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ORCIDTruyen Tran 0001
Tran The Truyen
Person information
- affiliation: Deakin University, Center for Pattern Recognition and Data Analyticss (PRaDA), Geelong, Australia
- affiliation (PhD 2008): Curtin University of Technology, Department of Computing, Perth, Australia
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2020 – today
- 2025
[j32]Romero F. A. B. de Morais, Truyen Tran
, Caroline Alexander, Natasha Amery, Catherine Morgan, Alicia J. Spittle, Vuong Le, Nadia Badawi, Alison Salt, Jane Valentine, Catherine Elliott, Elizabeth M. Hurrion, Paul A Dawson, Svetha Venkatesh:
Fine-Grained Fidgety Movement Classification Using Active Learning. IEEE J. Biomed. Health Informatics 29(1): 596-607 (2025)- 2024
- [j31]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) - [j30]Nhung Nghiem, Nick Wilson, Jeremy Krebs, Truyen Tran:
Predicting the risk of diabetes complications using machine learning and social administrative data in a country with ethnic inequities in health: Aotearoa New Zealand. BMC Medical Informatics Decis. Mak. 24(1): 274 (2024) - [c94]Phuoc Nguyen, Truyen Tran, Sunil Gupta, Thin Nguyen, Svetha Venkatesh:
Root Cause Explanation of Outliers under Noisy Mechanisms. AAAI 2024: 20508-20515 - [c93]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 - [c92]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 - [i108]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) - [i107]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) - [i106]Giang Do, Hung Le, Truyen Tran:
SimSMoE: Solving Representational Collapse via Similarity Measure. CoRR abs/2406.15883 (2024) - [i105]Long Hoang Dang, Thao Minh Le, Vuong Le, Tu Minh Phuong, Truyen Tran:
SADL: An Effective In-Context Learning Method for Compositional Visual QA. CoRR abs/2407.01983 (2024) - [i104]Chayan Banerjee, Kien Nguyen Thanh, Olivier Salvado, Truyen Tran, Clinton Fookes:
PINNs for Medical Image Analysis: A Survey. CoRR abs/2408.01026 (2024) - [i103]Tuyen Tran, Thao Minh Le, Hung Tran, Truyen Tran:
Unified Framework with Consistency across Modalities for Human Activity Recognition. CoRR abs/2409.02385 (2024) - [i102]Tri Minh Nguyen, Sherif Abdulkader Tawfik, Truyen Tran, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Efficient Symmetry-Aware Materials Generation via Hierarchical Generative Flow Networks. CoRR abs/2411.04323 (2024) - [i101]Thang Nguyen, Dung Nguyen, Kha Pham, Truyen Tran:
MP-PINN: A Multi-Phase Physics-Informed Neural Network for Epidemic Forecasting. CoRR abs/2411.06781 (2024) - [i100]Giang Do, Kha Pham, Hung Le, Truyen Tran:
On the effectiveness of discrete representations in sparse mixture of experts. CoRR abs/2411.19402 (2024) - [i99]Quang-Hung Le, Long Hoang Dang, Ngan Le, Truyen Tran, Thao Minh Le:
Progressive Multi-granular Alignments for Grounded Reasoning in Large Vision-Language Models. CoRR abs/2412.08125 (2024) - [i98]Minh Khoa Le, Kien Do, Truyen Tran:
Learning Structural Causal Models from Ordering: Identifiable Flow Models. CoRR abs/2412.09843 (2024) - 2023
- [j29]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) - [j28]Tri Minh Nguyen, Thin Nguyen, Truyen Tran:
Learning to discover medicines. Int. J. Data Sci. Anal. 16(3): 301-316 (2023) - [j27]Tri Minh Nguyen, Thomas P. Quinn, Thin Nguyen, Truyen Tran:
Explaining Black Box Drug Target Prediction Through Model Agnostic Counterfactual Samples. IEEE ACM Trans. Comput. Biol. Bioinform. 20(2): 1020-1029 (2023) - [j26]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) - [c91]Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Memory-Augmented Theory of Mind Network. AAAI 2023: 11630-11637 - [c90]Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran:
Persistent-Transient Duality: A Multi-mechanism Approach for Modeling Human-Object Interaction. ICCV 2023: 9824-9833 - [c89]Kha Pham, Hung Le, Man Ngo, Truyen Tran:
Improving Out-of-distribution Generalization with Indirection Representations. ICLR 2023 - [c88]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 - [c87]John C. Grundy, Anuradha Madugalla, Jennifer McIntosh, Truyen Tran:
Vision: Requirements Engineering for Software Development in Aged Care. REW 2023: 440-445 - [c86]Thao Minh Le, Vuong Le, Sunil Gupta, Svetha Venkatesh, Truyen Tran:
Guiding Visual Question Answering with Attention Priors. WACV 2023: 4370-4379 - [i97]Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Memory-Augmented Theory of Mind Network. CoRR abs/2301.06926 (2023) - [i96]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) - [i95]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) - [i94]Phuoc Nguyen, Truyen Tran, Sunil Gupta, Thin Nguyen, Svetha Venkatesh:
Root Cause Explanation of Outliers under Noisy Mechanisms. CoRR abs/2312.11818 (2023) - 2022
- [j25]Tri Minh Nguyen, Thin Nguyen, Truyen Tran:
Mitigating cold-start problems in drug-target affinity prediction with interaction knowledge transferring. Briefings Bioinform. 23(4) (2022) - [j24]Tri Minh Nguyen, Thin Nguyen, Thao Minh Le, Truyen Tran:
GEFA: Early Fusion Approach in Drug-Target Affinity Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 19(2): 718-728 (2022) - [c85]Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran:
Learning Theory of Mind via Dynamic Traits Attribution. AAMAS 2022: 954-962 - [c84]Dung Nguyen, Phuoc Nguyen, Svetha Venkatesh, Truyen Tran:
Learning to Transfer Role Assignment Across Team Sizes. AAMAS 2022: 963-971 - [c83]Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran:
Persistent-Transient Duality in Human Behavior Modeling. CVPR Workshops 2022: 2527-2530 - [c82]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 - [c81]Hoang-Anh Pham, Thao Minh Le, Vuong Le, Tu Minh Phuong, Truyen Tran:
Video Dialog as Conversation About Objects Living in Space-Time. ECCV (39) 2022: 710-726 - [c80]Kha Pham, Hung Le, Man Ngo, Truyen Tran, Bao Ho, Svetha Venkatesh:
Generative Pseudo-Inverse Memory. ICLR 2022 - [c79]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 - [c78]Kha Pham, Hung Le, Man Ngo, Truyen Tran:
Functional Indirection Neural Estimator for Better Out-of-distribution Generalization. NeurIPS 2022 - [i93]Tri Minh Nguyen, Thin Nguyen, Truyen Tran:
Mitigating cold start problems in drug-target affinity prediction with interaction knowledge transferring. CoRR abs/2202.01195 (2022) - [i92]Tri Minh Nguyen, Thin Nguyen, Truyen Tran:
Learning to Discover Medicines. CoRR abs/2202.07096 (2022) - [i91]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) - [i90]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) - [i89]Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran:
Persistent-Transient Duality in Human Behavior Modeling. CoRR abs/2204.09875 (2022) - [i88]Dung Nguyen, Phuoc Nguyen, Svetha Venkatesh, Truyen Tran:
Learning to Transfer Role Assignment Across Team Sizes. CoRR abs/2204.12937 (2022) - [i87]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) - [i86]Thao Minh Le, Vuong Le, Sunil Gupta, Svetha Venkatesh, Truyen Tran:
Guiding Visual Question Answering with Attention Priors. CoRR abs/2205.12616 (2022) - [i85]Hoang-Anh Pham, Thao Minh Le, Vuong Le, Tu Minh Phuong, Truyen Tran:
Video Dialog as Conversation about Objects Living in Space-Time. CoRR abs/2207.03656 (2022) - [i84]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) - [i83]Kha Pham, Hung Le, Man Ngo, Truyen Tran:
Functional Indirection Neural Estimator for Better Out-of-distribution Generalization. CoRR abs/2210.12739 (2022) - 2021
- [j23]Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Chaiyong Ragkhitwetsagul, Aditya Ghose:
Automatically recommending components for issue reports using deep learning. Empir. Softw. Eng. 26(1): 14 (2021) - [j22]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) - [j21]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) - [j20]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) - [j19]Hoa Khanh Dam, Truyen Tran, Trang Pham, Shien Wee Ng, John Grundy, Aditya Ghose:
Automatic Feature Learning for Predicting Vulnerable Software Components. IEEE Trans. Software Eng. 47(1): 67-85 (2021) - [c77]Kien Do, Truyen Tran, Svetha Venkatesh:
Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization. AAAI 2021: 7236-7244 - [c76]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 - [c75]Kien Do, Truyen Tran, Svetha Venkatesh:
Clustering by Maximizing Mutual Information Across Views. ICCV 2021: 9908-9918 - [c74]Asjad Khan, Hung Le, Kien Do, Truyen Tran, Aditya Ghose, Hoa Khanh Dam, Renuka Sindhgatta:
DeepProcess: Supporting Business Process Execution Using a MANN-Based Recommender System. ICSOC 2021: 19-33 - [c73]Long Hoang Dang, Thao Minh Le, Vuong Le, Truyen Tran:
Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering. IJCAI 2021: 636-642 - [c72]Long Hoang Dang, Thao Minh Le, Vuong Le, Truyen Tran:
Object-Centric Representation Learning for Video Question Answering. IJCNN 2021: 1-8 - [c71]Truyen Tran, Vuong Le, Hung Le, Thao Minh Le:
From Deep Learning to Deep Reasoning. KDD 2021: 4076-4077 - [c70]Hung Le, Thommen George Karimpanal, Majid Abdolshah, Truyen Tran, Svetha Venkatesh:
Model-Based Episodic Memory Induces Dynamic Hybrid Controls. NeurIPS 2021: 30313-30325 - [c69]Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Hieu-Chi Dam, Svetha Venkatesh:
Variational Hyper-encoding Networks. ECML/PKDD (2) 2021: 100-115 - [c68]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 - [c67]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 - [c66]Hung Tran, Vuong Le, Truyen Tran:
Goal-driven Long-Term Trajectory Prediction. WACV 2021: 796-805 - [i82]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) - [i81]Tri Minh Nguyen, Thomas P. Quinn, Thin Nguyen, Truyen Tran:
Counterfactual Explanation with Multi-Agent Reinforcement Learning for Drug Target Prediction. CoRR abs/2103.12983 (2021) - [i80]Long Hoang Dang, Thao Minh Le, Vuong Le, Truyen Tran:
Object-Centric Representation Learning for Video Question Answering. CoRR abs/2104.05166 (2021) - [i79]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) - [i78]Long Hoang Dang, Thao Minh Le, Vuong Le, Truyen Tran:
Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering. CoRR abs/2106.13432 (2021) - [i77]Kien Do, Truyen Tran, Svetha Venkatesh:
Clustering by Maximizing Mutual Information Across Views. CoRR abs/2107.11635 (2021) - [i76]Hung Le, Thommen George Karimpanal, Majid Abdolshah, Truyen Tran, Svetha Venkatesh:
Model-Based Episodic Memory Induces Dynamic Hybrid Controls. CoRR abs/2111.02104 (2021) - [i75]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) - 2020
- [c65]Dung Nguyen, Svetha Venkatesh, Phuoc Nguyen, Truyen Tran:
Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning. ACML 2020: 33-48 - [c64]Romero F. A. B. de Morais, Vuong Le, Truyen Tran, Svetha Venkatesh:
Learning to Abstract and Predict Human Actions. BMVC 2020 - [c63]Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran:
Hierarchical Conditional Relation Networks for Video Question Answering. CVPR 2020: 9969-9978 - [c62]Kien Do, Truyen Tran:
Theory and Evaluation Metrics for Learning Disentangled Representations. ICLR 2020 - [c61]Hung Le, Truyen Tran, Svetha Venkatesh:
Neural Stored-program Memory. ICLR 2020 - [c60]Hung Le, Truyen Tran, Svetha Venkatesh:
Self-Attentive Associative Memory. ICML 2020: 5682-5691 - [c59]Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran:
Dynamic Language Binding in Relational Visual Reasoning. IJCAI 2020: 818-824 - [c58]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 - [c57]Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran:
Neural Reasoning, Fast and Slow, for Video Question Answering. IJCNN 2020: 1-8 - [c56]Hoang Thanh-Tung, Truyen Tran:
Catastrophic forgetting and mode collapse in GANs. IJCNN 2020: 1-10 - [c55]Duc Nguyen, Phuoc Nguyen, Kien Do, Santu Rana, Sunil Gupta, Truyen Tran:
Unsupervised Anomaly Detection on Temporal Multiway Data. SSCI 2020: 1059-1066 - [i74]Hung Le, Truyen Tran, Svetha Venkatesh:
Self-Attentive Associative Memory. CoRR abs/2002.03519 (2020) - [i73]Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran:
Hierarchical Conditional Relation Networks for Video Question Answering. CoRR abs/2002.10698 (2020) - [i72]Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran:
Dynamic Language Binding in Relational Visual Reasoning. CoRR abs/2004.14603 (2020) - [i71]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) - [i70]Romero F. A. B. de Morais, Vuong Le, Truyen Tran, Svetha Venkatesh:
Learning to Abstract and Predict Human Actions. CoRR abs/2008.09234 (2020) - [i69]Dung Nguyen, Svetha Venkatesh, Phuoc Nguyen, Truyen Tran:
Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning. CoRR abs/2009.07445 (2020) - [i68]Duc Nguyen, Phuoc Nguyen, Kien Do, Santu Rana, Sunil Gupta, Truyen Tran:
Unsupervised Anomaly Detection on Temporal Multiway Data. CoRR abs/2009.09443 (2020) - [i67]Tri Minh Nguyen, Thin Nguyen, Thao Minh Le, Truyen Tran:
GEFA: Early Fusion Approach in Drug-Target Affinity Prediction. CoRR abs/2009.12146 (2020) - [i66]Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran:
Hierarchical Conditional Relation Networks for Multimodal Video Question Answering. CoRR abs/2010.10019 (2020) - [i65]Hoang Thanh-Tung, Truyen Tran:
Toward a Generalization Metric for Deep Generative Models. CoRR abs/2011.00754 (2020) - [i64]Hung Tran, Vuong Le, Truyen Tran:
Goal-driven Long-Term Trajectory Prediction. CoRR abs/2011.02751 (2020) - [i63]Anh-Cat Le-Ngo, Truyen Tran, Santu Rana, Sunil Gupta, Svetha Venkatesh:
Logically Consistent Loss for Visual Question Answering. CoRR abs/2011.10094 (2020) - [i62]Kien Do, Truyen Tran, Svetha Venkatesh:
Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization. CoRR abs/2012.01793 (2020)
2010 – 2019
- 2019
- [j18]Kien Do, Truyen Tran, Thin Nguyen, Svetha Venkatesh:
Attentional multilabel learning over graphs: a message passing approach. Mach. Learn. 108(10): 1757-1781 (2019) - [j17]Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Aditya Ghose, Tim Menzies:
A Deep Learning Model for Estimating Story Points. IEEE Trans. Software Eng. 45(7): 637-656 (2019) - [c54]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 - [c53]Hung Le, Truyen Tran, Svetha Venkatesh:
Learning to Remember More with Less Memorization. ICLR 2019 - [c52]Hoang Thanh-Tung, Truyen Tran, Svetha Venkatesh:
Improving Generalization and Stability of Generative Adversarial Networks. ICLR (Poster) 2019 - [c51]Hoa Khanh Dam, Truyen Tran, John C. Grundy, Aditya Ghose, Yasutaka Kamei:
Towards effective AI-powered agile project management. ICSE (NIER) 2019: 41-44 - [c50]Kien Do, Truyen Tran, Svetha Venkatesh:
Graph Transformation Policy Network for Chemical Reaction Prediction. KDD 2019: 750-760 - [c49]Hoa Khanh Dam, Trang Pham, Shien Wee Ng, Truyen Tran, John C. Grundy, Aditya Ghose, Taeksu Kim, Chul-Joo Kim:
Lessons learned from using a deep tree-based model for software defect prediction in practice. MSR 2019: 46-57 - [c48]Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Matthew Barnett, Svetha Venkatesh:
Incomplete Conditional Density Estimation for Fast Materials Discovery. SDM 2019: 549-557 - [i61]Hung Le, Truyen Tran, Svetha Venkatesh:
Learning to Remember More with Less Memorization. CoRR abs/1901.01347 (2019) - [i60]Hoang Thanh-Tung, Truyen Tran, Svetha Venkatesh:
Improving Generalization and Stability of Generative Adversarial Networks. CoRR abs/1902.03984 (2019) - [i59]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) - [i58]Hung Le, Truyen Tran, Svetha Venkatesh:
Neural Stored-program Memory. CoRR abs/1906.08862 (2019) - [i57]Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran:
Learning to Reason with Relational Video Representation for Question Answering. CoRR abs/1907.04553 (2019) - [i56]Kien Do, Truyen Tran:
Theory and Evaluation Metrics for Learning Disentangled Representations. CoRR abs/1908.09961 (2019) - [i55]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) - 2018
- [j16]Kien Do, Truyen Tran, Svetha Venkatesh:
Energy-based anomaly detection for mixed data. Knowl. Inf. Syst. 57(2): 413-435 (2018) - [j15]Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Aditya Ghose, John Grundy:
Predicting Delivery Capability in Iterative Software Development. IEEE Trans. Software Eng. 44(6): 551-573 (2018) - [c47]Kien Do, Truyen Tran, Svetha Venkatesh:
Knowledge Graph Embedding with Multiple Relation Projections. ICPR 2018: 332-337 - [c46]Trang Pham, Truyen Tran, Svetha Venkatesh:
Graph Memory Networks for Molecular Activity Prediction. ICPR 2018: 639-644 - [c45]Hoa Khanh Dam, Truyen Tran, Aditya Ghose:
Explainable software analytics. ICSE (NIER) 2018: 53-56 - [c44]Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Aditya Ghose:
Predicting components for issue reports using deep learning with information retrieval. ICSE (Companion Volume) 2018: 244-245 - [c43]Phuoc Nguyen, Truyen Tran, Svetha Venkatesh:
Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records. IJCNN 2018: 1-9 - [c42]Hung Le, Truyen Tran, Svetha Venkatesh:
Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning. KDD 2018: 1637-1645 - [c41]Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh:
Variational Memory Encoder-Decoder. NeurIPS 2018: 1515-1525 - [c40]Hung Le, Truyen Tran, Svetha Venkatesh:
Dual Control Memory Augmented Neural Networks for Treatment Recommendations. PAKDD (3) 2018: 273-284 - [i54]Trang Pham, Truyen Tran, Svetha Venkatesh:
Graph Memory Networks for Molecular Activity Prediction. CoRR abs/1801.02622 (2018) - [i53]Kien Do, Truyen Tran, Svetha Venkatesh:
Knowledge Graph Embedding with Multiple Relation Projections. CoRR abs/1801.08641 (2018) - [i52]Hoa Khanh Dam, Truyen Tran, Aditya Ghose:
Explainable Software Analytics. CoRR abs/1802.00603 (2018) - [i51]Hung Le, Truyen Tran, Svetha Venkatesh:
Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning. CoRR abs/1802.00662 (2018) - [i50]Hoa Khanh Dam, Trang Pham, Shien Wee Ng, Truyen Tran, John Grundy, Aditya Ghose, Taeksu Kim, Chul-Joo Kim:
A deep tree-based model for software defect prediction. CoRR abs/1802.00921 (2018) - [i49]Muhammad Asjad Khan, Hung Le, Kien Do, Truyen Tran, Aditya Ghose, Khanh Hoa Dam, Renuka Sindhgatta:
Memory-Augmented Neural Networks for Predictive Process Analytics. CoRR abs/1802.00938 (2018) - [i48]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) - [i47]Hung Le, Truyen Tran, Svetha Venkatesh:
Dual Control Memory Augmented Neural Networks for Treatment Recommendations. CoRR abs/1802.03689 (2018) - [i46]Kien Do, Truyen Tran, Thin Nguyen, Svetha Venkatesh:
Attentional Multilabel Learning over Graphs: A Message Passing Approach. CoRR abs/1804.00293 (2018) - [i45]Hoang Thanh-Tung, Truyen Tran, Svetha Venkatesh:
On catastrophic forgetting and mode collapse in Generative Adversarial Networks. CoRR abs/1807.04015 (2018) - [i44]Hung Le, Truyen Tran, Thin Nguyen, Svetha Venkatesh:
Variational Memory Encoder-Decoder. CoRR abs/1807.09950 (2018) - [i43]Trang Pham, Truyen Tran, Svetha Venkatesh:
Relational dynamic memory networks. CoRR abs/1808.04247 (2018) - [i42]Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Svetha Venkatesh:
Hybrid Generative-Discriminative Models for Inverse Materials Design. CoRR abs/1811.06060 (2018) - [i41]Kien Do, Truyen Tran, Svetha Venkatesh:
Graph Transformation Policy Network for Chemical Reaction Prediction. CoRR abs/1812.09441 (2018) - [i40]Hoa Khanh Dam, Truyen Tran, John C. Grundy, Aditya Ghose, Yasutaka Kamei:
Towards effective AI-powered agile project management. CoRR abs/1812.10578 (2018) - 2017
- [j14]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) - [j13]Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Aditya Ghose:
Predicting the delay of issues with due dates in software projects. Empir. Softw. Eng. 22(3): 1223-1263 (2017) - [j12]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) - [j11]Shaowu Liu, Gang Li, Truyen Tran, Yuan Jiang:
Preference Relation-based Markov Random Fields for Recommender Systems. Mach. Learn. 106(4): 523-546 (2017) - [j10]Shaowu Liu, Gang Li, Truyen Tran, Yuan Jiang:
Erratum to: Preference Relation-based Markov Random Fields for Recommender Systems. Mach. Learn. 106(4): 547 (2017) - [j9]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) - [c39]Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Column Networks for Collective Classification. AAAI 2017: 2485-2491 - [c38]Phuoc Nguyen, Truyen Tran, Svetha Venkatesh:
Deep Learning to Attend to Risk in ICU. KDH@IJCAI 2017: 25-29 - [i39]Trang Pham, Truyen Tran, Svetha Venkatesh:
One Size Fits Many: Column Bundle for Multi-X Learning. CoRR abs/1702.07021 (2017) - [i38]Kien Do, Truyen Tran, Svetha Venkatesh:
Matrix-centric Neural Networks. CoRR abs/1703.01454 (2017) - [i37]Phuoc Nguyen, Truyen Tran, Svetha Venkatesh:
Deep Learning to Attend to Risk in ICU. CoRR abs/1707.05010 (2017) - [i36]Hoa Khanh Dam, Truyen Tran, Trang Pham, Shien Wee Ng, John Grundy, Aditya Ghose:
Automatic feature learning for vulnerability prediction. CoRR abs/1708.02368 (2017) - [i35]Trang Pham, Truyen Tran, Khanh Hoa Dam, Svetha Venkatesh:
Graph Classification via Deep Learning with Virtual Nodes. CoRR abs/1708.04357 (2017) - [i34]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) - [i33]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) - [i32]Phuoc Nguyen, Truyen Tran, Svetha Venkatesh:
Finding Algebraic Structure of Care in Time: A Deep Learning Approach. CoRR abs/1711.07980 (2017) - 2016
- [j8]Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Graph-induced restricted Boltzmann machines for document modeling. Inf. Sci. 328: 60-75 (2016) - [j7]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Collaborative filtering via sparse Markov random fields. Inf. Sci. 369: 221-237 (2016) - [j6]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) - [c37]Kien Do, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Outlier Detection on Mixed-Type Data: An Energy-Based Approach. ADMA 2016: 111-125 - [c36]Shivapratap Gopakumar, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Stabilizing Linear Prediction Models Using Autoencoder. ADMA 2016: 651-663 - [c35]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 - [c34]Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Faster training of very deep networks via p-norm gates. ICPR 2016: 3542-3547 - [c33]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 - [c32]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Neural Choice by Elimination via Highway Networks. PAKDD Workshops 2016: 15-25 - [c31]Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
DeepCare: A Deep Dynamic Memory Model for Predictive Medicine. PAKDD (2) 2016: 30-41 - [c30]Hoa Khanh Dam, Truyen Tran, John C. Grundy, Aditya K. Ghose:
DeepSoft: a vision for a deep model of software. SIGSOFT FSE 2016: 944-947 - [i31]Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
DeepCare: A Deep Dynamic Memory Model for Predictive Medicine. CoRR abs/1602.00357 (2016) - [i30]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Collaborative filtering via sparse Markov random fields. CoRR abs/1602.02842 (2016) - [i29]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Choice by Elimination via Deep Neural Networks. CoRR abs/1602.05285 (2016) - [i28]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Learning deep representation of multityped objects and tasks. CoRR abs/1603.01359 (2016) - [i27]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) - [i26]Phuoc Nguyen, Truyen Tran, Nilmini Wickramasinghe, Svetha Venkatesh:
Deepr: A Convolutional Net for Medical Records. CoRR abs/1607.07519 (2016) - [i25]Hoa Khanh Dam, Truyen Tran, John Grundy, Aditya K. Ghose:
DeepSoft: A vision for a deep model of software. CoRR abs/1608.00092 (2016) - [i24]Hoa Khanh Dam, Truyen Tran, Trang Pham:
A deep language model for software code. CoRR abs/1608.02715 (2016) - [i23]Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Faster Training of Very Deep Networks Via p-Norm Gates. CoRR abs/1608.03639 (2016) - [i22]Kien Do, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Outlier Detection on Mixed-Type Data: An Energy-based Approach. CoRR abs/1608.04830 (2016) - [i21]Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Trang Pham, Aditya Ghose, Tim Menzies:
A deep learning model for estimating story points. CoRR abs/1609.00489 (2016) - [i20]Trang Pham, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Column Networks for Collective Classification. CoRR abs/1609.04508 (2016) - [i19]Kien Do, Truyen Tran, Svetha Venkatesh:
Multilevel Anomaly Detection for Mixed Data. CoRR abs/1610.06249 (2016) - 2015
- [j5]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) - [j4]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) - [j3]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) - [j2]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) - [c29]Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Tensor-Variate Restricted Boltzmann Machines. AAAI 2015: 2887-2893 - [c28]Shaowu Liu, Gang Li, Truyen Tran, Yuan Jiang:
Preference Relation-based Markov Random Fields for Recommender Systems. ACML 2015: 157-172 - [c27]Morakot Choetkiertikul, Daniel Avery, Hoa Khanh Dam, Truyen Tran, Aditya K. Ghose:
Who Will Answer My Question on Stack Overflow? ASWEC 2015: 155-164 - [c26]Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Aditya Ghose:
Predicting Delays in Software Projects Using Networked Classification (T). ASE 2015: 353-364 - [c25]Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran, Aditya Ghose:
Characterization and Prediction of Issue-Related Risks in Software Projects. MSR 2015: 280-291 - [c24]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 - 2014
- [j1]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) - [c23]Shaowu Liu, Truyen Tran, Gang Li:
Ordinal Random Fields for Recommender Systems. ACML 2014 - [c22]Thin Nguyen, Dinh Q. Phung, Wei Luo, Truyen Tran, Svetha Venkatesh:
iPoll: Automatic Polling Using Online Search. WISE (1) 2014: 266-275 - [i18]Truyen Tran, Trung Thanh Nguyen, Hoang Linh Nguyen:
Global optimization using Lévy flights. CoRR abs/1407.5739 (2014) - [i17]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) - [i16]Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh:
Preference Networks: Probabilistic Models for Recommendation Systems. CoRR abs/1407.5764 (2014) - [i15]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Learning Rank Functionals: An Empirical Study. CoRR abs/1407.6089 (2014) - [i14]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) - [i13]Truyen Tran, Svetha Venkatesh:
Permutation Models for Collaborative Ranking. CoRR abs/1407.6128 (2014) - [i12]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Learning Structured Outputs from Partial Labels using Forest Ensemble. CoRR abs/1407.6432 (2014) - [i11]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Learning From Ordered Sets and Applications in Collaborative Ranking. CoRR abs/1408.0043 (2014) - [i10]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Cumulative Restricted Boltzmann Machines for Ordinal Matrix Data Analysis. CoRR abs/1408.0047 (2014) - [i9]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Thurstonian Boltzmann Machines: Learning from Multiple Inequalities. CoRR abs/1408.0055 (2014) - [i8]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Mixed-Variate Restricted Boltzmann Machines. CoRR abs/1408.1160 (2014) - [i7]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh, Hung Hai Bui:
MCMC for Hierarchical Semi-Markov Conditional Random Fields. CoRR abs/1408.1162 (2014) - [i6]Tran The Truyen, Hung Bui, Svetha Venkatesh:
Boosted Markov Networks for Activity Recognition. CoRR abs/1408.1167 (2014) - [i5]Tran The Truyen, Hung Bui, Svetha Venkatesh:
Human Activity Learning and Segmentation using Partially Hidden Discriminative Models. CoRR abs/1408.3081 (2014) - 2013
- [c21]Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Learning Parts-based Representations with Nonnegative Restricted Boltzmann Machine. ACML 2013: 133-148 - [c20]Tu Dinh Nguyen, Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Learning sparse latent representation and distance metric for image retrieval. ICME 2013: 1-6 - [c19]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Thurstonian Boltzmann Machines: Learning from Multiple Inequalities. ICML (2) 2013: 46-54 - [c18]Truyen Tran, Dinh Q. Phung, Wei Luo, Richard Harvey, Michael Berk, Svetha Venkatesh:
An integrated framework for suicide risk prediction. KDD 2013: 1410-1418 - [c17]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 - 2012
- [c16]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
A Sequential Decision Approach to Ordinal Preferences in Recommender Systems. AAAI 2012: 676-682 - [c15]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 - [c14]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Learning Boltzmann Distance Metric for Face Recognition. ICME 2012: 218-223 - [c13]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Cumulative Restricted Boltzmann Machines for Ordinal Matrix Data Analysis. ACML 2012: 411-426 - [c12]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Learning From Ordered Sets and Applications in Collaborative Ranking. ACML 2012: 427-442 - [i4]Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh:
Ordinal Boltzmann Machines for Collaborative Filtering. CoRR abs/1205.2611 (2012) - [i3]Tran The Truyen, Duc Son Pham:
ConeRANK: Ranking as Learning Generalized Inequalities. CoRR abs/1206.4110 (2012) - 2011
- [c11]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Probabilistic Models over Ordered Partitions with Applications in Document Ranking and Collaborative Filtering. SDM 2011: 426-437 - [c10]Truyen Tran, Dinh Q. Phung, Svetha Venkatesh:
Mixed-Variate Restricted Boltzmann Machines. ACML 2011: 213-229 - 2010
- [c9]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 - [c8]Thin Nguyen, Dinh Q. Phung, Brett Adams, Truyen Tran, Svetha Venkatesh:
Hyper-community detection in the blogosphere. WSM@MM 2010: 21-26 - [c7]Thin Nguyen, Dinh Q. Phung, Brett Adams, Truyen Tran, Svetha Venkatesh:
Classification and Pattern Discovery of Mood in Weblogs. PAKDD (2) 2010: 283-290 - [i2]Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh:
Probabilistic Models over Ordered Partitions with Application in Learning to Rank. CoRR abs/1009.1690 (2010) - [i1]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
- [c6]Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh:
Ordinal Boltzmann Machines for Collaborative Filtering. UAI 2009: 548-556 - 2008
- [c5]Tran The Truyen, Dinh Q. Phung, Hung Bui, Svetha Venkatesh:
Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data. NIPS 2008: 1657-1664 - [c4]Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh:
Constrained Sequence Classification for Lexical Disambiguation. PRICAI 2008: 430-441 - [c3]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 - 2007
- [c2]Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh:
Preference Networks: Probabilistic Models for Recommendation Systems. AusDM 2007: 195-202 - 2006
- [c1]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
Coauthor Index
Khanh Hoa Dam
aka: Hoa Khanh Dam
aka: Hoa Khanh Dam
Aditya Ghose
aka: Aditya K. Ghose
aka: Aditya K. Ghose
Dinh Q. Phung
aka: Dinh Quoc Phung
aka: Dinh Quoc Phung
[j14] [j12] [c39] [i34] [i33] [j8] [j7] [j6] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [i31] [i30] [i29] [i28] [i27] [i23] [i22] [i20] [j5] [j4] [j3] [j2] [c29] [c24] [j1] [c22] [i17] [i16] [i15] [i14] [i12] [i11] [i10] [i9] [i8] [i7] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [i4] [c11] [c10] [c9] [c8] [c7] [i2] [i1] [c6] [c5] [c4] [c3] [c2] [c1]
[j32] [j31] [c94] [c93] [c92] [i108] [i107] [i102] [j29] [j26] [c91] [c90] [c88] [c86] [i97] [i96] [i95] [i94] [c85] [c84] [c83] [c82] [c80] [c79] [i91] [i90] [i89] [i88] [i87] [i86] [i84] [j22] [j21] [j20] [c77] [c76] [c75] [c70] [c69] [c68] [c67] [i82] [i79] [i77] [i76] [i75] [c65] [c64] [c63] [c61] [c60] [c59] [c58] [c57] [i74] [i73] [i72] [i71] [i70] [i69] [i66] [i63] [i62] [j18] [c54] [c53] [c52] [c50] [c48] [i61] [i60] [i59] [i58] [i57] [i55] [j16] [c47] [c46] [c43] [c42] [c41] [c40] [i54] [i53] [i51] [i48] [i47] [i46] [i45] [i44] [i43] [i42] [i41] [j14] [j12] [j9] [c39] [c38] [i39] [i38] [i37] [i35] [i34] [i33] [i32] [j8] [j7] [j6] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [i31] [i30] [i29] [i28] [i27] [i26] [i23] [i22] [i20] [i19] [j5] [j4] [j3] [j2] [c29] [c24] [j1] [c22] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [i4] [c11] [c10] [c9] [c8] [c7] [i2] [i1] [c6] [c5] [c4] [c3] [c2] [c1]
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