Andrea Passerini

Andrea Passerini, Marco Lippi, Paolo Frasconi: Predicting Metal-Binding Sites from Protein Sequence. IEEE/ACM Trans. Comput. Biology Bioinform. 9(1): 203-213 (2012)

Elisa Cilia, Stefano Teso, Sergio Ammendola, Tom Lenaerts, Andrea Passerini: Predicting virus mutations through relational learning. AIMM 2012

Umut Avci, Andrea Passerini: Improving activity recognition by segmental pattern mining. PerCom Workshops 2012: 709-714

Marco Lippi, Andrea Passerini, Marco Punta, Paolo Frasconi: Metal Binding in Proteins: Machine Learning Complements X-Ray Absorption Spectroscopy. ECML/PKDD (2) 2012: 854-857

Elisa Cilia, Niels Landwehr, Andrea Passerini: Relational Feature Mining with Hierarchical Multitask kFOIL. Fundam. Inform. 113(2): 151-177 (2011)

Marco Lippi, Manfred Jaeger, Paolo Frasconi, Andrea Passerini: Relational information gain. Machine Learning 83(2): 219-239 (2011)

Andrea Passerini, Marco Lippi, Paolo Frasconi: MetalDetector v2.0: predicting the geometry of metal binding sites from protein sequence. Nucleic Acids Research 39(Web-Server-Issue): 288-292 (2011)

Paolo Campigotto, Andrea Passerini, Roberto Battiti: Active Learning of Combinatorial Features for Interactive Optimization. LION 2011: 336-350

Elisa Cilia, Andrea Passerini: Automatic prediction of catalytic residues by modeling residue structural neighborhood. BMC Bioinformatics 11: 115 (2010)

Niels Landwehr, Andrea Passerini, Luc De Raedt, Paolo Frasconi: Fast learning of relational kernels. Machine Learning 78(3): 305-342 (2010)

Roberto Battiti, Andrea Passerini: Brain-Computer Evolutionary Multiobjective Optimization: A Genetic Algorithm Adapting to the Decision Maker. IEEE Trans. Evolutionary Computation 14(5): 671-687 (2010)

Franco Mascia, Elisa Cilia, Mauro Brunato, Andrea Passerini: Predicting Structural and Functional Sites in Proteins by Searching for Maximum-weight Cliques. AAAI 2010

Carlo Nicolini, Bruno Lepri, Stefano Teso, Andrea Passerini: From On-Going to Complete Activity Recognition Exploiting Related Activities. HBU 2010: 26-37

Paolo Campigotto, Andrea Passerini: Adapting to a Realistic Decision Maker: Experiments towards a Reactive Multi-objective Optimizer. LION 2010: 338-341

Stefano Teso, Cristina Di Risio, Andrea Passerini, Roberto Battiti: An On/Off Lattice Approach to Protein Structure Prediction from Contact Maps. PRIB 2010: 368-379

Fabrizio Costa, Andrea Passerini, Marco Lippi, Paolo Frasconi: A semiparametric generative model for efficient structured-output supervised learning. Ann. Math. Artif. Intell. 54(1-3): 207-222 (2008)

Marco Lippi, Andrea Passerini, Marco Punta, Burkhard Rost, Paolo Frasconi: MetalDetector: a web server for predicting metal-binding sites and disulfide bridges in proteins from sequence. Bioinformatics 24(18): 2094-2095 (2008)

Marc Vincent, Andrea Passerini, Matthieu Labbé, Paolo Frasconi: A simplified approach to disulfide connectivity prediction from protein sequences. BMC Bioinformatics 9 (2008)

Alessandro Vullo, Andrea Passerini, Paolo Frasconi, Fabrizio Costa, Gianluca Pollastri: On the Convergence of Protein Structure and Dynamics. Statistical Learning Studies of Pseudo Folding Pathways. EvoBIO 2008: 200-211

Paolo Frasconi, Andrea Passerini: Learning with Kernels and Logical Representations. Probabilistic Inductive Logic Programming 2008: 56-91

Paolo Frasconi, Manfred Jaeger, Andrea Passerini: Feature Discovery with Type Extension Trees. ILP 2008: 122-139

Paolo Frasconi, Andrea Passerini: Predicting the Geometry of Metal Binding Sites from Protein Sequence. NIPS 2008: 465-472

Enrico Francesconi, Andrea Passerini: Automatic Classification of Provisions in Legislative Texts. Artif. Intell. Law 15(1): 1-17 (2007)

Andrea Passerini, Claudia Andreini, Sauro Menchetti, Antonio Rosato, Paolo Frasconi: Predicting zinc binding at the proteome level. BMC Bioinformatics 8 (2007)

Andrea Passerini, Paolo Frasconi, Luc De Raedt: Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting. Journal of Machine Learning Research 7: 307-342 (2006)

Alessio Ceroni, Andrea Passerini, Alessandro Vullo, Paolo Frasconi: DISULFIND: a disulfide bonding state and cysteine connectivity prediction server. Nucleic Acids Research 34(Web-Server-Issue): 177-181 (2006)

Niels Landwehr, Andrea Passerini, Luc De Raedt, Paolo Frasconi: kFOIL: Learning Simple Relational Kernels. AAAI 2006: 389-394

Sauro Menchetti, Andrea Passerini, Paolo Frasconi, Claudia Andreini, Antonio Rosato: Improving Prediction of Zinc Binding Sites by Modeling the Linkage Between Residues Close in Sequence. RECOMB 2006: 309-320

Andrea Passerini, Paolo Frasconi, Luc De Raedt: Kernels on Prolog Proof Trees: Statistical Learning in the ILP Setting. Probabilistic, Logical and Relational Learning 2005

Carlo Biagioli, Enrico Francesconi, Andrea Passerini, Simonetta Montemagni, Claudia Soria: Automatic semantics extraction in law documents. ICAIL 2005: 133-140

Andrea Passerini, Paolo Frasconi: Kernels on Prolog Ground Terms. IJCAI 2005: 1626-1627

Andrea Passerini, Massimiliano Pontil, Paolo Frasconi: New results on error correcting output codes of kernel machines. IEEE Transactions on Neural Networks 15(1): 45-54 (2004)

Alessio Ceroni, Paolo Frasconi, Andrea Passerini, Alessandro Vullo: Predicting the Disulfide Bonding State of Cysteines with Combinations of Kernel Machines. VLSI Signal Processing 35(3): 287-295 (2003)

Alessio Ceroni, Paolo Frasconi, Andrea Passerini, Alessandro Vullo: A Combination of Support Vector Machines and Bidirectional Recurrent Neural Networks for Protein Secondary Structure Prediction. AI*IA 2003: 142-153

Andrea Passerini, Massimiliano Pontil, Paolo Frasconi: From Margins to Probabilities in Multiclass Learning Problems. ECAI 2002: 400-404

Andrea Passerini, Paolo Frasconi, Giovanni Soda: Evaluation Methods for Focused Crawling. AI*IA 2001: 33-39