Maurice Pagnucco

166 papers A* 35A 13B 12C 5Misc 4Journal 51Unranked 44

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Curvi-Tracker: Curvilinear structure segmentation refinement by iterative tracking. Pattern Recognit. Zhan Heng, Maurice Pagnucco, Erik Meijering, Yang Song
2026	J	`jnl`	FAIRT2V: Training-Free Debiasing for Text-to-Video Diffusion Models. CoRR Haonan Zhong, Wei Song, Tingxu Han, Maurice Pagnucco, Jingling Xue, Yang Song
2026	A*	`conf`	Principles2Plan: LLM-Guided System for Operationalising Ethical Principles into Plans. AAAI Tammy Zhong, Yang Song, Maurice Pagnucco
2026	J	`jnl`	Reinforcement Learning for Follow-the-Leader Robotic Endoscopic Navigation via Synthetic Data. CoRR Sicong Gao, Chen Qian, Laurence Xian, Liao Wu, Maurice Pagnucco, Yang Song
2025	A*	`conf`	Belief Revision in a Probabilistic Setting. KR James P. Delgrande, Gerhard Lakemeyer, Maurice Pagnucco, Joshua Sack
2025	J	`jnl`	Computational Machine Ethics: A Survey. J. Artif. Intell. Res. Tammy Zhong, Yang Song, Raynaldio Limarga, Maurice Pagnucco
2025	—	`conf`	Concept Control for LLM Safety Using Radial Basis Function Representations. AI (1) Mark Amos, Yang Song, Maurice Pagnucco
2025	J	`jnl`	Exploring Multi-Feature Relationship in Retinex Decomposition for Low-Light Image Enhancement. IEEE Trans. Multim. Ruoyu Guo, Maurice Pagnucco, Yang Song
2025	—	`conf`	Generation of Ethical Rules Using Large Language Models. AI (1) Tammy Zhong, Yang Song, Maurice Pagnucco
2025	J	`jnl`	GrainBrain: Multiview Identification and Stratification of Defective Grain Kernels. IEEE Trans. Ind. Informatics Lei Fan, Dongdong Fan, Yiwen Ding, Yong Wu, Donglin Di, Maurice Pagnucco, Yang Song
2025	A*	`conf`	Interpretable Image Classification via Non-parametric Part Prototype Learning. CVPR Zhijie Zhu, Lei Fan, Maurice Pagnucco, Yang Song
2025	J	`jnl`	Interpretable Image Classification via Non-parametric Part Prototype Learning. CoRR Zhijie Zhu, Lei Fan, Maurice Pagnucco, Yang Song
2025	—	`conf`	Location-Aware Parameter Fine-Tuning for Multimodal Image Segmentation. MICCAI (1) Sicong Gao, Maurice Pagnucco, Yang Song
2025	A*	`conf`	MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects. CVPR Lei Fan, Dongdong Fan, Zhiguang Hu, Yiwen Ding, Donglin Di, Kai Yi, Maurice Pagnucco, Yang Song
2025	—	`conf`	Multimodal Weakly Supervised Segmentation for Histopathology. ISBI Sicong Gao, Matthew AB Baker, Maurice Pagnucco, Yang Song
2025	J	`jnl`	Principles2Plan: LLM-Guided System for Operationalising Ethical Principles into Plans. CoRR Tammy Zhong, Yang Song, Maurice Pagnucco
2025	A*	`conf`	Prototype-Based Image Prompting for Weakly Supervised Histopathological Image Segmentation. CVPR Qingchen Tang, Lei Fan, Maurice Pagnucco, Yang Song
2025	J	`jnl`	Prototype-Based Image Prompting for Weakly Supervised Histopathological Image Segmentation. CoRR Qingchen Tang, Lei Fan, Maurice Pagnucco, Yang Song
2025	B	`conf`	Source-free Few-shot Segmentation for Rarer Brain Tumors. IJCNN Shenghui Yan, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Yang Song
2025	A	`conf`	Structure based SAT dataset for analysing GNN generalisation. AISTATS Yi Fu, Anthony Tompkins, Yang Song, Maurice Pagnucco
2025	J	`jnl`	Structure based SAT dataset for analysing GNN generalisation. CoRR Yi Fu, Anthony Tompkins, Yang Song, Maurice Pagnucco
2025	A*	`conf`	SynerGuard: A Robust Framework for Point Cloud Classification via Local Geometry and Spatial Topology. ICRA Haonan Zhong, Wei Song, Maurice Pagnucco, Yang Song
2025	—	`conf`	Temporal Alignment of Time Sensitive Facts with Activation Engineering. EMNLP (Findings) Sanjay Govindan, Maurice Pagnucco, Yang Song
2025	J	`jnl`	Temporal Alignment of Time Sensitive Facts with Activation Engineering. CoRR Sanjay Govindan, Maurice Pagnucco, Yang Song
2025	J	`jnl`	Unsupervised domain adaptation with multi-level distillation boost and adaptive mask for medical image segmentation. Comput. Biol. Medicine Yongze Wang, Lei Fan, Maurice Pagnucco, Yang Song
2025	J	`jnl`	Vision-Based Multi-Future Trajectory Prediction: A Survey. IEEE Trans. Neural Networks Learn. Syst. Renhao Huang, Hao Xue, Maurice Pagnucco, Flora D. Salim, Yang Song
2024	J	`jnl`	AV4GAInsp: An Efficient Dual-Camera System for Identifying Defective Kernels of Cereal Grains. IEEE Robotics Autom. Lett. Lei Fan, Dongdong Fan, Yiwen Ding, Yong Wu, Hongxia Chu, Maurice Pagnucco, Yang Song
2024	J	`jnl`	Adaptive unified contrastive learning with graph-based feature aggregator for imbalanced medical image classification. Expert Syst. Appl. Cong Cong, Sidong Liu, Priyanka Rana, Maurice Pagnucco, Antonio Di Ieva, Shlomo Berkovsky, Yang Song
2024	J	`jnl`	An annotated grain kernel image database for visual quality inspection. CoRR Lei Fan, Yiwen Ding, Dongdong Fan, Yong Wu, Hongxia Chu, Maurice Pagnucco, Yang Song
2024	J	`jnl`	Dataset Distillation for Histopathology Image Classification. CoRR Cong Cong, Shiyu Xuan, Sidong Liu, Maurice Pagnucco, Shiliang Zhang, Yang Song
2024	J	`jnl`	Deconfounding Causal Inference for Zero-Shot Action Recognition. IEEE Trans. Multim. Junyan Wang, Yiqi Jiang, Yang Long, Xiuyu Sun, Maurice Pagnucco, Yang Song
2024	A*	`conf`	Decoupled Optimisation for Long-Tailed Visual Recognition. AAAI Cong Cong, Shiyu Xuan, Sidong Liu, Shiliang Zhang, Maurice Pagnucco, Yang Song
2024	A	`conf`	Domain Generalised Cell Nuclei Segmentation in Histopathology Images Using Domain-Aware Curriculum Learning and Colour-Perceived Meta Learning. ECAI Kunzi Xie, Ruoyu Guo, Cong Cong, Maurice Pagnucco, Yang Song
2024	—	`conf`	Enriching Degradation Features for Fundus Image Enhancement via Multi-colour Dynamic Filter Network. ICONIP (8) Ruoyu Guo, Maurice Pagnucco, Yang Song
2024	B	`conf`	Explainable Visual Question Answering via Hybrid Neural-Logical Reasoning. IJCNN JingYing Gao, Alan Blair, Maurice Pagnucco
2024	A*	`conf`	Formalisation and Evaluation of Properties for Consequentialist Machine Ethics. IJCAI Raynaldio Limarga, Yang Song, Abhaya Nayak, David Rajaratnam, Maurice Pagnucco
2024	J	`jnl`	Fully Decoupling Trajectory and Scene Encoding for Lightweight Heatmap-Oriented Trajectory Prediction. IEEE Robotics Autom. Lett. Renhao Huang, Jingtao Ding, Maurice Pagnucco, Yang Song
2024	A*	`conf`	Fully Distributed, Flexible Compositional Visual Representations via Soft Tensor Products. NeurIPS Bethia Sun, Maurice Pagnucco, Yang Song
2024	J	`jnl`	MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects. CoRR Lei Fan, Dongdong Fan, Zhiguang Hu, Yiwen Ding, Donglin Di, Kai Yi, Maurice Pagnucco, Yang Song
2024	—	`conf`	Meta-Transfer Learning for Few-Shot Meningioma Segmentation. ISBI Shenghui Yan, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Yang Song
2024	J	`jnl`	Multi-degradation-adaptation network for fundus image enhancement with degradation representation learning. Medical Image Anal. Ruoyu Guo, Yiwen Xu, Anthony Tompkins, Maurice Pagnucco, Yang Song
2024	A*	`ed.`	Proceedings of the 21st International Conference on Principles of Knowledge Representation and Reasoning, KR 2024, Hanoi, Vietnam. November 2-8, 2024. KR Pierre Marquis, Magdalena Ortiz, Maurice Pagnucco
2024	J	`jnl`	Revitalizing Reconstruction Models for Multi-class Anomaly Detection via Class-Aware Contrastive Learning. CoRR Lei Fan, Junjie Huang, Donglin Di, Anyang Su, Maurice Pagnucco, Yang Song
2024	J	`jnl`	Soft Tensor Product Representations for Fully Continuous, Compositional Visual Representations. CoRR Bethia Sun, Maurice Pagnucco, Yang Song
2024	—	`conf`	Vascular Topology Rectification Network for Automated Retinal Artery/Vein Segmentation. ISBI Zhan Heng, Maurice Pagnucco, Erik Meijering, Yang Song
2024	—	`conf`	XTranPrune: eXplainability-Aware Transformer Pruning for Bias Mitigation in Dermatological Disease Classification. MICCAI (10) Ali Ghadiri, Maurice Pagnucco, Yang Song
2023	B	`conf`	A Symbolic-Neural Reasoning Model for Visual Question Answering. IJCNN JingYing Gao, Alan Blair, Maurice Pagnucco
2023	Misc	`conf`	Adaptive Local Prototype and Cycle Attention for Few-shot Medical Image Segmentation. DICTA Shenyang Qian, Maurice Pagnucco, Yang Song
2023	J	`jnl`	An edge guided coarse-to-fine generative network for image outpainting. Neurocomputing Yiwen Xu, Maurice Pagnucco, Yang Song
2023	J	`jnl`	Artificial Learning for Part Identification in Robotic Disassembly Through Automatic Rule Generation in an Ontology. IEEE Trans Autom. Sci. Eng. Gwendolyn Foo, Sami Kara, Maurice Pagnucco
2023	B	`conf`	Community-Aware Federated Video Summarization. IJCNN Fan Wan, Junyan Wang, Haoran Duan, Yang Song, Maurice Pagnucco, Yang Long
2023	J	`jnl`	DARNet: Bridging Domain Gaps in Cross-Domain Few-Shot Segmentation with Dynamic Adaptation. CoRR Haoran Fan, Qi Fan, Maurice Pagnucco, Yang Song
2023	A*	`conf`	Draw2Edit: Mask-Free Sketch-Guided Image Manipulation. ACM Multimedia Yiwen Xu, Ruoyu Guo, Maurice Pagnucco, Yang Song
2023	—	`conf`	Epistemic Reasoning in Computational Machine Ethics. AI (2) Raynaldio Limarga, Yang Song, Maurice Pagnucco, David Rajaratnam
2023	A	`conf`	HyperTraj: Towards Simple and Fast Scene-Compliant Endpoint Conditioned Trajectory Prediction. IROS Renhao Huang, Maurice Pagnucco, Yang Song
2023	A	`conf`	Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection. ECAI Lei Fan, Yiwen Ding, Dongdong Fan, Yong Wu, Maurice Pagnucco, Yang Song
2023	J	`jnl`	Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection. CoRR Lei Fan, Yiwen Ding, Dongdong Fan, Yong Wu, Maurice Pagnucco, Yang Song
2023	J	`jnl`	InterREC: An Interpretable Method for Referring Expression Comprehension. IEEE Trans. Multim. Wenbin Wang, Maurice Pagnucco, Chengpei Xu, Yang Song
2023	A*	`conf`	LoRA: A Logical Reasoning Augmented Dataset for Visual Question Answering. NeurIPS JingYing Gao, Qi Wu, Alan Blair, Maurice Pagnucco
2023	A*	`conf`	Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition. ICLR Junyan Wang, Zhenhong Sun, Yichen Qian, Dong Gong, Xiuyu Sun, Ming Lin, Maurice Pagnucco, Yang Song
2023	J	`jnl`	Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition. CoRR Junyan Wang, Zhenhong Sun, Yichen Qian, Dong Gong, Xiuyu Sun, Ming Lin, Maurice Pagnucco, Yang Song
2023	J	`jnl`	Multi-scale multi-reception attention network for bone age assessment in X-ray images. Neural Networks Zhichao Yang, Cong Cong, Maurice Pagnucco, Yang Song
2023	J	`jnl`	Multimodal Trajectory Prediction: A Survey. CoRR Renhao Huang, Hao Xue, Maurice Pagnucco, Flora D. Salim, Yang Song
2023	J	`jnl`	Online Learning and Planning in Cognitive Hierarchies. CoRR Bernhard Hengst, Maurice Pagnucco, David Rajaratnam, Claude Sammut, Michael Thielscher
2023	J	`jnl`	SAC-Net: Learning with weak and noisy labels in histopathology image segmentation. Medical Image Anal. Ruoyu Guo, Kunzi Xie, Maurice Pagnucco, Yang Song
2023	—	`conf`	Self-training with Domain-Mixed Data for Few-Shot Domain Adaptation in Medical Image Segmentation Tasks. MLMI@MICCAI (1) Yongze Wang, Maurice Pagnucco, Yang Song
2023	—	`conf`	Towards Single Source Domain Generalisation in Trajectory Prediction: A Motion Prior based Approach. CoLLAs Renhao Huang, Anthony Tompkins, Maurice Pagnucco, Yang Song
2022	—	`conf`	Adaptive Unified Contrastive Learning for Imbalanced Classification. MLMI@MICCAI Cong Cong, Yixing Yang, Sidong Liu, Maurice Pagnucco, Antonio Di Ieva, Shlomo Berkovsky, Yang Song
2022	B	`conf`	CoGNet: Cooperative Graph Neural Networks. IJCNN Peibo Li, Yixing Yang, Maurice Pagnucco, Yang Song
2022	J	`jnl`	Colour adaptive generative networks for stain normalisation of histopathology images. Medical Image Anal. Cong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song
2022	—	`conf`	DHG-GAN: Diverse Image Outpainting via Decoupled High Frequency Semantics. ACCV (7) Yiwen Xu, Maurice Pagnucco, Yang Song
2022	—	`conf`	Electron Microscope Image Registration Using Laplacian Sharpening Transformer U-Net. MICCAI (6) Kunzi Xie, Yixing Yang, Maurice Pagnucco, Yang Song
2022	A*	`conf`	Epistemic Logic of Likelihood and Belief. IJCAI James P. Delgrande, Joshua Sack, Gerhard Lakemeyer, Maurice Pagnucco
2022	J	`jnl`	Explainability in Graph Neural Networks: An Experimental Survey. CoRR Peibo Li, Yixing Yang, Maurice Pagnucco, Yang Song
2022	A*	`conf`	GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive Recognition of Cereal Grains. CVPR Lei Fan, Yiwen Ding, Dongdong Fan, Donglin Di, Maurice Pagnucco, Yang Song
2022	J	`jnl`	GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive Recognition of Cereal Grains. CoRR Lei Fan, Yiwen Ding, Dongdong Fan, Donglin Di, Maurice Pagnucco, Yang Song
2022	A*	`conf`	Graph-based Spatial Transformer with Memory Replay for Multi-future Pedestrian Trajectory Prediction. CVPR Lihuan Li, Maurice Pagnucco, Yang Song
2022	J	`jnl`	Graph-based Spatial Transformer with Memory Replay for Multi-future Pedestrian Trajectory Prediction. CoRR Lihuan Li, Maurice Pagnucco, Yang Song
2022	—	`conf`	Imbalanced Histopathology Image Classification Using Deep Feature Graph Attention Network. ISBI Cong Cong, Yixing Yang, Sidong Liu, Maurice Pagnucco, Yang Song
2022	A	`conf`	Towards Unified Multi-Excitation for Unsupervised Video Prediction. BMVC Junyan Wang, Likun Qin, Peng Zhang, Yang Long, Bingzhang Hu, Maurice Pagnucco, Shizheng Wang, Yang Song
2022	—	`conf`	Two-Stage Topological Refinement Network for Retinal Artery/Vein Classification. ISBI Shichen Luo, Zhan Heng, Maurice Pagnucco, Yang Song
2021	J	`jnl`	An Ontology-Based Method for Semi-Automatic Disassembly of LCD Monitors and Unexpected Product Types. Int. J. Autom. Technol. Gwendolyn Foo, Sami Kara, Maurice Pagnucco
2021	J	`jnl`	Automated generation and execution of disassembly actions. Robotics Comput. Integr. Manuf. Wei Hua Chen, Gwendolyn Foo, Sami Kara, Maurice Pagnucco
2021	A*	`conf`	Discriminative Latent Semantic Graph for Video Captioning. ACM Multimedia Yang Bai, Junyan Wang, Yang Long, Bingzhang Hu, Yang Song, Maurice Pagnucco, Yu Guan
2021	J	`jnl`	Discriminative Latent Semantic Graph for Video Captioning. CoRR Yang Bai, Junyan Wang, Yang Long, Bingzhang Hu, Yang Song, Maurice Pagnucco, Yu Guan
2021	A	`conf`	Dynamic Graph Warping Transformer for Video Alignment. BMVC Junyan Wang, Yang Long, Maurice Pagnucco, Yang Song
2021	—	`conf`	Edge Guided Progressively Generative Image Outpainting. CVPR Workshops Han Lin, Maurice Pagnucco, Yang Song
2021	C	`conf`	Epistemic Reasoning for Machine Ethics with Situation Calculus. AIES Maurice Pagnucco, David Rajaratnam, Raynaldio Limarga, Abhaya Nayak, Yang Song
2021	—	`conf`	Learning with Noise: Mask-Guided Attention Model for Weakly Supervised Nuclei Segmentation. MICCAI (2) Ruoyu Guo, Maurice Pagnucco, Yang Song
2021	—	`conf`	Semi-supervised Adversarial Learning for Stain Normalisation in Histopathology Images. MICCAI (8) Cong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song
2021	—	`conf`	Texture Enhanced Generative Adversarial Network For Stain Normalisation In Histopathology Images. ISBI Cong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song
2020	Misc	`conf`	An Improved Discriminator for GAN-Based Trajectory Prediction Models. DICTA Renhao Huang, Yang Song, Maurice Pagnucco
2020	—	`conf`	Non-monotonic Reasoning for Machine Ethics with Situation Calculus. Australasian Conference on Artificial Intelligence Raynaldio Limarga, Maurice Pagnucco, Yang Song, Abhaya Nayak
2020	C	`conf`	Towards Enforcing Social Distancing Regulations with Occlusion-Aware Crowd Detection. ICARCV Cong Cong, Zhichao Yang, Yang Song, Maurice Pagnucco
2019	A	`conf`	A Representation Theorem for Reasoning in First-Order Multi-Agent Knowledge Bases. AAMAS Christoph Schwering, Maurice Pagnucco
2019	J	`jnl`	Analyzing XACML policies using answer set programming. Int. J. Inf. Sec. Mohsen Rezvani, David Rajaratnam, Aleksandar Ignjatovic, Maurice Pagnucco, Sanjay Jha
2019	Misc	`conf`	Exploring Human Machine-Mediated Interaction for Applications in Social HRI. OZCHI Anna A. Trofimova, Timothy Wiley, Maurice Pagnucco, Mari Velonaki
2019	—	`conf`	Perceptual Context in Cognitive Hierarchies. Description Logic, Theory Combination, and All That Bernhard Hengst, Maurice Pagnucco, David Rajaratnam, Claude Sammut, Michael Thielscher
2018	J	`jnl`	Perceptual Context in Cognitive Hierarchies. CoRR Bernhard Hengst, Maurice Pagnucco, David Rajaratnam, Claude Sammut, Michael Thielscher
2017	J	`jnl`	Belief revision and projection in the epistemic situation calculus. Artif. Intell. Christoph Schwering, Gerhard Lakemeyer, Maurice Pagnucco
2017	J	`jnl`	Inter-Definability of Horn Contraction and Horn Revision. J. Philos. Log. Zhiqiang Zhuang, Maurice Pagnucco, Yan Zhang
2016	A*	`conf`	A Framework for Integrating Symbolic and Sub-Symbolic Representations. IJCAI Keith Clark, Bernhard Hengst, Maurice Pagnucco, David Rajaratnam, Peter Robinson, Claude Sammut, Michael Thielscher
2016	B	`conf`	Anomaly-free policy composition in software-defined networks. Networking Mohsen Rezvani, Aleksandar Ignjatovic, Maurice Pagnucco, Sanjay K. Jha
2016	—	`conf`	Composability in Cognitive Hierarchies. Australasian Conference on Artificial Intelligence David Rajaratnam, Bernhard Hengst, Maurice Pagnucco, Claude Sammut, Michael Thielscher
2016	J	`jnl`	Vision-Based Execution Monitoring of State Transition in Disassembly Automation. Int. J. Autom. Technol. Supachai Vongbunyong, Maurice Pagnucco, Sami Kara
2015	A*	`conf`	Belief Revision and Progression of Knowledge Bases in the Epistemic Situation Calculus. IJCAI Christoph Schwering, Gerhard Lakemeyer, Maurice Pagnucco
2015	—	`conf`	General plans for removing main components in cognitive robotic disassembly automation. ICARA Supachai Vongbunyong, Sami Kara, Maurice Pagnucco
2015	C	`conf`	RoboCup SPL 2015 Champion Team Paper. RoboCup Brad Hall, Sean Harris, Bernhard Hengst, Roger Liu, Kenneth Ng, Maurice Pagnucco, Luke Pearson, Claude Sammut, Peter Schmidt
2015	—	`conf`	Termination Approximation: Continuous State Decomposition for Hierarchical Reinforcement Learning. AAAI Workshop: Knowledge, Skill, and Behavior Transfer in Autonomous Robots Sean Harris, Bernhard Hengst, Maurice Pagnucco
2014	A*	`conf`	A Framework for Task Planning in Heterogeneous Multi Robot Systems Based on Robot Capabilities. AAAI Jennifer Elisabeth Buehler, Maurice Pagnucco
2014	J	`jnl`	Entrenchment-Based Horn Contraction. J. Artif. Intell. Res. Zhiqiang Zhuang, Maurice Pagnucco
2014	A*	`conf`	Forgetting in Action. KR David Rajaratnam, Hector J. Levesque, Maurice Pagnucco, Michael Thielscher
2014	A*	`conf`	Minimising Undesired Task Costs in Multi-Robot Task Allocation Problems with In-Schedule Dependencies. AAAI Bradford Heap, Maurice Pagnucco
2014	A	`conf`	Planning and Execution of Robot Tasks Based on a Platform-Independent Model of Robot Capabilities. ECAI Jennifer Elisabeth Buehler, Maurice Pagnucco
2014	C	`conf`	RoboCup SPL 2014 Champion Team Paper. RoboCup 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
2013	A*	`conf`	Definability of Horn Revision from Horn Contraction. IJCAI Zhi Qiang Zhuang, Maurice Pagnucco, Yan Zhang
2013	B	`conf`	Implementing Belief Change in the Situation Calculus and an Application. LPNMR Maurice Pagnucco, David Rajaratnam, Hannes Strass, Michael Thielscher
2013	B	`conf`	Repeated Auctions for Reallocation of Tasks with Pickup and Delivery upon Robot Failure. PRIMA Bradford Heap, Maurice Pagnucco
2013	—	`conf`	Repeated Sequential Single-Cluster Auctions with Dynamic Tasks for Multi-Robot Task Allocation with Pickup and Delivery. MATES Bradford Heap, Maurice Pagnucco
2012	—	`conf`	Analysis of Cluster Formation Techniques for Multi-robot Task Allocation Using Sequential Single-Cluster Auctions. Australasian Conference on Artificial Intelligence Bradford Heap, Maurice Pagnucco
2012	—	`ed.`	Cognitive Robotics, Papers from the 2012 AAAI Workshop, CogRob@AAAI 2012, Toronto, Ontario, Canada, July 22-23, 2012 CogRob@AAAI Wolfram Burgard, Kurt Konolige, Maurice Pagnucco, Stavros Vassos
2012	A*	`conf`	Model Based Horn Contraction. KR Zhi Qiang Zhuang, Maurice Pagnucco
2012	A*	`conf`	Repeated Sequential Auctions with Dynamic Task Clusters. AAAI Bradford Gregory John Heap, Maurice Pagnucco
2011	—	`conf`	Executability in the Situation Calculus. Australasian Conference on Artificial Intelligence Timothy Joseph Cerexhe, Maurice Pagnucco
2011	—	`conf`	From Approximate Clausal Reasoning to Problem Hardness. Australasian Conference on Artificial Intelligence David Rajaratnam, Maurice Pagnucco
2011	—	`conf`	How to Plan When Being Deliberately Misled. Automated Action Planning for Autonomous Mobile Robots Maurice Pagnucco, David Rajaratnam, Hannes Strass, Michael Thielscher
2011	J	`jnl`	Iterated belief change in the situation calculus. Artif. Intell. Steven Shapiro, Maurice Pagnucco, Yves Lespérance, Hector J. Levesque
2011	—	`conf`	Sequential Single-Cluster Auctions for Robot Task Allocation. Australasian Conference on Artificial Intelligence Bradford Heap, Maurice Pagnucco
2011	A*	`conf`	Transitively Relational Partial Meet Horn Contraction. IJCAI Zhi Qiang Zhuang, Maurice Pagnucco
2010	—	`conf`	Evaluating Sequential Single-Item Auctions for Dynamic Task Allocation. Australasian Conference on Artificial Intelligence Adrian Schoenig, Maurice Pagnucco
2010	B	`conf`	Horn Contraction via Epistemic Entrenchment. JELIA Zhi Qiang Zhuang, Maurice Pagnucco
2010	—	`conf`	Two Methods for Constructing Horn Contractions. Australasian Conference on Artificial Intelligence Zhi Qiang Zhuang, Maurice Pagnucco
2009	—	`conf`	Belief Contraction in the Description Logic EL. Description Logics Zhi Qiang Zhuang, Maurice Pagnucco
2009	A*	`conf`	Realising Deterministic Behavior from Multiple Non-Deterministic Behaviors. IJCAI Thomas Ströder, Maurice Pagnucco
2008	—	`conf`	Exploiting Ontological Structure for Complex Preference Assembly. Australasian Conference on Artificial Intelligence Gil Chamiel, Maurice Pagnucco
2007	—	`conf`	Implementing Iterated Belief Change Via Prime Implicates. Australian Conference on Artificial Intelligence Zhi Qiang Zhuang, Maurice Pagnucco, Thomas Meyer
2007	C	`conf`	Prime Implicates for Approximate Reasoning. KSEM David Rajaratnam, Maurice Pagnucco
2006	—	`conf`	Knowledge Compilation for Belief Change. Australian Conference on Artificial Intelligence Maurice Pagnucco
2005	J	`jnl`	Gricean Belief Change. Stud Logica James P. Delgrande, Abhaya C. Nayak, Maurice Pagnucco
2005	A*	`conf`	Inverse Resolution as Belief Change. IJCAI Maurice Pagnucco, David Rajaratnam
2004	A*	`conf`	Conservative Belief Revision. AAAI James P. Delgrande, Abhaya C. Nayak, Maurice Pagnucco
2004	A	`conf`	Iterated Belief Change and Exogeneous Actions in the Situation Calculus. ECAI Steven Shapiro, Maurice Pagnucco
2004	B	`conf`	On the Intended Interpretations of Actions. PRICAI Victor Jauregui, Maurice Pagnucco, Norman Y. Foo
2004	A	`conf`	Simplicity in Solving the Frame Problem. ECAI Victor Jauregui, Maurice Pagnucco, Norman Y. Foo
2003	J	`jnl`	Dynamic belief revision operators. Artif. Intell. Abhaya C. Nayak, Maurice Pagnucco, Pavlos Peppas
2003	A*	`conf`	Prolegomenon to a Theory of Conservative Belief Revision. IJCAI James P. Delgrande, Abhaya C. Nayak, Maurice Pagnucco
2001	J	`jnl`	A Trajectory Approach to Causality. Stud Logica Victor Jauregui, Norman Y. Foo, Maurice Pagnucco
2001	A*	`conf`	Causality and Minimal Change Demystified. IJCAI Maurice Pagnucco, Pavlos Peppas
2001	—	`conf`	State Minimization Re-visited. Australian Joint Conference on Artificial Intelligence Norman Y. Foo, Abhaya C. Nayak, Maurice Pagnucco, Dongmo Zhang
2000	B	`conf`	A Unifying Semantics for Causal Ramifications. PRICAI Mikhail Prokopenko, Maurice Pagnucco, Pavlos Peppas, Abhaya C. Nayak
2000	A*	`conf`	Iterated Belief Change in the Situation Calculus. KR Steven Shapiro, Maurice Pagnucco, Yves Lespérance, Hector J. Levesque
1999	—	`conf`	A Trajectory Approach to Causality. Australian Joint Conference on Artificial Intelligence Victor Jauregui, Maurice Pagnucco, Norman Y. Foo
1999	—	`conf`	Causal Propagation Semantics - A Study. Australian Joint Conference on Artificial Intelligence Mikhail Prokopenko, Maurice Pagnucco, Pavlos Peppas, Abhaya C. Nayak
1999	A*	`conf`	Diagrammatic Proofs. IJCAI Norman Y. Foo, Maurice Pagnucco, Abhaya C. Nayak
1999	A*	`conf`	Preferential Semantics for Causal Systems. IJCAI Pavlos Peppas, Maurice Pagnucco, Mikhail Prokopenko, Norman Y. Foo, Abhaya C. Nayak
1999	J	`jnl`	Severe Withdrawal (and Recovery). J. Philos. Log. Hans Rott, Maurice Pagnucco
1998	—	`ed.`	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 Agents and Multi-Agent Systems Formalisms, Methodologies, and Applications Wayne Wobcke, Maurice Pagnucco, Chengqi Zhang
1997	—	`conf`	Action Localness, Genericity and Invariants in STRIPS. IJCAI (1) Norman Y. Foo, Abhaya C. Nayak, Maurice Pagnucco, Pavlos Peppas, Yan Zhang
1997	—	`conf`	Preferential Semantics for Causal Fixpoints. Australian Joint Conference on Artificial Intelligence Pavlos Peppas, Maurice Pagnucco, Mikhail Prokopenko, Norman Y. Foo
1996	B	`conf`	Changing Conditional Belief Unconditionally. TARK Abhaya C. Nayak, Norman Y. Foo, Maurice Pagnucco, Abdul Sattar
1996	A	`conf`	Definitional Constraints. ECAI Norman Y. Foo, Abhaya C. Nayak, Maurice Pagnucco
1996	A	`conf`	Learning From Conditionals: Judy Benjamin's Other Problems. ECAI Abhaya C. Nayak, Maurice Pagnucco, Norman Y. Foo, Pavlos Peppas
1996	A	`conf`	Revision vs. Update: Taking a Closer Look. ECAI Pavlos Peppas, Abhaya C. Nayak, Maurice Pagnucco, Norman Y. Foo, Rex Bing Hung Kwok, Mikhail Prokopenko
1995	—	`conf`	Abductive Reasoning, Belief Expansion and Nonmonotonic Cesequence. Deductive Databases / Abduction in Deductive Databases Maurice Pagnucco, Abhaya C. Nayak, Norman Y. Foo
1995	A*	`conf`	Determining Explanations using Transmutations. IJCAI (1) Mary-Anne Williams, Maurice Pagnucco, Norman Y. Foo, Brailey Sims
1993	Misc	`conf`	Inverting Resolution with Conceptual Graphs. ICCS Maurice Pagnucco, Norman Y. Foo