| Nanoscale molecular reorganization of the inhibitory postsynaptic density is a determinant of GABAergic synaptic potentiation F Pennacchietti, S Vascon, T Nieus, C Rosillo, S Das, SK Tyagarajan, ... Journal of Neuroscience 37 (7), 1747-1756, 2017 | 114 | 2017 |
| Wild patterns reloaded: A survey of machine learning security against training data poisoning AE Ciną, K Grosse, A Demontis, S Vascon, W Zellinger, BA Moser, ... ACM Computing Surveys 55 (13s), 1-39, 2023 | 102 | 2023 |
| A game-theoretic probabilistic approach for detecting conversational groups S Vascon, EZ Mequanint, M Cristani, H Hung, M Pelillo, V Murino Computer Vision--ACCV 2014: 12th Asian Conference on Computer Vision …, 2015 | 75 | 2015 |
| Detecting conversational groups in images and sequences: A robust game-theoretic approach S Vascon, EZ Mequanint, M Cristani, H Hung, M Pelillo, V Murino Computer Vision and Image Understanding 143, 11-24, 2016 | 73 | 2016 |
| The Group Loss for Deep Metric Learning I Elezi, S Vascon, A Torcinovich, M Pelillo, L Leal-Taixe European Conference on Computer Vision, 2020 | 66 | 2020 |
| Detecting emergent leader in a meeting environment using nonverbal visual features only C Beyan, N Carissimi, F Capozzi, S Vascon, M Bustreo, A Pierro, ... Proceedings of the 18th ACM international conference on multimodal …, 2016 | 57 | 2016 |
| Transductive Label Augmentation for Improved Deep Network Learning I Elezi, A Torcinovich, S Vascon, M Pelillo Pattern Recognition (ICPR), 2018 24th International Conference on, 2018 | 34 | 2018 |
| Protein function prediction as a graph-transduction game S Vascon, M Frasca, R Tripodi, G Valentini, M Pelillo Pattern Recognition Letters 134, 96-105, 2020 | 23 | 2020 |
| Locality-aware subgraphs for inductive link prediction in knowledge graphs HA Mohamed, D Pilutti, S James, A Del Bue, M Pelillo, S Vascon Pattern Recognition Letters 167, 90-97, 2023 | 22 | 2023 |
| Two sides of the same coin: Improved ancient coin classification using Graph Transduction Games S Aslan, S Vascon, M Pelillo Pattern Recognition Letters 131, 158-165, 2020 | 22 | 2020 |
| Automated multi-subject fiber clustering of mouse brain using dominant sets L Dodero, S Vascon, V Murino, A Bifone, A Gozzi, D Sona Frontiers in neuroinformatics 8, 87, 2015 | 21 | 2015 |
| Context aware nonnegative matrix factorization clustering R Tripodi, S Vascon, M Pelillo 2016 23rd International Conference on Pattern Recognition (ICPR), 1719-1724, 2016 | 18 | 2016 |
| The hammer and the nut: Is bilevel optimization really needed to poison linear classifiers? AE Ciną, S Vascon, A Demontis, B Biggio, F Roli, M Pelillo 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 16 | 2021 |
| Backdoor learning curves: Explaining backdoor poisoning beyond influence functions AE Ciną, K Grosse, S Vascon, A Demontis, B Biggio, F Roli, M Pelillo International Journal of Machine Learning and Cybernetics, 1-26, 2024 | 15 | 2024 |
| Deep Learning for Table Detection and Structure Recognition: A Survey ITE Mahmoud Kasem , Abdelrahman Abdallah , Alexander Berendeyev , Ebrahem ... ACM Computing Surveys, 2024 | 15* | 2024 |
| The group loss++: A deeper look into group loss for deep metric learning I Elezi, J Seidenschwarz, L Wagner, S Vascon, A Torcinovich, M Pelillo, ... IEEE transactions on pattern analysis and machine intelligence 45 (2), 2505-2518, 2022 | 14 | 2022 |
| Automatic white matter fiber clustering using dominant sets L Dodero, S Vascon, L Giancardo, A Gozzi, D Sona, V Murino 2013 International Workshop on Pattern Recognition in Neuroimaging, 216-219, 2013 | 13 | 2013 |
| Unsupervised Domain Adaptation using Graph Transduction Games S Vascon, S Aslan, A Torcinovich, T van Laarhoven, E Marchiori, M Pelillo 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 12 | 2019 |
| A stable graph-based representation for object recognition through high-order matching A Albarelli, F Bergamasco, L Rossi, S Vascon, A Torsello Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 11 | 2012 |
| Group detection and tracking using sociological features S Vascon, L Bazzani Group and crowd behavior for computer vision, 29-66, 2017 | 10 | 2017 |
Marcello PelilloProfessor of Computer Science, FIEEE, FIAPR, FAAIA, Ca' Foscari University of VeniceEmail verificata su dsi.unive.it
