2009 | ||
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44 | EE | Francesca Cordero, Alessia Visconti, Marco Botta: A new protein motif extraction framework based on constrained co-clustering. SAC 2009: 776-781 |
2008 | ||
43 | EE | 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 |
42 | Dino Ienco, Rosa Meo, Marco Botta: Using PageRank in Feature Selection. SEBD 2008: 93-100 | |
2007 | ||
41 | EE | 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) |
40 | EE | Ugo Galassi, Marco Botta, Attilio Giordana: Hierarchical Hidden Markov Models for User/Process Profile Learning. Fundam. Inform. 78(4): 487-505 (2007) |
2006 | ||
39 | EE | Daniele P. Radicioni, Marco Botta: A Methodological Contribution to Music Sequences Analysis. ISMIS 2006: 409-418 |
38 | EE | 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) |
2005 | ||
37 | EE | Arianna Gallo, Roberto Esposito, Rosa Meo, Marco Botta: Optimization of Association Rules Extraction Through Exploitation of Context Dependent Constraints. AI*IA 2005: 258-269 |
36 | EE | Ugo Galassi, Attilio Giordana, Lorenza Saitta, Marco Botta: Learning Complex Event Descriptions by Abstraction. IJCAI 2005: 1600-1601 |
35 | EE | Ugo Galassi, Attilio Giordana, Lorenza Saitta, Marco Botta: Learning Profiles Based on Hierarchical Hidden Markov Model. ISMIS 2005: 47-55 |
2004 | ||
34 | EE | 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 |
33 | EE | 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 |
32 | Marco Botta, Ugo Galassi, Attilio Giordana: Learning Complex and Sparse Events in Long Sequences. ECAI 2004: 425-429 | |
31 | EE | Rosa Meo, Marco Botta, Roberto Esposito: Query Rewriting in Itemset Mining. FQAS 2004: 111-124 |
30 | 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 | |
29 | EE | 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) |
2003 | ||
28 | EE | Francesco Marangoni, Matteo Barberis, Marco Botta: Large Scale Prediction of Protein Interactions by a SVM-Based Method. WIRN 2003: 296-301 |
27 | EE | 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) |
2002 | ||
26 | EE | Marco Botta, Jean-François Boulicaut, Cyrille Masson, Rosa Meo: A Comparison between Query Languages for the Extraction of Association Rules. DaWaK 2002: 1-10 |
25 | EE | Attilio Giordana, Paolo Terenziani, Marco Botta: Recognizing and Discovering Complex Events in Sequences. ISMIS 2002: 374-382 |
24 | Cosimo Anglano, Marco Botta: NOW G-Net: learning classification programs on networks of workstations. IEEE Trans. Evolutionary Computation 6(5): 463-480 (2002) | |
2001 | ||
23 | EE | Marco Botta: Resampling vs Reweighting in Boosting a Relational Weak Learner. AI*IA 2001: 70-80 |
2000 | ||
22 | Attilio Giordana, Lorenza Saitta, Michèle Sebag, Marco Botta: Analyzing Relational Learning in the Phase Transition Framework. ICML 2000: 311-318 | |
21 | EE | Attilio Giordana, Lorenza Saitta, Michèle Sebag, Marco Botta: Can Relational Learning Scale Up? ISMIS 2000: 31-39 |
20 | Marco Botta, Roberto Piola: Refining Numerical Constants in First Order Logic Theories. Machine Learning 38(1-2): 109-131 (2000) | |
1999 | ||
19 | EE | Marco Botta, Attilio Giordana, Lorenza Saitta, Michèle Sebag: Relational Learning: Hard Problems and Phase Transitions. AI*IA 1999: 178-189 |
18 | Attilio Giordana, Marco Botta, Lorenza Saitta: An Experimental Study of Phase Transitions in Matching. IJCAI 1999: 1198-1203 | |
1998 | ||
17 | Marco Botta, Attilio Giordana, Roberto Piola: An Integrated Framework of Learning Numerical Terms in FOL. ECAI 1998: 415-419 | |
1997 | ||
16 | Marco Botta, Attilio Giordana, Roberto Piola: Refining Numerical Terms in Horn Clauses. AI*IA 1997: 13-23 | |
15 | Marco Botta, Attilio Giordana, Roberto Piola: FONN: Combining First Order Logic with Connectionist Learning. ICML 1997: 46-56 | |
14 | Marco Botta, Attilio Giordana, Roberto Piola: Refining First Order Theories with Neural Networks. ISMIS 1997: 84-93 | |
13 | Attilio Giordana, Filippo Neri, Lorenza Saitta, Marco Botta: Integrating Multiple Learning Strategies in First Order Logics. Machine Learning 27(3): 209-240 (1997) | |
1995 | ||
12 | Cristina Baroglio, Marco Botta: Multiple Predicate Learning with RTL. AI*IA 1995: 44-55 | |
1994 | ||
11 | Marco Botta: Learning First Order Theories. ISMIS 1994: 356-365 | |
1993 | ||
10 | Marco Botta, Attilio Giordana: SMART+: A Multi-Strategy Learning Tool. IJCAI 1993: 937-945 | |
9 | Cristina Baroglio, Marco Botta, Attilio Giordana: Learning Relations: An Evaluation of Search Strategies. Fundam. Inform. 18: 221-232 (1993) | |
8 | Lorenza Saitta, Marco Botta, Filippo Neri: Multistrategy Learning and Theory Revision. Machine Learning 11: 153-172 (1993) | |
1992 | ||
7 | Marco Botta, Attilio Giordana, Lorenza Saitta: Comparison of Search Strategies in Learning Relations. ECAI 1992: 451-455 | |
6 | 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) | |
1991 | ||
5 | 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 | |
4 | Marco Botta, Attilio Giordana: Learning Quantitative Features in a Symbolic Environment. ISMIS 1991: 296-305 | |
3 | Marco Botta, S. Ravotto, Lorenza Saitta, S. B. Sperotto: Improving Learning Using Causality and Abduction. ML 1991: 480-484 | |
1988 | ||
2 | Marco Botta, Lorenza Saitta: Improving Knowledge-Based System Performance by Experience. EWSL 1988: 15-23 | |
1 | Marco Botta: Constructive Learning in Conjunctive Concept Characterization. ISMIS 1988: 293-302 |