Inverting Resolution with Conceptual Graphs. - Maurice Pagnucco; Norman Y. Foo (ICCS, 1993)

Abductive Reasoning, Belief Expansion and Nonmonotonic Cesequence. - Maurice Pagnucco; Abhaya C. Nayak; Norman Y. Foo (Deductive Databases / Abduction in Deductive Databases, 1995)

Determining Explanations using Transmutations. - Mary-Anne Williams; Maurice Pagnucco; Norman Y. Foo; Brailey Sims (IJCAI (1), 1995)

Definitional Constraints. - Norman Y. Foo; Abhaya C. Nayak; Maurice Pagnucco (ECAI, 1996)

Learning From Conditionals: Judy Benjamin's Other Problems. - Abhaya C. Nayak; Maurice Pagnucco; Norman Y. Foo; Pavlos Peppas (ECAI, 1996)

Revision vs. Update: Taking a Closer Look. - Pavlos Peppas; Abhaya C. Nayak; Maurice Pagnucco; Norman Y. Foo; Rex Bing Hung Kwok; Mikhail Prokopenko (ECAI, 1996)

Changing Conditional Belief Unconditionally. - Abhaya C. Nayak; Norman Y. Foo; Maurice Pagnucco; Abdul Sattar 001 (TARK, 1996)

Preferential Semantics for Causal Fixpoints. - Pavlos Peppas; Maurice Pagnucco; Mikhail Prokopenko; Norman Y. Foo (Australian Joint Conference on Artificial Intelligence, 1997)

Action Localness, Genericity and Invariants in STRIPS. - Norman Y. Foo; Abhaya C. Nayak; Maurice Pagnucco; Pavlos Peppas; Yan Zhang 003 (IJCAI (1), 1997)

Causal Propagation Semantics - A Study. - Mikhail Prokopenko; Maurice Pagnucco; Pavlos Peppas; Abhaya C. Nayak (Australian Joint Conference on Artificial Intelligence, 1999)

Diagrammatic Proofs. - Norman Y. Foo; Maurice Pagnucco; Abhaya C. Nayak (IJCAI, 1999)

Preferential Semantics for Causal Systems. - Pavlos Peppas; Maurice Pagnucco; Mikhail Prokopenko; Norman Y. Foo; Abhaya C. Nayak (IJCAI, 1999)

Severe Withdrawal (and Recovery). - Hans Rott; Maurice Pagnucco (J. Philos. Log., 1999)

A Unifying Semantics for Causal Ramifications. - Mikhail Prokopenko; Maurice Pagnucco; Pavlos Peppas; Abhaya C. Nayak (PRICAI, 2000)

State Minimization Re-visited. - Norman Y. Foo; Abhaya C. Nayak; Maurice Pagnucco; Dongmo Zhang (Australian Joint Conference on Artificial Intelligence, 2001)

Causality and Minimal Change Demystified. - Maurice Pagnucco; Pavlos Peppas (IJCAI, 2001)

A Trajectory Approach to Causality. - Victor Jauregui; Norman Y. Foo; Maurice Pagnucco (Stud Logica, 2001)

Prolegomenon to a Theory of Conservative Belief Revision. - James P. Delgrande; Abhaya C. Nayak; Maurice Pagnucco (IJCAI, 2003)

Dynamic belief revision operators. - Abhaya C. Nayak; Maurice Pagnucco; Pavlos Peppas (Artif. Intell., 2003)

Conservative Belief Revision. - James P. Delgrande; Abhaya C. Nayak; Maurice Pagnucco (AAAI, 2004)

Simplicity in Solving the Frame Problem. - Victor Jauregui; Maurice Pagnucco; Norman Y. Foo (ECAI, 2004)

Iterated Belief Change and Exogeneous Actions in the Situation Calculus. - Steven Shapiro; Maurice Pagnucco (ECAI, 2004)

On the Intended Interpretations of Actions. - Victor Jauregui; Maurice Pagnucco; Norman Y. Foo (PRICAI, 2004)

Inverse Resolution as Belief Change. - Maurice Pagnucco; David Rajaratnam (IJCAI, 2005)

Gricean Belief Change. - James P. Delgrande; Abhaya C. Nayak; Maurice Pagnucco (Stud Logica, 2005)

Knowledge Compilation for Belief Change. - Maurice Pagnucco (Australian Conference on Artificial Intelligence, 2006)

Implementing Iterated Belief Change Via Prime Implicates. - Zhi Qiang Zhuang; Maurice Pagnucco; Thomas Meyer 002 (Australian Conference on Artificial Intelligence, 2007)

Prime Implicates for Approximate Reasoning. - David Rajaratnam; Maurice Pagnucco (KSEM, 2007)

Exploiting Ontological Structure for Complex Preference Assembly. - Gil Chamiel; Maurice Pagnucco (Australasian Conference on Artificial Intelligence, 2008)

Belief Contraction in the Description Logic EL. - Zhi Qiang Zhuang; Maurice Pagnucco (Description Logics, 2009)

Realising Deterministic Behavior from Multiple Non-Deterministic Behaviors. - Thomas Ströder; Maurice Pagnucco (IJCAI, 2009)

Evaluating Sequential Single-Item Auctions for Dynamic Task Allocation. - Adrian Schoenig; Maurice Pagnucco (Australasian Conference on Artificial Intelligence, 2010)

Two Methods for Constructing Horn Contractions. - Zhi Qiang Zhuang; Maurice Pagnucco (Australasian Conference on Artificial Intelligence, 2010)

Horn Contraction via Epistemic Entrenchment. - Zhi Qiang Zhuang; Maurice Pagnucco (JELIA, 2010)

How to Plan When Being Deliberately Misled. - Maurice Pagnucco; David Rajaratnam; Hannes Strass; Michael Thielscher (Automated Action Planning for Autonomous Mobile Robots, 2011)

Executability in the Situation Calculus. - Timothy Joseph Cerexhe; Maurice Pagnucco (Australasian Conference on Artificial Intelligence, 2011)

Sequential Single-Cluster Auctions for Robot Task Allocation. - Bradford Heap; Maurice Pagnucco (Australasian Conference on Artificial Intelligence, 2011)

From Approximate Clausal Reasoning to Problem Hardness. - David Rajaratnam; Maurice Pagnucco (Australasian Conference on Artificial Intelligence, 2011)

Transitively Relational Partial Meet Horn Contraction. - Zhi Qiang Zhuang; Maurice Pagnucco (IJCAI, 2011)

Iterated belief change in the situation calculus. - Steven Shapiro; Maurice Pagnucco; Yves Lespérance; Hector J. Levesque (Artif. Intell., 2011)

Repeated Sequential Auctions with Dynamic Task Clusters. - Bradford Gregory John Heap; Maurice Pagnucco (AAAI, 2012)

Analysis of Cluster Formation Techniques for Multi-robot Task Allocation Using Sequential Single-Cluster Auctions. - Bradford Heap; Maurice Pagnucco (Australasian Conference on Artificial Intelligence, 2012)

Model Based Horn Contraction. - Zhi Qiang Zhuang; Maurice Pagnucco (KR, 2012)

Definability of Horn Revision from Horn Contraction. - Zhi Qiang Zhuang; Maurice Pagnucco; Yan Zhang 003 (IJCAI, 2013)

Implementing Belief Change in the Situation Calculus and an Application. - Maurice Pagnucco; David Rajaratnam; Hannes Strass; Michael Thielscher (LPNMR, 2013)

Repeated Sequential Single-Cluster Auctions with Dynamic Tasks for Multi-Robot Task Allocation with Pickup and Delivery. - Bradford Heap; Maurice Pagnucco (MATES, 2013)

Repeated Auctions for Reallocation of Tasks with Pickup and Delivery upon Robot Failure. - Bradford Heap; Maurice Pagnucco (PRIMA, 2013)

A Framework for Task Planning in Heterogeneous Multi Robot Systems Based on Robot Capabilities. - Jennifer Elisabeth Buehler; Maurice Pagnucco (AAAI, 2014)

Minimising Undesired Task Costs in Multi-Robot Task Allocation Problems with In-Schedule Dependencies. - Bradford Heap; Maurice Pagnucco (AAAI, 2014)

Planning and Execution of Robot Tasks Based on a Platform-Independent Model of Robot Capabilities. - Jennifer Elisabeth Buehler; Maurice Pagnucco (ECAI, 2014)

Forgetting in Action. - David Rajaratnam; Hector J. Levesque; Maurice Pagnucco; Michael Thielscher (KR, 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; et al. (RoboCup, 2014)

Entrenchment-Based Horn Contraction. - Zhiqiang Zhuang; Maurice Pagnucco (J. Artif. Intell. Res., 2014)

Termination Approximation: Continuous State Decomposition for Hierarchical Reinforcement Learning. - Sean Harris; Bernhard Hengst; Maurice Pagnucco (AAAI Workshop: Knowledge, Skill, and Behavior Transfer in Autonomous Robots, 2015)

General plans for removing main components in cognitive robotic disassembly automation. - Supachai Vongbunyong; Sami Kara; Maurice Pagnucco (ICARA, 2015)

Belief Revision and Progression of Knowledge Bases in the Epistemic Situation Calculus. - Christoph Schwering; Gerhard Lakemeyer; Maurice Pagnucco (IJCAI, 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 (RoboCup, 2015)

Composability in Cognitive Hierarchies. - David Rajaratnam; Bernhard Hengst; Maurice Pagnucco; Claude Sammut; Michael Thielscher (Australasian Conference on Artificial Intelligence, 2016)

A Framework for Integrating Symbolic and Sub-Symbolic Representations. - Keith Clark; Bernhard Hengst; Maurice Pagnucco; David Rajaratnam; Peter Robinson 007; Claude Sammut; Michael Thielscher (IJCAI, 2016)

Anomaly-free policy composition in software-defined networks. - Mohsen Rezvani; Aleksandar Ignjatovic; Maurice Pagnucco; Sanjay K. Jha (Networking, 2016)

Vision-Based Execution Monitoring of State Transition in Disassembly Automation. - Supachai Vongbunyong; Maurice Pagnucco; Sami Kara (Int. J. Autom. Technol., 2016)

Belief revision and projection in the epistemic situation calculus. - Christoph Schwering; Gerhard Lakemeyer; Maurice Pagnucco (Artif. Intell., 2017)

Inter-Definability of Horn Contraction and Horn Revision. - Zhiqiang Zhuang; Maurice Pagnucco; Yan Zhang 003 (J. Philos. Log., 2017)

A Representation Theorem for Reasoning in First-Order Multi-Agent Knowledge Bases. - Christoph Schwering; Maurice Pagnucco (AAMAS, 2019)

Perceptual Context in Cognitive Hierarchies. - Bernhard Hengst; Maurice Pagnucco; David Rajaratnam; Claude Sammut; Michael Thielscher (Description Logic, Theory Combination, and All That, 2019)

Exploring Human Machine-Mediated Interaction for Applications in Social HRI. - Anna A. Trofimova; Timothy Wiley; Maurice Pagnucco; Mari Velonaki (OZCHI, 2019)

Analyzing XACML policies using answer set programming. - Mohsen Rezvani; David Rajaratnam; Aleksandar Ignjatovic; Maurice Pagnucco; Sanjay Jha 001 (Int. J. Inf. Sec., 2019)

Non-monotonic Reasoning for Machine Ethics with Situation Calculus. - Raynaldio Limarga; Maurice Pagnucco; Yang Song 001; Abhaya Nayak (Australasian Conference on Artificial Intelligence, 2020)

An Improved Discriminator for GAN-Based Trajectory Prediction Models. - Renhao Huang; Yang Song 001; Maurice Pagnucco (DICTA, 2020)

Towards Enforcing Social Distancing Regulations with Occlusion-Aware Crowd Detection. - Cong Cong; Zhichao Yang 003; Yang Song 001; Maurice Pagnucco (ICARCV, 2020)

Epistemic Reasoning for Machine Ethics with Situation Calculus. - Maurice Pagnucco; David Rajaratnam; Raynaldio Limarga; Abhaya Nayak; Yang Song 001 (AIES, 2021)

Dynamic Graph Warping Transformer for Video Alignment. - Junyan Wang 001; Yang Long 001; Maurice Pagnucco; Yang Song 001 (BMVC, 2021)

Edge Guided Progressively Generative Image Outpainting. - Han Lin; Maurice Pagnucco; Yang Song 001 (CVPR Workshops, 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 001 (ISBI, 2021)

Semi-supervised Adversarial Learning for Stain Normalisation in Histopathology Images. - Cong Cong; Sidong Liu; Antonio Di Ieva; Maurice Pagnucco; Shlomo Berkovsky; Yang Song 001 (MICCAI (8), 2021)

Learning with Noise: Mask-Guided Attention Model for Weakly Supervised Nuclei Segmentation. - Ruoyu Guo; Maurice Pagnucco; Yang Song 001 (MICCAI (2), 2021)

Discriminative Latent Semantic Graph for Video Captioning. - Yang Bai; Junyan Wang 001; Yang Long 001; Bingzhang Hu; Yang Song 001; Maurice Pagnucco; Yu Guan (ACM Multimedia, 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)

Automated generation and execution of disassembly actions. - Wei Hua Chen; Gwendolyn Foo; Sami Kara; Maurice Pagnucco (Robotics Comput. Integr. Manuf., 2021)

DHG-GAN: Diverse Image Outpainting via Decoupled High Frequency Semantics. - Yiwen Xu; Maurice Pagnucco; Yang Song 001 (ACCV (7), 2022)

Towards Unified Multi-Excitation for Unsupervised Video Prediction. - Junyan Wang 001; Likun Qin; Peng Zhang 058; Yang Long 001; Bingzhang Hu; Maurice Pagnucco; Shizheng Wang; Yang Song 001 (BMVC, 2022)

GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive Recognition of Cereal Grains. - Lei Fan 007; Yiwen Ding; Dongdong Fan; Donglin Di; Maurice Pagnucco; Yang Song 001 (CVPR, 2022)

Graph-based Spatial Transformer with Memory Replay for Multi-future Pedestrian Trajectory Prediction. - Lihuan Li; Maurice Pagnucco; Yang Song 001 (CVPR, 2022)

Epistemic Logic of Likelihood and Belief. - James P. Delgrande; Joshua Sack; Gerhard Lakemeyer; Maurice Pagnucco (IJCAI, 2022)

CoGNet: Cooperative Graph Neural Networks. - Peibo Li; Yixing Yang; Maurice Pagnucco; Yang Song 001 (IJCNN, 2022)

Imbalanced Histopathology Image Classification Using Deep Feature Graph Attention Network. - Cong Cong; Yixing Yang; Sidong Liu; Maurice Pagnucco; Yang Song 001 (ISBI, 2022)

Two-Stage Topological Refinement Network for Retinal Artery/Vein Classification. - Shichen Luo; Zhan Heng; Maurice Pagnucco; Yang Song 001 (ISBI, 2022)

Adaptive Unified Contrastive Learning for Imbalanced Classification. - Cong Cong; Yixing Yang; Sidong Liu; Maurice Pagnucco; Antonio Di Ieva; Shlomo Berkovsky; Yang Song 001 (MLMI@MICCAI, 2022)

Electron Microscope Image Registration Using Laplacian Sharpening Transformer U-Net. - Kunzi Xie; Yixing Yang; Maurice Pagnucco; Yang Song 001 (MICCAI (6), 2022)

Explainability in Graph Neural Networks: An Experimental Survey. - Peibo Li; Yixing Yang; Maurice Pagnucco; Yang Song 001 (CoRR, 2022)

Colour adaptive generative networks for stain normalisation of histopathology images. - Cong Cong; Sidong Liu; Antonio Di Ieva; Maurice Pagnucco; Shlomo Berkovsky; Yang Song 001 (Medical Image Anal., 2022)

Epistemic Reasoning in Computational Machine Ethics. - Raynaldio Limarga; Yang Song 001; Maurice Pagnucco; David Rajaratnam (AI (2), 2023)

Towards Single Source Domain Generalisation in Trajectory Prediction: A Motion Prior based Approach. - Renhao Huang; Anthony Tompkins; Maurice Pagnucco; Yang Song 001 (CoLLAs, 2023)

Adaptive Local Prototype and Cycle Attention for Few-shot Medical Image Segmentation. - Shenyang Qian; Maurice Pagnucco; Yang Song 001 (DICTA, 2023)

Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection. - Lei Fan 007; Yiwen Ding; Dongdong Fan; Yong Wu; Maurice Pagnucco; Yang Song 001 (ECAI, 2023)

Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition. - Junyan Wang 001; Zhenhong Sun; Yichen Qian; Dong Gong; Xiuyu Sun; Ming C. Lin; Maurice Pagnucco; Yang Song 001 (ICLR, 2023)

A Symbolic-Neural Reasoning Model for Visual Question Answering. - Jingying Gao; Alan Blair; Maurice Pagnucco (IJCNN, 2023)

Community-Aware Federated Video Summarization. - Fan Wan; Junyan Wang 001; Haoran Duan 001; Yang Song 001; Maurice Pagnucco; Yang Long 001 (IJCNN, 2023)

HyperTraj: Towards Simple and Fast Scene-Compliant Endpoint Conditioned Trajectory Prediction. - Renhao Huang; Maurice Pagnucco; Yang Song 001 (IROS, 2023)

Self-training with Domain-Mixed Data for Few-Shot Domain Adaptation in Medical Image Segmentation Tasks. - Yongze Wang; Maurice Pagnucco; Yang Song 001 (MLMI@MICCAI (1), 2023)

Draw2Edit: Mask-Free Sketch-Guided Image Manipulation. - Yiwen Xu; Ruoyu Guo; Maurice Pagnucco; Yang Song 001 (ACM Multimedia, 2023)

LoRA: A Logical Reasoning Augmented Dataset for Visual Question Answering. - Jingying Gao; Qi Wu 001; Alan Blair; Maurice Pagnucco (NeurIPS, 2023)

Multimodal Trajectory Prediction: A Survey. - Renhao Huang; Hao Xue 001; Maurice Pagnucco; Flora D. Salim; Yang Song 001 (CoRR, 2023)

Online Learning and Planning in Cognitive Hierarchies. - Bernhard Hengst; Maurice Pagnucco; David Rajaratnam; Claude Sammut; Michael Thielscher (CoRR, 2023)

DARNet: Bridging Domain Gaps in Cross-Domain Few-Shot Segmentation with Dynamic Adaptation. - Haoran Fan; Qi Fan; Maurice Pagnucco; Yang Song 001 (CoRR, 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)

InterREC: An Interpretable Method for Referring Expression Comprehension. - Wenbin Wang; Maurice Pagnucco; Chengpei Xu; Yang Song 001 (IEEE Trans. Multim., 2023)

Multi-scale multi-reception attention network for bone age assessment in X-ray images. - Zhichao Yang 003; Cong Cong; Maurice Pagnucco; Yang Song 001 (Neural Networks, 2023)

SAC-Net: Learning with weak and noisy labels in histopathology image segmentation. - Ruoyu Guo; Kunzi Xie; Maurice Pagnucco; Yang Song 001 (Medical Image Anal., 2023)

An edge guided coarse-to-fine generative network for image outpainting. - Yiwen Xu; Maurice Pagnucco; Yang Song 001 (Neurocomputing, 2023)

Decoupled Optimisation for Long-Tailed Visual Recognition. - Cong Cong; Shiyu Xuan; Sidong Liu; Shiliang Zhang; Maurice Pagnucco; Yang Song 001 (AAAI, 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 001 (ECAI, 2024)

Enriching Degradation Features for Fundus Image Enhancement via Multi-colour Dynamic Filter Network. - Ruoyu Guo; Maurice Pagnucco; Yang Song 001 (ICONIP (8), 2024)

Formalisation and Evaluation of Properties for Consequentialist Machine Ethics. - Raynaldio Limarga; Yang Song 001; Abhaya Nayak; David Rajaratnam; Maurice Pagnucco (IJCAI, 2024)

Explainable Visual Question Answering via Hybrid Neural-Logical Reasoning. - Jingying Gao; Alan Blair; Maurice Pagnucco (IJCNN, 2024)

Vascular Topology Rectification Network for Automated Retinal Artery/Vein Segmentation. - Zhan Heng; Maurice Pagnucco; Erik Meijering; Yang Song 001 (ISBI, 2024)

Meta-Transfer Learning for Few-Shot Meningioma Segmentation. - Shenghui Yan; Sidong Liu; Antonio Di Ieva; Maurice Pagnucco; Yang Song 001 (ISBI, 2024)

XTranPrune: eXplainability-Aware Transformer Pruning for Bias Mitigation in Dermatological Disease Classification. - Ali Ghadiri; Maurice Pagnucco; Yang Song 001 (MICCAI (10), 2024)

Fully Distributed, Flexible Compositional Visual Representations via Soft Tensor Products. - Bethia Sun; Maurice Pagnucco; Yang Song 001 (NeurIPS, 2024)

An annotated grain kernel image database for visual quality inspection. - Lei Fan 007; Yiwen Ding; Dongdong Fan; Yong Wu; Hongxia Chu; Maurice Pagnucco; Yang Song 001 (CoRR, 2024)

Dataset Distillation for Histopathology Image Classification. - Cong Cong; Shiyu Xuan; Sidong Liu; Maurice Pagnucco; Shiliang Zhang; Yang Song 001 (CoRR, 2024)

Soft Tensor Product Representations for Fully Continuous, Compositional Visual Representations. - Bethia Sun; Maurice Pagnucco; Yang Song 001 (CoRR, 2024)

Revitalizing Reconstruction Models for Multi-class Anomaly Detection via Class-Aware Contrastive Learning. - Lei Fan 007; Junjie Huang; Donglin Di; Anyang Su; Maurice Pagnucco; Yang Song 001 (CoRR, 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 001 (Expert Syst. Appl., 2024)

Multi-degradation-adaptation network for fundus image enhancement with degradation representation learning. - Ruoyu Guo; Yiwen Xu; Anthony Tompkins; Maurice Pagnucco; Yang Song 001 (Medical Image Anal., 2024)

Deconfounding Causal Inference for Zero-Shot Action Recognition. - Junyan Wang 001; Yiqi Jiang; Yang Long 001; Xiuyu Sun; Maurice Pagnucco; Yang Song 001 (IEEE Trans. Multim., 2024)

AV4GAInsp: An Efficient Dual-Camera System for Identifying Defective Kernels of Cereal Grains. - Lei Fan 007; Dongdong Fan; Yiwen Ding; Yong Wu; Hongxia Chu; Maurice Pagnucco; Yang Song 001 (IEEE Robotics Autom. Lett., 2024)

Fully Decoupling Trajectory and Scene Encoding for Lightweight Heatmap-Oriented Trajectory Prediction. - Renhao Huang; Jingtao Ding; Maurice Pagnucco; Yang Song 001 (IEEE Robotics Autom. Lett., 2024)

Structure based SAT dataset for analysing GNN generalisation. - Yi Fu; Anthony Tompkins; Yang Song 001; Maurice Pagnucco (AISTATS, 2025)

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects. - Lei Fan 007; Dongdong Fan; Zhiguang Hu; Yiwen Ding; Donglin Di; Kai Yi; Maurice Pagnucco; Yang Song 001 (CVPR, 2025)

Prototype-Based Image Prompting for Weakly Supervised Histopathological Image Segmentation. - Qingchen Tang; Lei Fan 007; Maurice Pagnucco; Yang Song 001 (CVPR, 2025)

Interpretable Image Classification via Non-parametric Part Prototype Learning. - Zhijie Zhu; Lei Fan 007; Maurice Pagnucco; Yang Song 001 (CVPR, 2025)

Multimodal Weakly Supervised Segmentation for Histopathology. - Sicong Gao; Matthew AB Baker; Maurice Pagnucco; Yang Song 001 (ISBI, 2025)

Unsupervised domain adaptation with multi-level distillation boost and adaptive mask for medical image segmentation. - Yongze Wang; Lei Fan 007; Maurice Pagnucco; Yang Song 001 (Comput. Biol. Medicine, 2025)

Computational Machine Ethics: A Survey. - Tammy Zhong; Yang Song 001; Raynaldio Limarga; Maurice Pagnucco (J. Artif. Intell. Res., 2025)

Temporal Alignment of Time Sensitive Facts with Activation Engineering. - Sanjay Govindan; Maurice Pagnucco; Yang Song 001 (CoRR, 2025)

GrainBrain: Multiview Identification and Stratification of Defective Grain Kernels. - Lei Fan 007; Dongdong Fan; Yiwen Ding; Yong Wu; Donglin Di; Maurice Pagnucco; Yang Song 001 (IEEE Trans. Ind. Informatics, 2025)

Vision-Based Multi-Future Trajectory Prediction: A Survey. - Renhao Huang; Hao Xue 001; Maurice Pagnucco; Flora D. Salim; Yang Song 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)