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ORCIDMaurice Pagnucco
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- affiliation: University of New South Wales, Sydney, Australia
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2020 – today
- 2024
[j23]Cong Cong
, Sidong Liu, Priyanka Rana, Maurice Pagnucco, Antonio Di Ieva, Shlomo Berkovsky, Yang Song:
Adaptive unified contrastive learning with graph-based feature aggregator for imbalanced medical image classification. Expert Syst. Appl. 251: 123783 (2024)- [j22]Ruoyu Guo, Yiwen Xu, Anthony Tompkins, Maurice Pagnucco, Yang Song:
Multi-degradation-adaptation network for fundus image enhancement with degradation representation learning. Medical Image Anal. 97: 103273 (2024) - [j21]Lei Fan, Dongdong Fan, Yiwen Ding, Yong Wu, Hongxia Chu, Maurice Pagnucco, Yang Song:
AV4GAInsp: An Efficient Dual-Camera System for Identifying Defective Kernels of Cereal Grains. IEEE Robotics Autom. Lett. 9(1): 851-858 (2024) - [j20]Renhao Huang, Jingtao Ding, Maurice Pagnucco, Yang Song:
Fully Decoupling Trajectory and Scene Encoding for Lightweight Heatmap-Oriented Trajectory Prediction. IEEE Robotics Autom. Lett. 9(10): 9143-9150 (2024) - [j19]Junyan Wang, Yiqi Jiang, Yang Long, Xiuyu Sun, Maurice Pagnucco, Yang Song:
Deconfounding Causal Inference for Zero-Shot Action Recognition. IEEE Trans. Multim. 26: 3976-3986 (2024) - [c98]Cong Cong, Shiyu Xuan, Sidong Liu, Shiliang Zhang, Maurice Pagnucco, Yang Song:
Decoupled Optimisation for Long-Tailed Visual Recognition. AAAI 2024: 1380-1388 - [c97]Kunzi Xie, Ruoyu Guo, Cong Cong, Maurice Pagnucco, Yang Song:
Domain Generalised Cell Nuclei Segmentation in Histopathology Images Using Domain-Aware Curriculum Learning and Colour-Perceived Meta Learning. ECAI 2024: 354-361 - [c96]Raynaldio Limarga, Yang Song, Abhaya Nayak, David Rajaratnam, Maurice Pagnucco:
Formalisation and Evaluation of Properties for Consequentialist Machine Ethics. IJCAI 2024: 440-448 - [c95]Jingying Gao, Alan Blair, Maurice Pagnucco:
Explainable Visual Question Answering via Hybrid Neural-Logical Reasoning. IJCNN 2024: 1-10 - [c94]Zhan Heng, Maurice Pagnucco, Erik Meijering, Yang Song:
Vascular Topology Rectification Network for Automated Retinal Artery/Vein Segmentation. ISBI 2024: 1-4 - [c93]Shenghui Yan, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Yang Song:
Meta-Transfer Learning for Few-Shot Meningioma Segmentation. ISBI 2024: 1-4 - [c92]Ali Ghadiri, Maurice Pagnucco, Yang Song:
XTranPrune: eXplainability-Aware Transformer Pruning for Bias Mitigation in Dermatological Disease Classification. MICCAI (10) 2024: 749-758 - [c91]Bethia Sun, Maurice Pagnucco, Yang Song:
Fully Distributed, Flexible Compositional Visual Representations via Soft Tensor Products. NeurIPS 2024 - [e3]Pierre Marquis, Magdalena Ortiz, Maurice Pagnucco:
Proceedings of the 21st International Conference on Principles of Knowledge Representation and Reasoning, KR 2024, Hanoi, Vietnam. November 2-8, 2024. 2024, ISBN 978-1-956792-05-8 [contents] - [i15]Lei Fan, Yiwen Ding, Dongdong Fan, Yong Wu, Hongxia Chu, Maurice Pagnucco, Yang Song:
An annotated grain kernel image database for visual quality inspection. CoRR abs/2401.08599 (2024) - [i14]Cong Cong, Shiyu Xuan, Sidong Liu, Maurice Pagnucco, Shiliang Zhang, Yang Song:
Dataset Distillation for Histopathology Image Classification. CoRR abs/2408.09709 (2024) - [i13]Bethia Sun, Maurice Pagnucco, Yang Song:
Soft Tensor Product Representations for Fully Continuous, Compositional Visual Representations. CoRR abs/2412.04671 (2024) - [i12]Lei Fan, Junjie Huang, Donglin Di, Anyang Su, Maurice Pagnucco, Yang Song:
Revitalizing Reconstruction Models for Multi-class Anomaly Detection via Class-Aware Contrastive Learning. CoRR abs/2412.04769 (2024) - [i11]Lei Fan, Dongdong Fan, Zhiguang Hu, Yiwen Ding, Donglin Di, Kai Yi, Maurice Pagnucco, Yang Song:
MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects. CoRR abs/2412.04867 (2024) - 2023
- [j18]Yiwen Xu, Maurice Pagnucco, Yang Song:
An edge guided coarse-to-fine generative network for image outpainting. Neurocomputing 541: 126254 (2023) - [j17]Ruoyu Guo, Kunzi Xie, Maurice Pagnucco, Yang Song:
SAC-Net: Learning with weak and noisy labels in histopathology image segmentation. Medical Image Anal. 86: 102790 (2023) - [j16]Zhichao Yang, Cong Cong, Maurice Pagnucco, Yang Song:
Multi-scale multi-reception attention network for bone age assessment in X-ray images. Neural Networks 158: 249-257 (2023) - [j15]Gwendolyn Foo, Sami Kara, Maurice Pagnucco:
Artificial Learning for Part Identification in Robotic Disassembly Through Automatic Rule Generation in an Ontology. IEEE Trans Autom. Sci. Eng. 20(1): 296-309 (2023) - [j14]Wenbin Wang, Maurice Pagnucco, Chengpei Xu, Yang Song:
InterREC: An Interpretable Method for Referring Expression Comprehension. IEEE Trans. Multim. 25: 9330-9342 (2023) - [c90]Raynaldio Limarga, Yang Song, Maurice Pagnucco, David Rajaratnam:
Epistemic Reasoning in Computational Machine Ethics. AI (2) 2023: 82-94 - [c89]Renhao Huang, Anthony Tompkins, Maurice Pagnucco, Yang Song:
Towards Single Source Domain Generalisation in Trajectory Prediction: A Motion Prior based Approach. CoLLAs 2023: 227-243 - [c88]Shenyang Qian, Maurice Pagnucco, Yang Song:
Adaptive Local Prototype and Cycle Attention for Few-shot Medical Image Segmentation. DICTA 2023: 49-56 - [c87]Lei Fan, Yiwen Ding, Dongdong Fan, Yong Wu, Maurice Pagnucco, Yang Song:
Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection. ECAI 2023: 660-667 - [c86]Junyan Wang, Zhenhong Sun, Yichen Qian, Dong Gong, Xiuyu Sun, Ming C. Lin, Maurice Pagnucco, Yang Song:
Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition. ICLR 2023 - [c85]Jingying Gao, Alan Blair, Maurice Pagnucco:
A Symbolic-Neural Reasoning Model for Visual Question Answering. IJCNN 2023: 1-9 - [c84]Fan Wan, Junyan Wang, Haoran Duan, Yang Song, Maurice Pagnucco, Yang Long:
Community-Aware Federated Video Summarization. IJCNN 2023: 1-8 - [c83]Renhao Huang, Maurice Pagnucco, Yang Song:
HyperTraj: Towards Simple and Fast Scene-Compliant Endpoint Conditioned Trajectory Prediction. IROS 2023: 3208-3213 - [c82]Yongze Wang, Maurice Pagnucco, Yang Song:
Self-training with Domain-Mixed Data for Few-Shot Domain Adaptation in Medical Image Segmentation Tasks. MLMI@MICCAI (1) 2023: 299-309 - [c81]Yiwen Xu, Ruoyu Guo, Maurice Pagnucco, Yang Song:
Draw2Edit: Mask-Free Sketch-Guided Image Manipulation. ACM Multimedia 2023: 7205-7215 - [c80]Jingying Gao, Qi Wu, Alan Blair, Maurice Pagnucco:
LoRA: A Logical Reasoning Augmented Dataset for Visual Question Answering. NeurIPS 2023 - [i10]Renhao Huang, Hao Xue, Maurice Pagnucco, Flora D. Salim, Yang Song:
Multimodal Trajectory Prediction: A Survey. CoRR abs/2302.10463 (2023) - [i9]Junyan Wang, Zhenhong Sun, Yichen Qian, Dong Gong, Xiuyu Sun, Ming C. Lin, Maurice Pagnucco, Yang Song:
Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition. CoRR abs/2303.02693 (2023) - [i8]Bernhard Hengst, Maurice Pagnucco, David Rajaratnam, Claude Sammut, Michael Thielscher:
Online Learning and Planning in Cognitive Hierarchies. CoRR abs/2310.12386 (2023) - [i7]Lei Fan, Yiwen Ding, Dongdong Fan, Yong Wu, Maurice Pagnucco, Yang Song:
Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection. CoRR abs/2311.11901 (2023) - [i6]Haoran Fan, Qi Fan, Maurice Pagnucco, Yang Song:
DARNet: Bridging Domain Gaps in Cross-Domain Few-Shot Segmentation with Dynamic Adaptation. CoRR abs/2312.04813 (2023) - 2022
- [j13]Cong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song:
Colour adaptive generative networks for stain normalisation of histopathology images. Medical Image Anal. 82: 102580 (2022) - [c79]Yiwen Xu, Maurice Pagnucco, Yang Song:
DHG-GAN: Diverse Image Outpainting via Decoupled High Frequency Semantics. ACCV (7) 2022: 168-184 - [c78]Junyan Wang, Likun Qin, Peng Zhang, Yang Long, Bingzhang Hu, Maurice Pagnucco, Shizheng Wang, Yang Song:
Towards Unified Multi-Excitation for Unsupervised Video Prediction. BMVC 2022: 587 - [c77]Lihuan Li, Maurice Pagnucco, Yang Song:
Graph-based Spatial Transformer with Memory Replay for Multi-future Pedestrian Trajectory Prediction. CVPR 2022: 2221-2231 - [c76]Lei Fan, Yiwen Ding, Dongdong Fan, Donglin Di, Maurice Pagnucco, Yang Song:
GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive Recognition of Cereal Grains. CVPR 2022: 21084-21093 - [c75]James P. Delgrande, Joshua Sack, Gerhard Lakemeyer, Maurice Pagnucco:
Epistemic Logic of Likelihood and Belief. IJCAI 2022: 2599-2605 - [c74]Peibo Li, Yixing Yang, Maurice Pagnucco, Yang Song:
CoGNet: Cooperative Graph Neural Networks. IJCNN 2022: 1-8 - [c73]Cong Cong, Yixing Yang, Sidong Liu, Maurice Pagnucco, Yang Song:
Imbalanced Histopathology Image Classification Using Deep Feature Graph Attention Network. ISBI 2022: 1-4 - [c72]Shichen Luo, Zhan Heng, Maurice Pagnucco, Yang Song:
Two-Stage Topological Refinement Network for Retinal Artery/Vein Classification. ISBI 2022: 1-4 - [c71]Kunzi Xie, Yixing Yang, Maurice Pagnucco, Yang Song:
Electron Microscope Image Registration Using Laplacian Sharpening Transformer U-Net. MICCAI (6) 2022: 310-319 - [c70]Cong Cong, Yixing Yang, Sidong Liu, Maurice Pagnucco, Antonio Di Ieva, Shlomo Berkovsky, Yang Song:
Adaptive Unified Contrastive Learning for Imbalanced Classification. MLMI@MICCAI 2022: 348-357 - [i5]Lei Fan, Yiwen Ding, Dongdong Fan, Donglin Di, Maurice Pagnucco, Yang Song:
GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive Recognition of Cereal Grains. CoRR abs/2203.05306 (2022) - [i4]Peibo Li, Yixing Yang, Maurice Pagnucco, Yang Song:
Explainability in Graph Neural Networks: An Experimental Survey. CoRR abs/2203.09258 (2022) - [i3]Lihuan Li, Maurice Pagnucco, Yang Song:
Graph-based Spatial Transformer with Memory Replay for Multi-future Pedestrian Trajectory Prediction. CoRR abs/2206.05712 (2022) - 2021
- [j12]Gwendolyn Foo, Sami Kara, Maurice Pagnucco:
An Ontology-Based Method for Semi-Automatic Disassembly of LCD Monitors and Unexpected Product Types. Int. J. Autom. Technol. 15(2): 168-181 (2021) - [j11]Wei Hua Chen, Gwendolyn Foo, Sami Kara, Maurice Pagnucco:
Automated generation and execution of disassembly actions. Robotics Comput. Integr. Manuf. 68: 102056 (2021) - [c69]Maurice Pagnucco, David Rajaratnam, Raynaldio Limarga, Abhaya Nayak, Yang Song:
Epistemic Reasoning for Machine Ethics with Situation Calculus. AIES 2021: 814-821 - [c68]Junyan Wang, Yang Long, Maurice Pagnucco, Yang Song:
Dynamic Graph Warping Transformer for Video Alignment. BMVC 2021: 289 - [c67]Han Lin, Maurice Pagnucco, Yang Song:
Edge Guided Progressively Generative Image Outpainting. CVPR Workshops 2021: 806-815 - [c66]Cong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song:
Texture Enhanced Generative Adversarial Network For Stain Normalisation In Histopathology Images. ISBI 2021: 1949-1952 - [c65]Ruoyu Guo, Maurice Pagnucco, Yang Song:
Learning with Noise: Mask-Guided Attention Model for Weakly Supervised Nuclei Segmentation. MICCAI (2) 2021: 461-470 - [c64]Cong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song:
Semi-supervised Adversarial Learning for Stain Normalisation in Histopathology Images. MICCAI (8) 2021: 581-591 - [c63]Yang Bai, Junyan Wang, Yang Long, Bingzhang Hu, Yang Song, Maurice Pagnucco, Yu Guan:
Discriminative Latent Semantic Graph for Video Captioning. ACM Multimedia 2021: 3556-3564 - [i2]Yang Bai, Junyan Wang, Yang Long, Bingzhang Hu, Yang Song, Maurice Pagnucco, Yu Guan:
Discriminative Latent Semantic Graph for Video Captioning. CoRR abs/2108.03662 (2021) - 2020
- [c62]Raynaldio Limarga, Maurice Pagnucco, Yang Song, Abhaya Nayak:
Non-monotonic Reasoning for Machine Ethics with Situation Calculus. Australasian Conference on Artificial Intelligence 2020: 203-215 - [c61]Renhao Huang, Yang Song, Maurice Pagnucco:
An Improved Discriminator for GAN-Based Trajectory Prediction Models. DICTA 2020: 1-3 - [c60]Cong Cong, Zhichao Yang, Yang Song, Maurice Pagnucco:
Towards Enforcing Social Distancing Regulations with Occlusion-Aware Crowd Detection. ICARCV 2020: 297-302
2010 – 2019
- 2019
- [j10]Mohsen Rezvani, David Rajaratnam, Aleksandar Ignjatovic, Maurice Pagnucco, Sanjay Jha:
Analyzing XACML policies using answer set programming. Int. J. Inf. Sec. 18(4): 465-479 (2019) - [c59]Christoph Schwering, Maurice Pagnucco:
A Representation Theorem for Reasoning in First-Order Multi-Agent Knowledge Bases. AAMAS 2019: 926-934 - [c58]Bernhard Hengst, Maurice Pagnucco, David Rajaratnam, Claude Sammut, Michael Thielscher:
Perceptual Context in Cognitive Hierarchies. Description Logic, Theory Combination, and All That 2019: 352-366 - [c57]Anna A. Trofimova, Timothy Wiley, Maurice Pagnucco, Mari Velonaki:
Exploring Human Machine-Mediated Interaction for Applications in Social HRI. OZCHI 2019: 347-351 - 2018
- [i1]Bernhard Hengst, Maurice Pagnucco, David Rajaratnam, Claude Sammut, Michael Thielscher:
Perceptual Context in Cognitive Hierarchies. CoRR abs/1801.02270 (2018) - 2017
- [j9]Christoph Schwering, Gerhard Lakemeyer, Maurice Pagnucco:
Belief revision and projection in the epistemic situation calculus. Artif. Intell. 251: 62-97 (2017) - [j8]Zhiqiang Zhuang, Maurice Pagnucco, Yan Zhang:
Inter-Definability of Horn Contraction and Horn Revision. J. Philos. Log. 46(3): 299-332 (2017) - 2016
- [j7]Supachai Vongbunyong, Maurice Pagnucco, Sami Kara:
Vision-Based Execution Monitoring of State Transition in Disassembly Automation. Int. J. Autom. Technol. 10(5): 708-716 (2016) - [c56]David Rajaratnam, Bernhard Hengst, Maurice Pagnucco, Claude Sammut, Michael Thielscher:
Composability in Cognitive Hierarchies. Australasian Conference on Artificial Intelligence 2016: 42-55 - [c55]Keith Clark, Bernhard Hengst, Maurice Pagnucco, David Rajaratnam, Peter Robinson, Claude Sammut, Michael Thielscher:
A Framework for Integrating Symbolic and Sub-Symbolic Representations. IJCAI 2016: 2486-2492 - [c54]Mohsen Rezvani, Aleksandar Ignjatovic, Maurice Pagnucco, Sanjay K. Jha:
Anomaly-free policy composition in software-defined networks. Networking 2016: 28-36 - 2015
- [c53]Sean Harris, Bernhard Hengst, Maurice Pagnucco:
Termination Approximation: Continuous State Decomposition for Hierarchical Reinforcement Learning. AAAI Workshop: Knowledge, Skill, and Behavior Transfer in Autonomous Robots 2015 - [c52]Supachai Vongbunyong, Sami Kara, Maurice Pagnucco:
General plans for removing main components in cognitive robotic disassembly automation. ICARA 2015: 501-506 - [c51]Christoph Schwering, Gerhard Lakemeyer, Maurice Pagnucco:
Belief Revision and Progression of Knowledge Bases in the Epistemic Situation Calculus. IJCAI 2015: 3214-3220 - [c50]Brad Hall, Sean Harris, Bernhard Hengst, Roger Liu, Kenneth Ng, Maurice Pagnucco, Luke Pearson, Claude Sammut, Peter Schmidt:
RoboCup SPL 2015 Champion Team Paper. RoboCup 2015: 72-82 - 2014
- [j6]Zhiqiang Zhuang, Maurice Pagnucco:
Entrenchment-Based Horn Contraction. J. Artif. Intell. Res. 51: 227-254 (2014) - [c49]Jennifer Elisabeth Buehler, Maurice Pagnucco:
A Framework for Task Planning in Heterogeneous Multi Robot Systems Based on Robot Capabilities. AAAI 2014: 2527-2533 - [c48]Bradford Heap, Maurice Pagnucco:
Minimising Undesired Task Costs in Multi-Robot Task Allocation Problems with In-Schedule Dependencies. AAAI 2014: 2542-2548 - [c47]Jennifer Elisabeth Buehler, Maurice Pagnucco:
Planning and Execution of Robot Tasks Based on a Platform-Independent Model of Robot Capabilities. ECAI 2014: 171-176 - [c46]David Rajaratnam, Hector J. Levesque, Maurice Pagnucco, Michael Thielscher:
Forgetting in Action. KR 2014 - [c45]Jayen Ashar, Jaiden Ashmore, Brad Hall, Sean Harris, Bernhard Hengst, Roger Liu, Jacky Zijie Mei, Maurice Pagnucco, Ritwik Roy, Claude Sammut, Oleg O. Sushkov, Belinda Teh, Luke Tsekouras:
RoboCup SPL 2014 Champion Team Paper. RoboCup 2014: 70-81 - 2013
- [c44]Zhi Qiang Zhuang, Maurice Pagnucco, Yan Zhang:
Definability of Horn Revision from Horn Contraction. IJCAI 2013: 1205-1212 - [c43]Maurice Pagnucco, David Rajaratnam, Hannes Strass, Michael Thielscher:
Implementing Belief Change in the Situation Calculus and an Application. LPNMR 2013: 439-451 - [c42]Bradford Heap, Maurice Pagnucco:
Repeated Sequential Single-Cluster Auctions with Dynamic Tasks for Multi-Robot Task Allocation with Pickup and Delivery. MATES 2013: 87-100 - [c41]Bradford Heap, Maurice Pagnucco:
Repeated Auctions for Reallocation of Tasks with Pickup and Delivery upon Robot Failure. PRIMA 2013: 461-469 - 2012
- [c40]Bradford Gregory John Heap, Maurice Pagnucco:
Repeated Sequential Auctions with Dynamic Task Clusters. AAAI 2012: 1997-2002 - [c39]Bradford Heap, Maurice Pagnucco:
Analysis of Cluster Formation Techniques for Multi-robot Task Allocation Using Sequential Single-Cluster Auctions. Australasian Conference on Artificial Intelligence 2012: 839-850 - [c38]Zhi Qiang Zhuang, Maurice Pagnucco:
Model Based Horn Contraction. KR 2012 - [e2]Wolfram Burgard, Kurt Konolige, Maurice Pagnucco, Stavros Vassos:
Cognitive Robotics, Papers from the 2012 AAAI Workshop, CogRob@AAAI 2012, Toronto, Ontario, Canada, July 22-23, 2012. AAAI Technical Report WS-12-06, AAAI Press 2012 [contents] - 2011
- [j5]Steven Shapiro, Maurice Pagnucco, Yves Lespérance, Hector J. Levesque:
Iterated belief change in the situation calculus. Artif. Intell. 175(1): 165-192 (2011) - [c37]Maurice Pagnucco, David Rajaratnam, Hannes Strass, Michael Thielscher:
How to Plan When Being Deliberately Misled. Automated Action Planning for Autonomous Mobile Robots 2011 - [c36]Bradford Heap, Maurice Pagnucco:
Sequential Single-Cluster Auctions for Robot Task Allocation. Australasian Conference on Artificial Intelligence 2011: 412-421 - [c35]David Rajaratnam, Maurice Pagnucco:
From Approximate Clausal Reasoning to Problem Hardness. Australasian Conference on Artificial Intelligence 2011: 501-510 - [c34]Timothy Joseph Cerexhe, Maurice Pagnucco:
Executability in the Situation Calculus. Australasian Conference on Artificial Intelligence 2011: 677-686 - [c33]Zhi Qiang Zhuang, Maurice Pagnucco:
Transitively Relational Partial Meet Horn Contraction. IJCAI 2011: 1132-1138 - 2010
- [c32]Zhi Qiang Zhuang, Maurice Pagnucco:
Two Methods for Constructing Horn Contractions. Australasian Conference on Artificial Intelligence 2010: 72-81 - [c31]Adrian Schoenig, Maurice Pagnucco:
Evaluating Sequential Single-Item Auctions for Dynamic Task Allocation. Australasian Conference on Artificial Intelligence 2010: 506-515 - [c30]Zhi Qiang Zhuang, Maurice Pagnucco:
Horn Contraction via Epistemic Entrenchment. JELIA 2010: 339-351
2000 – 2009
- 2009
- [c29]Zhi Qiang Zhuang, Maurice Pagnucco:
Belief Contraction in the Description Logic EL. Description Logics 2009 - [c28]Thomas Ströder, Maurice Pagnucco:
Realising Deterministic Behavior from Multiple Non-Deterministic Behaviors. IJCAI 2009: 936-941 - 2008
- [c27]Gil Chamiel, Maurice Pagnucco:
Exploiting Ontological Structure for Complex Preference Assembly. Australasian Conference on Artificial Intelligence 2008: 86-92 - 2007
- [c26]Zhi Qiang Zhuang, Maurice Pagnucco, Thomas Meyer:
Implementing Iterated Belief Change Via Prime Implicates. Australian Conference on Artificial Intelligence 2007: 507-518 - [c25]David Rajaratnam, Maurice Pagnucco:
Prime Implicates for Approximate Reasoning. KSEM 2007: 61-72 - 2006
- [c24]Maurice Pagnucco:
Knowledge Compilation for Belief Change. Australian Conference on Artificial Intelligence 2006: 90-99 - 2005
- [j4]James P. Delgrande, Abhaya C. Nayak, Maurice Pagnucco:
Gricean Belief Change. Stud Logica 79(1): 97-113 (2005) - [c23]Maurice Pagnucco, David Rajaratnam:
Inverse Resolution as Belief Change. IJCAI 2005: 540-545 - 2004
- [c22]James P. Delgrande, Abhaya C. Nayak, Maurice Pagnucco:
Conservative Belief Revision. AAAI 2004: 251-256 - [c21]Victor Jauregui, Maurice Pagnucco, Norman Y. Foo:
Simplicity in Solving the Frame Problem. ECAI 2004: 640-646 - [c20]Steven Shapiro, Maurice Pagnucco:
Iterated Belief Change and Exogeneous Actions in the Situation Calculus. ECAI 2004: 878-882 - [c19]Victor Jauregui, Maurice Pagnucco, Norman Y. Foo:
On the Intended Interpretations of Actions. PRICAI 2004: 13-22 - 2003
- [j3]Abhaya C. Nayak, Maurice Pagnucco, Pavlos Peppas:
Dynamic belief revision operators. Artif. Intell. 146(2): 193-228 (2003) - [c18]James P. Delgrande, Abhaya C. Nayak, Maurice Pagnucco:
Prolegomenon to a Theory of Conservative Belief Revision. IJCAI 2003: 1391-1393 - 2001
- [j2]Victor Jauregui, Norman Y. Foo, Maurice Pagnucco:
A Trajectory Approach to Causality. Stud Logica 67(3): 385-401 (2001) - [c17]Norman Y. Foo, Abhaya C. Nayak, Maurice Pagnucco, Dongmo Zhang:
State Minimization Re-visited. Australian Joint Conference on Artificial Intelligence 2001: 153-164 - [c16]Maurice Pagnucco, Pavlos Peppas:
Causality and Minimal Change Demystified. IJCAI 2001: 125-130 - 2000
- [c15]Steven Shapiro, Maurice Pagnucco, Yves Lespérance, Hector J. Levesque:
Iterated Belief Change in the Situation Calculus. KR 2000: 527-538 - [c14]Mikhail Prokopenko, Maurice Pagnucco, Pavlos Peppas, Abhaya C. Nayak:
A Unifying Semantics for Causal Ramifications. PRICAI 2000: 38-49
1990 – 1999
- 1999
- [j1]Hans Rott, Maurice Pagnucco:
Severe Withdrawal (and Recovery). J. Philos. Log. 28(5): 501-547 (1999) - [c13]Mikhail Prokopenko, Maurice Pagnucco, Pavlos Peppas, Abhaya C. Nayak:
Causal Propagation Semantics - A Study. Australian Joint Conference on Artificial Intelligence 1999: 378-392 - [c12]Victor Jauregui, Maurice Pagnucco, Norman Y. Foo:
A Trajectory Approach to Causality. Australian Joint Conference on Artificial Intelligence 1999: 484-485 - [c11]Pavlos Peppas, Maurice Pagnucco, Mikhail Prokopenko, Norman Y. Foo, Abhaya C. Nayak:
Preferential Semantics for Causal Systems. IJCAI 1999: 118-123 - [c10]Norman Y. Foo, Maurice Pagnucco, Abhaya C. Nayak:
Diagrammatic Proofs. IJCAI 1999: 378-383 - 1998
- [e1]Wayne Wobcke, Maurice Pagnucco, Chengqi Zhang:
Agents and Multi-Agent Systems Formalisms, Methodologies, and Applications, Based on the AI'97 Workshops on Commonsense Reasoning, Intelligent Agents, and Distributed Artificial Intelligence, Perth, Australia, December 1, 1997. Lecture Notes in Computer Science 1441, Springer 1998, ISBN 3-540-64769-4 [contents] - 1997
- [c9]Pavlos Peppas, Maurice Pagnucco, Mikhail Prokopenko, Norman Y. Foo:
Preferential Semantics for Causal Fixpoints. Australian Joint Conference on Artificial Intelligence 1997: 197-206 - [c8]Norman Y. Foo, Abhaya C. Nayak, Maurice Pagnucco, Pavlos Peppas, Yan Zhang:
Action Localness, Genericity and Invariants in STRIPS. IJCAI (1) 1997: 549-554 - 1996
- [c7]Norman Y. Foo, Abhaya C. Nayak, Maurice Pagnucco:
Definitional Constraints. ECAI 1996: 65-69 - [c6]Abhaya C. Nayak, Maurice Pagnucco, Norman Y. Foo, Pavlos Peppas:
Learning From Conditionals: Judy Benjamin's Other Problems. ECAI 1996: 75-79 - [c5]Pavlos Peppas, Abhaya C. Nayak, Maurice Pagnucco, Norman Y. Foo, Rex Bing Hung Kwok, Mikhail Prokopenko:
Revision vs. Update: Taking a Closer Look. ECAI 1996: 95-99 - [c4]Abhaya C. Nayak, Norman Y. Foo, Maurice Pagnucco, Abdul Sattar:
Changing Conditional Belief Unconditionally. TARK 1996: 119-135 - 1995
- [c3]Maurice Pagnucco, Abhaya C. Nayak, Norman Y. Foo:
Abductive Reasoning, Belief Expansion and Nonmonotonic Cesequence. Deductive Databases / Abduction in Deductive Databases 1995: 143-158 - [c2]Mary-Anne Williams, Maurice Pagnucco, Norman Y. Foo, Brailey Sims:
Determining Explanations using Transmutations. IJCAI (1) 1995: 822-829 - 1993
- [c1]Maurice Pagnucco, Norman Y. Foo:
Inverting Resolution with Conceptual Graphs. ICCS 1993: 238-253
Coauthor Index
Abhaya C. Nayak
aka: Abhaya Nayak
aka: Abhaya Nayak
[j23] [j22] [j21] [j20] [j19] [c98] [c97] [c96] [c94] [c93] [c92] [c91] [i15] [i14] [i13] [i12] [i11] [j18] [j17] [j16] [j14] [c90] [c89] [c88] [c87] [c86] [c84] [c83] [c82] [c81] [i10] [i9] [i7] [i6] [j13] [c79] [c78] [c77] [c76] [c74] [c73] [c72] [c71] [c70] [i5] [i4] [i3] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [i2] [c62] [c61] [c60]
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last updated on 2025-02-15 01:19 CET by the dblp team
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