Lorenza Saitta

Lorenza Saitta: Phase Transitions: A New Paradigm for Evaluating Complexity in Learning and other Complex Systems. IICAI 2011: 2

Lorenza Saitta, Christel Vrain, Zhaohui Wu, Lu Jiang, Qinghua Zheng, Jun Liu: Abstracting Markov Networks. Abstraction, Reformulation, and Approximation 2010

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

Lorenza Saitta, Michèle Sebag: Grammatical Inference. Encyclopedia of Machine Learning 2010: 458

Lorenza Saitta, Michèle Sebag: Phase Transitions in Machine Learning. Encyclopedia of Machine Learning 2010: 767-773

Lovro Ilijasic, Lorenza Saitta: Statistical Characterization of a Computer Grid. ISMIS 2009: 523-532

Lorenza Saitta, Corneliu Henegar, Jean-Daniel Zucker: Abstracting Complex Interaction Networks. SARA 2009

Lorenza Saitta, Christel Vrain: A Comparison between Two Statistical Relational Models. ILP 2008: 244-260

Charbel Julien, Lorenza Saitta: Image Databases Browsing by Unsupervised Learning. ISMIS 2008: 389-398

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

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)

Ugo Galassi, Attilio Giordana, Lorenza Saitta: Structured Hidden Markov Model: A General Framework for Modeling Complex Sequences. AI*IA 2007: 290-301

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

Ugo Galassi, Attilio Giordana, Lorenza Saitta: Incremental Construction of Structured Hidden Markov Models. IJCAI 2007: 798-803

Lorenza Saitta, Pietro Torasso, Gianluca Torta: Formalizing the Abstraction Process in Model-Based Diagnosis. SARA 2007: 314-328

Lorenza Saitta, Jean-Daniel Zucker: Abstraction and Complexity Measures. SARA 2007: 375-390

Floriana Esposito, Attilio Giordana, Lorenza Saitta: Machine Learning and Data Mining. Intelligenza Artificiale 3(1-2): 63-71 (2006)

Lorenza Saitta: Hypothesis Diversity in Ensemble Classification. ISMIS 2006: 662-670

Attilio Giordana, Ugo Galassi, Lorenza Saitta: Experimental Evaluation of Hierarchical Hidden Markov Models. AI*IA 2005: 249-257

Roberto Esposito, Lorenza Saitta: Experimental comparison between bagging and Monte Carlo ensemble classification. ICML 2005: 209-216

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

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

Jean-Daniel Zucker, Lorenza Saitta (Eds.): Abstraction, Reformulation and Approximation, 6th International Symposium, SARA 2005, Airth Castle, Scotland, UK, July 26-29, 2005, Proceedings. Lecture Notes in Computer Science 3607, Springer 2005, isbn 3-540-27872-9

Roberto Esposito, Lorenza Saitta: A Monte Carlo analysis of ensemble classification. ICML 2004

Ramon López de Mántaras, Lorenza Saitta (Eds.): 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, isbn 1-58603-452-9

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)

Roberto Esposito, Lorenza Saitta: Explaining Bagging with Monte Carlo Theory. AI*IA 2003: 189-200

Attilio Giordana, Lorenza Saitta: Transition de phase et apprentissage relationnel : une analyse critique. EGC 2003: 25-30

Roberto Esposito, Lorenza Saitta: Monte Carlo Theory as an Explanation of Bagging and Boosting. IJCAI 2003: 499-504

Roberto Esposito, Lorenza Saitta: Is a Greedy Covering Strategy an Extreme Boosting? ISMIS 2002: 94-102

Jean-Daniel Zucker, Nicolas Bredeche, Lorenza Saitta: Abstracting Visual Percepts to Learn Concepts. SARA 2002: 256-273

Lorenza Saitta, Jean-Daniel Zucker: A Model of Abstraction in Visual Perception. Applied Artificial Intelligence 15(8): 761-776 (2001)

Lorenza Saitta: Integrated Architectures for Machine Learning. Machine Learning and Its Applications 2001: 218-229

Roberto Esposito, Lorenza Saitta: Boosting as a Monte Carlo Algorithm. AI*IA 2001: 11-19

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

Floriana Esposito, Ryszard S. Michalski, Lorenza Saitta: Guest Editors' Introduction. Machine Learning 38(1-2): 5-7 (2000)

Attilio Giordana, Lorenza Saitta: Phase Transitions in Relational Learning. Machine Learning 41(2): 217-251 (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

Lorenza Saitta, Jean-Daniel Zucker: Perception-Based Granularity Levels in Concept Representation. ISMIS 2000: 409-416

Sébastien Mustière, Lorenza Saitta, Jean-Daniel Zucker: Abstraction in Cartographic Generalization. ISMIS 2000: 638-644

Lorenza Saitta, Jean-Daniel Zucker: Abstraction and Phase Transitions in Relational Learning. SARA 2000: 291-302

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

Sébastien Mustière, Jean-Daniel Zucker, Lorenza Saitta: Cartographic Generalization as a Combination of Representing and Abstracting Knowledge. ACM-GIS 1999: 162-164

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

Attilio Giordana, Lorenza Saitta: On-Line Estimation of Matching Complexity in First Order Logic. ISMIS 1999: 76-84

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

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

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

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

Filippo Neri, Lorenza Saitta, Andrée Tiberghien: Modelling Conceptual Change: An Interdisciplinary Approach. AI*IA 1997: 1-12

Cosimo Anglano, Attilio Giordana, Giuseppe Lo Bello, Lorenza Saitta: A Network Genetic Algorithm for Concept Learning. ICGA 1997: 434-441

Lorenza Saitta, Filippo Neri, Andrée Tiberghien: World Model Construction in Children during Physics Learning. ISMIS 1997: 127-136

Attilio Giordana, Lorenza Saitta, Giuseppe Lo Bello: A Coevolutionary Approach to Concept Learning. ISMIS 1997: 257-266

Filippo Neri, Lorenza Saitta: Machine Learning for Information Extraction. SCIE 1997: 171-191

Lorenza Saitta: Representation Change in Machine Learning. AI Commun. 9(1): 14-20 (1996)

Filippo Neri, Lorenza Saitta: An Analysis of the ``Universal Suffrage'' Selection Operator. Evolutionary Computation 4(1): 87-107 (1996)

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)

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

Lorenza Saitta (Ed.): Machine Learning, Proceedings of the Thirteenth International Conference (ICML '96), Bari, Italy, July 3-6, 1996. Morgan Kaufmann 1996, isbn 1-55860-419-7

Filippo Neri, Lorenza Saitta: Analysis of Genetic Algorithms Evolution under Pure Selection. ICGA 1995: 32-41

Attilio Giordana, Lorenza Saitta, Floriano Zini: Learning Disjunctive Concept Definitions Using a Genetic Algorithm. ECAI 1994: 483-486

Filippo Neri, Lorenza Saitta: Knowledge Representation in Machine Learning. ECML 1994: 20-27

Attilio Giordana, Lorenza Saitta, Floriano Zini: Learning Disjunctive Concepts with Distributed Genetic Algorithms. International Conference on Evolutionary Computation 1994: 115-119

Attilio Giordana, Lorenza Saitta, Floriano Zini: Learning Disjunctive Concepts by Means of Genetic Algorithms. ICML 1994: 96-104

Attilio Giordana, Filippo Neri, Lorenza Saitta: Formal Models of Selection in Genetic Algorithms. ISMIS 1994: 124-133

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

Lorenza Saitta, Francesco Bergadano: Pattern Recognition and Valiant's Learning Framework. IEEE Trans. Pattern Anal. Mach. Intell. 15(2): 145-155 (1993)

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)

Claudie Faure, Simonetta Frediani, Lorenza Saitta: A semiautomated methodology for knowledge elicitation. IEEE Transactions on Systems, Man, and Cybernetics 23(2): 346-356 (1993)

Attilio Giordana, Lorenza Saitta, M. E. Campidoglio, Giuseppe Lo Bello: Learning Relations Using Genetic Algorithms. AI*IA 1993: 218-229

Attilio Giordana, Lorenza Saitta, Cristina Baroglio: Learning Simple Recursive Theories. ISMIS 1993: 425-434

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)

Cristina Baroglio, Attilio Giordana, Lorenza Saitta: Learning Mutually Dependent Relations. J. Intell. Inf. Syst. 1(2): 159-176 (1992)

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

Francesco Bergadano, Attilio Giordana, Lorenza Saitta: Machine learning - an integrated framework and its applications. Ellis Horwood series in artificial intelligence, Ellis Horwood 1991, isbn 978-0-13-541749-2, pp. I-VI, 1-146

Roberto Gemello, Franco Mana, Lorenza Saitta: Rigel: An Inductive Learning System. Machine Learning 6: 7-35 (1991)

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

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

Attilio Giordana, Lorenza Saitta, R. Finelli, M. Paderni, Davide Roverso: Extending Inverse Resolution to Build Up Abstractions. AI*IA 1991: 238-247

Attilio Giordana, Davide Roverso, Lorenza Saitta: Abstracting Background Knowledge for Concept Learning. EWSL 1991: 1-13

Lorenza Saitta: Panel: Causality and Learning. EWSL 1991: 345

Attilio Giordana, Lorenza Saitta, Davide Roverso: Abstracting Concepts with Inverse Resolution. ML 1991: 142-146

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

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

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

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

Leonardo Lesmo, Lorenza Saitta, Pietro Torasso: Dealing with uncertain knowledge in medical decision-making: A case study in hepatology. Artificial Intelligence in Medicine 1(3): 105-116 (1989)

Francesco Bergadano, Attilio Giordana, Lorenza Saitta: Knowledge representation and use in pattern analysis. Inf. Sci. 47(1): 1-16 (1989)

Francesco Bergadano, Attilio Giordana, Lorenza Saitta: Automated Concept Acquisition in Noisy Environments. IEEE Trans. Pattern Anal. Mach. Intell. 10(4): 555-578 (1988)

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

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

Bernadette Bouchon-Meunier, Lorenza Saitta, Ronald R. Yager (Eds.): 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. Lecture Notes in Computer Science 313, Springer 1988, isbn 3-540-19402-9

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

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)

Simonetta Frediani, Lorenza Saitta: Knowledge base organization in expert systems. IPMU 1986: 217-224

Leonardo Lesmo, Lorenza Saitta, Pietro Torasso: Evidence Combination in Expert Systems. International Journal of Man-Machine Studies 22(3): 307-326 (1985)

Attilio Giordana, Lorenza Saitta: Modelling Production Systems by means of Predicate-Transitions Networks. Inf. Sci. 35(1): 1-41 (1985)

Attilio Giordana, Lorenza Saitta: An expert system oriented to complex pattern recognition problems. Inf. Sci. 36(1-2): 157-177 (1985)

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)

Lorenza Saitta: Experiments in Evidence Composition in a Speech Understanding System. International Journal of Man-Machine Studies 19(1): 19-31 (1983)

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

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

Renato de Mori, Lorenza Saitta: Automatic learning of fuzzy naming relations over finite languages. Inf. Sci. 21(2): 93-139 (1980)

Mariangiola Dezani-Ciancaglini, Simona Ronchi Della Rocca, Lorenza Saitta: Complexity of lambda-term reductions. ITA 13(3) (1979)

Renato de Mori, Lorenza Saitta: Scheduling of Processes in a Speech Understanding System Based on Approximate Reasoning. IJCAI 1979: 204-207