Select Publications

Book Chapters

Fan L; Ding Y; Fan D; Wu Y; Pagnucco M; Song Y, 2023, 'Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection', in , pp. 660 - 667, http://dx.doi.org/10.3233/FAIA230329

Xu Y; Pagnucco M; Song Y, 2023, 'DHG-GAN: Diverse Image Outpainting via Decoupled High Frequency Semantics', in , pp. 168 - 184, http://dx.doi.org/10.1007/978-3-031-26293-7_11

Guo R; Pagnucco M; Song Y, 2021, 'Learning with Noise: Mask-Guided Attention Model for Weakly Supervised Nuclei Segmentation', in Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, pp. 461 - 470, http://dx.doi.org/10.1007/978-3-030-87196-3_43

Cong C; Liu S; Di Ieva A; Pagnucco M; Berkovsky S; Song Y, 2021, 'Semi-supervised Adversarial Learning for Stain Normalisation in Histopathology Images', in Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, pp. 581 - 591, http://dx.doi.org/10.1007/978-3-030-87237-3_56

Ashar J; Ashmore J; Hall B; Harris S; Hengst B; Liu R; Mei Z; Pagnucco M; Roy R; Sammut C; Sushkov O; Teh B; Tsekouras L, 2015, 'RoboCup SPL 2014 Champion Team Paper', in RoboCup 2014: Robot World Cup XVIII, Springer International Publishing, pp. 70 - 81, http://dx.doi.org/10.1007/978-3-319-18615-3_6

Heap B; Pagnucco M, 2013, 'Repeated Sequential Single-Cluster Auctions with Dynamic Tasks for Multi-Robot Task Allocation with Pickup and Delivery', in Multiagent System Technologies, Springer Berlin Heidelberg, pp. 87 - 100, http://dx.doi.org/10.1007/978-3-642-40776-5_10

Vongbunyong S; Kara S; Pagnucco M, 2012, 'A Framework for Using Cognitive Robotics in Disassembly Automation', in Leveraging Technology for a Sustainable World, Springer Berlin Heidelberg, pp. 173 - 178, http://dx.doi.org/10.1007/978-3-642-29069-5_30

Pagnucco M, 2006, 'Isaac Levi on abduction', in Knowledge and inquiry, Cambridge university press, New York, pp. 143 - 156, http://dx.doi.org/10.1017/CBO9780511584312.012

Pagnucco M; Foo N, 1993, 'Inverting resolution with conceptual graphs', in Conceptual Graphs for Knowledge Representation, Springer Berlin Heidelberg, pp. 238 - 253, http://dx.doi.org/10.1007/3-540-56979-0_13


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