Produzione Scientifica Andrea Passerini


  • U. Avci, A. Passerini, "Improving activity recognition by segmental pattern mining" in 2012 IEEE International Conference on Pervasive Computing and Communications Workshops, USA: IEEE, 2012, p. 709-714. - ISBN: 9781467309073. Atti di: PerCOM’2012 Workshop on PervasivE Learning, Life, and Leisure, Lugano, 19-23 March 2012. - DOI: 10.1109/PerComW.2012.6197605 - vedi dettaglio
  • M. Lippi, A. Passerini, M. Punta, P. Frasconi, "Metal Binding in Proteins: Machine Learning Complements X-Ray Absorption Spectroscopy" in Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD Proceedings, Part II, Berlin, Heidelberg : Springer Berlin / Heidelberg, 2012, p. 854-857 -(Lecture Notes in Computer Science; 7254). - ISBN: 9783642334856. Atti di: ECML/PKDD, Bristol, UK, 2012. - URL: http://dx.doi.org/10.1007/978-3-642-33486-3_63 . - DOI: 10.1007/978-3-642-33486-3_63 - vedi dettaglio
  • A. Passerini, M. Lippi, P. Frasconi, "Predicting Metal-Binding Sites from Protein Sequence" in IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, v. 9, (2012), p. 203-213. - DOI: 10.1109/TCBB.2011.94 - vedi dettaglio
  • E. Cilia, S. Teso, S. Ammendola, T. Lenaerts, A. Passerini, "Predicting virus mutations through relational learning" in Proceedings of the ECCB Workshop on Annotation, Interpretation and Management of Mutations, : CEUR-WS.org , 2012 -(CEUR Workshop Proceedings; 916). Atti di: AIMM 2012, Basel, Switzerland, 2012 - vedi dettaglio
  • A. Corazza, V. Maggio, S. Martino, A. Moschitti, A. Passerini, F. Silvestri, G. Scanniello, "Using Machine Learning and Information Retrieval Techniques to Improve Software Maintainability" in The Joint workshop on Intelligent Methods for Software System Engineering (JIMSE) held in ECAI 2012, France: ECAI 2012, 2012, p. 18-23. Atti di: the Joint workshop on Intelligent Methods for Software System Engineering (JIMSE) held in ECAI 2012, Montpellier, France, 27.08.2012 - 31.08.2012 - vedi dettaglio
  • T. Tebaldi, A. Re, G. Viero, I. Pegoretti, A. Passerini, E. Blanzieri, A. Quattrone, "Widespread uncoupling between transcriptome and translatome variations after a stimulus in mammalian cells." in BMC GENOMICS, v. 13, (2012), p. 220. - URL: http://dx.doi.org/10.1186/1471-2164-13-220 . - DOI: 10.1186/1471-2164-13-220 - vedi dettaglio
  • P. Campigotto, A. Passerini, R. Battiti, "Active Learning of Combinatorial Features for Interactive Optimization" in Learning and Intelligent Optimization, Berlin, Heidelberg: Springer Verlag, 2011, p. 336-350 -(Lecture Notes in Computer Science; 6683). - ISBN: 9783642255656. Atti di: LION 2011, Rome, Gennaio 2011. - DOI: 10.1007/978-3-642-25566-3_25 - vedi dettaglio
  • W. Shi, M. Punta, J. Bohon, JM. Sauder, R. D'mello, M. Sullivan, J. Toomey, D. Abel, M. Lippi, A. Passerini, P. Frasconi, SK. Burley, B. Rost, MR. Chance, "Characterization of metalloproteins by high-throughput X-ray absorption spectroscopy." in GENOME RESEARCH, v. 21, (2011). - DOI: 10.1101/gr.115097.110 - vedi dettaglio
  • A. Passerini, M. Lippi, P. Frasconi, "MetalDetector v2.0: predicting the geometry of metal binding sites from protein sequence" in NUCLEIC ACIDS RESEARCH, v. 39, (2011), p. W288-W292. - DOI: 10.1093/nar/gkr365 - vedi dettaglio
  • E. Cilia, N. Landwehr, A. Passerini, "Relational Feature Mining with Hierarchical Multitask kFOIL" in FUNDAMENTA INFORMATICAE, v. 2011, n. 113 (2011), p. [1-26]. - DOI: 10.3233/FI-2011-604 - vedi dettaglio
  • M. Lippi, M. Jaeger, P. Frasconi, A. Passerini, "Relational Information Gain" in MACHINE LEARNING, v. vol. 83, n. no. 2 (2011), p. 219-239. - DOI: 10.1007/s10994-010-5194-7 - vedi dettaglio
  • S. Teso, C. Di Risio, A. Passerini, R. Battiti , "An on/off lattice approach to protein structure prediction from contact maps" in Proceedings of Pattern Recognition in Bioinformatics, Berlin; Heidelberg: Springer Verlag, 2010, p. 368-379 -(LNBI; 6282). - ISBN: 9783642160004. Atti di: PRIB2010, Nijmegen, The Netherlands , 22nd-24th September 2010 - vedi dettaglio
  • E. Cilia, A. Passerini, "Automatic Prediction of Catalytic Residues by Modeling Residue Structural Neighborhood " in BMC BIOINFORMATICS, v. vol. 11, (2010), p. 115-131. - URL: http://www.biomedcentral.com/1471-2105/11/115 . - DOI: 10.1186/1471-2105-11-115 - vedi dettaglio
  • R. Battiti, A. Passerini, "Brain-Computer Evolutionary Multi-Objective Optimization (BC-EMO): a genetic algorithm adapting to the decision maker" in IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, v. 14, n. 5 (2010), p. 671-687. - DOI: 10.1109/TEVC.2010.2058118 - vedi dettaglio
  • N. Landwehr, A. Passerini, L. De Raedt, P. Frasconi, "Fast learning of relational kernels" in MACHINE LEARNING, v. 79, n. 3 (2010), p. 305-342. - URL: http://www.springerlink.com/content/j689427n5u502657/fulltext.pdf . - DOI: 10.1007/s10994-009-5163-1 - vedi dettaglio
  • C. Nicolini, B. Lepri, S. Teso, A. Passerini, "From On-Going to Complete Activity Recognition Exploiting Related Activities" in Human Behavior Understanding: First International Workshop, HBU 2010, Istanbul, Turkey, August 22, 2010: Proceedings, Berlin; Heidelberg: Springer Verlag, 2010, p. 26-37. - ISBN: 9783642147142. Atti di: HBU 2010, Istanbul, 22nd August 2010 - vedi dettaglio
  • F. Mascia, E. Cilia, M. Brunato, A. Passerini, "Predicting structural and functional sites in proteins by searching for maximum-weight cliques" in Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, Menlo Park, CA: AAAI Press , 2010, p. 1274-1279. - ISBN: 9781577354635. Atti di: AAAI-10, Atlanta, GA, July 11th–15th, 2010 - vedi dettaglio
  • P. Frasconi, A. Passerini, "Predicting the Geometry of Metal Binding Sites from Protein Sequence" in Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS'08), Cambridge, MA, USA: MIT Press, 2009, p. 465-472. - ISBN: 9781605609492. Atti di: NIPS 2008, Vancouver, British Columbia, Canada, December 8-11, 2008 - vedi dettaglio
  • M. Lippi, M. Jaeger, P. Frasconi, A. Passerini, "Relational Information Gain" in Proceedings of the 19th International Conference on Inductive Logic Programming, ..: .., 2009, p. 0-0. Atti di: ILP 2009, Leuven, Belgium, July 2-4, 2009. - URL: http://www.cs.kuleuven.be/~dtai/ilp-mlg-srl/papers/ILP09-28.pdf - vedi dettaglio
  • F. Costa, A. Passerini, M. Lippi, P. Frasconi, "A semiparametric generative model for efficient structured-output supervised learning" in ANNALS OF MATHEMATICS AND OF ARTIFICIAL INTELLIGENCE, v. 54, n. 1-3 (2008), p. 207-222. - URL: http://www.springerlink.com/content/j5hm10v80w084113/fulltext.pdf . - DOI: 10.1007/s10472-009-9137-6 - vedi dettaglio
  • M. Vincent, A. Passerini, M. Labbè, P. Frasconi, "A simplified approach to disulfide connectivity prediction from protein sequences" in BMC BIOINFORMATICS, v. 9, n. 20 (2008). - DOI: 10.1186/1471-2105-9-20 - vedi dettaglio
  • E. Cilia, A. Passerini, M. Brunato, "Automatic Prediction of Functional Residues from Sequence and Structural Information", 2008, 14 p. - URL: http://disi.unitn.it/~brunato/pubblicazioni/DISI-08-036.pdf - vedi dettaglio
  • P. Frasconi, M. Jaeger, A. Passerini, "Feature Discovery with Type Extension Trees" in Proceedings of the 18th International Conference on Inductive Logic Programming, : Springer Verlag, 2008, p. 122-139 -(Lecture Notes in Computer Science; 5194). - ISBN: 9783540859277. Atti di: ILP'08, Prague, 10th-12th September 2008. - DOI: 10.1007/978-3-540-85928-4_13 - vedi dettaglio
  • P. Frasconi, A. Passerini, "Learning with Kernels and Logical Representations" in Probabilistic Inductive Logic Programming, Berlin, Heidelberg: Springer Verlag, 2008, p. 56-91. - (Lecture Notes in Computer Science. Lecture Notes in Artificial Intelligence; 4911). - ISBN: 3540786511 - vedi dettaglio
  • M. Lippi, A. Passerini, M. Punta, B. Rost, P. Frasconi, "Metaldetector: a web server for predicting metal binding sites and disulfide bridges in proteins from sequence" in BIOINFORMATICS, v. 24, n. 18 (2008), p. 2094-2095. - DOI: 10.1093/bioinformatics/btn371 - vedi dettaglio
  • A. Vullo, A. Passerini, P. Frasconi, F. Costa, G. Pollastri, "On the Convergence of Protein Structure and Dynamics: Statistical Learning Studies of Pseudo Folding Pathways" in Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics: 6th European Conference, Proceedings, : Springer Verlag, 2008, p. 200-211 -(Lecture Notes in Computer Science; 4973). - ISBN: 9783540787563. Atti di: EVOBIO'08, Neaples, 26th-28th March 2008. - DOI: 10.1007/978-3-540-78757-0_18 - vedi dettaglio
  • P. Frasconi, A. Passerini, "Predicting the geometry of metal binding sitesfrom protein sequence" in Proceedings of the Twenty-Second Annual Conference on Neural Information Processing Systems: MIT Press, 2008. Atti di: NIPS'08, Vancouver, Canada, December 8-11, 2008 - vedi dettaglio
  • E. Francesconi, A. Passerini, "Automatic classification of provisions in legislative texts" in ARTIFICIAL INTELLIGENCE AND LAW, v. 15, n. 1 (2007), p. 1-17. - DOI: 10.1007/s10506-007-9038-0 - vedi dettaglio
  • A. Passerini, A. Vullo, "Machine learning in structural genomics" in Bioinformatica: sfide e prospettive, Milano: Franco Angeli, 2007, p. XX-XX - vedi dettaglio
  • A. Passerini, C. Andreini, S. Menchetti, A. Rosato, P. Frasconi, "Predicting zinc binding at the proteome level" in BMC BIOINFORMATICS, v. 8, n. 39 (2007), p. [1-13]. - DOI: 10.1186/1471-2105-8-39 - vedi dettaglio
  • F. Costa, S. Menchetti, A. Ceroni, A. Passerini, P. Frasconi, "Decom-position kernels for natural language processing" in Learning Structured Information in Natural Language Applications, 2006. Atti di: Learning Structured Information in Natural Language Applications, Trento, Italy, April 3rd 2006 - vedi dettaglio
  • A. Ceroni, A. Passerini, A. Vullo, P. Frasconi, "Disulfind: a disulfide bond-ing state and cysteine connectivity prediction server" in NUCLEIC ACIDS RESEARCH, v. 34, (2006), p. W177-W181. - DOI: 10.1093/nar/gkl266 - vedi dettaglio
  • A. Passerini, M. Punta, B. Rost, A. Ceroni, P. Frasconi, "Identifying cysteines and histidines in transition-metal-binding sites using support vector machines and neural networks" in PROTEINS, v. 65, n. 2 (2006), p. 305-316. - DOI: 10.1002/prot.21135 - vedi dettaglio
  • S. Menchetti, A. Passerini, P. Frasconi, C. Andreini, A. Rosato, "Improving prediction of zinc binding sites by modeling the linkage between residues close in sequence" in Proceedings of the 10th Annual International Conference on Research in Computational Molecular Biology, : Springer, 2006. - ISBN: 3540332952. Atti di: RECOMB'06, Venice, Italy, April 2-5, 2006. - DOI: 10.1007/11732990_26 - vedi dettaglio
  • A. Passerini, P. Frasconi, L. De Raedt, "Kernels on prolog proof trees: Statistical learning in the ILP setting" in JOURNAL OF MACHINE LEARNING RESEARCH, v. 7, n. Feb (2006), p. 307-342. - URL: http://www.jmlr.org/papers/volume7/passerini06a/passerini06a.pdf - vedi dettaglio
  • N. Landwehr, A. Passerini, L. De Raedt, P. Frasconi, "kFOIL: Learning Simple Relational Kernels" in Proceedings of the Twenty-First National Conference on Artificial Intelligence: The AAAI Press, 2006. - ISBN: 9781577352815. Atti di: AAAI'06, Boston, Massachusetts, USA, July 16–20, 2006 - vedi dettaglio
  • F. Costa, A. Passerini, P. Frasconi, "Learning structured outputs via kerneldependency estimation and stochastic grammars" in Mining and Learning with Graphs, 2006. Atti di: MLG'06, Berlin, Germany, September 18th, 2006 - vedi dettaglio
  • C. Biagioli, E. Francesconi, A. Passerini, S. Montemagni, C. Soria, "Automatic semantics extraction in law documents" in Proceedings of the Tenth International Conference on Artificial Intelligence and Law: ACM, 2005. Atti di: ICAIL'05, Bologna, Italy, June 6-11, 2005 - vedi dettaglio
  • P. Frasconi, A. Passerini, S. Muggleton, H. Lodhi, "Declarative Kernels", 2005. Atti di: 15th International Conference on inductive Logic Programming, Bonn, Germany, August 10–13, 2005 - vedi dettaglio
  • A. Passerini, P. Frasconi, "Kernels on prolog ground terms" in Proceedingsof the Nineteenth International Joint Conference on Artificial Intelligence, : Professional Book Center, 2005. - ISBN: 0938075934. Atti di: IJCAI'05, Edinburgh, Scotland, UK, 30 July - 5 August 2005 - vedi dettaglio
  • A. Passerini, P. Frasconi, L. De Raedt, "Kernels on prolog proof trees:Statistical learning in the ilp setting" in ICML ’05 Workshop on Approachesand Applications of Inductive Programming,, 2005. Atti di: AAIP'05, Bonn, Germany, 7 August, 2005. - vedi dettaglio
  • A. Passerini, P. Frasconi, "Learning to discriminate between ligand-bound and disulfide-bound cysteines" in PROTEIN ENGINEERING, DESIGN & SELECTION, v. 17, n. 4 (2004), p. 367-373. - DOI: 10.1093/protein/gzh042 - vedi dettaglio
  • A. Passerini, M. Pontil, P. Frasconi, "New results on error correcting output codes of kernel machines" in IEEE TRANSACTIONS ON NEURAL NETWORKS, v. 15, n. 1 (2004), p. 45-54. - DOI: 10.1109/TNN.2003.820841 - vedi dettaglio
  • A. Ceroni, P. Frasconi, A. Passerini, A. Vullo, "A combination of support vector machines and bidirectional recurrent neural networks for protein secondary structure prediction" in Proceedings of the 8th Congress of the Italian Association for Artificial Intelligence, : Springer, 2003. - ISBN: 9783540201199. Atti di: AI*IA'03, Pisa, Italy, September 23-26, 2003. - DOI: 10.1007/978-3-540-39853-0_12 - vedi dettaglio
  • A. Ceroni, P. Frasconi, A. Passerini, A. Vullo, "Predicting the disulfide bonding state of cysteines with combinations of kernel machines" in JOURNAL OF VLSI SIGNAL PROCESSING, v. 35, n. 3 (2003), p. 287-295. - DOI: 10.1023/B:VLSI.0000003026.58068.ce - vedi dettaglio
  • P. Frasconi, A. Passerini, A. Vullo, "A two-stage SVM architecture for predicting the disulfide bonding state of cysteines" in Proceedings of the 2002 12th IEEE Workshop on Neural Networks for Signal Processing, : IEEE Press, 2002. - ISBN: 0780376161. Atti di: NNSP'02, Martigny, Valais, Switzerland, September 4-6, 2002. - DOI: 10.1109/NNSP.2002.1030014 - vedi dettaglio
  • A. Passerini, M. Pontil, P. Frasconi, "From margins to probabilities in multiclass learning problems" in Proceedings of the 15th Eureopean Conference on Artificial Intelligencemulticlass learning problems, : IOS Press, 2002. - ISBN: 1586032577. Atti di: ECAI'02, Lyon, France, July, 21-26, 2002 - vedi dettaglio
  • A. Passerini, "Evaluation methods for focused crawling" in Proceedings of the 7th Congress of the Italian Association for Artificial Intelligence: Springer, 2001. Atti di: AI*IA 2001, Bari, Italy, September 25–28, 2001 - vedi dettaglio