2008 | ||
---|---|---|
95 | EE | Lorenza Saitta, Christel Vrain: A Comparison between Two Statistical Relational Models. ILP 2008: 244-260 |
94 | EE | Charbel Julien, Lorenza Saitta: Image Databases Browsing by Unsupervised Learning. ISMIS 2008: 389-398 |
93 | EE | Ugo Galassi, Attilio Giordana, Lorenza Saitta: Structured Hidden Markov Models: A General Tool for Modeling Agent Behaviors. Soft Computing Applications in Business 2008: 273-292 |
2007 | ||
92 | EE | Ugo Galassi, Attilio Giordana, Lorenza Saitta: Structured Hidden Markov Model: A General Framework for Modeling Complex Sequences. AI*IA 2007: 290-301 |
91 | Ugo Galassi, Attilio Giordana, Charbel Julien, Lorenza Saitta: Modeling Temporal Behavior via Structured Hidden Markov Models: an Application to Keystroking Dynamics. IICAI 2007: 2140-2154 | |
90 | EE | Ugo Galassi, Attilio Giordana, Lorenza Saitta: Incremental Construction of Structured Hidden Markov Models. IJCAI 2007: 798-803 |
89 | EE | Lorenza Saitta, Pietro Torasso, Gianluca Torta: Formalizing the Abstraction Process in Model-Based Diagnosis. SARA 2007: 314-328 |
88 | EE | Lorenza Saitta, Jean-Daniel Zucker: Abstraction and Complexity Measures. SARA 2007: 375-390 |
87 | EE | Blaise Hanczar, Jean-Daniel Zucker, Corneliu Henegar, Lorenza Saitta: Feature construction from synergic pairs to improve microarray-based classification. Bioinformatics 23(21): 2866-2872 (2007) |
2006 | ||
86 | EE | Lorenza Saitta: Hypothesis Diversity in Ensemble Classification. ISMIS 2006: 662-670 |
85 | Floriana Esposito, Attilio Giordana, Lorenza Saitta: Machine Learning and Data Mining. Intelligenza Artificiale 3(1-2): 63-71 (2006) | |
2005 | ||
84 | Jean-Daniel Zucker, Lorenza Saitta: Abstraction, Reformulation and Approximation, 6th International Symposium, SARA 2005, Airth Castle, Scotland, UK, July 26-29, 2005, Proceedings Springer 2005 | |
83 | EE | Attilio Giordana, Ugo Galassi, Lorenza Saitta: Experimental Evaluation of Hierarchical Hidden Markov Models. AI*IA 2005: 249-257 |
82 | EE | Roberto Esposito, Lorenza Saitta: Experimental comparison between bagging and Monte Carlo ensemble classification. ICML 2005: 209-216 |
81 | Lorenza Saitta, Jean-Daniel Zucker, Sébastien Mustière: An Abstraction-based Machine Learning Approach to Cartographic Generalisation. IICAI 2005: 621-638 | |
80 | EE | Ugo Galassi, Attilio Giordana, Lorenza Saitta, Marco Botta: Learning Complex Event Descriptions by Abstraction. IJCAI 2005: 1600-1601 |
79 | EE | Ugo Galassi, Attilio Giordana, Lorenza Saitta, Marco Botta: Learning Profiles Based on Hierarchical Hidden Markov Model. ISMIS 2005: 47-55 |
2004 | ||
78 | Ramon López de Mántaras, Lorenza Saitta: Proceedings of the 16th Eureopean Conference on Artificial Intelligence, ECAI'2004, including Prestigious Applicants of Intelligent Systems, PAIS 2004, Valencia, Spain, August 22-27, 2004 IOS Press 2004 | |
77 | EE | Roberto Esposito, Lorenza Saitta: A Monte Carlo analysis of ensemble classification. ICML 2004 |
2003 | ||
76 | EE | Roberto Esposito, Lorenza Saitta: Explaining Bagging with Monte Carlo Theory. AI*IA 2003: 189-200 |
75 | Attilio Giordana, Lorenza Saitta: Transition de phase et apprentissage relationnel : une analyse critique. EGC 2003: 25-30 | |
74 | Roberto Esposito, Lorenza Saitta: Monte Carlo Theory as an Explanation of Bagging and Boosting. IJCAI 2003: 499-504 | |
73 | 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 | ||
72 | EE | Roberto Esposito, Lorenza Saitta: Is a Greedy Covering Strategy an Extreme Boosting? ISMIS 2002: 94-102 |
71 | EE | Jean-Daniel Zucker, Nicolas Bredeche, Lorenza Saitta: Abstracting Visual Percepts to Learn Concepts. SARA 2002: 256-273 |
2001 | ||
70 | EE | Roberto Esposito, Lorenza Saitta: Boosting as a Monte Carlo Algorithm. AI*IA 2001: 11-19 |
69 | Alessandro Serra, Attilio Giordana, Lorenza Saitta: Learning on the Phase Transition Edge. IJCAI 2001: 921-926 | |
68 | EE | Lorenza Saitta: Integrated Architectures for Machine Learning. Machine Learning and Its Applications 2001: 218-229 |
67 | Lorenza Saitta, Jean-Daniel Zucker: A Model of Abstraction in Visual Perception. Applied Artificial Intelligence 15(8): 761-776 (2001) | |
2000 | ||
66 | Attilio Giordana, Lorenza Saitta, Michèle Sebag, Marco Botta: Analyzing Relational Learning in the Phase Transition Framework. ICML 2000: 311-318 | |
65 | EE | Attilio Giordana, Lorenza Saitta, Michèle Sebag, Marco Botta: Can Relational Learning Scale Up? ISMIS 2000: 31-39 |
64 | EE | Lorenza Saitta, Jean-Daniel Zucker: Perception-Based Granularity Levels in Concept Representation. ISMIS 2000: 409-416 |
63 | EE | Sébastien Mustière, Lorenza Saitta, Jean-Daniel Zucker: Abstraction in Cartographic Generalization. ISMIS 2000: 638-644 |
62 | EE | Lorenza Saitta, Jean-Daniel Zucker: Abstraction and Phase Transitions in Relational Learning. SARA 2000: 291-302 |
61 | Floriana Esposito, Ryszard S. Michalski, Lorenza Saitta: Guest Editors' Introduction. Machine Learning 38(1-2): 5-7 (2000) | |
60 | Attilio Giordana, Lorenza Saitta: Phase Transitions in Relational Learning. Machine Learning 41(2): 217-251 (2000) | |
1999 | ||
59 | EE | Sébastien Mustière, Jean-Daniel Zucker, Lorenza Saitta: Cartographic Generalization as a Combination of Representing and Abstracting Knowledge. ACM-GIS 1999: 162-164 |
58 | EE | Marco Botta, Attilio Giordana, Lorenza Saitta, Michèle Sebag: Relational Learning: Hard Problems and Phase Transitions. AI*IA 1999: 178-189 |
57 | Attilio Giordana, Marco Botta, Lorenza Saitta: An Experimental Study of Phase Transitions in Matching. IJCAI 1999: 1198-1203 | |
56 | Attilio Giordana, Lorenza Saitta: On-Line Estimation of Matching Complexity in First Order Logic. ISMIS 1999: 76-84 | |
1998 | ||
55 | Cosimo Anglano, Attilio Giordana, Giuseppe Lo Bello, Lorenza Saitta: Coevolutionary, Distributed Search for Inducing Concept Description. ECML 1998: 322-333 | |
54 | Cosimo Anglano, Attilio Giordana, Giuseppe Lo Bello, Lorenza Saitta: An Experimental Evaluation of Coevolutive Concept Learning. ICML 1998: 19-27 | |
53 | Lorenza Saitta, Filippo Neri: Learning in the `` Real World''. Machine Learning 30(2-3): 133-163 (1998) | |
1997 | ||
52 | Filippo Neri, Lorenza Saitta, Andrée Tiberghien: Modelling Conceptual Change: An Interdisciplinary Approach. AI*IA 1997: 1-12 | |
51 | Cosimo Anglano, Attilio Giordana, Giuseppe Lo Bello, Lorenza Saitta: A Network Genetic Algorithm for Concept Learning. ICGA 1997: 434-441 | |
50 | Lorenza Saitta, Filippo Neri, Andrée Tiberghien: World Model Construction in Children during Physics Learning. ISMIS 1997: 127-136 | |
49 | Attilio Giordana, Lorenza Saitta, Giuseppe Lo Bello: A Coevolutionary Approach to Concept Learning. ISMIS 1997: 257-266 | |
48 | Filippo Neri, Lorenza Saitta: Machine Learning for Information Extraction. SCIE 1997: 171-191 | |
47 | Attilio Giordana, Filippo Neri, Lorenza Saitta, Marco Botta: Integrating Multiple Learning Strategies in First Order Logics. Machine Learning 27(3): 209-240 (1997) | |
1996 | ||
46 | Attilio Giordana, Filippo Neri, Lorenza Saitta: A Fine-Grained Parallel Evolutionary Program for Concept Induction. ISMIS 1996: 168-177 | |
45 | Lorenza Saitta: Representation Change in Machine Learning. AI Commun. 9(1): 14-20 (1996) | |
44 | Filippo Neri, Lorenza Saitta: An Analysis of the ``Universal Suffrage'' Selection Operator. Evolutionary Computation 4(1): 87-107 (1996) | |
43 | EE | Filippo Neri, Lorenza Saitta: Exploring the Power of Genetic Search in Learning Symbolic Classifiers. IEEE Trans. Pattern Anal. Mach. Intell. 18(11): 1135-1141 (1996) |
1995 | ||
42 | Filippo Neri, Lorenza Saitta: Analysis of Genetic Algorithms Evolution under Pure Selection. ICGA 1995: 32-41 | |
1994 | ||
41 | Attilio Giordana, Lorenza Saitta, Floriano Zini: Learning Disjunctive Concept Definitions Using a Genetic Algorithm. ECAI 1994: 483-486 | |
40 | Filippo Neri, Lorenza Saitta: Knowledge Representation in Machine Learning. ECML 1994: 20-27 | |
39 | Attilio Giordana, Lorenza Saitta, Floriano Zini: Learning Disjunctive Concepts by Means of Genetic Algorithms. ICML 1994: 96-104 | |
38 | Attilio Giordana, Filippo Neri, Lorenza Saitta: Formal Models of Selection in Genetic Algorithms. ISMIS 1994: 124-133 | |
37 | Attilio Giordana, Lorenza Saitta, Floriano Zini: Learning Disjunctive Concepts with Distributed Genetic Algorithms. International Conference on Evolutionary Computation 1994: 115-119 | |
1993 | ||
36 | Attilio Giordana, Lorenza Saitta, M. E. Campidoglio, Giuseppe Lo Bello: Learning Relations Using Genetic Algorithms. AI*IA 1993: 218-229 | |
35 | Attilio Giordana, Lorenza Saitta, Cristina Baroglio: Learning Simple Recursive Theories. ISMIS 1993: 425-434 | |
34 | EE | Attilio Giordana, Lorenza Saitta, Francesco Bergadano, Filippo Brancadori, Davide De Marchi: ENIGMA: A System That Learns Diagnostic Knowledge. IEEE Trans. Knowl. Data Eng. 5(1): 15-28 (1993) |
33 | EE | Lorenza Saitta, Francesco Bergadano: Pattern Recognition and Valiant's Learning Framework. IEEE Trans. Pattern Anal. Mach. Intell. 15(2): 145-155 (1993) |
32 | Lorenza Saitta, Marco Botta, Filippo Neri: Multistrategy Learning and Theory Revision. Machine Learning 11: 153-172 (1993) | |
1992 | ||
31 | Marco Botta, Attilio Giordana, Lorenza Saitta: Comparison of Search Strategies in Learning Relations. ECAI 1992: 451-455 | |
30 | 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) | |
29 | Cristina Baroglio, Attilio Giordana, Lorenza Saitta: Learning Mutually Dependent Relations. J. Intell. Inf. Syst. 1(2): 159-176 (1992) | |
1991 | ||
28 | 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 | |
27 | Attilio Giordana, Lorenza Saitta, R. Finelli, M. Paderni, Davide Roverso: Extending Inverse Resolution to Build Up Abstractions. AI*IA 1991: 238-247 | |
26 | Attilio Giordana, Davide Roverso, Lorenza Saitta: Abstracting Background Knowledge for Concept Learning. EWSL 1991: 1-13 | |
25 | Lorenza Saitta: Panel: Causality and Learning. EWSL 1991: 345 | |
24 | Luca Console, Attilio Giordana, Lorenza Saitta: Investigating the Relationships between Abduction and Inverse Resolution in Proposition Calculus. ISMIS 1991: 316-325 | |
23 | Attilio Giordana, Lorenza Saitta, Davide Roverso: Abstracting Concepts with Inverse Resolution. ML 1991: 142-146 | |
22 | Marco Botta, S. Ravotto, Lorenza Saitta, S. B. Sperotto: Improving Learning Using Causality and Abduction. ML 1991: 480-484 | |
21 | Francesco Bergadano, Attilio Giordana, Lorenza Saitta, Filippo Brancadori, Davide De Marchi: Integrated Learning in a Real Domain. Knowledge Discovery in Databases 1991: 277-288 | |
20 | Roberto Gemello, Franco Mana, Lorenza Saitta: Rigel: An Inductive Learning System. Machine Learning 6: 7-35 (1991) | |
1990 | ||
19 | Francesco Bergadano, Attilio Giordana, Lorenza Saitta: Biasing Induction by Using a Domain Theory: An Experimental Evaluation. ECAI 1990: 84-89 | |
18 | Francesco Bergadano, Attilio Giordana, Lorenza Saitta, Davide De Marchi, Filippo Brancadori: Integrated Learning in a real Domain. ML 1990: 322-329 | |
1989 | ||
17 | EE | Francesco Bergadano, Attilio Giordana, Lorenza Saitta: Knowledge representation and use in pattern analysis. Inf. Sci. 47(1): 1-16 (1989) |
1988 | ||
16 | Bernadette Bouchon-Meunier, Lorenza Saitta, Ronald R. Yager: Uncertainty and Intelligent Systems, 2nd International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU '88, Urbino, Italy, July 4-7, 1988, Proceedings Springer 1988 | |
15 | Francesco Bergadano, Attilio Giordana, Lorenza Saitta: Concept Acquisition in an Integrated EBL and SBL Environment. ECAI 1988: 363-368 | |
14 | Marco Botta, Lorenza Saitta: Improving Knowledge-Based System Performance by Experience. EWSL 1988: 15-23 | |
13 | EE | Francesco Bergadano, Attilio Giordana, Lorenza Saitta: Automated Concept Acquisition in Noisy Environments. IEEE Trans. Pattern Anal. Mach. Intell. 10(4): 555-578 (1988) |
1987 | ||
12 | Francesco Bergadano, Attilio Giordana, Lorenza Saitta: Integrating EBL and SBL Approaches to Knowledge Base Refinement. ISMIS 1987: 309-316 | |
1986 | ||
11 | Simonetta Frediani, Lorenza Saitta: Knowledge base organization in expert systems. IPMU 1986: 217-224 | |
10 | Attilio Giordana, Lorenza Saitta, Pietro Laface: Discrimination of Words in a Large Vocabulary Using Phonetic Descriptions. International Journal of Man-Machine Studies 24(5): 453-473 (1986) | |
1985 | ||
9 | EE | Attilio Giordana, Lorenza Saitta: Modelling Production Systems by means of Predicate-Transitions Networks. Inf. Sci. 35(1): 1-41 (1985) |
8 | EE | Attilio Giordana, Lorenza Saitta: An expert system oriented to complex pattern recognition problems. Inf. Sci. 36(1-2): 157-177 (1985) |
7 | Leonardo Lesmo, Lorenza Saitta, Pietro Torasso: Evidence Combination in Expert Systems. International Journal of Man-Machine Studies 22(3): 307-326 (1985) | |
1984 | ||
6 | EE | Renato de Mori, Attilio Giordana, Pietro Laface, Lorenza Saitta: An expert system for mapping acoustic cues into phonetic features. Inf. Sci. 33(1-2): 115-155 (1984) |
1983 | ||
5 | Lorenza Saitta: Experiments in Evidence Composition in a Speech Understanding System. International Journal of Man-Machine Studies 19(1): 19-31 (1983) | |
1982 | ||
4 | Renato de Mori, Attilio Giordana, Lorenza Saitta, Pietro Laface: An Expert System for Interpreting Speech Patterns. AAAI 1982: 107-110 | |
3 | Renato de Mori, Attilio Giordana, Pietro Laface, Lorenza Saitta: An Expert System for Speech Decoding. ECAI 1982: 127-132 | |
1980 | ||
2 | EE | Renato de Mori, Lorenza Saitta: Automatic learning of fuzzy naming relations over finite languages. Inf. Sci. 21(2): 93-139 (1980) |
1979 | ||
1 | Mariangiola Dezani-Ciancaglini, Simona Ronchi Della Rocca, Lorenza Saitta: Complexity of lambda-term reductions. ITA 13(3): (1979) |