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How adversarial attacks can disrupt seemingly stable accurate classifiers.

Autor: Sutton OJ; Department of Mathematics, King's College London, London, UK. Electronic address: oliver.sutton@kcl.ac.uk., Zhou Q; Department of Mathematics, King's College London, London, UK., Tyukin IY; Department of Mathematics, King's College London, London, UK., Gorban AN; School of Computing and Mathematical Sciences, University of Leicester, Leicester, UK., Bastounis A; Department of Mathematics, King's College London, London, UK., Higham DJ; School of Mathematics, University of Edinburgh, Edinburgh, UK.

Publikováno v: Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2024 Dec; Vol. 180, pp. 106711. Date of Electronic Publication: 2024 Sep 12.

MyI-Net: Fully Automatic Detection and Quantification of Myocardial Infarction from Cardiovascular MRI Images.

Autor: Wang S; Department of Cardiovascular Sciences, University of LeicesterGlenfield Hospital, Leicester LE3 9QP, UK.; The NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester LE3 9QP, UK.; School of Computing and Mathematical Sciences, University of Leicester, Leicester LE1 7RH, UK., Abdelaty AMSEK; Department of Cardiovascular Sciences, University of LeicesterGlenfield Hospital, Leicester LE3 9QP, UK.; The NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester LE3 9QP, UK., Parke K; Department of Cardiovascular Sciences, University of LeicesterGlenfield Hospital, Leicester LE3 9QP, UK.; The NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester LE3 9QP, UK., Arnold JR; Department of Cardiovascular Sciences, University of LeicesterGlenfield Hospital, Leicester LE3 9QP, UK.; The NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester LE3 9QP, UK., McCann GP; Department of Cardiovascular Sciences, University of LeicesterGlenfield Hospital, Leicester LE3 9QP, UK.; The NIHR Leicester Biomedical Research Centre, Glenfield Hospital, Leicester LE3 9QP, UK., Tyukin IY; Department of Mathematics, King's College London, London WC2R 2LS, UK.; Department of Geoscience and Petroleum, Norwegian University of Science and Technology, 7491 Trondheim, Norway.; Department of Automation and Control Processes, Saint-Petersburg State Electrotechnical University, 197022 Saint-Petersburg, Russia.; Laboratory of Advanced Methods for High-Dimensional Data Analysis, Lobachevsky University, 603105 Nizhni Novgorod, Russia.

Publikováno v: Entropy (Basel, Switzerland) [Entropy (Basel)] 2023 Feb 28; Vol. 25 (3). Date of Electronic Publication: 2023 Feb 28.

High-Dimensional Separability for One- and Few-Shot Learning.

Autor: Gorban AN; Department of Mathematics, University of Leicester, Leicester LE1 7RH, UK.; Laboratory of Advanced Methods for High-Dimensional Data Analysis, Lobachevsky University, 603105 Nizhni Novgorod, Russia., Grechuk B; Department of Mathematics, University of Leicester, Leicester LE1 7RH, UK., Mirkes EM; Department of Mathematics, University of Leicester, Leicester LE1 7RH, UK.; Laboratory of Advanced Methods for High-Dimensional Data Analysis, Lobachevsky University, 603105 Nizhni Novgorod, Russia., Stasenko SV; Laboratory of Advanced Methods for High-Dimensional Data Analysis, Lobachevsky University, 603105 Nizhni Novgorod, Russia., Tyukin IY; Department of Mathematics, University of Leicester, Leicester LE1 7RH, UK.; Laboratory of Advanced Methods for High-Dimensional Data Analysis, Lobachevsky University, 603105 Nizhni Novgorod, Russia.; Department of Geoscience and Petroleum, Norwegian University of Science and Technology, 7491 Trondheim, Norway.

Publikováno v: Entropy (Basel, Switzerland) [Entropy (Basel)] 2021 Aug 22; Vol. 23 (8). Date of Electronic Publication: 2021 Aug 22.