Andrea Passerini
Cited by
Cited by
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
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
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
Automatic semantics extraction in law documents
C Biagioli, E Francesconi, A Passerini, S Montemagni, C Soria
Proceedings of the 10th international conference on Artificial intelligenceá…, 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
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
kFOIL: Learning simple relational kernels
N Landwehr, A Passerini, L De Raedt, P Frasconi
Aaai 6, 389-394, 2006
Probabilistic inference in hybrid domains by weighted model integration
V Belle, A Passerini, G Van den Broeck
IJCAI-15, 2015
Predicting zinc binding at the proteome level
A Passerini, C Andreini, S Menchetti, A Rosato, P Frasconi
BMC bioinformatics 8, 1-13, 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
Learning constraints from examples
L De Raedt, A Passerini, S Teso
AAAI-18, 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
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment
M Nanni, G Andrienko, AL Barabßsi, C Boldrini, F Bonchi, C Cattuto, ...
Ethics and Information Technology 23 (1), 1-6, 2021
Hashing-Based Approximate Probabilistic Inference in Hybrid Domains.
V Belle, G Van den Broeck, A Passerini
UAI, 141-150, 2015
Automatic classification of provisions in legislative texts
E Francesconi, A Passerini
Artificial Intelligence and Law 15, 1-17, 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
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
Fast learning of relational kernels
N Landwehr, A Passerini, L De Raedt, P Frasconi
Machine learning 78, 305-342, 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
Learning SMT (LRA) Constraints using SMT Solvers.
S Kolb, S Teso, A Passerini, L De Raedt
IJCAI-18, 2018
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