Select Publications

Journal articles

Xu Y; Pagnucco M; Song Y, 2023, 'An edge guided coarse-to-fine generative network for image outpainting', Neurocomputing, 541, pp. 126254 - 126254,

Guo R; Xie K; Pagnucco M; Song Y, 2023, 'SAC-Net: Learning with weak and noisy labels in histopathology image segmentation', Medical Image Analysis, 86, pp. 102790,

Foo G; Kara S; Pagnucco M, 2023, 'Artificial Learning for Part Identification in Robotic Disassembly Through Automatic Rule Generation in an Ontology', IEEE Transactions on Automation Science and Engineering, 20, pp. 296 - 309,

Wang W; Pagnucco M; Xu C; Song Y, 2023, 'InterREC: An Interpretable Method for Referring Expression Comprehension', IEEE Transactions on Multimedia, pp. 1 - 13,

Yang Z; Cong C; Pagnucco M; Song Y, 2023, 'Multi-scale multi-reception attention network for bone age assessment in X-ray images', Neural Networks, 158, pp. 249 - 257,

Cong C; Liu S; Di Ieva A; Pagnucco M; Berkovsky S; Song Y, 2022, 'Colour adaptive generative networks for stain normalisation of histopathology images', Medical Image Analysis, 82, pp. 102580,

Chen WH; Foo G; Kara S; Pagnucco M, 2021, 'Automated generation and execution of disassembly actions', Robotics and Computer-Integrated Manufacturing, 68,

Foo G; Kara S; Pagnucco M, 2021, 'An ontology-based method for semi-automatic disassembly of lcd monitors and unexpected product types', International Journal of Automation Technology, 15, pp. 168 - 181,

Chen WH; Foo G; Kara S; Pagnucco M, 2020, 'Application of a multi-head tool for robotic disassembly', Procedia CIRP, 90, pp. 630 - 635,

Rezvani M; Rajaratnam D; Ignjatovic A; Pagnucco M; Jha S, 2019, 'Analyzing XACML policies using answer set programming', International Journal of Information Security, 18, pp. 465 - 479,

Zhuang Z; Pagnucco M; Zhang Y, 2017, 'Inter-Definability of Horn Contraction and Horn Revision', Journal of Philosophical Logic, 46, pp. 299 - 332,

Schwering C; Pagnucco M; Lakemeyer G, 2017, 'Belief revision and projection in the epistemic situation calculus', Artificial Intelligence, 251, pp. 62 - 97,

Kara S; Vongbunyong S; Pagnucco M, 2016, 'Vision-based execution monitoring of state transition in disassembly automation', International Journal of Automation Technology, 10, pp. 708 - 716,

Vongbunyong S; Kara S; Pagnucco M, 2015, 'Learning and revision in cognitive robotics disassembly automation', Robotics and Computer-Integrated Manufacturing, 34, pp. 79 - 94,

Nakata NM; Hamacher DW; Warren J; Byrne A; Pagnucco M; Harley R; Venugopal S; Thorpe K; Neville R; Bolt R, 2014, 'Using Modern Technologies to Capture and Share Indigenous Astronomical Knowledge', Australian Academic & Research Libraries, 45, pp. 101 - 110,

Zhuang Z; Pagnucco M, 2014, 'Entrenchment-Based Horn Contraction', JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 51, pp. 227 - 254,

Vongbunyong S; Kara S; Pagnucco M, 2013, 'Application of cognitive robotics in disassembly of products', CIRP Annals - Manufacturing Technology, 62, pp. 31 - 34,

Vongbunyong S; Kara S; Pagnucco M, 2013, 'Basic behaviour control of the vision-based cognitive robotic disassembly automation', Assembly Automation, 33, pp. 38 - 56,

Burgard W; Konolige K; Pagnucco M; Vassos S, 2012, 'AAAI Workshop - Technical Report: Preface', AAAI Workshop - Technical Report, WS-12-06

Shapiro S; Pagnucco M; Lesperance Y; Levesque HJ, 2011, 'Iterated belief change in the situation calculus', Artificial Intelligence, 175, pp. 165 - 192,

Delgrande J; Nayak A; Pagnucco M, 2005, 'Gricean belief change', Studia Logica, 79(1), pp. 97 - 113,

Nayak A; Pagnucco M; Peppas P, 2003, 'Dynamic Belief Revision Operators', Artificial Intelligence, 146(2), pp. 193 - 228,

Pagnucco M; Peppas P, 2001, 'Causality and minimal change demystified', IJCAI International Joint Conference on Artificial Intelligence, pp. 125 - 130

Pagnucco M; Jauregui V; Foo N, 2001, 'A Trajectory Approach to Causality', Studia Logica, 67, pp. 385 - 401,

Rott H; Pagnucco M, 1999, 'Severe withdrawal (and recovery)', Journal of Philosophical Logic, 28, pp. 501 - 547,

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