Andrea Passerini
Andrea Passerini
Associate Professor, University of Trento
Verified email at disi.unitn.it - Homepage
Title
Cited by
Cited by
Year
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
3332006
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
1732004
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
1532005
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
1312010
kFOIL: Learning simple relational kernels
N Landwehr, A Passerini, L De Raedt, P Frasconi
Aaai 6, 389-394, 2006
1262006
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), 1-15, 2012
1022012
Predicting zinc binding at the proteome level
A Passerini, C Andreini, S Menchetti, A Rosato, P Frasconi
BMC bioinformatics 8 (1), 39, 2007
912007
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
902006
Probabilistic inference in hybrid domains by weighted model integration
V Belle, A Passerini, G Van den Broeck
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
692015
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
542011
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
502008
Hashing-based approximate probabilistic inference in hybrid domains
V Belle, G Van den Broeck, A Passerini
Proceedings of the 31st Conference on Uncertainty in Artificial Intelligence …, 2015
482015
A two-stage SVM architecture for predicting the disulfide bonding state of cysteines
P Frasconi, A Passerini, A Vullo
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal …, 2002
482002
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
432011
Fast learning of relational kernels
N Landwehr, A Passerini, L De Raedt, P Frasconi
Machine learning 78 (3), 305-342, 2010
422010
Automatic classification of provisions in legislative texts
E Francesconi, A Passerini
Artificial Intelligence and Law 15 (1), 1-17, 2007
422007
Kernels on prolog proof trees: Statistical learning in the ILP setting
A Passerini, P Frasconi, LD Raedt
Journal of Machine Learning Research 7 (Feb), 307-342, 2006
402006
Predicting the disulfide bonding state of cysteines with combinations of kernel machines
A Ceroni, P Frasconi, A Passerini, A Vullo
Journal of VLSI signal processing systems for signal, image and video …, 2003
362003
Structured learning modulo theories
S Teso, R Sebastiani, A Passerini
Artificial Intelligence 244, 166-187, 2017
342017
Predicting the geometry of metal binding sites from protein sequence
P Frasconi, A Passerini
Advances in Neural Information Processing Systems, 465-472, 2009
312009
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