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 | 559 | 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 | 416 | 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 | 200 | 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 | 196 | 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 | 159 | 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 | 145 | 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 | 127 | 2015 |
Predicting zinc binding at the proteome level A Passerini, C Andreini, S Menchetti, A Rosato, P Frasconi BMC bioinformatics 8, 1-13, 2007 | 116 | 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 | 115 | 2006 |
Learning constraints from examples L De Raedt, A Passerini, S Teso AAAI-18, 2018 | 88 | 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 | 73 | 2021 |
Hashing-Based Approximate Probabilistic Inference in Hybrid Domains. V Belle, G Van den Broeck, A Passerini UAI, 141-150, 2015 | 66 | 2015 |
Automatic classification of provisions in legislative texts E Francesconi, A Passerini Artificial Intelligence and Law 15, 1-17, 2007 | 66 | 2007 |
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 | 65 | 2008 |
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 | 60 | 2011 |
Fast learning of relational kernels N Landwehr, A Passerini, L De Raedt, P Frasconi Machine learning 78, 305-342, 2010 | 55 | 2010 |
Active learning of Pareto fronts P Campigotto, A Passerini, R Battiti IEEE transactions on neural networks and learning systems 25 (3), 506-519, 2013 | 52 | 2013 |
Structured learning modulo theories S Teso, R Sebastiani, A Passerini Artificial Intelligence 244, 166-187, 2017 | 51 | 2017 |