| 2026 | AAAI | Principles2Plan: LLM-Guided System for Operationalising Ethical Principles into Plans. | Tammy Zhong, Yang Song, Maurice Pagnucco |
| 2025 | AISTATS | Structure based SAT dataset for analysing GNN generalisation. | Yi Fu, Anthony Tompkins, Yang Song, Maurice Pagnucco |
| 2025 | CVPR | 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 |
| 2025 | CVPR | Prototype-Based Image Prompting for Weakly Supervised Histopathological Image Segmentation. | Qingchen Tang, Lei Fan, Maurice Pagnucco, Yang Song |
| 2025 | CVPR | Interpretable Image Classification via Non-parametric Part Prototype Learning. | Zhijie Zhu, Lei Fan, Maurice Pagnucco, Yang Song |
| 2025 | EMNLP | Temporal Alignment of Time Sensitive Facts with Activation Engineering. | Sanjay Govindan, Maurice Pagnucco, Yang Song |
| 2025 | ICCV | Salvaging the Overlooked: Leveraging Class-Aware Contrastive Learning for Multi-Class Anomaly Detection. | Lei Fan, Junjie Huang, Donglin Di, Anyang Su, Tianyou Song, Maurice Pagnucco, Yang Song |
| 2025 | IJCNN | Source-free Few-shot Segmentation for Rarer Brain Tumors. | Shenghui Yan, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Yang Song |
| 2025 | ICRA | SynerGuard: A Robust Framework for Point Cloud Classification via Local Geometry and Spatial Topology. | Haonan Zhong, Wei Song, Maurice Pagnucco, Yang Song |
| 2025 | KR | Belief Revision in a Probabilistic Setting. | James P. Delgrande, Gerhard Lakemeyer, Maurice Pagnucco, Joshua Sack |
| 2025 | MICCAI | Location-Aware Parameter Fine-Tuning for Multimodal Image Segmentation. | Sicong Gao, Maurice Pagnucco, Yang Song |
| 2024 | AAAI | Decoupled Optimisation for Long-Tailed Visual Recognition. | Cong Cong, Shiyu Xuan, Sidong Liu, Shiliang Zhang, Maurice Pagnucco, Yang Song |
| 2024 | ECAI | 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 |
| 2024 | ICONIP | Enriching Degradation Features for Fundus Image Enhancement via Multi-colour Dynamic Filter Network. | Ruoyu Guo, Maurice Pagnucco, Yang Song |
| 2024 | IJCAI | Formalisation and Evaluation of Properties for Consequentialist Machine Ethics. | Raynaldio Limarga, Yang Song, Abhaya Nayak, David Rajaratnam, Maurice Pagnucco |
| 2024 | IJCNN | Explainable Visual Question Answering via Hybrid Neural-Logical Reasoning. | Jingying Gao, Alan Blair, Maurice Pagnucco |
| 2024 | MICCAI | XTranPrune: eXplainability-Aware Transformer Pruning for Bias Mitigation in Dermatological Disease Classification. | Ali Ghadiri, Maurice Pagnucco, Yang Song |
| 2023 | DICTA | Adaptive Local Prototype and Cycle Attention for Few-shot Medical Image Segmentation. | Shenyang Qian, Maurice Pagnucco, Yang Song |
| 2023 | ECAI | Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection. | Lei Fan, Yiwen Ding, Dongdong Fan, Yong Wu, Maurice Pagnucco, Yang Song |
| 2023 | ICLR | Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition. | Junyan Wang, Zhenhong Sun, Yichen Qian, Dong Gong, Xiuyu Sun, Ming Lin, Maurice Pagnucco, Yang Song |
| 2023 | IJCNN | A Symbolic-Neural Reasoning Model for Visual Question Answering. | Jingying Gao, Alan Blair, Maurice Pagnucco |
| 2023 | IJCNN | Community-Aware Federated Video Summarization. | Fan Wan, Junyan Wang, Haoran Duan, Yang Song, Maurice Pagnucco, Yang Long |
| 2023 | IROS | HyperTraj: Towards Simple and Fast Scene-Compliant Endpoint Conditioned Trajectory Prediction. | Renhao Huang, Maurice Pagnucco, Yang Song |
| 2022 | ACCV | DHG-GAN: Diverse Image Outpainting via Decoupled High Frequency Semantics. | Yiwen Xu, Maurice Pagnucco, Yang Song |
| 2022 | BMVC | Towards Unified Multi-Excitation for Unsupervised Video Prediction. | Junyan Wang, Likun Qin, Peng Zhang, Yang Long, Bingzhang Hu, Maurice Pagnucco, Shizheng Wang, Yang Song |
| 2022 | CVPR | 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 |
| 2022 | CVPR | Graph-based Spatial Transformer with Memory Replay for Multi-future Pedestrian Trajectory Prediction. | Lihuan Li, Maurice Pagnucco, Yang Song |
| 2022 | IJCAI | Epistemic Logic of Likelihood and Belief. | James P. Delgrande, Joshua Sack, Gerhard Lakemeyer, Maurice Pagnucco |
| 2022 | IJCNN | CoGNet: Cooperative Graph Neural Networks. | Peibo Li, Yixing Yang, Maurice Pagnucco, Yang Song |
| 2022 | MICCAI | Adaptive Unified Contrastive Learning for Imbalanced Classification. | Cong Cong, Yixing Yang, Sidong Liu, Maurice Pagnucco, Antonio Di Ieva, Shlomo Berkovsky, Yang Song |
| 2022 | MICCAI | Electron Microscope Image Registration Using Laplacian Sharpening Transformer U-Net. | Kunzi Xie, Yixing Yang, Maurice Pagnucco, Yang Song |
| 2021 | AIES | Epistemic Reasoning for Machine Ethics with Situation Calculus. | Maurice Pagnucco, David Rajaratnam, Raynaldio Limarga, Abhaya Nayak, Yang Song |
| 2021 | BMVC | Dynamic Graph Warping Transformer for Video Alignment. | Junyan Wang, Yang Long, Maurice Pagnucco, Yang Song |
| 2021 | CVPR | Edge Guided Progressively Generative Image Outpainting. | Han Lin, Maurice Pagnucco, Yang Song |
| 2021 | MICCAI | Semi-supervised Adversarial Learning for Stain Normalisation in Histopathology Images. | Cong Cong, Sidong Liu, Antonio Di Ieva, Maurice Pagnucco, Shlomo Berkovsky, Yang Song |
| 2021 | MICCAI | Learning with Noise: Mask-Guided Attention Model for Weakly Supervised Nuclei Segmentation. | Ruoyu Guo, Maurice Pagnucco, Yang Song |
| 2020 | DICTA | An Improved Discriminator for GAN-Based Trajectory Prediction Models. | Renhao Huang, Yang Song, Maurice Pagnucco |
| 2020 | ICARCV | Towards Enforcing Social Distancing Regulations with Occlusion-Aware Crowd Detection. | Cong Cong, Zhichao Yang, Yang Song, Maurice Pagnucco |
| 2019 | OZCHI | Exploring Human Machine-Mediated Interaction for Applications in Social HRI. | Anna A. Trofimova, Timothy Wiley, Maurice Pagnucco, Mari Velonaki |
| 2016 | IJCAI | A Framework for Integrating Symbolic and Sub-Symbolic Representations. | Keith Clark, Bernhard Hengst, Maurice Pagnucco, David Rajaratnam, Peter Robinson, Claude Sammut, Michael Thielscher |
| 2016 | Networking | Anomaly-free policy composition in software-defined networks. | Mohsen Rezvani, Aleksandar Ignjatovic, Maurice Pagnucco, Sanjay K. Jha |
| 2015 | AAAI | Termination Approximation: Continuous State Decomposition for Hierarchical Reinforcement Learning. | Sean Harris, Bernhard Hengst, Maurice Pagnucco |
| 2015 | IJCAI | Belief Revision and Progression of Knowledge Bases in the Epistemic Situation Calculus. | Christoph Schwering, Gerhard Lakemeyer, Maurice Pagnucco |
| 2015 | RoboCup | RoboCup SPL 2015 Champion Team Paper. | Brad Hall, Sean Harris, Bernhard Hengst, Roger Liu, Kenneth Ng, Maurice Pagnucco, Luke Pearson, Claude Sammut, Peter Schmidt |
| 2014 | AAAI | A Framework for Task Planning in Heterogeneous Multi Robot Systems Based on Robot Capabilities. | Jennifer Elisabeth Buehler, Maurice Pagnucco |
| 2014 | AAAI | Minimising Undesired Task Costs in Multi-Robot Task Allocation Problems with In-Schedule Dependencies. | Bradford Heap, Maurice Pagnucco |
| 2014 | ECAI | Planning and Execution of Robot Tasks Based on a Platform-Independent Model of Robot Capabilities. | Jennifer Elisabeth Buehler, Maurice Pagnucco |
| 2014 | KR | Forgetting in Action. | David Rajaratnam, Hector J. Levesque, Maurice Pagnucco, Michael Thielscher |
| 2014 | RoboCup | 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 |
| 2013 | IJCAI | Definability of Horn Revision from Horn Contraction. | Zhi Qiang Zhuang, Maurice Pagnucco, Yan Zhang |
| 2013 | LPNMR | Implementing Belief Change in the Situation Calculus and an Application. | Maurice Pagnucco, David Rajaratnam, Hannes Strass, Michael Thielscher |
| 2013 | PRIMA | Repeated Auctions for Reallocation of Tasks with Pickup and Delivery upon Robot Failure. | Bradford Heap, Maurice Pagnucco |
| 2012 | AAAI | Repeated Sequential Auctions with Dynamic Task Clusters. | Bradford Gregory John Heap, Maurice Pagnucco |
| 2012 | KR | Model Based Horn Contraction. | Zhi Qiang Zhuang, Maurice Pagnucco |
| 2011 | AAAI | How to Plan When Being Deliberately Misled. | Maurice Pagnucco, David Rajaratnam, Hannes Strass, Michael Thielscher |
| 2011 | IJCAI | Transitively Relational Partial Meet Horn Contraction. | Zhi Qiang Zhuang, Maurice Pagnucco |
| 2010 | JELIA | Horn Contraction via Epistemic Entrenchment. | Zhi Qiang Zhuang, Maurice Pagnucco |
| 2009 | IJCAI | Realising Deterministic Behavior from Multiple Non-Deterministic Behaviors. | Thomas Strder, Maurice Pagnucco |
| 2007 | KSEM | Prime Implicates for Approximate Reasoning. | David Rajaratnam, Maurice Pagnucco |
| 2005 | IJCAI | Inverse Resolution as Belief Change. | Maurice Pagnucco, David Rajaratnam |
| 2004 | AAAI | Conservative Belief Revision. | James P. Delgrande, Abhaya C. Nayak, Maurice Pagnucco |
| 2004 | ECAI | Simplicity in Solving the Frame Problem. | Victor Jauregui, Maurice Pagnucco, Norman Y. Foo |
| 2004 | ECAI | Iterated Belief Change and Exogeneous Actions in the Situation Calculus. | Steven Shapiro, Maurice Pagnucco |
| 2004 | PRICAI | On the Intended Interpretations of Actions. | Victor Jauregui, Maurice Pagnucco, Norman Y. Foo |
| 2003 | IJCAI | Prolegomenon to a Theory of Conservative Belief Revision. | James P. Delgrande, Abhaya C. Nayak, Maurice Pagnucco |
| 2001 | IJCAI | Causality and Minimal Change Demystified. | Maurice Pagnucco, Pavlos Peppas |
| 2000 | KR | Iterated Belief Change in the Situation Calculus. | Steven Shapiro, Maurice Pagnucco, Yves Lesprance, Hector J. Levesque |
| 2000 | PRICAI | A Unifying Semantics for Causal Ramifications. | Mikhail Prokopenko, Maurice Pagnucco, Pavlos Peppas, Abhaya C. Nayak |
| 1999 | IJCAI | Diagrammatic Proofs. | Norman Y. Foo, Maurice Pagnucco, Abhaya C. Nayak |
| 1999 | IJCAI | Preferential Semantics for Causal Systems. | Pavlos Peppas, Maurice Pagnucco, Mikhail Prokopenko, Norman Y. Foo, Abhaya C. Nayak |
| 1997 | IJCAI | Action Localness, Genericity and Invariants in STRIPS. | Norman Y. Foo, Abhaya C. Nayak, Maurice Pagnucco, Pavlos Peppas, Yan Zhang |
| 1996 | ECAI | Definitional Constraints. | Norman Y. Foo, Abhaya C. Nayak, Maurice Pagnucco |
| 1996 | ECAI | Learning From Conditionals: Judy Benjamin's Other Problems. | Abhaya C. Nayak, Maurice Pagnucco, Norman Y. Foo, Pavlos Peppas |
| 1996 | ECAI | Revision vs. Update: Taking a Closer Look. | Pavlos Peppas, Abhaya C. Nayak, Maurice Pagnucco, Norman Y. Foo, Rex Bing Hung Kwok, Mikhail Prokopenko |
| 1996 | TARK | Changing Conditional Belief Unconditionally. | Abhaya C. Nayak, Norman Y. Foo, Maurice Pagnucco, Abdul Sattar |
| 1995 | IJCAI | Determining Explanations using Transmutations. | Mary-Anne Williams, Maurice Pagnucco, Norman Y. Foo, Brailey Sims |
| 1993 | ICCS | Inverting Resolution with Conceptual Graphs. | Maurice Pagnucco, Norman Y. Foo |