Marco Botta

Marco Botta, Davide Cavagnino, Victor Pomponiu: KL-F: Karhunen-Loève based fragile watermarking. NSS 2011: 65-72

Alessia Visconti, Francesca Cordero, Marco Botta, Raffaele Calogero: Gene Ontology Rewritten for Computing Gene Functional Similarity. CISIS 2010: 694-699

Fabio Tango, Marco Botta, Luca Minin, Roberto Montanari: Non-intrusive Detection of Driver Distraction using Machine Learning Algorithms. ECAI 2010: 157-162

Ugo Galassi, Marco Botta, Lorenza Saitta: Structured Hidden Markov Model versus String Kernel Machines for Symbolic Sequence Classification. Advances in Machine Learning I 2010: 275-295

Fabio Tango, Marco Botta: ML Techniques for the Classification of Car-Following Maneuver. AI*IA 2009: 395-404

Francesca Cordero, Ruggero G. Pensa, Alessia Visconti, Dino Ienco, Marco Botta: Ontology-Driven Co-clustering of Gene Expression Data. AI*IA 2009: 426-435

Marco Botta, Guido Negro: Multiple Sequence Alignment with Genetic Algorithms. CIBB 2009: 206-214

Marco Botta, Ugo Galassi, Attilio Giordana: Generative Model versus Discriminative Model approach for Symbolic Sequence Classification. IICAI 2009: 513-532

Fabio Tango, Marco Botta: Evaluation of Distraction in a Driver-Vehicle-Environment Framework: An Application of Different Data-Mining Techniques. ICDM 2009: 176-190

Francesca Cordero, Alessia Visconti, Marco Botta: A new protein motif extraction framework based on constrained co-clustering. SAC 2009: 776-781

Cosimo Anglano, Massimo Canonico, Marco Guazzone, Marco Botta, Sergio Rabellino, Simone Arena, Guglielmo Girardi: Peer-to-Peer Desktop Grids in the Real World: The ShareGrid Project. CCGRID 2008: 609-614

Dino Ienco, Rosa Meo, Marco Botta: Using PageRank in Feature Selection. SEBD 2008: 93-100

Arianna Gallo, Roberto Esposito, Rosa Meo, Marco Botta: Incremental Extraction of Association Rules in Applicative Domains. Applied Artificial Intelligence 21(4&5): 297-315 (2007)

Ugo Galassi, Marco Botta, Attilio Giordana: Hierarchical Hidden Markov Models for User/Process Profile Learning. Fundam. Inform. 78(4): 487-505 (2007)

Roberto Esposito, Rosa Meo, Marco Botta: Answering constraint-based mining queries on itemsets using previous materialized results. J. Intell. Inf. Syst. 26(1): 95-111 (2006)

Daniele P. Radicioni, Marco Botta: A Methodological Contribution to Music Sequences Analysis. ISMIS 2006: 409-418

Arianna Gallo, Roberto Esposito, Rosa Meo, Marco Botta: Optimization of Association Rules Extraction Through Exploitation of Context Dependent Constraints. AI*IA 2005: 258-269

Ugo Galassi, Attilio Giordana, Lorenza Saitta, Marco Botta: Learning Complex Event Descriptions by Abstraction. IJCAI 2005: 1600-1601

Ugo Galassi, Attilio Giordana, Lorenza Saitta, Marco Botta: Learning Profiles Based on Hierarchical Hidden Markov Model. ISMIS 2005: 47-55

Fulvio Lazzarato, Giuliana Franceschinis, Marco Botta, Francesca Cordero, Raffaele Calogero: RRE: a tool for the extraction of non-coding regions surrounding annotated genes from genomic datasets. Bioinformatics 20(16): 2848-2850 (2004)

Marco Botta, Jean-François Boulicaut, Cyrille Masson, Rosa Meo: Query Languages Supporting Descriptive Rule Mining: A Comparative Study. Database Support for Data Mining Applications 2004: 24-51

Rosa Meo, Marco Botta, Roberto Esposito, Arianna Gallo: A Novel Incremental Approach to Association Rules Mining in Inductive Databases. Constraint-Based Mining and Inductive Databases 2004: 267-294

Marco Botta, Ugo Galassi, Attilio Giordana: Learning Complex and Sparse Events in Long Sequences. ECAI 2004: 425-429

Rosa Meo, Marco Botta, Roberto Esposito: Query Rewriting in Itemset Mining. FQAS 2004: 111-124

Barbara Negro, Angelo Difino, Fabio Bellifemine, Giovanna Petrone, Luca Di Costa, Marco Botta, Liliana Ardissono: Customer information sharing between e-commerce applications. WOA 2004: 5-12

Marco Botta, Attilio Giordana, Lorenza Saitta, Michèle Sebag: Relational Learning as Search in a Critical Region. Journal of Machine Learning Research 4: 431-463 (2003)

Francesco Marangoni, Matteo Barberis, Marco Botta: Large Scale Prediction of Protein Interactions by a SVM-Based Method. WIRN 2003: 296-301

Cosimo Anglano, Marco Botta: NOW G-Net: learning classification programs on networks of workstations. IEEE Trans. Evolutionary Computation 6(5): 463-480 (2002)

Marco Botta, Jean-François Boulicaut, Cyrille Masson, Rosa Meo: A Comparison between Query Languages for the Extraction of Association Rules. DaWaK 2002: 1-10

Attilio Giordana, Paolo Terenziani, Marco Botta: Recognizing and Discovering Complex Events in Sequences. ISMIS 2002: 374-382

Marco Botta: Resampling vs Reweighting in Boosting a Relational Weak Learner. AI*IA 2001: 70-80

Marco Botta, Roberto Piola: Refining Numerical Constants in First Order Logic Theories. Machine Learning 38(1-2): 109-131 (2000)

Attilio Giordana, Lorenza Saitta, Michèle Sebag, Marco Botta: Analyzing Relational Learning in the Phase Transition Framework. ICML 2000: 311-318

Attilio Giordana, Lorenza Saitta, Michèle Sebag, Marco Botta: Can Relational Learning Scale Up? ISMIS 2000: 31-39

Marco Botta, Attilio Giordana, Lorenza Saitta, Michèle Sebag: Relational Learning: Hard Problems and Phase Transitions. AI*IA 1999: 178-189

Attilio Giordana, Marco Botta, Lorenza Saitta: An Experimental Study of Phase Transitions in Matching. IJCAI 1999: 1198-1203

Marco Botta, Attilio Giordana, Roberto Piola: An Integrated Framework of Learning Numerical Terms in FOL. ECAI 1998: 415-419

Attilio Giordana, Filippo Neri, Lorenza Saitta, Marco Botta: Integrating Multiple Learning Strategies in First Order Logics. Machine Learning 27(3): 209-240 (1997)

Marco Botta, Attilio Giordana, Roberto Piola: Refining Numerical Terms in Horn Clauses. AI*IA 1997: 13-23

Marco Botta, Attilio Giordana, Roberto Piola: FONN: Combining First Order Logic with Connectionist Learning. ICML 1997: 46-56

Marco Botta, Attilio Giordana, Roberto Piola: Refining First Order Theories with Neural Networks. ISMIS 1997: 84-93

Cristina Baroglio, Marco Botta: Multiple Predicate Learning with RTL. AI*IA 1995: 44-55

Marco Botta: Learning First Order Theories. ISMIS 1994: 356-365

Cristina Baroglio, Marco Botta, Attilio Giordana: Learning Relations: An Evaluation of Search Strategies. Fundam. Inform. 18: 221-232 (1993)

Lorenza Saitta, Marco Botta, Filippo Neri: Multistrategy Learning and Theory Revision. Machine Learning 11: 153-172 (1993)

Marco Botta, Attilio Giordana: SMART+: A Multi-Strategy Learning Tool. IJCAI 1993: 937-945

Marco Botta, Lorenza Saitta: Use of Causal Models and Abduction in Learning Diagnostic Knowledge. International Journal of Man-Machine Studies 36(2): 289-307 (1992)

Marco Botta, Attilio Giordana, Lorenza Saitta: Comparison of Search Strategies in Learning Relations. ECAI 1992: 451-455

Marco Botta, Filippo Brancadori, S. Ravotto, Lorenza Saitta, S. B. Sperotto: Use of a Causal Model to Learn Diagnostic Knowledge in a Real Domain. AI*IA 1991: 228-237

Marco Botta, S. Ravotto, Lorenza Saitta, S. B. Sperotto: Improving Learning Using Causality and Abduction. ML 1991: 480-484

Marco Botta, Attilio Giordana: Learning Quantitative Features in a Symbolic Environment. ISMIS 1991: 296-305

Marco Botta, Lorenza Saitta: Improving Knowledge-Based System Performance by Experience. EWSL 1988: 15-23

Marco Botta: Constructive Learning in Conjunctive Concept Characterization. ISMIS 1988: 293-302