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ORCIDLorenza Saitta
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- affiliation: University of Turin, Italy
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2010 – 2019
- 2018
[j34]Lorenza Saitta:
Piero Torasso's early contributions. Intelligenza Artificiale 12(1): 19-22 (2018)- 2017
- [r4]Lorenza Saitta, Michèle Sebag:
Grammatical Inference. Encyclopedia of Machine Learning and Data Mining 2017: 569-570 - [r3]Lorenza Saitta, Michèle Sebag:
Phase Transitions in Machine Learning. Encyclopedia of Machine Learning and Data Mining 2017: 974-982 - 2014
- [j33]Lorenza Saitta:
Classification: From expert to ensemble to crowd. Intelligenza Artificiale 8(1): 3-22 (2014) - 2013
- [j32]Nicola Di Mauro, Paolo Frasconi, Fabrizio Angiulli, Davide Bacciu, Marco de Gemmis, Floriana Esposito, Nicola Fanizzi, Stefano Ferilli, Marco Gori, Francesca A. Lisi, Pasquale Lops, Donato Malerba, Alessio Micheli
, Marcello Pelillo, Francesco Ricci, Fabrizio Riguzzi, Lorenza Saitta, Giovanni Semeraro:
Italian Machine Learning and Data Mining research: The last years. Intelligenza Artificiale 7(2): 77-89 (2013) - [c74]Lorenza Saitta:
Abstraction in Markov Networks. AI*IA 2013: 145-156 - [c73]Andrea Moio, Lorenza Saitta, Attilio Giordana:
A motion detection system for video surveillance. AIIP/Semantic Cities@IJCAI 2013: 17-22 - [c72]Lorenza Saitta:
Abstraction: A Historical and Interdisciplinary Perspective. SARA 2013 - 2011
- [c71]Lorenza Saitta:
Phase Transitions: A New Paradigm for Evaluating Complexity in Learning and other Complex Systems. IICAI 2011: 2 - [c70]Lorenza Saitta:
Abstract Graphical Models for Approximate Inference. IICAI 2011: 473-487 - 2010
- [c69]Lorenza Saitta, Christel Vrain, Zhaohui Wu, Lu Jiang, Qinghua Zheng, Jun Liu:
Abstracting Markov Networks. Abstraction, Reformulation, and Approximation 2010 - [p5]Michael May, Lorenza Saitta:
Introduction: The Challenge of Ubiquitous Knowledge Discovery. Ubiquitous Knowledge Discovery 2010: 3-18 - [p4]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 - [e6]Michael May, Lorenza Saitta:
Ubiquitous Knowledge Discovery - Challenges, Techniques, Applications. Lecture Notes in Computer Science 6202, Springer 2010, ISBN 978-3-642-16391-3 [contents] - [r2]Lorenza Saitta, Michèle Sebag:
Grammatical Inference. Encyclopedia of Machine Learning 2010: 458 - [r1]Lorenza Saitta, Michèle Sebag:
Phase Transitions in Machine Learning. Encyclopedia of Machine Learning 2010: 767-773
2000 – 2009
- 2009
- [c68]Lovro Ilijasic, Lorenza Saitta:
Statistical Characterization of a Computer Grid. ISMIS 2009: 523-532 - [c67]Lorenza Saitta, Corneliu Henegar, Jean-Daniel Zucker:
Abstracting Complex Interaction Networks. SARA 2009 - 2008
- [c66]Lorenza Saitta, Christel Vrain:
A Comparison between Two Statistical Relational Models. ILP 2008: 244-260 - [c65]Charbel Julien, Lorenza Saitta:
Image Databases Browsing by Unsupervised Learning. ISMIS 2008: 389-398 - [p3]Michael May, Bettina Berendt, Antoine Cornuéjols, João Gama, Fosca Giannotti, Andreas Hotho, Donato Malerba, Ernestina Menasalvas, Katharina Morik, Rasmus Ulslev Pedersen, Lorenza Saitta, Yücel Saygin, Assaf Schuster, Koen Vanhoof:
Research Challenges in Ubiquitous Knowledge Discovery. Next Generation of Data Mining 2008 - [p2]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
- [j31]Blaise Hanczar, Jean-Daniel Zucker, Corneliu Henegar, Lorenza Saitta:
Feature construction from synergic pairs to improve microarray-based classification. Bioinform. 23(21): 2866-2872 (2007) - [c64]Ugo Galassi, Attilio Giordana, Lorenza Saitta:
Structured Hidden Markov Model: A General Framework for Modeling Complex Sequences. AI*IA 2007: 290-301 - [c63]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 - [c62]Ugo Galassi, Attilio Giordana, Lorenza Saitta:
Incremental Construction of Structured Hidden Markov Models. IJCAI 2007: 798-803 - [c61]Lorenza Saitta, Pietro Torasso, Gianluca Torta:
Formalizing the Abstraction Process in Model-Based Diagnosis. SARA 2007: 314-328 - [c60]Lorenza Saitta, Jean-Daniel Zucker:
Abstraction and Complexity Measures. SARA 2007: 375-390 - 2006
- [j30]Floriana Esposito, Attilio Giordana, Lorenza Saitta:
Machine Learning and Data Mining. Intelligenza Artificiale 3(1-2): 63-71 (2006) - [c59]Lorenza Saitta:
Hypothesis Diversity in Ensemble Classification. ISMIS 2006: 662-670 - 2005
- [c58]Attilio Giordana, Ugo Galassi, Lorenza Saitta:
Experimental Evaluation of Hierarchical Hidden Markov Models. AI*IA 2005: 249-257 - [c57]Roberto Esposito, Lorenza Saitta:
Experimental comparison between bagging and Monte Carlo ensemble classification. ICML 2005: 209-216 - [c56]Lorenza Saitta, Jean-Daniel Zucker, Sébastien Mustière:
An Abstraction-based Machine Learning Approach to Cartographic Generalisation. IICAI 2005: 621-638 - [c55]Ugo Galassi, Attilio Giordana, Lorenza Saitta, Marco Botta:
Learning Complex Event Descriptions by Abstraction. IJCAI 2005: 1600-1601 - [c54]Ugo Galassi, Attilio Giordana, Lorenza Saitta, Marco Botta:
Learning Profiles Based on Hierarchical Hidden Markov Model. ISMIS 2005: 47-55 - [e5]Jean-Daniel Zucker, Lorenza Saitta:
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 [contents] - 2004
- [c53]Roberto Esposito, Lorenza Saitta:
A Monte Carlo analysis of ensemble classification. ICML 2004 - [e4]Ramón 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, ISBN 1-58603-452-9 [contents] - 2003
- [j29]Marco Botta, Attilio Giordana, Lorenza Saitta, Michèle Sebag:
Relational Learning as Search in a Critical Region. J. Mach. Learn. Res. 4: 431-463 (2003) - [c52]Roberto Esposito, Lorenza Saitta:
Explaining Bagging with Monte Carlo Theory. AI*IA 2003: 189-200 - [c51]Attilio Giordana, Lorenza Saitta:
Transition de phase et apprentissage relationnel : une analyse critique. EGC 2003: 25-30 - [c50]Roberto Esposito, Lorenza Saitta:
Monte Carlo Theory as an Explanation of Bagging and Boosting. IJCAI 2003: 499-504 - 2002
- [c49]Roberto Esposito, Lorenza Saitta:
Is a Greedy Covering Strategy an Extreme Boosting? ISMIS 2002: 94-102 - [c48]Jean-Daniel Zucker, Nicolas Bredèche, Lorenza Saitta:
Abstracting Visual Percepts to Learn Concepts. SARA 2002: 256-273 - 2001
- [j28]Lorenza Saitta, Jean-Daniel Zucker:
A Model of Abstraction in Visual Perception. Appl. Artif. Intell. 15(8): 761-776 (2001) - [c47]Lorenza Saitta:
Integrated Architectures for Machine Learning. Machine Learning and Its Applications 2001: 218-229 - [c46]Roberto Esposito, Lorenza Saitta:
Boosting as a Monte Carlo Algorithm. AI*IA 2001: 11-19 - [c45]Alessandro Serra, Attilio Giordana, Lorenza Saitta:
Learning on the Phase Transition Edge. IJCAI 2001: 921-926 - 2000
- [j27]Floriana Esposito, Ryszard S. Michalski, Lorenza Saitta:
Guest Editors' Introduction. Mach. Learn. 38(1-2): 5-7 (2000) - [j26]Attilio Giordana, Lorenza Saitta:
Phase Transitions in Relational Learning. Mach. Learn. 41(2): 217-251 (2000) - [c44]Attilio Giordana, Lorenza Saitta, Michèle Sebag, Marco Botta:
Analyzing Relational Learning in the Phase Transition Framework. ICML 2000: 311-318 - [c43]Attilio Giordana, Lorenza Saitta, Michèle Sebag, Marco Botta:
Can Relational Learning Scale Up? ISMIS 2000: 31-39 - [c42]Lorenza Saitta, Jean-Daniel Zucker:
Perception-Based Granularity Levels in Concept Representation. ISMIS 2000: 409-416 - [c41]Sébastien Mustière, Lorenza Saitta, Jean-Daniel Zucker:
Abstraction in Cartographic Generalization. ISMIS 2000: 638-644 - [c40]Lorenza Saitta, Jean-Daniel Zucker:
Abstraction and Phase Transitions in Relational Learning. SARA 2000: 291-302
1990 – 1999
- 1999
- [c39]Marco Botta, Attilio Giordana, Lorenza Saitta, Michèle Sebag:
Relational Learning: Hard Problems and Phase Transitions. AI*IA 1999: 178-189 - [c38]Sébastien Mustière, Jean-Daniel Zucker, Lorenza Saitta:
Cartographic Generalization as a Combination of Representing and Abstracting Knowledge. ACM-GIS 1999: 162-164 - [c37]Attilio Giordana, Marco Botta, Lorenza Saitta:
An Experimental Study of Phase Transitions in Matching. IJCAI 1999: 1198-1203 - [c36]Attilio Giordana, Lorenza Saitta:
On-Line Estimation of Matching Complexity in First Order Logic. ISMIS 1999: 76-84 - 1998
- [j25]Lorenza Saitta, Filippo Neri:
Learning in the " Real World". Mach. Learn. 30(2-3): 133-163 (1998) - [c35]Cosimo Anglano, Attilio Giordana, Giuseppe Lo Bello, Lorenza Saitta:
Coevolutionary, Distributed Search for Inducing Concept Description. ECML 1998: 322-333 - [c34]Cosimo Anglano, Attilio Giordana, Giuseppe Lo Bello, Lorenza Saitta:
An Experimental Evaluation of Coevolutive Concept Learning. ICML 1998: 19-27 - 1997
- [j24]Attilio Giordana, Filippo Neri, Lorenza Saitta, Marco Botta:
Integrating Multiple Learning Strategies in First Order Logics. Mach. Learn. 27(3): 209-240 (1997) - [c33]Filippo Neri, Lorenza Saitta, Andrée Tiberghien:
Modelling Conceptual Change: An Interdisciplinary Approach. AI*IA 1997: 1-12 - [c32]Cosimo Anglano, Attilio Giordana, Giuseppe Lo Bello, Lorenza Saitta:
A Network Genetic Algorithm for Concept Learning. ICGA 1997: 434-441 - [c31]Lorenza Saitta, Filippo Neri, Andrée Tiberghien:
World Model Construction in Children during Physics Learning. ISMIS 1997: 127-136 - [c30]Attilio Giordana, Lorenza Saitta, Giuseppe Lo Bello:
A Coevolutionary Approach to Concept Learning. ISMIS 1997: 257-266 - [c29]Filippo Neri, Lorenza Saitta:
Machine Learning for Information Extraction. SCIE 1997: 171-191 - 1996
- [j23]Lorenza Saitta:
Representation Change in Machine Learning. AI Commun. 9(1): 14-20 (1996) - [j22]Filippo Neri, Lorenza Saitta:
An Analysis of the "Universal Suffrage" Selection Operator. Evol. Comput. 4(1): 87-107 (1996) - [j21]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) - [c28]Attilio Giordana, Filippo Neri, Lorenza Saitta:
A Fine-Grained Parallel Evolutionary Program for Concept Induction. ISMIS 1996: 168-177 - [e3]Lorenza Saitta:
Machine Learning, Proceedings of the Thirteenth International Conference (ICML '96), Bari, Italy, July 3-6, 1996. Morgan Kaufmann 1996, ISBN 1-55860-419-7 [contents] - 1995
- [c27]Filippo Neri, Lorenza Saitta:
Analysis of Genetic Algorithms Evolution under Pure Selection. ICGA 1995: 32-41 - 1994
- [c26]Attilio Giordana, Lorenza Saitta, Floriano Zini:
Learning Disjunctive Concept Definitions Using a Genetic Algorithm. ECAI 1994: 483-486 - [c25]Filippo Neri, Lorenza Saitta:
Knowledge Representation in Machine Learning. ECML 1994: 20-27 - [c24]Attilio Giordana, Lorenza Saitta, Floriano Zini:
Learning Disjunctive Concepts with Distributed Genetic Algorithms. International Conference on Evolutionary Computation 1994: 115-119 - [c23]Attilio Giordana, Lorenza Saitta, Floriano Zini:
Learning Disjunctive Concepts by Means of Genetic Algorithms. ICML 1994: 96-104 - [c22]Attilio Giordana, Filippo Neri, Lorenza Saitta:
Formal Models of Selection in Genetic Algorithms. ISMIS 1994: 124-133 - 1993
- [j20]Lorenza Saitta, Marco Botta, Filippo Neri:
Multistrategy Learning and Theory Revision. Mach. Learn. 11: 153-172 (1993) - [j19]Lorenza Saitta, Francesco Bergadano:
Pattern Recognition and Valiant's Learning Framework. IEEE Trans. Pattern Anal. Mach. Intell. 15(2): 145-155 (1993) - [j18]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) - [j17]Claudie Faure, Simonetta Frediani, Lorenza Saitta:
A semiautomated methodology for knowledge elicitation. IEEE Trans. Syst. Man Cybern. 23(2): 346-356 (1993) - [c21]Attilio Giordana, Lorenza Saitta, M. E. Campidoglio, Giuseppe Lo Bello:
Learning Relations Using Genetic Algorithms. AI*IA 1993: 218-229 - [c20]Attilio Giordana, Lorenza Saitta, Cristina Baroglio:
Learning Simple Recursive Theories. ISMIS 1993: 425-434 - 1992
- [j16]Marco Botta, Lorenza Saitta:
Use of Causal Models and Abduction in Learning Diagnostic Knowledge. Int. J. Man Mach. Stud. 36(2): 289-307 (1992) - [j15]Cristina Baroglio, Attilio Giordana, Lorenza Saitta:
Learning Mutually Dependent Relations. J. Intell. Inf. Syst. 1(2): 159-176 (1992) - [c19]Marco Botta, Attilio Giordana, Lorenza Saitta:
Comparison of Search Strategies in Learning Relations. ECAI 1992: 451-455 - 1991
- [b1]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 - [j14]Roberto Gemello, Franco Mana, Lorenza Saitta:
Rigel: An Inductive Learning System. Mach. Learn. 6: 7-35 (1991) - [c18]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 - [c17]Attilio Giordana, Lorenza Saitta, R. Finelli, M. Paderni, Davide Roverso:
Extending Inverse Resolution to Build Up Abstractions. AI*IA 1991: 238-247 - [c16]Attilio Giordana, Davide Roverso, Lorenza Saitta:
Abstracting Background Knowledge for Concept Learning. EWSL 1991: 1-13 - [c15]Lorenza Saitta:
Panel: Causality and Learning. EWSL 1991: 345 - [c14]Attilio Giordana, Lorenza Saitta, Davide Roverso:
Abstracting Concepts with Inverse Resolution. ML 1991: 142-146 - [c13]Marco Botta, S. Ravotto, Lorenza Saitta, S. B. Sperotto:
Improving Learning Using Causality and Abduction. ML 1991: 480-484 - [c12]Luca Console, Attilio Giordana, Lorenza Saitta:
Investigating the Relationships between Abduction and Inverse Resolution in Proposition Calculus. ISMIS 1991: 316-325 - [p1]Francesco Bergadano, Attilio Giordana, Lorenza Saitta, Filippo Brancadori, Davide De Marchi:
Integrated Learning in a Real Domain. Knowledge Discovery in Databases 1991: 277-288 - 1990
- [c11]Francesco Bergadano, Attilio Giordana, Lorenza Saitta:
Biasing Induction by Using a Domain Theory: An Experimental Evaluation. ECAI 1990: 84-89 - [c10]Francesco Bergadano, Attilio Giordana, Lorenza Saitta, Davide De Marchi, Filippo Brancadori:
Integrated Learning in a real Domain. ML 1990: 322-329 - [d1]Francesco Bergadano, Attilio Giordana, Lorenza Saitta:
Mechanical Analysis. UCI Machine Learning Repository, 1990
1980 – 1989
- 1989
- [j13]Leonardo Lesmo, Lorenza Saitta, Pietro Torasso:
Dealing with uncertain knowledge in medical decision-making: A case study in hepatology. Artif. Intell. Medicine 1(3): 105-116 (1989) - [j12]Francesco Bergadano, Attilio Giordana, Lorenza Saitta:
Knowledge representation and use in pattern analysis. Inf. Sci. 47(1): 1-16 (1989) - 1988
- [j11]Francesco Bergadano, Attilio Giordana, Lorenza Saitta:
Automated Concept Acquisition in Noisy Environments. IEEE Trans. Pattern Anal. Mach. Intell. 10(4): 555-578 (1988) - [c9]Francesco Bergadano, Attilio Giordana, Lorenza Saitta:
Concept Acquisition in an Integrated EBL and SBL Environment. ECAI 1988: 363-368 - [c8]Marco Botta, Lorenza Saitta:
Improving Knowledge-Based System Performance by Experience. EWSL 1988: 15-23 - [e2]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. Lecture Notes in Computer Science 313, Springer 1988, ISBN 3-540-19402-9 [contents] - [e1]Zbigniew W. Ras, Lorenza Saitta:
Methodologies for Intelligent Systems, 3, Proceedings of the Third International Symposium on Methodologies for Intelligent Systems, Turin, Italy, October 12-15, 1988. North-Holland/Elsevier 1988, ISBN 0-444-01461-6 [contents] - 1987
- [j10]Francesco Bergadano, Lorenza Saitta:
A General Framework for Knowledge-Based Pattern Recognition. Int. J. Pattern Recognit. Artif. Intell. 1(2): 189-206 (1987) - [c7]Francesco Bergadano, Attilio Giordana, Lorenza Saitta:
Integrating EBL and SBL Approaches to Knowledge Base Refinement. ISMIS 1987: 309-316 - 1986
- [j9]Attilio Giordana, Lorenza Saitta, Pietro Laface:
Discrimination of Words in a Large Vocabulary Using Phonetic Descriptions. Int. J. Man Mach. Stud. 24(5): 453-473 (1986) - [c6]Simonetta Frediani, Lorenza Saitta:
Knowledge base organization in expert systems. IPMU 1986: 217-224 - [c5]Simonetta Frediani, Lorenza Saitta:
Knowledge base organization in expert systems. ISMIS 1986: 19-27 - 1985
- [j8]Leonardo Lesmo, Lorenza Saitta, Pietro Torasso:
Evidence Combination in Expert Systems. Int. J. Man Mach. Stud. 22(3): 307-326 (1985) - [j7]Attilio Giordana, Lorenza Saitta:
Modelling Production Systems by means of Predicate-Transitions Networks. Inf. Sci. 35(1): 1-41 (1985) - [j6]Attilio Giordana, Lorenza Saitta:
An expert system oriented to complex pattern recognition problems. Inf. Sci. 36(1-2): 157-177 (1985) - [j5]Attilio Giordana, Lorenza Saitta:
A non-left-to-right, non-directional parser for ambiguous lattices. Pattern Recognit. Lett. 3(2): 105-111 (1985) - 1984
- [j4]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
- [j3]Lorenza Saitta:
Experiments in Evidence Composition in a Speech Understanding System. Int. J. Man Mach. Stud. 19(1): 19-31 (1983) - 1982
- [c4]Renato de Mori, Attilio Giordana, Lorenza Saitta, Pietro Laface:
An Expert System for Interpreting Speech Patterns. AAAI 1982: 107-110 - [c3]Renato de Mori, Attilio Giordana, Pietro Laface, Lorenza Saitta:
An Expert System for Speech Decoding. ECAI 1982: 127-132 - 1980
- [j2]Renato de Mori, Lorenza Saitta:
Automatic learning of fuzzy naming relations over finite languages. Inf. Sci. 21(2): 93-139 (1980)
1970 – 1979
- 1979
- [j1]Mariangiola Dezani-Ciancaglini, Simona Ronchi Della Rocca, Lorenza Saitta:
Complexity of lambda-term reductions. RAIRO Theor. Informatics Appl. 13(3): 257-287 (1979) - [c2]Renato de Mori, Lorenza Saitta:
Scheduling of Processes in a Speech Understanding System Based on Approximate Reasoning. IJCAI 1979: 204-207 - 1978
- [c1]Lorenza Saitta:
Fuzzy semantic network for a speech understanding system - an experimental study. ICASSP 1978: 433-436
Coauthor Index
[c73] [p2] [c64] [c63] [c62] [j30] [c58] [c55] [c54] [j29] [c51] [c45] [j26] [c44] [c43] [c39] [c37] [c36] [c35] [c34] [j24] [c32] [c30] [c28] [c26] [c24] [c23] [c22] [j18] [c21] [c20] [j15] [c19] [b1] [c17] [c16] [c14] [c12] [p1] [c11] [c10] [d1] [j12] [j11] [c9] [c7] [j9] [j7] [j6] [j5] [j4] [c4] [c3]
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