| Deep learning for classification and localization of COVID-19 markers in point-of-care lung ultrasound S Roy, W Menapace, S Oei, B Luijten, E Fini, C Saltori, I Huijben, ... IEEE transactions on medical imaging 39 (8), 2676-2687, 2020 | 595 | 2020 |
| DISULFIND: a disulfide bonding state and cysteine connectivity prediction server A Ceroni, A Passerini, A Vullo, P Frasconi Nucleic acids research 34 (suppl_2), W177-W181, 2006 | 423 | 2006 |
| New results on error correcting output codes of kernel machines A Passerini, M Pontil, P Frasconi IEEE transactions on neural networks 15 (1), 45-54, 2004 | 203 | 2004 |
| Automatic semantics extraction in law documents C Biagioli, E Francesconi, A Passerini, S Montemagni, C Soria Proceedings of the 10th international conference on Artificial intelligence …, 2005 | 201 | 2005 |
| Brain–computer evolutionary multiobjective optimization: A genetic algorithm adapting to the decision maker R Battiti, A Passerini IEEE Transactions on Evolutionary Computation 14 (5), 671-687, 2010 | 167 | 2010 |
| Widespread uncoupling between transcriptome and translatome variations after a stimulus in mammalian cells T Tebaldi, A Re, G Viero, I Pegoretti, A Passerini, E Blanzieri, A Quattrone BMC genomics 13, 1-15, 2012 | 151 | 2012 |
| kFOIL: Learning simple relational kernels N Landwehr, A Passerini, L De Raedt, P Frasconi Aaai 6, 389-394, 2006 | 141 | 2006 |
| Probabilistic inference in hybrid domains by weighted model integration V Belle, A Passerini, G Van den Broeck IJCAI-15, 2015 | 132 | 2015 |
| Predicting zinc binding at the proteome level A Passerini, C Andreini, S Menchetti, A Rosato, P Frasconi BMC bioinformatics 8, 1-13, 2007 | 120 | 2007 |
| Identifying cysteines and histidines in transition‐metal‐binding sites using support vector machines and neural networks A Passerini, M Punta, A Ceroni, B Rost, P Frasconi Proteins: Structure, Function, and Bioinformatics 65 (2), 305-316, 2006 | 118 | 2006 |
| Learning constraints from examples L De Raedt, A Passerini, S Teso AAAI-18, 2018 | 99 | 2018 |
| MetalDetector v2. 0: predicting the geometry of metal binding sites from protein sequence A Passerini, M Lippi, P Frasconi Nucleic acids research 39 (suppl_2), W288-W292, 2011 | 79 | 2011 |
| Give more data, awareness and control to individual citizens, and they will help COVID-19 containment M Nanni, G Andrienko, AL Barabási, C Boldrini, F Bonchi, C Cattuto, ... Ethics and Information Technology 23 (1), 1-6, 2021 | 76 | 2021 |
| Machine learning for microbiologists F Asnicar, AM Thomas, A Passerini, L Waldron, N Segata Nature Reviews Microbiology 22 (4), 191-205, 2024 | 68 | 2024 |
| Hashing-Based Approximate Probabilistic Inference in Hybrid Domains. V Belle, G Van den Broeck, A Passerini UAI, 141-150, 2015 | 67 | 2015 |
| MetalDetector: a web server for predicting metal-binding sites and disulfide bridges in proteins from sequence M Lippi, A Passerini, M Punta, B Rost, P Frasconi Bioinformatics 24 (18), 2094-2095, 2008 | 67 | 2008 |
| Automatic classification of provisions in legislative texts E Francesconi, A Passerini Artificial Intelligence and Law 15, 1-17, 2007 | 67 | 2007 |
| Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities A Longa, V Lachi, G Santin, M Bianchini, B Lepri, P Lio, F Scarselli, ... Transactions on Machine Learning Research, 2023 | 66 | 2023 |
| Characterization of metalloproteins by high-throughput X-ray absorption spectroscopy W Shi, M Punta, J Bohon, JM Sauder, R D'Mello, M Sullivan, J Toomey, ... Genome Research 21 (6), 898-907, 2011 | 61 | 2011 |
| Learning SMT (LRA) Constraints using SMT Solvers. S Kolb, S Teso, A Passerini, L De Raedt IJCAI-18, 2018 | 59 | 2018 |
Stefano TesoSenior Assistant Professor, University of TrentoVerified email at unitn.it
