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) |