Lorenza Saitta - researchr alias

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2010

Structured Hidden Markov Model versus String Kernel Machines for Symbolic Sequence ClassificationUgo Galassi, Marco Botta, Lorenza Saitta. In Jacek Koronacki, Zbigniew W. Ras, Slawomir T. Wierzchon, Janusz Kacprzyk, editors, Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski. Volume 262 of Studies in Computational Intelligence, pages 275-295, Springer, 2010. [doi]

2009

Statistical Characterization of a Computer GridLovro Ilijasic, Lorenza Saitta. ismis 2009: 523-532 [doi]

Abstracting Complex Interaction NetworksLorenza Saitta, Corneliu Henegar, Jean-Daniel Zucker. sara 2009: [doi]

2008

Structured Hidden Markov Models: A General Tool for Modeling Agent BehaviorsUgo Galassi, Attilio Giordana, Lorenza Saitta. In Bhanu Prasad, editor, Soft Computing Applications in Business. Volume 230 of Studies in Fuzziness and Soft Computing, pages 273-292, Springer, 2008. [doi]

Image Databases Browsing by Unsupervised LearningCharbel Julien, Lorenza Saitta. ismis 2008: 389-398 [doi]

A Comparison between Two Statistical Relational ModelsLorenza Saitta, Christel Vrain. ilp 2008: 244-260 [doi]

2007

Incremental Construction of Structured Hidden Markov ModelsUgo Galassi, Attilio Giordana, Lorenza Saitta. IJCAI 2007: 798-803 [doi]

Structured Hidden Markov Model: A General Framework for Modeling Complex SequencesUgo Galassi, Attilio Giordana, Lorenza Saitta. aiia 2007: 290-301 [doi]

Modeling Temporal Behavior via Structured Hidden Markov Models: an Application to Keystroking DynamicsUgo Galassi, Attilio Giordana, Charbel Julien, Lorenza Saitta. iicai 2007: 2140-2154

Feature construction from synergic pairs to improve microarray-based classificationBlaise Hanczar, Jean-Daniel Zucker, Corneliu Henegar, Lorenza Saitta. bioinformatics, 23(21):2866-2872, 2007. [doi]

Abstraction and Complexity MeasuresLorenza Saitta, Jean-Daniel Zucker. sara 2007: 375-390 [doi]

Formalizing the Abstraction Process in Model-Based DiagnosisLorenza Saitta, Pietro Torasso, Gianluca Torta. sara 2007: 314-328 [doi]

2006

Machine Learning and Data MiningFloriana Esposito, Attilio Giordana, Lorenza Saitta. ia, 3(1-2):63-71, 2006.

Hypothesis Diversity in Ensemble ClassificationLorenza Saitta. ismis 2006: 662-670 [doi]

2005

Experimental comparison between bagging and Monte Carlo ensemble classificationRoberto Esposito, Lorenza Saitta. icml 2005: 209-216 [doi]

Learning Complex Event Descriptions by AbstractionUgo Galassi, Attilio Giordana, Lorenza Saitta, Marco Botta. IJCAI 2005: 1600-1601 [doi]

Learning Profiles Based on Hierarchical Hidden Markov ModelUgo Galassi, Attilio Giordana, Lorenza Saitta, Marco Botta. ismis 2005: 47-55 [doi]

Experimental Evaluation of Hierarchical Hidden Markov ModelsAttilio Giordana, Ugo Galassi, Lorenza Saitta. aiia 2005: 249-257 [doi]

An Abstraction-based Machine Learning Approach to Cartographic GeneralisationLorenza Saitta, Jean-Daniel Zucker, Sébastien Mustière. iicai 2005: 621-638

Abstraction, Reformulation and Approximation, 6th International Symposium, SARA 2005, Airth Castle, Scotland, UK, July 26-29, 2005, ProceedingsJean-Daniel Zucker, Lorenza Saitta, editors, Volume 3607 of Lecture Notes in Computer Science, Springer, 2005.

2004

Proceedings of the 16th Eureopean Conference on Artificial Intelligence, ECAI 2004, including Prestigious Applicants of Intelligent Systems, PAIS 2004, Valencia, Spain, August 22-27, 2004Ramon López de Mántaras, Lorenza Saitta, editors, IOS Press, 2004.

A Monte Carlo analysis of ensemble classificationRoberto Esposito, Lorenza Saitta. icml 2004: [doi]

2003

2002

Is a Greedy Covering Strategy an Extreme Boosting?Roberto Esposito, Lorenza Saitta. ismis 2002: 94-102 [doi]

Abstracting Visual Percepts to Learn ConceptsJean-Daniel Zucker, Nicolas Bredeche, Lorenza Saitta. sara 2002: 256-273 [doi]

2001

Boosting as a Monte Carlo AlgorithmRoberto Esposito, Lorenza Saitta. aiia 2001: 11-19 [doi]

A Model of Abstraction in Visual PerceptionLorenza Saitta, Jean-Daniel Zucker. aai, 15(8):761-776, 2001.

Integrated Architectures for Machine LearningLorenza Saitta. ac 2001: 218-229 [doi]

Learning on the Phase Transition EdgeAlessandro Serra, Attilio Giordana, Lorenza Saitta. IJCAI 2001: 921-926

2000

1999

1998

An Experimental Evaluation of Coevolutive Concept LearningCosimo Anglano, Attilio Giordana, Giuseppe Lo Bello, Lorenza Saitta. icml 1998: 19-27

Coevolutionary, Distributed Search for Inducing Concept DescriptionCosimo Anglano, Attilio Giordana, Giuseppe Lo Bello, Lorenza Saitta. ecml 1998: 322-333

Learning in the Real World Lorenza Saitta, Filippo Neri. ml, 30(2-3):133-163, 1998.

1997

1996

A Fine-Grained Parallel Evolutionary Program for Concept InductionAttilio Giordana, Filippo Neri, Lorenza Saitta. ismis 1996: 168-177

Exploring the Power of Genetic Search in Learning Symbolic ClassifiersFilippo Neri, Lorenza Saitta. pami, 18(11):1135-1141, 1996. [doi]

An Analysis of the Universal Suffrage Selection OperatorFilippo Neri, Lorenza Saitta. ec, 4(1):87-107, 1996.

Representation Change in Machine LearningLorenza Saitta. aicom, 9(1):14-20, 1996.

1995

Analysis of Genetic Algorithms Evolution under Pure SelectionFilippo Neri, Lorenza Saitta. icga 1995: 32-41

1994

1993

1992

Learning Mutually Dependent RelationsCristina Baroglio, Attilio Giordana, Lorenza Saitta. jiis, 1(2):159-176, 1992.

Comparison of Search Strategies in Learning RelationsMarco Botta, Attilio Giordana, Lorenza Saitta. ecai 1992: 451-455

Use of Causal Models and Abduction in Learning Diagnostic KnowledgeMarco Botta, Lorenza Saitta. ijmms, 36(2):289-307, 1992.

1991

Integrated Learning in a Real DomainFrancesco Bergadano, Attilio Giordana, Lorenza Saitta, Filippo Brancadori, Davide De Marchi. In Knowledge Discovery in Databases. pages 277-288, 1991.

Machine learning - an integrated framework and its applicationsFrancesco Bergadano, Attilio Giordana, Lorenza Saitta. Ellis Horwood series in artificial intelligence, Ellis Horwood, 1991.

Improving Learning Using Causality and AbductionMarco Botta, S. Ravotto, Lorenza Saitta, S. B. Sperotto. icml 1991: 480-484

Use of a Causal Model to Learn Diagnostic Knowledge in a Real DomainMarco Botta, Filippo Brancadori, S. Ravotto, Lorenza Saitta, S. B. Sperotto. aiia 1991: 228-237

Investigating the Relationships between Abduction and Inverse Resolution in Proposition CalculusLuca Console, Attilio Giordana, Lorenza Saitta. ismis 1991: 316-325

Rigel: An Inductive Learning SystemRoberto Gemello, Franco Mana, Lorenza Saitta. ml, 6:7-35, 1991.

Abstracting Concepts with Inverse ResolutionAttilio Giordana, Lorenza Saitta, Davide Roverso. icml 1991: 142-146

Abstracting Background Knowledge for Concept LearningAttilio Giordana, Davide Roverso, Lorenza Saitta. ecml 1991: 1-13

Extending Inverse Resolution to Build Up AbstractionsAttilio Giordana, Lorenza Saitta, R. Finelli, M. Paderni, Davide Roverso. aiia 1991: 238-247

Panel: Causality and LearningLorenza Saitta. ecml 1991: 345

1990

Integrated Learning in a real DomainFrancesco Bergadano, Attilio Giordana, Lorenza Saitta, Davide De Marchi, Filippo Brancadori. icml 1990: 322-329

Biasing Induction by Using a Domain Theory: An Experimental EvaluationFrancesco Bergadano, Attilio Giordana, Lorenza Saitta. ecai 1990: 84-89

1989

Knowledge representation and use in pattern analysisFrancesco Bergadano, Attilio Giordana, Lorenza Saitta. isci, 47(1):1-16, 1989. [doi]

1988

Automated Concept Acquisition in Noisy EnvironmentsFrancesco Bergadano, Attilio Giordana, Lorenza Saitta. pami, 10(4):555-578, 1988. [doi]

Concept Acquisition in an Integrated EBL and SBL EnvironmentFrancesco Bergadano, Attilio Giordana, Lorenza Saitta. ecai 1988: 363-368

Improving Knowledge-Based System Performance by ExperienceMarco Botta, Lorenza Saitta. ecml 1988: 15-23

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, ProceedingsBernadette Bouchon-Meunier, Lorenza Saitta, Ronald R. Yager, editors, Volume 313 of Lecture Notes in Computer Science, Springer, 1988.

1987

Integrating EBL and SBL Approaches to Knowledge Base RefinementFrancesco Bergadano, Attilio Giordana, Lorenza Saitta. ismis 1987: 309-316

1986

Knowledge base organization in expert systemsSimonetta Frediani, Lorenza Saitta. ipmu 1987: 217-224

Discrimination of Words in a Large Vocabulary Using Phonetic DescriptionsAttilio Giordana, Lorenza Saitta, Pietro Laface. ijmms, 24(5):453-473, 1986.

1985

Modelling Production Systems by means of Predicate-Transitions NetworksAttilio Giordana, Lorenza Saitta. isci, 35(1):1-41, 1985. [doi]

An expert system oriented to complex pattern recognition problemsAttilio Giordana, Lorenza Saitta. isci, 36(1-2):157-177, 1985. [doi]

Evidence Combination in Expert SystemsLeonardo Lesmo, Lorenza Saitta, Pietro Torasso. ijmms, 22(3):307-326, 1985.

1984

An expert system for mapping acoustic cues into phonetic featuresRenato de Mori, Attilio Giordana, Pietro Laface, Lorenza Saitta. isci, 33(1-2):115-155, 1984. [doi]

1983

Experiments in Evidence Composition in a Speech Understanding SystemLorenza Saitta. ijmms, 19(1):19-31, 1983.

1982

An Expert System for Speech DecodingRenato de Mori, Attilio Giordana, Pietro Laface, Lorenza Saitta. ecai 1982: 127-132

An Expert System for Interpreting Speech PatternsRenato de Mori, Attilio Giordana, Lorenza Saitta, Pietro Laface. AAAI 1982: 107-110

1980

Automatic learning of fuzzy naming relations over finite languagesRenato de Mori, Lorenza Saitta. isci, 21(2):93-139, 1980. [doi]

1979

Complexity of lambda-term reductionsMariangiola Dezani-Ciancaglini, Simona Ronchi Della Rocca, Lorenza Saitta. ita, 13(3), 1979.