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Lorenza 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
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