Andrea Passerini
Andrea Passerini
Associate Professor, University of Trento
Zweryfikowany adres z - Strona główna
Cytowane przez
Cytowane przez
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 intelligence …, 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
kFOIL: Learning simple relational kernels
N Landwehr, A Passerini, L De Raedt, P Frasconi
Aaai 6, 389-394, 2006
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
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
Predicting zinc binding at the proteome level
A Passerini, C Andreini, S Menchetti, A Rosato, P Frasconi
BMC bioinformatics 8 (1), 1-13, 2007
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
Probabilistic inference in hybrid domains by weighted model integration
V Belle, A Passerini, G Van den Broeck
Proceedings of 24th International Joint Conference on Artificial …, 2015
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
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
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
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
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
Automatic classification of provisions in legislative texts
E Francesconi, A Passerini
Artificial Intelligence and Law 15 (1), 1-17, 2007
Fast learning of relational kernels
N Landwehr, A Passerini, L De Raedt, P Frasconi
Machine learning 78 (3), 305-342, 2010
Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting.
A Passerini, P Frasconi, L De Raedt, R Olsson, U Schmid
Journal of Machine Learning Research 7 (2), 2006
Structured learning modulo theories
S Teso, R Sebastiani, A Passerini
Artificial Intelligence 244, 166-187, 2017
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
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20