Research Outputs Andrea Passerini


  • Sansone, Emanuele; Passerini, Andrea; De Natale, Francesco, "Classtering: Joint Classification and Clustering with Mixture of Factor Analysers" in Proceedings of the 22nd European Conference on Artificial Intelligence (ECAI), EUROPE: IOS PRESS, 2016. Proceedings of: ECAI, The Hague, Holland, 29 Ago - 02 Sep, 2016. - URL: papers/ecai16.pdf
  • Belle, Vaishak; Van den Broeck, Guy; Passerini, Andrea, "Component Caching in Hybrid Domains with Piecewise Polynomial Densities" in Proceedings of the 30th Conference on Artificial Intelligence (AAAI), USA: AAAI Press, 2016. Proceedings of: aaai 2016, Phoenix, Arizona USA, February 12–17, 2016. - URL: papers/aaai16.pdf
  • Stefano Teso; Andrea Passerini; Paolo Viappiani, "Constructive Preference Elicitation by Setwise Max-Margin Learning" in Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, NYC: IJCAI/AAAI Press, 2016, p. 2067-2073. Proceedings of: IJCAI 2016, New York City, 9-15 July 2016. - URL: papers/ijcai16.pdf
  • Gärtner, Thomas; Nanni, Mirco; Passerini, Andrea; Robardet, Céline, "Guest editors’ introduction to the EcmlPkdd 2016 journal track special issue of Machine Learning" in "ECML PKDD 2016 Journal Track Special Issue of the Data Mining and Knowledge Discovery Journal", USA: Springer New York LLC, 2016, p. 995-997. - URL: http://www.kluweronline.com/issn/1384-5810 . - DOI: 10.1007/s10618-016-0476-8
  • Gärtner, Thomas; Nanni, Mirco; Passerini, Andrea; Robardet, Céline, "Guest editors’ introduction to the EcmlPkdd 2016 journal track special issue of Machine Learning" in "EcmlPkdd 2016 journal track special issue of Machine Learning", USA: Springer New York LLC, 2016, p. 149-150. - DOI: 10.1007/s10994-016-5587-3
  • Belle, Vaishak; Van den Broeck, Guy; Passerini, Andrea, "Hashing-Based Approximate Probabilistic Inference in Hybrid Domains: An Abridged Report" in Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI), Sister Conference Best Paper Track, NYC: IJCAI/AAAI Press, 2016. Proceedings of: IJCAI, New York City, July 9–15, 2016. - URL: http://web.cs.ucla.edu/~guyvdb/papers/BelleIJCAI16.pdf
  • Mostafa Kia and, Seyed; Passerini, Andrea, "Interpretability in Linear Brain Decoding" in ICML Workshop on Human Interpretability in Machine Learning (WHI 2016), Arxiv: Arxiv, 2016. Proceedings of: ICML Workshop on Human Interpretability in Machine Learning (WHI, New York City, June 19-24, 2016. - URL: https://arxiv.org/pdf/1606.05672.pdf
  • Passerini, Andrea, "Learning Modulo Theories" in Data Mining and Constraint Programming: Foundations of a Cross-Disciplinary Approach, Cham: Springer International Publishing, 2016
  • Corrado, Gianluca; Tebaldi, Toma; Costa, Fabrizio; Frasconi, Paolo; Passerini, Andrea, "RNAcommender: genome-wide recommendation of RNA-protein interactions" in BIOINFORMATICS, v. 32, n. 23 (2016), p. 3627-3634. - DOI: 10.1093/bioinformatics/btw517
  • Teso, Stefano; Dragone, Paolo; Passerini, Andrea, "Structured Feedback for Preference Elicitation in Complex Domains" in BeyondLabeler Workshop at IJCAI 2016, arxiv: arxiv, 2016. Proceedings of: BeyondLabeler Workshop at IJCAI 2016, New York City, 9th-15th July, 2016. - URL: papers/beyond16.pdf
  • Mirylenka, Daniil; Passerini, Andrea; Serafini, Luciano, "Bootstrapping Domain Ontologies from Wikipedia: A Uniform Approach" in Proceedings of the Twenty-Fourth International Joint Conference onArtificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, July25-31, 2015, Buenos Aires: AAAI Press / International Joint Conferences on Artificial Intelligence, 2015, p. 1464-1470. - ISBN: 978-1-57735-738-4. Proceedings of: ijcai 2015, Buenos Aires, 25–31 July 2015. - URL: http://ijcai.org/papers15/Abstracts/IJCAI15-210.html
  • Teso, Stefano; Sebastiani, Roberto; Passerini, Andrea, "Constructive Learning Modulo Theories" in ICML Workshop on Constructive Machine Learning, Arxiv: Arxiv, 2015. Proceedings of: ICML Workshop on Constructive Machine Learning, Lille, France, July 10, 2015. - URL: papers/cml2015lmt.pdf
  • Belle, Vaishak; Van Den Broeck, Guy; Passerini, Andrea, "Hashing-based approximate probabilistic inference in hybrid domains" in Uncertainty in Artificial Intelligence - Proceedings of the 31st Conference, UAI 2015, Buenos Aires: AUAI Press, 2015, p. 141-150. - ISBN: 9780000000002. Proceedings of: 31st Conference on Uncertainty in Artificial Intelligence, UAI 2015, Buenos Aires, 2015
  • Teso, Stefano; Passerini, Andrea, "Inducing Sparse Programs for Learning Modulo Theories" in ICML Workshop on Constructive Machine Learning, Arxiv: Arxiv, 2015. Proceedings of: ICML Workshop on Constructive Machine Learning, Lille, France, July 10, 2015. - URL: papers/cml2015cl.pdf
  • Belle, Vaishak; Passerini, Andrea; Van den Broeck, Guy, "Probabilistic Inference in Hybrid Domains by Weighted Model Integration" in Proceedings of 24th International Joint Conference on Artificial Intelligence (IJCAI), Buenos Aires: AAAI Press / International Joint Conferences on Artificial Intelligence, 2015. - ISBN: 978-1-57735-738-4. Proceedings of: ijcai 2015, Buenos, 25–31 July 2015. - URL: https://lirias.kuleuven.be/bitstream/123456789/499964/1/wmi.pdf
  • Teso, Stefano; Sebastiani, Roberto; Passerini, Andrea, "Structured learning modulo theories" in ARTIFICIAL INTELLIGENCE, v. 2015, (2015). - URL: http://www.sciencedirect.com . - DOI: 10.1016/j.artint.2015.04.002
  • Viero, Gabriella; Lunelli, Lorenzo; Passerini, Andrea; Bianchini, Paolo; Gilbert, Robert J.; Bernabò, Paola; Tebaldi, Toma; Diaspro, Alberto; Pederzolli, Cecilia; Quattrone, Alessandro, "Three distinct ribosome assemblies modulated by translation are the building blocks of polysomes" in THE JOURNAL OF CELL BIOLOGY, v. 208, n. 5 (2015), p. 581-596. - URL: http://jcb.rupress.org/content/208/5/581.full.pdf . - DOI: 10.1083/jcb.201406040
  • P. Campigotto; A. Passerini; R. Battiti, "Active Learning of Pareto Fronts" in IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, v. 25, n. 3 (2014), p. 506-519. - DOI: 10.1109/TNNLS.2013.2275918
  • Saccà, Claudio; Teso, Stefano; Diligenti, Michelangelo; Passerini, Andrea, "Improved multi-level protein–protein interaction prediction with semantic-based regularization" in BMC BIOINFORMATICS, v. 15, (2014). - DOI: 10.1186/1471-2105-15-103
  • U. Avci; A. Passerini, "Improving Activity Recognition by Segmental Pattern Mining" in IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, v. 26, n. 4 (2014), p. 889-902. - DOI: 10.1109/TKDE.2013.127
  • S. Teso; A. Passerini, "Joint probabilistic-logical refinement of multiple protein feature predictors" in BMC BIOINFORMATICS, v. 15, (2014), p. 16. - DOI: 10.1186/1471-2105-15-16
  • Cilia, Elisa; Teso, Stefano; Ammendola, Sergio; Lenaerts, Tom; Passerini, Andrea, "Predicting virus mutations through statistical relational learning" in BMC BIOINFORMATICS, v. 15, (2014), p. 309. - DOI: 10.1186/1471-2105-15-309
  • G. Corrado;T. Tebaldi;G. Bertamini;F. Costa;A. Quattrone;G. Viero;A. Passerini, "PTRcombiner: mining combinatorial regulation of gene expression from post-transcriptional interaction maps." in BMC GENOMICS, v. 15, (2014), p. 304. - URL: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4234518\&tool=pmcentrez\&rendertype=abstract . - DOI: 10.1186/1471-2164-15-304
  • U. Avci;A. Passerini, "A Fully Unsupervised Approach to Activity Discovery" in ACM Multimedia workshop on Human Behavior Understanding (HBU 2013), Barcelona, Spain: Springer International Publishing., 2013. - ISBN: 9783319027135. Proceedings of: HBU, Barcelona, 2013. - DOI: 10.1007/978-3-319-02714-2_7
  • P. Campigotto; A. Passerini; R. Battiti, "Active Learning of Pareto Fronts with Disconnected Feasible Decision and Objective Spaces" in MIC 2013: The X Metaheuristics International Conference, Singapore: proceedings online, 2013. Proceedings of: MIC, Singapore, 2013. - URL: http://research.larc.smu.edu.sg/mic2013/
  • S. Teso;J. Staiano;B. Lepri;A. Passerini;F. Pianesi, "Ego-Centric Graphlets for Personality and Affective States Recognition" in ASE/IEEE International Conference on Social Computing, Washington D.C., USA: IEEE, 2013, p. 874-877. - ISBN: 9780769551371. Proceedings of: SocialCom, Washington DC, 2013. - DOI: 10.1109/SocialCom.2013.132
  • Andrea Passerini, "Kernel Methods for Structured Data" in Handbook on Neural Information Processing, Berlin Heidelberg: Springer, 2013, p. 283-333. - ISBN: 9783642366567. - DOI: 10.1007/978-3-642-36657-4_9
  • D. Mukhlisullina;A. Passerini;R. Battiti, "Learning to Diversify in Complex Interactive Multiobjective Optimization" in MIC 2013: The X Metaheuristics International Conference, Singapore: online proceedings, 2013, p. 230-239. Proceedings of: MIC, Singapore, 2013. - URL: http://research.larc.smu.edu.sg/mic2013/
  • D. Mirylenka;A. Passerini, "Learning to Grow Structured Visual Summaries for Document Collections" in ICML Workshop on Structured Learning: Inferring Graphs from Structured and Unstructured Inputs, Atlanta, GA, USA: International Machine Learning Society (IMLS)., 2013. Proceedings of: SLG, Atlanta, GA, USA, 2013. - URL: https://sites.google.com/site/slgworkshop2013/
  • D. Mirylenka;A. Passerini, "Navigating the Topical Structure of Academic Search Results via the Wikipedia Category Network" in Proceedings of the 22Nd ACM International Conference on Information Knowledge Management, New York, NY, USA: ACM, 2013, p. 891-896. - ISBN: 9781450322638. Proceedings of: CIKM, San Francisco, 2013. - URL: http://doi.acm.org/10.1145/2505515.2505621 . - DOI: 10.1145/2505515.2505621
  • D. Mirylenka;A. Passerini, "ScienScan – An Efficient Visualization and Browsing Tool for Academic Search" in Machine Learning and Knowledge Discovery in Databases, Berlin Heidelberg: Springer Berlin Heidelberg, 2013, p. 667-671. - ISBN: 9783642409943. Proceedings of: ECML/PKDD, Prague, 2013. - URL: http://dx.doi.org/10.1007/978-3-642-40994-3_51 . - DOI: 10.1007/978-3-642-40994-3_51
  • D. Mirylenka;A. Passerini, "Supervised graph summarization for structuring academic search results" in NIPS Workshop on Constructive Machine Learning, 2013. Proceedings of: NIPS workshop on Constructive Machine Learning, Lake Tahoe, 2013
  • M. Jaeger; M. Lippi; A. Passerini; P. Frasconi, "Type Extension Trees for feature construction and learning in relational domains" in ARTIFICIAL INTELLIGENCE, v. 204, (2013), p. 30-55. - DOI: 10.1016/j.artint.2013.08.002
  • Anna Corazza; Sergio Di Martino; Valerio Maggio; Alessandro Moschitti; Andrea Passerini; Giuseppe Scanniello; Fabrizio Silvestri, "Using Machine Learning and Information Retrieval Techniques to Improve Software Maintainability" in Trustworthy Eternal Systems via Evolving Software, Data and Knowledge, Germany: Springer Berlin Heidelberg, 2013, p. 117-134. - (COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE). - ISBN: 9783642452598. - DOI: 10.1007/978-3-642-45260-4_9
  • 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. Proceedings of: PerCOM’2012 Workshop on PervasivE Learning, Life, and Leisure, Lugano, 19-23 March 2012. - DOI: 10.1109/PerComW.2012.6197605
  • 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. Proceedings of: 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
  • 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
  • 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). Proceedings of: AIMM 2012, Basel, Switzerland, 2012
  • 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
  • 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). - ISBN: 9783642255656. Proceedings of: LION 2011, Rome, Gennaio 2011. - DOI: 10.1007/978-3-642-25566-3_25
  • 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
  • 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
  • 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
  • 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
  • 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). - ISBN: 9783642160004. Proceedings of: PRIB2010, Nijmegen, The Netherlands, 22nd-24th September 2010
  • 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
  • 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
  • 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
  • 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. Proceedings of: HBU 2010, Istanbul, 22nd August 2010
  • 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. Proceedings of: AAAI-10, Atlanta, GA, July 11th–15th, 2010
  • 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. Proceedings of: NIPS 2008, Vancouver, British Columbia, Canada, December 8-11, 2008
  • 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. Proceedings of: ILP 2009, Leuven, Belgium, July 2-4, 2009. - URL: http://www.cs.kuleuven.be/~dtai/ilp-mlg-srl/papers/ILP09-28.pdf
  • 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
  • M. Vincent ; A. Passerini ; M. Labbe' ; 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
  • 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
  • P. Frasconi ; M. Jaeger ; A. Passerini, "Feature Discovery with Type Extension Trees" in Proceedings of the 18th International Conference on Inductive Logic Programming, Germania: Springer Verlag, 2008, p. 122-139. - (Lecture Notes in Computer Science; 5194). - ISBN: 9783540859277. Proceedings of: ILP'08, Prague, 10th-12th September 2008. - DOI: 10.1007/978-3-540-85928-4_13
  • 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
  • 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
  • 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. Proceedings of: EVOBIO'08, Neaples, 26th-28th March 2008. - DOI: 10.1007/978-3-540-78757-0_18
  • 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. Proceedings of: NIPS'08, Vancouver, Canada, December 8-11, 2008
  • 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
  • A. Passerini ; A. Vullo, "Machine learning in structural genomics" in Bioinformatica: sfide e prospettive, Milano: Franco Angeli, 2007, p. XX-XX
  • 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
  • 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. Proceedings of: Learning Structured Information in Natural Language Applications, Trento, Italy, April 3rd 2006
  • 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
  • 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
  • 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. Proceedings of: RECOMB'06, Venice, Italy, April 2-5, 2006. - DOI: 10.1007/11732990_26
  • 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
  • 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. Proceedings of: AAAI'06, Boston, Massachusetts, USA, July 16–20, 2006
  • F. Costa ; A. Passerini ; P. Frasconi, "Learning structured outputs via kerneldependency estimation and stochastic grammars" in Mining and Learning with Graphs, 2006. Proceedings of: MLG'06, Berlin, Germany, September 18th, 2006
  • 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. Proceedings of: ICAIL'05, Bologna, Italy, June 6-11, 2005
  • P. Frasconi ; A. Passerini ; S. Muggleton ; H. Lodhi, "Declarative Kernels", 2005. Proceedings of: 15th International Conference on inductive Logic Programming, Bonn, Germany, August 10–13, 2005
  • 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. Proceedings of: IJCAI'05, Edinburgh, Scotland, UK, 30 July - 5 August 2005
  • 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. Proceedings of: AAIP'05, Bonn, Germany, 7 August, 2005.
  • 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
  • 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
  • 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. Proceedings of: AI*IA'03, Pisa, Italy, September 23-26, 2003. - DOI: 10.1007/978-3-540-39853-0_12
  • 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. Proceedings of: NNSP'02, Martigny, Valais, Switzerland, September 4-6, 2002. - DOI: 10.1109/NNSP.2002.1030014
  • 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. Proceedings of: ECAI'02, Lyon, France, July, 21-26, 2002
  • A. Passerini, "Evaluation methods for focused crawling" in Proceedings of the 7th Congress of the Italian Association for Artificial Intelligence: Springer, 2001. Proceedings of: AI*IA 2001, Bari, Italy, September 25–28, 2001