMRs with Side Information by Using Hierarchical Bayesian Models. ICPR 2014: 1307-1312 - [c225]Pratibha Vellanki, Thi V. Duong, Svetha Venkatesh, Dinh Q. Phung:
Nonparametric Discovery of Learning Patterns and Autism Subgroups from Therapeutic Data. ICPR 2014: 1828-1833 - [c224]Nguyen Cong Thuong, Sunil Gupta, Svetha Venkatesh, Dinh Q. Phung:
A Bayesian Nonparametric Framework for Activity Recognition Using Accelerometer Data. ICPR 2014: 2017-2022 - [c223]Nguyen Thanh Binh, Nguyen Cong Thuong, Wei Luo, Svetha Venkatesh, Dinh Q. Phung:
Unsupervised inference of significant locations from WiFi data for understanding human dynamics. MUM 2014: 232-235 - [c222]Santu Rana, Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh:
Intervention-Driven Predictive Framework for Modeling Healthcare Data. PAKDD (1) 2014: 497-508 - [c221]Nguyen Cong Thuong, Sunil Gupta, Svetha Venkatesh, Dinh Q. Phung:
Fixed-lag particle filter for continuous context discovery using Indian Buffet Process. PerCom 2014: 20-28 - [c220]Sunil Kumar Gupta, Santu Rana, Dinh Q. Phung, Svetha Venkatesh:
Keeping up with Innovation: A Predictive Framework for Modeling Healthcare Data with Evolving Clinical Interventions. SDM 2014: 235-243 - [c219]Thin Nguyen, Dinh Q. Phung, Wei Luo, Truyen Tran, Svetha Venkatesh:
iPoll: Automatic Polling Using Online Search. WISE (1) 2014: 266-275 - [c218]Bo Dao, Thin Nguyen, Dinh Q. Phung, Svetha Venkatesh:
Effect of Mood, Social Connectivity and Age in Online Depression Community via Topic and Linguistic Analysis. WISE (1) 2014: 398-407 - [c217]Thin Nguyen, Thi V. Duong, Dinh Q. Phung, Svetha Venkatesh:
Affective, Linguistic and Topic Patterns in Online Autism Communities. WISE (2) 2014: 474-488 - [i24]Vu Nguyen, Dinh Q. Phung, XuanLong Nguyen, Svetha Venkatesh, Hung Hai Bui:
Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts. CoRR abs/1401.1974 (2014) - [i23]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Tree-based iterated local search for Markov random fields with applications in image analysis. CoRR abs/1407.5754 (2014) - [i22]Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh:
Preference Networks: Probabilistic Models for Recommendation Systems. CoRR abs/1407.5764 (2014) - [i21]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Learning Rank Functionals: An Empirical Study. CoRR abs/1407.6089 (2014) - [i20]Shivapratap Gopakumar, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Stabilizing Sparse Cox Model using Clinical Structures in Electronic Medical Records. CoRR abs/1407.6094 (2014) - [i19]Truyen Tran, Svetha Venkatesh:
Permutation Models for Collaborative Ranking. CoRR abs/1407.6128 (2014) - [i18]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Learning Structured Outputs from Partial Labels using Forest Ensemble. CoRR abs/1407.6432 (2014) - [i17]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Learning From Ordered Sets and Applications in Collaborative Ranking. CoRR abs/1408.0043 (2014) - [i16]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Cumulative Restricted Boltzmann Machines for Ordinal Matrix Data Analysis. CoRR abs/1408.0047 (2014) - [i15]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Thurstonian Boltzmann Machines: Learning from Multiple Inequalities. CoRR abs/1408.0055 (2014) - [i14]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Mixed-Variate Restricted Boltzmann Machines. CoRR abs/1408.1160 (2014) - [i13]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh, Hung Hai Bui:
MCMC for Hierarchical Semi-Markov Conditional Random Fields. CoRR abs/1408.1162 (2014) - [i12]Tran The Truyen, Hung Bui, Svetha Venkatesh:
Boosted Markov Networks for Activity Recognition. CoRR abs/1408.1167 (2014) - [i11]Tran The Truyen, Hung Bui, Svetha Venkatesh:
Human Activity Learning and Segmentation using Partially Hidden Discriminative Models. CoRR abs/1408.3081 (2014) - [i10]Ognjen Arandjelovic, Duc-Son Pham, Svetha Venkatesh:
Stream quantiles via maximal entropy histograms. CoRR abs/1409.7289 (2014) - [i9]Ognjen Arandjelovic, Duc-Son Pham, Svetha Venkatesh:
Two maximum entropy based algorithms for running quantile estimation in non-stationary data streams. CoRR abs/1411.2250 (2014) - 2013
- [j85]Imran Naseem, Duc-Son Pham, Svetha Venkatesh:
A novel information theoretic approach to wavelet feature selection for texture classification. Comput. Electr. Eng. 39(2): 319-325 (2013) - [j84]Sunil Kumar Gupta, Dinh Q. Phung, Brett Adams, Svetha Venkatesh:
Regularized nonnegative shared subspace learning. Data Min. Knowl. Discov. 26(1): 57-97 (2013) - [j83]Duc-Son Pham, Budhaditya Saha, Dinh Q. Phung, Svetha Venkatesh:
Detection of cross-channel anomalies. Knowl. Inf. Syst. 35(1): 33-59 (2013) - [j82]Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh:
Event extraction using behaviors of sentiment signals and burst structure in social media. Knowl. Inf. Syst. 37(2): 279-304 (2013) - [j81]Siow Yong Low, Duc-Son Pham, Svetha Venkatesh:
Compressive speech enhancement. Speech Commun. 55(6): 757-768 (2013) - [j80]Duc-Son Pham, Svetha Venkatesh:
Efficient Algorithms for Robust Recovery of Images From Compressed Data. IEEE Trans. Image Process. 22(12): 4724-4737 (2013) - [j79]Dinh Q. Phung, Sunil Kumar Gupta, Thin Nguyen, Svetha Venkatesh:
Connectivity, Online Social Capital, and Mood: A Bayesian Nonparametric Analysis. IEEE Trans. Multim. 15(6): 1316-1325 (2013) - [c216]Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Learning Parts-based Representations with Nonnegative Restricted Boltzmann Machine. ACML 2013: 133-148 - [c215]Svetha Venkatesh, Dinh Q. Phung, Thi V. Duong, Stewart Greenhill, Brett Adams:
TOBY: early intervention in autism through technology. CHI 2013: 3187-3196 - [c214]Cheng Li, Dinh Q. Phung, Santu Rana, Svetha Venkatesh:
Exploiting side information in distance dependent Chinese restaurant processes for data clustering. ICME 2013: 1-6 - [c213]Thin Nguyen, Dinh Q. Phung, Svetha Venkatesh:
Analysis of psycholinguistic processes and topics in online autism communities. ICME 2013: 1-6 - [c212]Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Learning sparse latent representation and distance metric for image retrieval. ICME 2013: 1-6 - [c211]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Thurstonian Boltzmann Machines: Learning from Multiple Inequalities. ICML (2) 2013: 46-54 - [c210]Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh:
Factorial Multi-Task Learning : A Bayesian Nonparametric Approach. ICML (3) 2013: 657-665 - [c209]Tien-Vu Nguyen, Dinh Q. Phung, Svetha Venkatesh:
Topic Model Kernel: An Empirical Study towards Probabilistically Reduced Features for Classification. ICONIP (2) 2013: 124-131 - [c208]Thin Nguyen, Bo Dao, Dinh Quoc Phung, Svetha Venkatesh, Michael Berk:
Online Social Capital: Mood, Topical and Psycholinguistic Analysis. ICWSM 2013 - [c207]Tien-Vu Nguyen, Dinh Q. Phung, Sunil Gupta, Svetha Venkatesh:
Interactive browsing system for anomaly video surveillance. ISSNIP 2013: 384-389 - [c206]Truyen Tran, Dinh Q. Phung, Wei Luo, Richard Harvey, Michael Berk, Svetha Venkatesh:
An integrated framework for suicide risk prediction. KDD 2013: 1410-1418 - [c205]Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Latent Patient Profile Modelling and Applications with Mixed-Variate Restricted Boltzmann Machine. PAKDD (1) 2013: 123-135 - [c204]Budhaditya Saha, Duc-Son Pham, Dinh Q. Phung, Svetha Venkatesh:
Clustering Patient Medical Records via Sparse Subspace Representation. PAKDD (2) 2013: 123-134 - [c203]Santu Rana, Dinh Q. Phung, Svetha Venkatesh:
Split-Merge Augmented Gibbs Sampling for Hierarchical Dirichlet Processes. PAKDD (2) 2013: 546-557 - [c202]Nguyen Cong Thuong, Dinh Q. Phung, Sunil Gupta, Svetha Venkatesh:
Extraction of latent patterns and contexts from social honest signals using hierarchical Dirichlet processes. PerCom 2013: 47-55 - [c201]Duc-Son Pham, Dinh Q. Phung, Budhaditya Saha, Svetha Venkatesh:
Sparse Subspace Clustering via Group Sparse Coding. SDM 2013: 130-138 - 2012
- [j78]Xiang Xu, Wanquan Liu, Svetha Venkatesh:
An innovative face image enhancement based on principle component analysis. Int. J. Mach. Learn. Cybern. 3(4): 259-267 (2012) - [j77]Svetha Venkatesh, Stewart Greenhill, Dinh Q. Phung, Brett Adams, Thi V. Duong:
Pervasive multimedia for autism intervention. Pervasive Mob. Comput. 8(6): 863-882 (2012) - [j76]Siow Yong Low, Svetha Venkatesh, Sven Nordholm:
A Spectral Slit Approach to Doubletalk Detection. IEEE Trans. Speech Audio Process. 20(3): 1074-1080 (2012) - [j75]Duc-Son Pham, Svetha Venkatesh:
Improved Image Recovery From Compressed Data Contaminated With Impulsive Noise. IEEE Trans. Image Process. 21(1): 397-405 (2012) - [c200]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
A Sequential Decision Approach to Ordinal Preferences in Recommender Systems. AAAI 2012: 676-682 - [c199]Duc-Son Pham, Budhaditya Saha, Dinh Q. Phung, Svetha Venkatesh:
Improved subspace clustering via exploitation of spatial constraints. CVPR 2012: 550-557 - [c198]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Embedded Restricted Boltzmann Machines for fusion of mixed data types and applications in social measurements analysis. FUSION 2012: 1814-1821 - [c197]Budhaditya Saha, Dinh Q. Phung, Duc-Son Pham, Svetha Venkatesh:
Sparse Subspace Representation for Spectral Document Clustering. ICDM 2012: 1092-1097 - [c196]Brett Adams, Stewart Greenhill, Svetha Venkatesh:
Towards a Video Browser for the Digital Native. ICME Workshops 2012: 127-132 - [c195]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Learning Boltzmann Distance Metric for Face Recognition. ICME 2012: 218-223 - [c194]Tien-Vu Nguyen, Dinh Q. Phung, Santu Rana, Duc-Son Pham, Svetha Venkatesh:
Multi-modal abnormality detection in video with unknown data segmentation. ICPR 2012: 1322-1325 - [c193]Xin Zhang, Due-Son Pharn, Wanquan Liu, Svetha Venkatesh:
Optimal metric selection for improved multi-pose face recognition with group information. ICPR 2012: 1675-1678 - [c192]Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh:
A nonparametric Bayesian Poisson gamma model for count data. ICPR 2012: 1815-1818 - [c191]Santu Rana, Dinh Q. Phung, Sonny Pham, Svetha Venkatesh:
Large-scale statistical modeling of motion patterns: a Bayesian nonparametric approach. ICVGIP 2012: 7 - [c190]Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh:
A Sentiment-Aware Approach to Community Formation in Social Media. ICWSM 2012 - [c189]Brett Adams, Dinh Q. Phung, Svetha Venkatesh:
Funniest thing i've seen since [href=//flic.kr/p/KGEGB]: shifting perspectives from multimedia artefacts to utterances. SAM@MM 2012: 57-60 - [c188]Sunil Kumar Gupta, Dinh Quoc Phung, Svetha Venkatesh:
A Bayesian Nonparametric Joint Factor Model for Learning Shared and Individual Subspaces from Multiple Data Sources. SDM 2012: 200-211 - [c187]Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh:
A Slice Sampler for Restricted Hierarchical Beta Process with Applications to Shared Subspace Learning. UAI 2012: 316-325 - [c186]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Cumulative Restricted Boltzmann Machines for Ordinal Matrix Data Analysis. ACML 2012: 411-426 - [c185]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Learning From Ordered Sets and Applications in Collaborative Ranking. ACML 2012: 427-442 - [i8]Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh:
Ordinal Boltzmann Machines for Collaborative Filtering. CoRR abs/1205.2611 (2012) - [i7]Sunil Kumar Gupta, Dinh Q. Phung, Svetha Venkatesh:
A Slice Sampler for Restricted Hierarchical Beta Process with Applications to Shared Subspace Learning. CoRR abs/1210.4855 (2012) - [i6]Duc-Son Pham, Svetha Venkatesh:
Efficient algorithms for robust recovery of images from compressed data. CoRR abs/1211.7276 (2012) - 2011
- [j74]Senjian An, Wanquan Liu, Svetha Venkatesh, Hong Yan:
Unified formulation of linear discriminant analysis methods and optimal parameter selection. Pattern Recognit. 44(2): 307-319 (2011) - [c184]Duc-Son Pham, Svetha Venkatesh:
Supervised Subspace Learning with Multi-class Lagrangian SVM on the Grassmann Manifold. Australasian Conference on Artificial Intelligence 2011: 241-250 - [c183]Marziya Mohammedali, Dinh Q. Phung, Brett Adams, Svetha Venkatesh:
A context-sensitive device to help people with autism cope with anxiety. CHI Extended Abstracts 2011: 1201-1206 - [c182]Senjian An, Patrick Peursum, Wanquan Liu, Svetha Venkatesh:
Efficient subwindow search with submodular score functions. CVPR 2011: 1409-1416 - [c181]Duc-Son Pham, Budhaditya Saha, Dinh Q. Phung, Svetha Venkatesh:
Detection of Cross-Channel Anomalies from Multiple Data Channels. ICDM 2011: 527-536 - [c180]Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh:
Towards Discovery of Influence and Personality Traits through Social Link Prediction. ICWSM 2011 - [c179]Klara Nahrstedt, Svetha Venkatesh, Nalini Venkatasubramanian, Dulce B. Ponceleon, Maria Zemankova, Susanne Boll:
Networking of multimedia women event beyond epsilon science: where to look and how to realize new opportunities. ACM Multimedia 2011: 589-592 - [c178]Svetha Venkatesh, Stewart Greenhill, Dinh Q. Phung, Brett Adams:
Cognitive intervention in autism using multimedia stimulus. ACM Multimedia 2011: 769-770 - [c177]Brett Adams, Dinh Q. Phung, Svetha Venkatesh:
Eventscapes: visualizing events over time with emotive facets. ACM Multimedia 2011: 1477-1480 - [c176]Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh:
Emotional Reactions to Real-World Events in Social Networks. PAKDD Workshops 2011: 53-64 - [c175]Sunil Kumar Gupta, Dinh Q. Phung, Brett Adams, Svetha Venkatesh:
A Bayesian Framework for Learning Shared and Individual Subspaces from Multiple Data Sources. PAKDD (1) 2011: 136-147 - [c174]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Probabilistic Models over Ordered Partitions with Applications in Document Ranking and Collaborative Filtering. SDM 2011: 426-437 - [c173]Thin Nguyen, Dinh Q. Phung, Brett Adams, Svetha Venkatesh:
Prediction of Age, Sentiment, and Connectivity from Social Media Text. WISE 2011: 227-240 - [c172]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Mixed-Variate Restricted Boltzmann Machines. ACML 2011: 213-229 - [i5]Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West:
Policy Recognition in the Abstract Hidden Markov Model. CoRR abs/1106.0672 (2011) - 2010
- [j73]Patrick Peursum, Svetha Venkatesh, Geoff A. W. West:
A Study on Smoothing for Particle-Filtered 3D Human Body Tracking. Int. J. Comput. Vis. 87(1-2): 53-74 (2010) - [j72]Duc-Son Pham, Hung Hai Bui, Svetha Venkatesh:
Bayesian Minimax Estimation of the Normal Model With Incomplete Prior Covariance Matrix Specification. IEEE Trans. Inf. Theory 56(12): 6433-6449 (2010) - [j71]Brett Adams, Dinh Q. Phung, Svetha Venkatesh:
Discovery of latent subcommunities in a blog's readership. ACM Trans. Web 4(3): 12:1-12:30 (2010) - [c171]En Peng, Patrick Peursum, Ling Li, Svetha Venkatesh:
Portable form filling assistant for the visually impaired. BCS HCI 2010: 269-277 - [c170]Brent Lagesse, Mohan Kumar, Svetha Venkatesh, Mihai M. Lazarescu:
Augmenting trust establishment in dynamic systems with social networks. CSIIRW 2010: 72 - [c169]Senjian An, Patrick Peursum, Wanquan Liu, Svetha Venkatesh, Xiaoming Chen:
Exploiting Monge structures in optimum subwindow search. CVPR 2010: 926-933 - [c168]Wilson S. Leoputra, Tele Tan, Svetha Venkatesh:
A unified 2D-3D video scene change detection framework for mobile camera platforms. ICARCV 2010: 2147-2153 - [c167]Huining Qiu, Duc-Son Pham, Svetha Venkatesh, Wanquan Liu, Jian-Huang Lai:
A Fast Extension for Sparse Representation on Robust Face Recognition. ICPR 2010: 1023-1027 - [c166]Amal Saleh Ghanem, Svetha Venkatesh, Geoff A. W. West:
Multi-class Pattern Classification in Imbalanced Data. ICPR 2010: 2881-2884 - [c165]Stewart Greenhill, Brett Adams, Svetha Venkatesh:
Interactively browsing movies in terms of action, foreshadowing and resolution. JCDL 2010: 197-200 - [c164]Sunil Kumar Gupta, Dinh Q. Phung, Brett Adams, Truyen Tran, Svetha Venkatesh:
Nonnegative shared subspace learning and its application to social media retrieval. KDD 2010: 1169-1178 - [c163]Thin Nguyen, Dinh Q. Phung, Brett Adams, Truyen Tran, Svetha Venkatesh:
Hyper-community detection in the blogosphere. WSM@MM 2010: 21-26 - [c162]Thin Nguyen, Dinh Q. Phung, Brett Adams, Truyen Tran, Svetha Venkatesh:
Classification and Pattern Discovery of Mood in Weblogs. PAKDD (2) 2010: 283-290 - [c161]En Peng, Patrick Peursum, Ling Li, Svetha Venkatesh:
A Smartphone-Based Obstacle Sensor for the Visually Impaired. UIC 2010: 590-604 - [i4]Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh:
Probabilistic Models over Ordered Partitions with Application in Learning to Rank. CoRR abs/1009.1690 (2010) - [i3]Tran The Truyen, Dinh Q. Phung, Hung Hai Bui, Svetha Venkatesh:
Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data. CoRR abs/1009.2009 (2010)
2000 – 2009
- 2009
- [j70]Thi V. Duong, Dinh Q. Phung, Hung Bui, Svetha Venkatesh:
Efficient duration and hierarchical modeling for human activity recognition. Artif. Intell. 173(7-8): 830-856 (2009) - [j69]Simon Moncrieff, Svetha Venkatesh, Geoff A. W. West:
Dynamic Privacy in Public Surveillance. Computer 42(9): 22-28 (2009) - [j68]Dinh Q. Phung, Brett Adams, Svetha Venkatesh, Mohan Kumar:
Unsupervised context detection using wireless signals. Pervasive Mob. Comput. 5(6): 714-733 (2009) - [j67]Santu Rana, Wanquan Liu, Mihai M. Lazarescu, Svetha Venkatesh:
A unified tensor framework for face recognition. Pattern Recognit. 42(11): 2850-2862 (2009) - [c160]Amal Saleh Ghanem, Svetha Venkatesh, Geoff A. W. West:
Classifying Multiple Imbalanced Attributes in Relational Data. Australasian Conference on Artificial Intelligence 2009: 220-229 - [c159]Thorsten Kühnapfel, Tele Tan, Svetha Venkatesh, Burkhard Igel:
Distributed Audio Network for Speech Enhancement in Challenging Noise Backgrounds. AVSS 2009: 308-313 - [c158]Senjian An, Patrick Peursum, Wanquan Liu, Svetha Venkatesh:
Efficient algorithms for subwindow search in object detection and localization. CVPR 2009: 264-271 - [c157]Wilson S. Leoputra, Svetha Venkatesh, Tele Tan:
Comparative evaluation of pedestrian detection methods for mobile bus surveillance. ICASSP 2009: 3525-3528 - [c156]Budhaditya Saha, Duc-Son Pham, Mihai M. Lazarescu, Svetha Venkatesh:
Effective Anomaly Detection in Sensor Networks Data Streams. ICDM 2009: 722-727 - [c155]Simon Moncrieff, Svetha Venkatesh, Geoff A. W. West:
A Framework for the design of privacy preserving pervasive healthcare. ICME 2009: 1696-1699 - [c154]Annika Kuhl, Tele Tan, Svetha Venkatesh:
Automatic Fitting of a Deformable Face Mask Using a Single Image. MIRAGE 2009: 69-81 - [c153]Brett Adams, Dinh Q. Phung, Svetha Venkatesh:
Social reader: following social networks in the wilds of the blogosphere. WSM@MM 2009: 73-80 - [c152]Radu Andrei Negoescu, Brett Adams, Dinh Q. Phung, Svetha Venkatesh, Daniel Gatica-Perez:
Flickr hypergroups. ACM Multimedia 2009: 813-816 - [c151]Dinh Q. Phung, Brett Adams, Kha Tran, Svetha Venkatesh, Mohan Kumar:
High Accuracy Context Recovery using Clustering Mechanisms. PerCom 2009: 1-9 - [c150]Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh:
Ordinal Boltzmann Machines for Collaborative Filtering. UAI 2009: 548-556 - 2008
- [j66]Ming Hsiao Ko, Geoff A. W. West, Svetha Venkatesh, Mohan Kumar:
Using dynamic time warping for online temporal fusion in multisensor systems. Inf. Fusion 9(3): 370-388 (2008) - [j65]Svetha Venkatesh, Brett Adams, Dinh Q. Phung, Chitra Dorai, Robert G. Farrell, Lalitha Agnihotri, Nevenka Dimitrova:
"You Tube and I Find" - Personalizing Multimedia Content Access. Proc. IEEE 96(4): 697-711 (2008) - [j64]Daniel E. Riedel, Svetha Venkatesh, Wanquan Liu:
Recognising online spatial activities using a bioinformatics inspired sequence alignment approach. Pattern Recognit. 41(11): 3481-3492 (2008) - [j63]Simon Moncrieff, Svetha Venkatesh, Geoff A. W. West:
Dynamic privacy assessment in a smart house environment using multimodal sensing. ACM Trans. Multim. Comput. Commun. Appl. 5(2): 10:1-10:29 (2008) - [j62]Brett Adams, Dinh Q. Phung, Svetha Venkatesh:
Sensing and using social context. ACM Trans. Multim. Comput. Commun. Appl. 5(2): 11:1-11:27 (2008) - [c149]Hung Hai Bui, Dinh Q. Phung, Svetha Venkatesh, Hai Phan:
The Hidden Permutation Model and Location-Based Activity Recognition. AAAI 2008: 1345-1350 - [c148]Kha Tran, Dinh Q. Phung, Brett Adams, Svetha Venkatesh:
Indoor Location Prediction Using Multiple Wireless Received Signal Strengths. AusDM 2008: 187-192 - [c147]Senjian An, Wanquan Liu, Svetha Venkatesh:
Exploiting side information in locality preserving projection. CVPR 2008 - [c146]Duc-Son Pham, Svetha Venkatesh:
Robust learning of discriminative projection for multicategory classification on the Stiefel manifold. CVPR 2008 - [c145]Duc-Son Pham, Svetha Venkatesh:
Joint learning and dictionary construction for pattern recognition. CVPR 2008 - [c144]Santu Rana, Wanquan Liu, Mihai M. Lazarescu, Svetha Venkatesh:
Recognising faces in unseen modes: A tensor based approach. CVPR 2008 - [c143]Wilson S. Leoputra, Svetha Venkatesh, Tele Tan:
Passenger monitoring in moving bus video. ICARCV 2008: 719-725 - [c142]Wilson S. Leoputra, Svetha Venkatesh, Tele Tan:
Pedestrian detection for mobile bus surveillance. ICARCV 2008: 726-732 - [c141]Annika Kuhl, Tele Tan, Svetha Venkatesh:
Model-based character recognition in low resolution. ICIP 2008: 1001-1004 - [c140]Amal Saleh Ghanem, Svetha Venkatesh, Geoff A. W. West:
Learning in imbalanced relational data. ICPR 2008: 1-4 - [c139]Annika Kuhl, Tele Tan, Svetha Venkatesh:
Model-based combined tracking and resolution enhancement. ICPR 2008: 1-4 - [c138]Thorsten Kühnapfel, Tele Tan, Svetha Venkatesh, Sven E. Nordholm, Burkhard Igel:
Adaptive speech enhancement with varying noise backgrounds. ICPR 2008: 1-4 - [c137]Simon Moncrieff, Svetha Venkatesh, Geoff A. W. West:
Context aware privacy in visual surveillance. ICPR 2008: 1-4 - [c136]Nam Thanh Nguyen, Wanquan Liu, Svetha Venkatesh:
Ridge Regression for Two Dimensional Locality Preserving Projection. ICPR 2008: 1-4 - [c135]Nam Nguyen, Wanquan Liu, Svetha Venkatesh:
Boosting performance for 2D Linear Discriminant Analysis via regression. ICPR 2008: 1-4 - [c134]Santu Rana, Wanquan Liu, Mihai M. Lazarescu, Svetha Venkatesh:
Efficient tensor based face recognition. ICPR 2008: 1-4 - [c133]Brett Adams, Stewart Greenhill, Svetha Venkatesh:
Temporal semantic compression for video browsing. IUI 2008: 293-296 - [c132]Stewart Greenhill, Svetha Venkatesh:
Contextual navigation in a multimedia journal. ACM Multimedia 2008: 833-836 - [c131]Tran The Truyen, Dinh Q. Phung, Hung Bui, Svetha Venkatesh:
Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data. NIPS 2008: 1657-1664 - [c130]Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh:
Constrained Sequence Classification for Lexical Disambiguation. PRICAI 2008: 430-441 - [c129]Tran The Truyen, Hung Hai Bui, Dinh Q. Phung, Svetha Venkatesh:
Learning Discriminative Sequence Models from Partially Labelled Data for Activity Recognition. PRICAI 2008: 903-912 - [c128]Dinh Q. Phung, Brett Adams, Svetha Venkatesh:
Computable social patterns from sparse sensor data. LocWeb 2008: 69-72 - [e2]Susanne Boll, Mohan S. Kankanhalli, Gopal Pingali, Svetha Venkatesh:
Contextual and Social Media Understanding and Usage, 15.06. - 20.06.2008. Dagstuhl Seminar Proceedings 08251, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany 2008 [contents] - [i2]Susanne Boll, Mohan S. Kankanhalli, Gopal Pingali, Svetha Venkatesh:
08251 Abstracts Collection - Contextual and Social Media Understanding and Usage. Contextual and Social Media Understanding and Usage 2008 - [i1]Susanne Boll, Mohan S. Kankanhalli, Gopal Pingali, Svetha Venkatesh:
08251 Summary - Contextual and Social Media Understanding and Usage. Contextual and Social Media Understanding and Usage 2008 - 2007
- [j61]Ronny Tjahyadi, Wanquan Liu, Senjian An, Svetha Venkatesh:
Face recognition based on ordinal correlation. Int. J. Intell. Syst. Technol. Appl. 3(3/4): 226-240 (2007) - [j60]Simon Moncrieff, Svetha Venkatesh:
Film audio pace. Int. J. Intell. Syst. Technol. Appl. 3(3/4): 296-308 (2007) - [j59]Simon Moncrieff, Svetha Venkatesh, Geoff A. W. West, Stewart Greenhill:
Multi-modal emotive computing in a smart house environment. Pervasive Mob. Comput. 3(2): 74-94 (2007) - [j58]Sebastian Lühr, Geoff A. W. West, Svetha Venkatesh:
Recognition of emergent human behaviour in a smart home: A data mining approach. Pervasive Mob. Comput. 3(2): 95-116 (2007) - [j57]Senjian An, Wanquan Liu, Svetha Venkatesh:
Fast cross-validation algorithms for least squares support vector machine and kernel ridge regression. Pattern Recognit. 40(8): 2154-2162 (2007) - [j56]Ba Tu Truong, Svetha Venkatesh:
Video abstraction: A systematic review and classification. ACM Trans. Multim. Comput. Commun. Appl. 3(1): 3 (2007) - [j55]Simon Moncrieff, Svetha Venkatesh, Geoff A. W. West:
Online audio background determination for complex audio environments. ACM Trans. Multim. Comput. Commun. Appl. 3(2): 8 (2007) - [c127]Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh:
Preference Networks: Probabilistic Models for Recommendation Systems. AusDM 2007: 195-202 - [c126]Senjian An, Wanquan Liu, Svetha Venkatesh:
Face Recognition Using Kernel Ridge Regression. CVPR 2007 - [c125]Patrick Peursum, Svetha Venkatesh, Geoff A. W. West:
Tracking-as-Recognition for Articulated Full-Body Human Motion Analysis. CVPR 2007 - [c124]Thorsten Kühnapfel, Tele Tan, Svetha Venkatesh, Eric A. Lehmann:
Calibration of Audio-Video Sensors for Multi-Modal Event Indexing. ICASSP (2) 2007: 741-744 - [c123]Budhaditya Saha, Mihai M. Lazarescu, Svetha Venkatesh:
Infrequent Item Mining in Multiple Data Streams. ICDM Workshops 2007: 569-574 - [c122]Simon Moncrieff, Svetha Venkatesh, Geoff A. W. West:
Dynamic Privacy in a Smart House Environment. ICME 2007: 2034-2037 - [c121]Ronny Tjahyadi, Wanquan Liu, Senjian An, Svetha Venkatesh:
Face Recognition via the Overlapping Energy Histogram. IJCAI 2007: 2891-2896 - [c120]Ba Tu Truong, Svetha Venkatesh:
Generating comprehensible summaries of rushes sequences based on robust feature matching. TVS 2007: 30-34 - [c119]Stewart Greenhill, Svetha Venkatesh:
Distributed query processing for mobile surveillance. ACM Multimedia 2007: 413-422 - [c118]Simon Moncrieff, Svetha Venkatesh, Geoff A. W. West:
Privacy and the access of information in a smart house environment. ACM Multimedia 2007: 671-680 - [c117]Ba Tu Truong, Svetha Venkatesh:
Utility-Based Summarization of Home Videos. MMM (1) 2007: 505-516 - [c116]Ba Tu Truong, Svetha Venkatesh:
Linking Identities and Viewpoints in Home Movies Based on Robust Feature Matching. MMM (1) 2007: 636-648 - [c115]Senjian An, Wanquan Liu, Svetha Venkatesh:
Acquiring Critical Light Points for Illumination Subspaces of Face Images by Affinity Propagation Clustering. PCM 2007: 647-654 - [c114]Nam Nguyen, Wanquan Liu, Svetha Venkatesh:
Random Subspace Two-Dimensional PCA for Face Recognition. PCM 2007: 655-664 - 2006
- [j54]Daniel E. Riedel, Svetha Venkatesh, Wanquan Liu:
A chemotactic-based model for spatial activity recognition. Int. J. Syst. Sci. 37(13): 949-959 (2006) - [j53]Senjian An, Wanquan Liu, Svetha Venkatesh, Ronny Tjahyadi:
A Fast Feature-based Dimension Reduction Algorithm for Kernel Classifiers. Neural Process. Lett. 24(2): 137-151 (2006) - [c113]Daniel E. Riedel, Svetha Venkatesh, Wanquan Liu:
A Smith-Waterman Local Alignment Approach for Spatial Activity Recognition. AVSS 2006: 54 - [c112]Nam Thanh Nguyen, Svetha Venkatesh, Hung Bui:
Recognising Behaviours of Multiple People with Hierarchical Probabilistic Model and Statistical Data Association. BMVC 2006: 1239-1248 - [c111]Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh, Hung Hai Bui:
AdaBoost.MRF: Boosted Markov Random Forests and Application to Multilevel Activity Recognition. CVPR (2) 2006: 1686-1693 - [c110]Brett Adams, Svetha Venkatesh:
An Embedded Suggestive Interface for Making Home Videos. ICME 2006: 2025-2028 - [c109]Thi V. Duong, Dinh Q. Phung, Hung Hai Bui, Svetha Venkatesh:
Human Behavior Recognition with Generic Exponential Family Duration Modeling in the Hidden Semi-Markov Model. ICPR (3) 2006: 202-207 - [c108]Senjian An, Wanquan Liu, Svetha Venkatesh:
Efficient Cross-validation of the Complete Two Stages in KFD Classifier Formulation. ICPR (3) 2006: 240-244 - [c107]Simon Moncrieff, Svetha Venkatesh, Geoff A. W. West:
Unifying Background Models over Complex Audio using Entropy. ICPR (4) 2006: 249-253 - [c106]Patrick Peursum, Svetha Venkatesh, Geoff A. W. West:
Observation-Switching Linear Dynamic Systems for Tracking Humans Through Unexpected Partial Occlusions by Scene Objects. ICPR (4) 2006: 929-934 - [c105]Stewart Greenhill, Svetha Venkatesh:
Virtual observers in a mobile surveillance system. ACM Multimedia 2006: 579-588 - [c104]Brett Adams, Stewart Greenhill, Svetha Venkatesh:
Browsing personal media archives with spatial context using panoramas. ACM Multimedia 2006: 711-714 - [c103]Brett Adams, Dinh Q. Phung, Svetha Venkatesh:
Extraction of social context and application to personal multimedia exploration. ACM Multimedia 2006: 987-996 - [c102]Simon Moncrieff, Svetha Venkatesh:
Narrative structure detection through audio pace. MMM 2006 - [c101]Ba Tu Truong, Svetha Venkatesh:
Curtin at TRECVID 2006 Rushes Summarization. TRECVID 2006 - 2005
- [j52]Patrick Peursum, Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West:
Robust Recognition and Segmentation of Human Actions Using HMMs with Missing Observations. EURASIP J. Adv. Signal Process. 2005(13): 2110-2126 (2005) - [j51]Ba Tu Truong, Svetha Venkatesh, Chitra Dorai:
Extraction of Film Takes for Cinematic Analysis. Multim. Tools Appl. 26(3): 277-298 (2005) - [j50]Brett Adams, Svetha Venkatesh, Hung Hai Bui, Chitra Dorai:
A Probabilistic Framework for Extracting Narrative Act Boundaries and Semantics in Motion Pictures. Multim. Tools Appl. 27(2): 195-213 (2005) - [j49]Brett Adams, Svetha Venkatesh, Ramesh C. Jain:
IMCE: Integrated media creation environment. ACM Trans. Multim. Comput. Commun. Appl. 1(3): 211-247 (2005) - [c100]Nam Nguyen, Svetha Venkatesh:
Discovery of Activity Structures using the Hierarchical Hidden Markov Model. BMVC 2005 - [c99]Geoff A. W. West, Stewart Greenhill, Svetha Venkatesh:
A Probabilistic Approach to the Anxious Home for Activity Monitoring. COMPSAC (1) 2005: 335-340 - [c98]Thi V. Duong, Hung Hai Bui, Dinh Q. Phung, Svetha Venkatesh:
Activity Recognition and Abnormality Detection with the Switching Hidden Semi-Markov Model. CVPR (1) 2005: 838-845 - [c97]Nam Thanh Nguyen, Dinh Q. Phung, Svetha Venkatesh, Hung Bui:
Learning and Detecting Activities from Movement Trajectories Using the Hierarchical Hidden Markov Models. CVPR (2) 2005: 955-960 - [c96]Patrick Peursum, Geoff A. W. West, Svetha Venkatesh:
Combining Image Regions and Human Activity for Indirect Object Recognition in Indoor Wide-Angle Views. ICCV 2005: 82-89 - [c95]Brett Adams, Svetha Venkatesh:
Injection, detection and repair of aesthetics in home movies. ICME 2005: 33-36 - [c94]Simon Moncrieff, Svetha Venkatesh, Geoff A. W. West:
Persistent audio modelling for background determination. ICME 2005: 41-44 - [c93]Ba Tu Truong, Svetha Venkatesh:
Finding the Optimal Temporal Partitioning of Video Sequences. ICME 2005: 1182-1185 - [c92]Senjian An, Wanquan Liu, Svetha Venkatesh:
Fast cross-validation of kernel Fisher discriminant classifiers. ICMLA 2005 - [c91]Dinh Q. Phung, Thi V. Duong, Svetha Venkatesh, Hung Hai Bui:
Topic transition detection using hierarchical hidden Markov and semi-Markov models. ACM Multimedia 2005: 11-20 - [c90]Brett Adams, Svetha Venkatesh:
Dynamic shot suggestion filtering for home video based on user performance. ACM Multimedia 2005: 363-366 - [c89]Brett Adams, Svetha Venkatesh:
Situated event bootstrapping and capture guidance for automated home movie authoring. ACM Multimedia 2005: 754-763 - 2004
- [j48]Mihai M. Lazarescu, Svetha Venkatesh, Hung Hai Bui:
Using multiple windows to track concept drift. Intell. Data Anal. 8(1): 29-59 (2004) - [j47]Frank Nack, Brett Adams, Svetha Venkatesh:
Authoring Multimedia Authoring Tools. IEEE Multim. 11(3): 4-1 (2004) - [j46]Justin Lee, Svetha Venkatesh, Mohan Kumar:
Formation of a geometric pattern with a mobile wireless sensor network. J. Field Robotics 21(10): 517-530 (2004) - [j45]Patrick Peursum, Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui:
Using Interaction Signatures to Find and Label Chairs and Floors. IEEE Pervasive Comput. 3(4): 58-65 (2004) - [c88]Hung Hai Bui, Dinh Q. Phung, Svetha Venkatesh:
Learning Hierarchical Hidden Markov Models with General State Hierarchy. AAAI 2004: 324-329 - [c87]Dinh Q. Phung, Svetha Venkatesh, Hung Hai Bui:
Automatically learning structural units in educational videos with the hierarchical hidden markov models. ICIP 2004: 1605-1608 - [c86]Brett Adams, Svetha Venkatesh, Ramesh C. Jain:
IMCE: integrated media creation environment. ICME 2004: 835-838 - [c85]Patrick Peursum, Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West:
Human Action Segmentation via Controlled Use of Missing Data in HMMs. ICPR (4) 2004: 440-445 - [c84]Brett Adams, Svetha Venkatesh:
Director in your pocket: holistic help for the hapless home videographer. ACM Multimedia 2004: 460-463 - [c83]Susanne Boll, Dick C. A. Bulterman, Ramesh C. Jain, Tat-Seng Chua, Rainer Lienhart, Lynn Wilcox, Marc Davis, Svetha Venkatesh:
Between context-aware media capture and multimedia content analysis: where do we find the promised land? ACM Multimedia 2004: 868 - [c82]Ba Tu Truong, Svetha Venkatesh, Chitra Dorai:
Discovering Semantics from Visualizations of Film Takes. MMM 2004: 109-116 - [c81]Graeme S. Chambers, Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui:
Segmentation of Intentional Human Gestures for Sports Video Annotation. MMM 2004: 124-129 - [c80]Brett Adams, Svetha Venkatesh:
Taming the roving camera: A framework for creating professional home movies through narrative and cinesthetic elements. MMM 2004: 367 - [c79]Lukman Sasmita, Wanquan Liu, Svetha Venkatesh:
An Immunological Approach to Raising Alarms in Video Surveillance. PCM (3) 2004: 79-86 - [c78]Stewart Greenhill, Svetha Venkatesh, Geoff A. W. West:
Adaptive Model for Foreground Extraction in Adverse Lighting Conditions. PRICAI 2004: 805-811 - [c77]Patrick Peursum, Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West:
Classifying Human Actions Using an Incomplete Real-Time Pose Skeleton. PRICAI 2004: 971-972 - [c76]Sebastian Lühr, Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui:
Explicit State Duration HMM for Abnormality Detection in Sequences of Human Activity. PRICAI 2004: 983-984 - [c75]Nam Thanh Nguyen, Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui:
Learning People Movement Model from Multiple Cameras for Behaviour Recognition. SSPR/SPR 2004: 315-324 - [c74]Graeme S. Chambers, Svetha Venkatesh, Geoff A. W. West:
Automatic Labeling of Sports Video Using Umpire Gesture Recognition. SSPR/SPR 2004: 859-867 - [c73]Dinh Q. Phung, Hung Hai Bui, Svetha Venkatesh:
Content Structure Discovery in Educational Videos Using Shared Structures in the Hierarchical Hidden Markov Models. SSPR/SPR 2004: 1155-1163 - 2003
- [j44]Chitra Dorai, Svetha Venkatesh:
Guest Editors' Introduction: Bridging the Semantic Gap with Computational Media Aesthetics. IEEE Multim. 10(2): 15-17 (2003) - [j43]Masahiro Takatsuka, Geoff A. W. West, Svetha Venkatesh, Terry M. Caelli:
Low-cost interactive active range finder. Mach. Vis. Appl. 14(3): 139-144 (2003) - [j42]Ba Tu Truong, Svetha Venkatesh, Chitra Dorai:
Scene extraction in motion pictures. IEEE Trans. Circuits Syst. Video Technol. 13(1): 5-15 (2003) - [j41]Nor Jaidi Tuah, Mohan Kumar, Svetha Venkatesh:
Resource-aware Speculative Prefetching in Wireless Networks. Wirel. Networks 9(1): 61-72 (2003) - [c72]Nam Thanh Nguyen, Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West:
Recognising and Monitoring High-Level Behaviours in Complex Spatial Environments. CVPR (2) 2003: 620-625 - [c71]Mihai M. Lazarescu, Svetha Venkatesh:
Using camera motion to identify types of American football plays. ICME 2003: 181-184 - [c70]Simon Moncrieff, Svetha Venkatesh, Chitra Dorai:
Horror film genre typing and scene labeling via audio analysis. ICME 2003: 193-196 - [c69]Ba Tu Truong, Svetha Venkatesh, Chitra Dorai:
Identifying film takes for cinematic analysis. ICME 2003: 405-408 - [c68]Dinh Quoc Phung, Svetha Venkatesh, Chitra Dorai:
On the extraction of thematic and dramatic functions of content in educational videos. ICME 2003: 449-452 - [c67]Brett Adams, Chitra Dorai, Svetha Venkatesh, Hung Hai Bui:
Indexing narrative structure and semantics in motion pictures with a probabilistic framework. ICME 2003: 453-456 - [c66]Brett Adams, Svetha Venkatesh:
Weaving stories in digital media: when Spielberg makes home movies. ACM Multimedia 2003: 207-210 - [c65]Dinh Q. Phung, Svetha Venkatesh, Chitra Dorai:
Hierarchical topical segmentation in instructional films based on cinematic expressive functions. ACM Multimedia 2003: 287-290 - [c64]Patrick Peursum, Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui:
Object Labelling from Human Action Recognition. PerCom 2003: 399-406 - [c63]Sebastian Lühr, Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West:
Recognition of Human Activity through Hierarchical Stochastic Learning. PerCom 2003: 416- - 2002
- [j40]Brett Adams, Chitra Dorai, Svetha Venkatesh:
Finding the Beat: An Analysis of the Rhythmic Elements of Motion Pictures. Int. J. Image Graph. 2(2): 215-245 (2002) - [j39]Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West:
Policy Recognition in the Abstract Hidden Markov Model. J. Artif. Intell. Res. 17: 451-499 (2002) - [j38]Masahiro Takatsuka, Terry Caelli, Geoff A. W. West, Svetha Venkatesh:
An application of "agent-oriented" techniques to symbolic matching and object recognition. Pattern Recognit. Lett. 23(4): 419-429 (2002) - [j37]Bill Adams, Chitra Dorai, Svetha Venkatesh:
Toward automatic extraction of expressive elements from motion pictures: tempo. IEEE Trans. Multim. 4(4): 472-481 (2002) - [j36]Nor Jaidi Tuah, Mohan Kumar, Svetha Venkatesh, Sajal K. Das:
Performance Optimization Problem in Speculative Prefetching. IEEE Trans. Parallel Distributed Syst. 13(5): 471-484 (2002) - [c62]Ba Tu Truong, Svetha Venkatesh, Chitra Dorai:
Film grammar based refinements to extracting scenes in motion pictures. ICME (1) 2002: 281-284 - [c61]Mihai M. Lazarescu, Svetha Venkatesh, Geoff A. W. West:
On the automatic indexing of cricket using camera motion parameters. ICME (1) 2002: 809-812 - [c60]Nam Thanh Nguyen, Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui:
Hierarchical Monitoring of People's Behaviors in Complex Environments Using Multiple Cameras. ICPR (1) 2002: 13-16 - [c59]Ba Tu Truong, Svetha Venkatesh, Chitra Dorai:
Neighborhood Coherence and Edge Based Approaches to Film Scene Extraction. ICPR (2) 2002: 350-353 - [c58]Dinh Quoc Phung, Chitra Dorai, Svetha Venkatesh:
Narrative Structure Analysis with Education and Training Videos for E-Learning. ICPR (2) 2002: 835- - [c57]Ezra Tassone, Geoff A. W. West, Svetha Venkatesh:
Temporal PDMs for Gait Classification. ICPR (2) 2002: 1065-1068 - [c56]Graeme S. Chambers, Svetha Venkatesh, Geoff A. W. West, Hung Hai Bui:
Hierarchical Recognition of Intentional Human Gestures for Sports Video Annotation. ICPR (2) 2002: 1082-1085 - [c55]W. H. O. Lau, Mohan Kumar, Svetha Venkatesh:
A Generalised Cost-Aware Caching Scheme for Caching Continuous Media Objects in Best-Effort Network Environments. IWDC 2002: 12-23 - [c54]Dinh Q. Phung, Svetha Venkatesh, Chitra Dorai:
High level segmentation of instructional videos based on content density. ACM Multimedia 2002: 295-298 - [c53]Ba Tu Truong, Svetha Venkatesh, Chitra Dorai:
Application of computational media aesthetics methodology to extracting color semantics in film. ACM Multimedia 2002: 339-342 - [c52]Ezra Tassone, Geoff A. W. West, Svetha Venkatesh:
Comparing Shape and Temporal PDMs. SSPR/SPR 2002: 195-204 - [c51]Mihai M. Lazarescu, Andrew Turpin, Svetha Venkatesh:
An Application of Machine Learning Techniques for the Classification of Glaucomatous Progression. SSPR/SPR 2002: 243-251 - [c50]W. H. O. Lau, Mohan Kumar, Svetha Venkatesh:
A cooperative cache architecture in support of caching multimedia objects in MANETs. WOWMOM 2002: 56-63 - 2001
- [j35]Chitra Dorai, Svetha Venkatesh:
Computational Media Aesthetics: Finding Meaning Beautiful. IEEE Multim. 8(4): 10-12 (2001) - [j34]Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West:
Tracking and Surveillance in Wide-Area Spatial Environments Using the Abstract Hidden Markov Model. Int. J. Pattern Recognit. Artif. Intell. 15(1): 177-195 (2001) - [j33]Chiou Peng Lam, Geoff A. W. West, Svetha Venkatesh:
Obtaining functional parametric models using active vision strategies. Pattern Recognit. 34(1): 79-94 (2001) - [j32]Kim Shearer, Horst Bunke, Svetha Venkatesh:
Video indexing and similarity retrieval by largest common subgraph detection using decision trees. Pattern Recognit. 34(5): 1075-1091 (2001) - [j31]Kim Shearer, Kirrily D. Wong, Svetha Venkatesh:
Combining multiple tracking algorithms for improved general performance. Pattern Recognit. 34(6): 1257-1269 (2001) - [j30]Kim Shearer, Svetha Venkatesh, Horst Bunke:
Video sequence matching via decision tree path following. Pattern Recognit. Lett. 22(5): 479-492 (2001) - [c49]W. H. O. Lau, Mohan Kumar, Svetha Venkatesh:
A Flexible Receiver-Driven Cache Replacement Scheme for Continuous Media Objects in Best-Effort Networks. HICSS 2001 - [c48]Brett Adams, Chitra Dorai, Svetha Venkatesh:
Automated Film Rhythm Extraction For Scene Analysis. ICME 2001 - [c47]W. H. O. Lau, Mohan Kumar, Svetha Venkatesh:
A Cache-Based Mobility-Aware Scheme For Real-Time Continuous Media Delivery In Wireless Networks. ICME 2001 - [c46]Simon Moncrieff, Chitra Dorai, Svetha Venkatesh:
Detecting Indexical Signs In Film Audio For Scene Interpretation. ICME 2001 - [c45]Ba Tu Truong, Svetha Venkatesh:
Determining Dramatic Intensification via Flashing Lights in Movies. ICME 2001 - [c44]Nor Jaidi Tuah, Mohan Kumar, Svetha Venkatesh:
Effect of Speculative Prefetching on Network Load in Distributed Systems. IPDPS 2001: 42 - [c43]Simon Moncrieff, Chitra Dorai, Svetha Venkatesh:
Affect computing in film through sound energy dynamics. ACM Multimedia 2001: 525-527 - [c42]Simon Moncrieff, Chitra Dorai, Svetha Venkatesh:
Analysis of Environmental Sounds as Indexical Signs in Film. IEEE Pacific Rim Conference on Multimedia 2001: 538-545 - 2000
- [j29]Mandyam V. Srinivasan, Shao-Wu Zhang, Javaan S. Chahl, Erhardt Barth, Svetha Venkatesh:
How honeybees make grazing landings on flat surfaces. Biol. Cybern. 83(3): 171-183 (2000) - [j28]Stewart Greenhill, Svetha Venkatesh:
Semantic data modelling and visualisation using Noetica. Data Knowl. Eng. 33(3): 241-276 (2000) - [c41]Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West:
On the Recognition of Abstract Markov Policies. AAAI/IAAI 2000: 524-530 - [c40]Brett Adams, Chitra Dorai, Svetha Venkatesh:
Novel Approach to Determining Tempo and Dramatic Story Sections in Motion Pictures. ICIP 2000: 283-286 - [c39]Ba Tu Truong, Chitra Dorai, Svetha Venkatesh:
Improved Fade and Dissolve Detection for Reliable Video Segmentation. ICIP 2000: 961-964 - [c38]Brett Adams, Chitra Dorai, Svetha Venkatesh:
Towards Automatic Extraction of Expressive Elements from Motion Pictures: Tempo. IEEE International Conference on Multimedia and Expo (II) 2000: 641-644 - [c37]Ezra Tassone, Geoff A. W. West, Svetha Venkatesh:
Determining Motion Components Using the Point Distribution Model. ICMI 2000: 363-370 - [c36]Mihai M. Lazarescu, Svetha Venkatesh, Geoff A. W. West:
On the Incremental Learning and Recognition of the Pattern of Movement of Multiple Labeled Objects in Dynamic Scenes. ICPR 2000: 2652-2655 - [c35]Ba Tu Truong, Svetha Venkatesh, Chitra Dorai:
Automatic Genre Identification for Content-Based Video Categorization. ICPR 2000: 4230-4233 - [c34]Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West:
A Probabilistic Framework for Tracking in Wide-Area Environments. ICPR 2000: 4702-4705 - [c33]Kim Shearer, Chitra Dorai, Svetha Venkatesh:
Incorporating Domain Knowledge with Video and Voice Data Analysis in News Broadcasts. MDM/KDD 2000: 46-53 - [c32]Ba Tu Truong, Chitra Dorai, Svetha Venkatesh:
New enhancements to cut, fade, and dissolve detection processes in video segmentation. ACM Multimedia 2000: 219-227 - [c31]Brett Adams, Chitra Dorai, Svetha Venkatesh:
Study of shot length and motion as contributing factors to movie tempo (poster session). ACM Multimedia 2000: 353-355 - [c30]Mihai M. Lazarescu, Horst Bunke, Svetha Venkatesh:
Graph Matching: Fast Candidate Elimination Using Machine Learning Techniques. SSPR/SPR 2000: 236-245 - [c29]Nor Jaidi Tuah, Mohan Kumar, Svetha Venkatesh:
Performance modelling of speculative prefetching for compound requests in low bandwidth networks. WOWMOM 2000: 83-92
1990 – 1999
- 1999
- [j27]Keven Weber, Svetha Venkatesh, Mandyam V. Srinivasan:
Insect-Inspired Robotic Homing. Adapt. Behav. 7(1): 65-97 (1999) - [j26]Hung Hai Bui, Svetha Venkatesh, Geoff A. W. West:
Layered dynamic probabilistic networks for spatio-temporal modelling. Intell. Data Anal. 3(5): 339-361 (1999) - [j25]Hung Hai Bui, Svetha Venkatesh, Dorota H. Kieronska:
Learning Other Agents' Preferences in Multi-Agent Negotiation Using the Bayesian Classifier. Int. J. Cooperative Inf. Syst. 8(4): 275-294 (1999) - [j24]Stewart Greenhill, Svetha Venkatesh:
Constructing and navigating personalised views of the Web. Inf. Process. Manag. 35(5): 679-689 (1999) - [j23]Mohan Kumar, Svetha Venkatesh, Kok Yong Lim, H. Santoso:
Information access and QoS issues in a mobile computing environment. J. Netw. Comput. Appl. 22(2): 91-118 (1999) - [j22]Mandyam V. Srinivasan, Javaan S. Chahl, Keven Weber, Svetha Venkatesh, Martin G. Nagle, Shao-Wu Zhang:
Robot navigation inspired by principles of insect vision. Robotics Auton. Syst. 26(2-3): 203-216 (1999) - [c28]Mihai M. Lazarescu, Svetha Venkatesh, Geoff A. W. West:
Classifying and Learning Cricket Shots Using Camera Motion. Australian Joint Conference on Artificial Intelligence 1999: 13-23 - [c27]Masahiro Takatsuka, Geoff A. W. West, Svetha Venkatesh, Terry Caelli:
Low-Cost Interactive Active Monocular Range Finder. CVPR 1999: 1444-1449 - [c26]Masahiro Takatsuka, Terry Caelli, Geoff A. W. West, Svetha Venkatesh:
Symbolic Representation and Distributed Matching Strategies for Schematics. ICDAR 1999: 693-696 - [c25]Kim Shearer, Svetha Venkatesh:
Detection of Setting and Subject Information in Documentary Video. ICMCS, Vol. 1 1999: 797-801 - [c24]Mihai M. Lazarescu, Svetha Venkatesh, Geoff A. W. West, Terry Caelli:
On the Automated Interpretation and Indexing of American Football. ICMCS, Vol. 1 1999: 802-806 - [c23]Russell Keith-Magee, Svetha Venkatesh, Masahiro Takatsuka:
An empirical study of neighbourhood decay in Kohonen's self organising map. IJCNN 1999: 1953-1958 - [c22]Nor Jaidi Tuah, Mohan Kumar, Svetha Venkatesh:
A Performance Model of Speculative Prefetching in Distributed Information Systems. IPPS/SPDP 1999: 75-80 - [c21]Mandyam V. Srinivasan, Javaan S. Chahl, Keven Weber, Svetha Venkatesh, Shao-Wu Zhang, Martin G. Nagle:
From Insects to Robots. ISER 1999: 3-12 - 1998
- [j21]Mihai M. Lazarescu, Terry Caelli, Svetha Venkatesh:
Extracting Common Subtrees from Decision Trees. Int. J. Pattern Recognit. Artif. Intell. 12(6): 867-879 (1998) - [j20]Stewart Greenhill, Svetha Venkatesh:
Noetica: A Tool for Semantic Data Modelling. Inf. Process. Manag. 34(6): 739-760 (1998) - [j19]Chiou Peng Lam, Geoff A. W. West, Svetha Venkatesh:
Stabilising The Camera-To-Fixation Point Distance In Active Vision. Pattern Recognit. 31(10): 1431-1442 (1998) - [c20]Keven Weber, Svetha Venkatesh, Mandyam V. Srinivasan:
An insect-based approach to robotic homing. ICPR 1998: 297-299 - [c19]Robin Hosie, Svetha Venkatesh, Geoff A. W. West:
Classifying and detecting group behaviour from visual surveillance data. ICPR 1998: 602-604 - [c18]Mihai M. Lazarescu, Svetha Venkatesh, Geoff A. W. West, Terry Caelli:
Combining NL processing and video data to query American Football. ICPR 1998: 1238-1240 - [c17]Kim Shearer, Svetha Venkatesh, Horst Bunke:
An efficient least common subgraph algorithm for video indexing. ICPR 1998: 1241-1243 - [c16]Nor Jaidi Tuah, Mohan Kumar, Svetha Venkatesh:
Investigation of a Prefetch Model for Low Bandwidth Networks. WOWMOM 1998: 38-47 - [e1]Anil K. Jain, Svetha Venkatesh, Brian C. Lovell:
Fourteenth International Conference on Pattern Recognition, ICPR 1998, Brisbane, Australia, 16-20 August, 1998. IEEE Computer Society 1998, ISBN 0-8186-8512-3 [contents] - 1997
- [j18]Chiou Peng Lam, Svetha Venkatesh, Geoff A. W. West:
Hypothesis Verification Using Parametric Models and Active Vision Strategies. Comput. Vis. Image Underst. 68(2): 209-236 (1997) - [j17]Kim Shearer, Svetha Venkatesh, Dorota H. Kieronska:
The Visitors Guide: A Simple Video Reuse Application. Int. J. Pattern Recognit. Artif. Intell. 11(2): 275-301 (1997) - [j16]Roger W. Smith, Dorota H. Kieronska, Svetha Venkatesh:
Conceptual Representation for Multimedia Information. Int. J. Pattern Recognit. Artif. Intell. 11(2): 303-327 (1997) - [j15]Fee-Lee Lim, Svetha Venkatesh, Geoff A. W. West:
Resolution consideration in spatially variant sensors. Image Vis. Comput. 15(12): 901-912 (1997) - [j14]Mandyam V. Srinivasan, Svetha Venkatesh, Robin Hosie:
Qualitative estimation of camera motion parameters from video sequences. Pattern Recognit. 30(4): 593-606 (1997) - [j13]Kim Shearer, Dorota H. Kieronska, Svetha Venkatesh:
Resequencing of Video using Spatial Indexing. J. Vis. Lang. Comput. 8(2): 193-214 (1997) - [c15]Hung Hai Bui, Dorota H. Kieronska, Svetha Venkatesh:
Optimal Communication Among Team Members. Australian Joint Conference on Artificial Intelligence 1997: 116-126 - [c14]Hung Hai Bui, Svetha Venkatesh, Dorota H. Kieronska:
A Framework for Coordination and Learning among Teams of Agents. Agents and Multi-Agent Systems Formalisms, Methodologies, and Applications 1997: 164-178 - 1996
- [j12]Kim Shearer, Svetha Venkatesh, Dorota H. Kieronska:
Spatial Indexing for Video Databases. J. Vis. Commun. Image Represent. 7(4): 325-335 (1996) - [c13]Hung Hai Bui, Dorota H. Kieronska, Svetha Venkatesh:
Learning other Agents' Preferences in Multiagent Negotiation. AAAI/IAAI, Vol. 1 1996: 114-119 - [c12]Mohan Kumar, Svetha Venkatesh, Sethuraman Panchanathan:
A distributed directory scheme for information access in mobile computers. HiPC 1996: 138-143 - [c11]Fee-Lee Lim, Svetha Venkatesh, Geoff A. W. West:
Human saccadic eye movements and tracking by active foveation in log polar space. Human Vision and Electronic Imaging 1996: 338-349 - [c10]Keven Weber, Svetha Venkatesh, Mandyam V. Srinivasan:
Insect inspired behaviours for the autonomous control of mobile robots. ICPR 1996: 156-160 - [c9]Fee-Lee Lim, Geoff A. W. West, Svetha Venkatesh:
Tracking in a space variant active vision system. ICPR 1996: 745-749 - [c8]Fee-Lee Lim, Svetha Venkatesh, Geoff A. W. West:
Resolution consideration in spatially variant sensors. ICPR 1996: 795-799 - [c7]Roger W. Smith, Dorota H. Kieronska, Svetha Venkatesh:
Media-Independent Knowledge Representation via UMART: Unified Mental Annotation and Retrieval Tool. Storage and Retrieval for Image and Video Databases (SPIE) 1996: 96-107 - [c6]Dorota H. Kieronska, Svetha Venkatesh:
Media-Independent Information Representation and Retrieval. Storage and Retrieval for Image and Video Databases (SPIE) 1996: 415-425 - 1995
- [j11]Svetha Venkatesh, Dorota H. Kieronska, Stewart Smith:
Spatial reasoning via active observation. Appl. Artif. Intell. 9(5): 495-524 (1995) - [j10]Mohan Kumar, Svetha Venkatesh, Dorota H. Kieronska, Lalit M. Patnaik:
Hierarchical Directory-Based Shared Memory Architecture. Comput. J. 38(3): 207-216 (1995) - [j9]Svetha Venkatesh, Paul L. Rosin:
Dynamic Threshold Determination by Local and Global Edge Evaluation. CVGIP Graph. Model. Image Process. 57(2): 146-160 (1995) - [j8]Michael C. Robey, Geoff A. W. West, Svetha Venkatesh:
An Investigation into the Use of Physical Modeling for the Prediction of Various Feature Types Visible from Different Viewpoints. Comput. Vis. Image Underst. 61(3): 417-429 (1995) - [j7]Svetha Venkatesh, James W. Cooper, Brian White:
Local energy and pre-envelope. Pattern Recognit. 28(8): 1127-1134 (1995) - 1994
- [j6]M. Kisworo, Svetha Venkatesh, Geoff A. W. West:
Modeling Edges at Subpixel Accuracy Using the Local Energy Approach. IEEE Trans. Pattern Anal. Mach. Intell. 16(4): 405-410 (1994) - [c5]Chiou Peng Lam, Geoff A. W. West, Svetha Venkatesh:
Emerging hypothesis verification using function-based geometric models and active vision strategies. CVPR 1994: 818-822 - 1993
- [j5]James W. Cooper, Svetha Venkatesh, Leslie J. Kitchen:
Early Jump-Out Corner Detectors. IEEE Trans. Pattern Anal. Mach. Intell. 15(8): 823-828 (1993) - [j4]Paul L. Rosin, Svetha Venkatesh:
Extracting natural scales using fourier descriptors. Pattern Recognit. 26(9): 1383-1393 (1993) - [c4]Dorota H. Kieronska, Svetha Venkatesh:
Hierarchic Representation for Spatial Knowledge. EUROCAST 1993: 314-329 - 1992
- [j3]Svetha Venkatesh, Leslie John Kitchen:
Edge evaluation using necessary components. CVGIP Graph. Model. Image Process. 54(1): 23-30 (1992) - [c3]Svetha Venkatesh, James W. Cooper, Brian White:
Local energy, the pre-envelope, and filter resolution. ICPR (3) 1992: 13-17 - 1991
- [c2]James W. Cooper, Svetha Venkatesh, Leslie J. Kitchen:
Early jump-out corner detectors. CVPR 1991: 688-689 - [c1]Svetha Venkatesh, Dorota H. Kieronska:
A Unified Formalism for Landmark-Based Representation of Maps and Navigation Plans. Fuzzy Logic and Fuzzy Control 1991: 123-132 - 1990
- [j2]Svetha Venkatesh, Robyn A. Owens:
On the classification of image features. Pattern Recognit. Lett. 11(5): 339-349 (1990)
1980 – 1989
- 1989
- [j1]Robyn A. Owens, Svetha Venkatesh, John Ross:
Edge detection is a projection. Pattern Recognit. Lett. 9(4): 233-244 (1989)
Coauthor Index
[j88] [j87] [j84] [j82] [c215] [j77] [c196] [c190] [c189] [c183] [c180] [c178] [c177] [c176] [c175] [c173] [j71] [c165] [c164] [c163] [c162] [j68] [c153] [c152] [c151] [j65] [j62] [c148] [c133] [c128] [c110] [c104] [c103] [j50] [j49] [c95] [c90] [c89] [j47] [c86] [c84] [c80] [c67] [c66] [j40] [c48] [c40] [c38] [c31]
[j124] [c258] [c238] [c236] [c228] [i24] [i13] [i12] [i11] [i5] [j72] [i3] [j70] [c149] [c131] [c129] [c112] [c111] [c109] [j52] [j50] [c98] [c97] [c91] [j48] [j45] [c88] [c87] [c85] [c81] [c77] [c76] [c75] [c73] [c72] [c67] [c64] [c63] [j39] [c60] [c56] [j34] [c41] [c34] [j26] [j25] [c15] [c14] [c13]
Terry Caelli
aka: Terry M. Caelli
aka: Terry M. Caelli
[c416] [c411] [c409] [c408] [i153] [i151] [i146] [i145] [j154] [c407] [c405] [c403] [c402] [c399] [i143] [i141] [i139] [i137] [i136] [i135] [j152] [j151] [j150] [j149] [c397] [c396] [c392] [c391] [c389] [c383] [c381] [c380] [c378] [i131] [i129] [i126] [i125] [i124] [i123] [i121] [j148] [j145] [j144] [c376] [c375] [c372] [c371] [c369] [c367] [c366] [c365] [c364] [i119] [i118] [i116] [i114] [i113] [i111] [i110] [i109] [i107] [i106] [j141] [j139] [j138] [j137] [j136] [j135] [c363] [c362] [c360] [c359] [c354] [c352] [c350] [c349] [c346] [c345] [c344] [c343] [i104] [i101] [i100] [i98] [i97] [i96] [i95] [i94] [i93] [i91] [i90] [i86] [i84] [j134] [j133] [c342] [c341] [c340] [c339] [c338] [c335] [c331] [c330] [c329] [c328] [i82] [i80] [i79] [i75] [i73] [i72] [i71] [i70] [i69] [i68] [j130] [c327] [c326] [c325] [c324] [c321] [c317] [c315] [c313] [c311] [c310] [c309] [c308] [c306] [i61] [i57] [i56] [i54] [j119] [j118] [j115] [c303] [c302] [c301] [c300] [c298] [c297] [c296] [i50] [j112] [j111] [j108] [j106] [j105] [c292] [c289] [c288] [c286] [c280] [c276] [c275] [c274] [c273] [c270] [c266] [c263] [c261] [c260] [j101] [j96] [c252] [c248] [c247] [c246] [c241] [c239] [c234] [j90] [c224] [c222] [c221] [c220] [j84] [j79] [c210] [c207] [c202] [c192] [c188] [c187] [i7] [c175] [c164]
Thommen George Karimpanal
aka: Thommen Karimpanal George
aka: Thommen Karimpanal George
[c415] [c414] [c413] [c411] [c410] [i154] [i152] [i150] [i148] [i147] [i146] [j154] [c406] [c405] [c401] [i144] [i141] [i138] [i137] [c398] [c395] [c390] [c388] [c387] [c382] [i132] [i130] [i129] [i122] [c372] [c368] [i114] [i111] [i108] [i107] [i105] [c356] [c355] [i103] [i88] [c334] [i83] [i76] [c319] [c318] [c316] [i65] [i63] [i59]
[c416] [i145] [i135] [j152] [j147] [j143] [j140] [c353] [j132] [j128] [c324] [c318] [c315] [c305] [d3] [d2] [d1] [i62] [i59] [i55] [j123] [j122] [j121] [j117] [c294] [c293] [j103] [c291] [c289] [c288] [c277] [c259] [c257] [c256] [j94] [c249] [c232] [j88] [j86] [c230] [c219] [c218] [c217] [j82] [j79] [c213] [c208] [c190] [c180] [c176] [c173] [c163] [c162]
Vu Nguyen 0001
aka: Tien-Vu Nguyen
aka: Tien-Vu Nguyen
Duc-Son Pham 0001
aka: Sonny Pham
aka: Sonny Pham
Dinh Q. Phung
aka: Dinh Quoc Phung
aka: Dinh Quoc Phung
[j140] [j129] [j128] [j127] [j125] [c312] [c307] [c305] [j124] [j123] [j122] [j121] [j120] [j119] [j118] [j117] [j115] [c304] [c295] [c294] [c293] [i47] [i46] [i45] [j114] [j113] [j112] [j111] [j110] [j109] [j108] [j107] [j106] [j105] [j103] [c291] [c290] [c287] [c285] [c284] [c283] [c282] [c279] [c278] [c277] [c276] [c273] [c272] [c271] [c268] [c267] [c265] [c264] [c262] [c261] [c259] [c258] [c257] [c256] [i43] [i42] [i41] [i40] [i39] [i36] [i35] [i34] [i32] [j102] [j101] [j100] [j99] [j98] [j96] [j95] [j94] [j91] [c255] [c254] [c253] [c252] [c251] [c250] [c249] [c248] [c243] [c242] [c240] [c239] [c238] [c237] [c236] [c235] [c234] [c233] [c232] [i31] [i27] [i26] [i25] [j90] [j88] [j87] [j86] [c231] [c230] [c229] [c228] [c226] [c225] [c224] [c223] [c222] [c221] [c220] [c219] [c218] [c217] [i24] [i23] [i22] [i21] [i20] [i18] [i17] [i16] [i15] [i14] [i13] [j84] [j83] [j82] [j79] [c216] [c215] [c214] [c213] [c212] [c211] [c210] [c209] [c208] [c207] [c206] [c205] [c204] [c203] [c202] [c201] [j77] [c200] [c199] [c198] [c197] [c195] [c194] [c192] [c191] [c190] [c189] [c188] [c187] [c186] [c185] [i8] [i7] [c183] [c181] [c180] [c178] [c177] [c176] [c175] [c174] [c173] [c172] [j71] [c164] [c163] [c162] [i4] [i3] [j70] [j68] [c153] [c152] [c151] [c150] [j65] [j62] [c149] [c148] [c131] [c130] [c129] [c128] [c127] [c111] [c109] [c103] [c98] [c97] [c91] [c88] [c87] [c73] [c68] [c65] [c58] [c54]
[c414] [c412] [c409] [c408] [i154] [i153] [i151] [i149] [j154] [c403] [c402] [i143] [i142] [i141] [i139] [i137] [i136] [j152] [j151] [j150] [c397] [c396] [c392] [c390] [c386] [c385] [c384] [c382] [c380] [c379] [c378] [i134] [i133] [i132] [i131] [i126] [i124] [i122] [j148] [j145] [j144] [c375] [c372] [c371] [c370] [c369] [c367] [c366] [c365] [c364] [i118] [i117] [i116] [i114] [i113] [i111] [i109] [i107] [j141] [j139] [j138] [j137] [j136] [j135] [c363] [c362] [c360] [c359] [c354] [c352] [c350] [c349] [c346] [c345] [c344] [c343] [i104] [i101] [i100] [i98] [i97] [i96] [i95] [i94] [i91] [i90] [i86] [i84] [j134] [j133] [c342] [c341] [c340] [c339] [c338] [c335] [c331] [c330] [c329] [c328] [i82] [i80] [i79] [i75] [i73] [i72] [i71] [i70] [i69] [i68] [j130] [c327] [c326] [c325] [c324] [c321] [c317] [c315] [c313] [c311] [c310] [c309] [c308] [c306] [i61] [i57] [i56] [i54] [c303] [c302] [c301] [c300] [c298] [c297] [c296] [i50] [j109] [j108] [j107] [c292] [c289] [c288] [c286] [c280] [c275] [c274] [c270] [c266] [c263] [c261] [c260] [j96] [c246] [c243] [c239] [c234] [j90] [c226] [c222] [c220] [c214] [c203] [c194] [c191] [j67] [c144] [c134]
Truyen Tran 0001
aka: Tran The Truyen
aka: Tran The Truyen
[j155] [c416] [c414] [c411] [i154] [i152] [j154] [j153] [c406] [c404] [c401] [c399] [i144] [i140] [i137] [i135] [c395] [c394] [c393] [c390] [c388] [c382] [i132] [i130] [i128] [i127] [i126] [i125] [i122] [j146] [j143] [j142] [c377] [c374] [c373] [c368] [c366] [c365] [c364] [i120] [i115] [i112] [i108] [i107] [c361] [c358] [c357] [c356] [c355] [c351] [c349] [c348] [i103] [i102] [i99] [i98] [i92] [i89] [i87] [i86] [i85] [j132] [c337] [c334] [c333] [c332] [c328] [i83] [i81] [i78] [i76] [i74] [i71] [j126] [c323] [c322] [c320] [c319] [c318] [c316] [i67] [i66] [i65] [i64] [i63] [i62] [i60] [i59] [i58] [i54] [i53] [j124] [j120] [j116] [c304] [c299] [i52] [i51] [i49] [i48] [i46] [i45] [i44] [j114] [j113] [j110] [c290] [c287] [c278] [c272] [c268] [c265] [c264] [i43] [i42] [i41] [i40] [i39] [i37] [i36] [i35] [i34] [i33] [j102] [j100] [j99] [j91] [c255] [c237] [j90] [c219] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [c216] [c212] [c211] [c206] [c205] [c200] [c198] [c195] [c186] [c185] [i8] [c174] [c172] [c164] [c163] [c162] [i4] [i3] [c150] [c131] [c130] [c129] [c127] [c111]
[i5] [j73] [c166] [j69] [c160] [c155] [j66] [j63] [c140] [c137] [j59] [j58] [j55] [c125] [c122] [c118] [c107] [c106] [j52] [c99] [c96] [c94] [j45] [c85] [c81] [c78] [c77] [c76] [c75] [c74] [j43] [c72] [c64] [c63] [j39] [j38] [c61] [c60] [c57] [c56] [c52] [j34] [j33] [c41] [c37] [c36] [c34] [j26] [c28] [c27] [c26] [c24] [j19] [c19] [c18] [j18] [j15] [c11] [c9] [c8] [j8] [j6] [c5]
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