Maurice Pagnucco

According to our database, Maurice Pagnucco authored at least 127 papers between 1993 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Fully Decoupling Trajectory and Scene Encoding for Lightweight Heatmap-Oriented Trajectory Prediction.

Renhao Huang, Jingtao Ding, Maurice Pagnucco, Yang Song

IEEE Robotics Autom. Lett., October, 2024

AV4GAInsp: An Efficient Dual-Camera System for Identifying Defective Kernels of Cereal Grains.

Lei Fan, Dongdong Fan, Yiwen Ding, Yong Wu, Hongxia Chu, Maurice Pagnucco, Yang Song

IEEE Robotics Autom. Lett., January, 2024

Deconfounding Causal Inference for Zero-Shot Action Recognition.

Junyan Wang, Yiqi Jiang, Yang Long, Xiuyu Sun, Maurice Pagnucco, Yang Song

IEEE Trans. Multim., 2024

Multi-degradation-adaptation network for fundus image enhancement with degradation representation learning.

Ruoyu Guo, Yiwen Xu, Anthony Tompkins, Maurice Pagnucco, Yang Song

Medical Image Anal., 2024

Adaptive unified contrastive learning with graph-based feature aggregator for imbalanced medical image classification.

Cong Cong, Sidong Liu, Priyanka Rana, Maurice Pagnucco, Antonio Di Ieva, Shlomo Berkovsky, Yang Song

Expert Syst. Appl., 2024

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects.

Lei Fan, Dongdong Fan, Zhiguang Hu, Yiwen Ding, Donglin Di, Kai Yi, Maurice Pagnucco, Yang Song

CoRR, 2024

Revitalizing Reconstruction Models for Multi-class Anomaly Detection via Class-Aware Contrastive Learning.

Lei Fan, Junjie Huang, Donglin Di, Anyang Su, Maurice Pagnucco, Yang Song

CoRR, 2024

Soft Tensor Product Representations for Fully Continuous, Compositional Visual Representations.

Bethia Sun, Maurice Pagnucco, Yang Song

CoRR, 2024

Dataset Distillation for Histopathology Image Classification.

Cong Cong, Shiyu Xuan, Sidong Liu, Maurice Pagnucco, Shiliang Zhang, Yang Song

CoRR, 2024

An annotated grain kernel image database for visual quality inspection.

Lei Fan, Yiwen Ding, Dongdong Fan, Yong Wu, Hongxia Chu, Maurice Pagnucco, Yang Song

CoRR, 2024

XTranPrune: eXplainability-Aware Transformer Pruning for Bias Mitigation in Dermatological Disease Classification.

Ali Ghadiri, Maurice Pagnucco, Yang Song

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Meta-Transfer Learning for Few-Shot Meningioma Segmentation.

Shenghui Yan, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Yang Song

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Vascular Topology Rectification Network for Automated Retinal Artery/Vein Segmentation.

Zhan Heng, Maurice Pagnucco, Erik Meijering, Yang Song

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Explainable Visual Question Answering via Hybrid Neural-Logical Reasoning.

Jingying Gao, Alan Blair, Maurice Pagnucco

Proceedings of the International Joint Conference on Neural Networks, 2024

Formalisation and Evaluation of Properties for Consequentialist Machine Ethics.

Raynaldio Limarga, Yang Song, Abhaya Nayak, David Rajaratnam, Maurice Pagnucco

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Domain Generalised Cell Nuclei Segmentation in Histopathology Images Using Domain-Aware Curriculum Learning and Colour-Perceived Meta Learning.

Kunzi Xie, Ruoyu Guo, Cong Cong, Maurice Pagnucco, Yang Song

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Decoupled Optimisation for Long-Tailed Visual Recognition.

Cong Cong, Shiyu Xuan, Sidong Liu, Shiliang Zhang, Maurice Pagnucco, Yang Song

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

An edge guided coarse-to-fine generative network for image outpainting.

Yiwen Xu, Maurice Pagnucco, Yang Song

Neurocomputing, July, 2023

SAC-Net: Learning with weak and noisy labels in histopathology image segmentation.

Ruoyu Guo, Kunzi Xie, Maurice Pagnucco, Yang Song

Medical Image Anal., May, 2023

Multi-scale multi-reception attention network for bone age assessment in X-ray images.

Zhichao Yang, Cong Cong, Maurice Pagnucco, Yang Song

Neural Networks, January, 2023

InterREC: An Interpretable Method for Referring Expression Comprehension.

Wenbin Wang, Maurice Pagnucco, Chengpei Xu, Yang Song

IEEE Trans. Multim., 2023

Artificial Learning for Part Identification in Robotic Disassembly Through Automatic Rule Generation in an Ontology.

Gwendolyn Foo, Sami Kara, Maurice Pagnucco

IEEE Trans Autom. Sci. Eng., 2023

DARNet: Bridging Domain Gaps in Cross-Domain Few-Shot Segmentation with Dynamic Adaptation.

Haoran Fan, Qi Fan, Maurice Pagnucco, Yang Song

CoRR, 2023

Online Learning and Planning in Cognitive Hierarchies.

Bernhard Hengst, Maurice Pagnucco, David Rajaratnam, Claude Sammut, Michael Thielscher

CoRR, 2023

Multimodal Trajectory Prediction: A Survey.

Renhao Huang, Hao Xue, Maurice Pagnucco, Flora D. Salim, Yang Song

CoRR, 2023

LoRA: A Logical Reasoning Augmented Dataset for Visual Question Answering.

Jingying Gao, Qi Wu, Alan Blair, Maurice Pagnucco

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Draw2Edit: Mask-Free Sketch-Guided Image Manipulation.

Yiwen Xu, Ruoyu Guo, Maurice Pagnucco, Yang Song

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Self-training with Domain-Mixed Data for Few-Shot Domain Adaptation in Medical Image Segmentation Tasks.

Yongze Wang, Maurice Pagnucco, Yang Song

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

HyperTraj: Towards Simple and Fast Scene-Compliant Endpoint Conditioned Trajectory Prediction.

Renhao Huang, Maurice Pagnucco, Yang Song

IROS, 2023

Community-Aware Federated Video Summarization.

Fan Wan, Junyan Wang, Haoran Duan, Yang Song, Maurice Pagnucco, Yang Long

Proceedings of the International Joint Conference on Neural Networks, 2023

A Symbolic-Neural Reasoning Model for Visual Question Answering.

Jingying Gao, Alan Blair, Maurice Pagnucco

Proceedings of the International Joint Conference on Neural Networks, 2023

Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition.

Junyan Wang, Zhenhong Sun, Yichen Qian, Dong Gong, Xiuyu Sun, Ming C. Lin, Maurice Pagnucco, Yang Song

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection.

Lei Fan, Yiwen Ding, Dongdong Fan, Yong Wu, Maurice Pagnucco, Yang Song

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Adaptive Local Prototype and Cycle Attention for Few-shot Medical Image Segmentation.

Shenyang Qian, Maurice Pagnucco, Yang Song

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

Towards Single Source Domain Generalisation in Trajectory Prediction: A Motion Prior based Approach.

Renhao Huang, Anthony Tompkins, Maurice Pagnucco, Yang Song

Proceedings of the Conference on Lifelong Learning Agents, 2023

Epistemic Reasoning in Computational Machine Ethics.

Raynaldio Limarga, Yang Song, Maurice Pagnucco, David Rajaratnam

Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

2022

Colour adaptive generative networks for stain normalisation of histopathology images.

Cong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song

Medical Image Anal., 2022

Explainability in Graph Neural Networks: An Experimental Survey.

Peibo Li, Yixing Yang, Maurice Pagnucco, Yang Song

CoRR, 2022

Electron Microscope Image Registration Using Laplacian Sharpening Transformer U-Net.

Kunzi Xie, Yixing Yang, Maurice Pagnucco, Yang Song

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Adaptive Unified Contrastive Learning for Imbalanced Classification.

Cong Cong, Yixing Yang, Sidong Liu, Maurice Pagnucco, Antonio Di Ieva, Shlomo Berkovsky, Yang Song

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Two-Stage Topological Refinement Network for Retinal Artery/Vein Classification.

Shichen Luo, Zhan Heng, Maurice Pagnucco, Yang Song

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Imbalanced Histopathology Image Classification Using Deep Feature Graph Attention Network.

Cong Cong, Yixing Yang, Sidong Liu, Maurice Pagnucco, Yang Song

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

CoGNet: Cooperative Graph Neural Networks.

Peibo Li, Yixing Yang, Maurice Pagnucco, Yang Song

Proceedings of the International Joint Conference on Neural Networks, 2022

Epistemic Logic of Likelihood and Belief.

James P. Delgrande, Joshua Sack, Gerhard Lakemeyer, Maurice Pagnucco

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Graph-based Spatial Transformer with Memory Replay for Multi-future Pedestrian Trajectory Prediction.

Lihuan Li, Maurice Pagnucco, Yang Song

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive Recognition of Cereal Grains.

Lei Fan, Yiwen Ding, Dongdong Fan, Donglin Di, Maurice Pagnucco, Yang Song

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Towards Unified Multi-Excitation for Unsupervised Video Prediction.

Junyan Wang, Likun Qin, Peng Zhang, Yang Long, Bingzhang Hu, Maurice Pagnucco, Shizheng Wang, Yang Song

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

DHG-GAN: Diverse Image Outpainting via Decoupled High Frequency Semantics.

Yiwen Xu, Maurice Pagnucco, Yang Song

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

Automated generation and execution of disassembly actions.

Wei Hua Chen, Gwendolyn Foo, Sami Kara, Maurice Pagnucco

Robotics Comput. Integr. Manuf., 2021

An Ontology-Based Method for Semi-Automatic Disassembly of LCD Monitors and Unexpected Product Types.

Gwendolyn Foo, Sami Kara, Maurice Pagnucco

Int. J. Autom. Technol., 2021

Discriminative Latent Semantic Graph for Video Captioning.

Yang Bai, Junyan Wang, Yang Long, Bingzhang Hu, Yang Song, Maurice Pagnucco, Yu Guan

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Learning with Noise: Mask-Guided Attention Model for Weakly Supervised Nuclei Segmentation.

Ruoyu Guo, Maurice Pagnucco, Yang Song

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Semi-supervised Adversarial Learning for Stain Normalisation in Histopathology Images.

Cong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Texture Enhanced Generative Adversarial Network For Stain Normalisation In Histopathology Images.

Cong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Edge Guided Progressively Generative Image Outpainting.

Han Lin, Maurice Pagnucco, Yang Song

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Dynamic Graph Warping Transformer for Video Alignment.

Junyan Wang, Yang Long, Maurice Pagnucco, Yang Song

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Epistemic Reasoning for Machine Ethics with Situation Calculus.

Maurice Pagnucco, David Rajaratnam, Raynaldio Limarga, Abhaya Nayak, Yang Song

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Towards Enforcing Social Distancing Regulations with Occlusion-Aware Crowd Detection.

Cong Cong, Zhichao Yang, Yang Song, Maurice Pagnucco

Proceedings of the 16th International Conference on Control, 2020

An Improved Discriminator for GAN-Based Trajectory Prediction Models.

Renhao Huang, Yang Song, Maurice Pagnucco

Proceedings of the Digital Image Computing: Techniques and Applications, 2020

Non-monotonic Reasoning for Machine Ethics with Situation Calculus.

Raynaldio Limarga, Maurice Pagnucco, Yang Song, Abhaya Nayak

Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020

2019

Analyzing XACML policies using answer set programming.

Mohsen Rezvani, David Rajaratnam, Aleksandar Ignjatovic, Maurice Pagnucco, Sanjay Jha

Int. J. Inf. Sec., 2019

Exploring Human Machine-Mediated Interaction for Applications in Social HRI.

Anna A. Trofimova, Timothy Wiley, Maurice Pagnucco, Mari Velonaki

Proceedings of the OZCHI'19: 31st Australian Conference on Human-Computer-Interaction, 2019

Perceptual Context in Cognitive Hierarchies.

Bernhard Hengst, Maurice Pagnucco, David Rajaratnam, Claude Sammut, Michael Thielscher

Proceedings of the Description Logic, Theory Combination, and All That, 2019

A Representation Theorem for Reasoning in First-Order Multi-Agent Knowledge Bases.

Christoph Schwering, Maurice Pagnucco

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2017

Inter-Definability of Horn Contraction and Horn Revision.

Zhiqiang Zhuang, Maurice Pagnucco, Yan Zhang

J. Philos. Log., 2017

Belief revision and projection in the epistemic situation calculus.

Christoph Schwering, Gerhard Lakemeyer, Maurice Pagnucco

Artif. Intell., 2017

2016

Vision-Based Execution Monitoring of State Transition in Disassembly Automation.

Supachai Vongbunyong, Maurice Pagnucco, Sami Kara

Int. J. Autom. Technol., 2016

Anomaly-free policy composition in software-defined networks.

Mohsen Rezvani, Aleksandar Ignjatovic, Maurice Pagnucco, Sanjay K. Jha

Proceedings of the 2016 IFIP Networking Conference, 2016

A Framework for Integrating Symbolic and Sub-Symbolic Representations.

Keith Clark, Bernhard Hengst, Maurice Pagnucco, David Rajaratnam, Peter Robinson, Claude Sammut, Michael Thielscher

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Composability in Cognitive Hierarchies.

David Rajaratnam, Bernhard Hengst, Maurice Pagnucco, Claude Sammut, Michael Thielscher

Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016

2015

RoboCup SPL 2015 Champion Team Paper.

Brad Hall, Sean Harris, Bernhard Hengst, Roger Liu, Kenneth Ng, Maurice Pagnucco, Luke Pearson, Claude Sammut, Peter Schmidt

Proceedings of the RoboCup 2015: Robot World Cup XIX [papers from the 19th Annual RoboCup International Symposium, 2015

Belief Revision and Progression of Knowledge Bases in the Epistemic Situation Calculus.

Christoph Schwering, Gerhard Lakemeyer, Maurice Pagnucco

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

General plans for removing main components in cognitive robotic disassembly automation.

Supachai Vongbunyong, Sami Kara, Maurice Pagnucco

Proceedings of the 6th International Conference on Automation, Robotics and Applications, 2015

Termination Approximation: Continuous State Decomposition for Hierarchical Reinforcement Learning.

Sean Harris, Bernhard Hengst, Maurice Pagnucco

Proceedings of the Knowledge, 2015

2014

Entrenchment-Based Horn Contraction.

Zhiqiang Zhuang, Maurice Pagnucco

J. Artif. Intell. Res., 2014

RoboCup SPL 2014 Champion Team Paper.

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

Proceedings of the RoboCup 2014: Robot World Cup XVIII [papers from the 18th Annual RoboCup International Symposium, 2014

Forgetting in Action.

David Rajaratnam, Hector J. Levesque, Maurice Pagnucco, Michael Thielscher

Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Fourteenth International Conference, 2014

Planning and Execution of Robot Tasks Based on a Platform-Independent Model of Robot Capabilities.

Jennifer Elisabeth Buehler, Maurice Pagnucco

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Minimising Undesired Task Costs in Multi-Robot Task Allocation Problems with In-Schedule Dependencies.

Bradford Heap, Maurice Pagnucco

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

A Framework for Task Planning in Heterogeneous Multi Robot Systems Based on Robot Capabilities.

Jennifer Elisabeth Buehler, Maurice Pagnucco

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Repeated Auctions for Reallocation of Tasks with Pickup and Delivery upon Robot Failure.

Bradford Heap, Maurice Pagnucco

Proceedings of the PRIMA 2013: Principles and Practice of Multi-Agent Systems, 2013

Repeated Sequential Single-Cluster Auctions with Dynamic Tasks for Multi-Robot Task Allocation with Pickup and Delivery.

Bradford Heap, Maurice Pagnucco

Proceedings of the Multiagent System Technologies - 11th German Conference, 2013

Implementing Belief Change in the Situation Calculus and an Application.

Maurice Pagnucco, David Rajaratnam, Hannes Strass, Michael Thielscher

Proceedings of the Logic Programming and Nonmonotonic Reasoning, 2013

Definability of Horn Revision from Horn Contraction.

Zhi Qiang Zhuang, Maurice Pagnucco, Yan Zhang

Proceedings of the IJCAI 2013, 2013

2012

Model Based Horn Contraction.

Zhi Qiang Zhuang, Maurice Pagnucco

Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Thirteenth International Conference, 2012

Analysis of Cluster Formation Techniques for Multi-robot Task Allocation Using Sequential Single-Cluster Auctions.

Bradford Heap, Maurice Pagnucco

Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

Repeated Sequential Auctions with Dynamic Task Clusters.

Bradford Gregory John Heap, Maurice Pagnucco

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Iterated belief change in the situation calculus.

Steven Shapiro, Maurice Pagnucco, Yves Lespérance, Hector J. Levesque

Artif. Intell., 2011

Transitively Relational Partial Meet Horn Contraction.

Zhi Qiang Zhuang, Maurice Pagnucco

Proceedings of the IJCAI 2011, 2011

From Approximate Clausal Reasoning to Problem Hardness.

David Rajaratnam, Maurice Pagnucco

Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

Sequential Single-Cluster Auctions for Robot Task Allocation.

Bradford Heap, Maurice Pagnucco

Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

Executability in the Situation Calculus.

Timothy Joseph Cerexhe, Maurice Pagnucco

Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

How to Plan When Being Deliberately Misled.

Maurice Pagnucco, David Rajaratnam, Hannes Strass, Michael Thielscher

Proceedings of the Automated Action Planning for Autonomous Mobile Robots, 2011

2010

Horn Contraction via Epistemic Entrenchment.

Zhi Qiang Zhuang, Maurice Pagnucco

Proceedings of the Logics in Artificial Intelligence - 12th European Conference, 2010

Two Methods for Constructing Horn Contractions.

Zhi Qiang Zhuang, Maurice Pagnucco

Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010

Evaluating Sequential Single-Item Auctions for Dynamic Task Allocation.

Adrian Schoenig, Maurice Pagnucco

Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010

2009

Realising Deterministic Behavior from Multiple Non-Deterministic Behaviors.

Thomas Ströder, Maurice Pagnucco

Proceedings of the IJCAI 2009, 2009

Belief Contraction in the Description Logic EL.

Zhi Qiang Zhuang, Maurice Pagnucco

Proceedings of the 22nd International Workshop on Description Logics (DL 2009), 2009

2008

Exploiting Ontological Structure for Complex Preference Assembly.

Gil Chamiel, Maurice Pagnucco

Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008

2007

Prime Implicates for Approximate Reasoning.

David Rajaratnam, Maurice Pagnucco

Proceedings of the Knowledge Science, 2007

Implementing Iterated Belief Change Via Prime Implicates.

Zhi Qiang Zhuang, Maurice Pagnucco, Thomas Meyer

Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007

2006

Knowledge Compilation for Belief Change.

Maurice Pagnucco

Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

2005

Gricean Belief Change.

James P. Delgrande, Abhaya C. Nayak, Maurice Pagnucco

Stud Logica, 2005

Inverse Resolution as Belief Change.

Maurice Pagnucco, David Rajaratnam

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

2004

On the Intended Interpretations of Actions.

Victor Jauregui, Maurice Pagnucco, Norman Y. Foo

Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

Iterated Belief Change and Exogeneous Actions in the Situation Calculus.

Steven Shapiro, Maurice Pagnucco

Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

Simplicity in Solving the Frame Problem.

Victor Jauregui, Maurice Pagnucco, Norman Y. Foo

Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

Conservative Belief Revision.

James P. Delgrande, Abhaya C. Nayak, Maurice Pagnucco

Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

2003

Dynamic belief revision operators.

Abhaya C. Nayak, Maurice Pagnucco, Pavlos Peppas

Artif. Intell., 2003

Prolegomenon to a Theory of Conservative Belief Revision.

James P. Delgrande, Abhaya C. Nayak, Maurice Pagnucco

Proceedings of the IJCAI-03, 2003

2001

A Trajectory Approach to Causality.

Victor Jauregui, Norman Y. Foo, Maurice Pagnucco

Stud Logica, 2001

Causality and Minimal Change Demystified.

Maurice Pagnucco, Pavlos Peppas

Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001

State Minimization Re-visited.

Norman Y. Foo, Abhaya C. Nayak, Maurice Pagnucco, Dongmo Zhang

Proceedings of the AI 2001: Advances in Artificial Intelligence, 2001

2000

A Unifying Semantics for Causal Ramifications.

Mikhail Prokopenko, Maurice Pagnucco, Pavlos Peppas, Abhaya C. Nayak

Proceedings of the PRICAI 2000, Topics in Artificial Intelligence, 6th Pacific Rim International Conference on Artificial Intelligence, Melbourne, Australia, August 28, 2000

1999

Severe Withdrawal (and Recovery).

Hans Rott, Maurice Pagnucco

J. Philos. Log., 1999

Preferential Semantics for Causal Systems.

Pavlos Peppas, Maurice Pagnucco, Mikhail Prokopenko, Norman Y. Foo, Abhaya C. Nayak

Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Diagrammatic Proofs.

Norman Y. Foo, Maurice Pagnucco, Abhaya C. Nayak

Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999

Causal Propagation Semantics - A Study.

Mikhail Prokopenko, Maurice Pagnucco, Pavlos Peppas, Abhaya C. Nayak

Proceedings of the Advanced Topics in Artificial Intelligence, 1999

1997

Action Localness, Genericity and Invariants in STRIPS.

Norman Y. Foo, Abhaya C. Nayak, Maurice Pagnucco, Pavlos Peppas, Yan Zhang

Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

Preferential Semantics for Causal Fixpoints.

Pavlos Peppas, Maurice Pagnucco, Mikhail Prokopenko, Norman Y. Foo

Proceedings of the Advanced Topics in Artificial Intelligence, 1997

1996

Changing Conditional Belief Unconditionally.

Abhaya C. Nayak, Norman Y. Foo, Maurice Pagnucco, Abdul Sattar

Proceedings of the Sixth Conference on Theoretical Aspects of Rationality and Knowledge, 1996

Revision vs. Update: Taking a Closer Look.

Pavlos Peppas, Abhaya C. Nayak, Maurice Pagnucco, Norman Y. Foo, Rex Bing Hung Kwok, Mikhail Prokopenko

Proceedings of the 12th European Conference on Artificial Intelligence, 1996

Learning From Conditionals: Judy Benjamin's Other Problems.

Abhaya C. Nayak, Maurice Pagnucco, Norman Y. Foo, Pavlos Peppas

Proceedings of the 12th European Conference on Artificial Intelligence, 1996

Definitional Constraints.

Norman Y. Foo, Abhaya C. Nayak, Maurice Pagnucco

Proceedings of the 12th European Conference on Artificial Intelligence, 1996

1995

Determining Explanations using Transmutations.

Mary-Anne Williams, Maurice Pagnucco, Norman Y. Foo, Brailey Sims

Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995

Abductive Reasoning, Belief Expansion and Nonmonotonic Cesequence.

Maurice Pagnucco, Abhaya C. Nayak, Norman Y. Foo

Proceedings of the Deductive Databases and Logic Programming, 1995

1993

Inverting Resolution with Conceptual Graphs.

Maurice Pagnucco, Norman Y. Foo

Proceedings of the Conceptual Graphs for Knowledge Representation, 1993