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- Lorenza Saitta
University of Turin, Italy
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Publication search results
found 125 matches
- 2018
- Lorenza Saitta:
Piero Torasso's early contributions. Intelligenza Artificiale 12(1): 19-22 (2018) - 2017
- Lorenza Saitta, Michèle Sebag:
Grammatical Inference. Encyclopedia of Machine Learning and Data Mining 2017: 569-570 - Lorenza Saitta, Michèle Sebag:
Phase Transitions in Machine Learning. Encyclopedia of Machine Learning and Data Mining 2017: 974-982 - 2014
- Lorenza Saitta:
Classification: From expert to ensemble to crowd. Intelligenza Artificiale 8(1): 3-22 (2014) - 2013
- 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) - Lorenza Saitta:
Abstraction in Markov Networks. AI*IA 2013: 145-156 - Andrea Moio, Lorenza Saitta, Attilio Giordana:
A motion detection system for video surveillance. AIIP/Semantic Cities@IJCAI 2013: 17-22 - Lorenza Saitta:
Abstraction: A Historical and Interdisciplinary Perspective. SARA 2013 - 2011
- Lorenza Saitta:
Phase Transitions: A New Paradigm for Evaluating Complexity in Learning and other Complex Systems. IICAI 2011: 2 - Lorenza Saitta:
Abstract Graphical Models for Approximate Inference. IICAI 2011: 473-487 - 2010
- Lorenza Saitta, Christel Vrain, Zhaohui Wu, Lu Jiang, Qinghua Zheng, Jun Liu:
Abstracting Markov Networks. Abstraction, Reformulation, and Approximation 2010 - Michael May, Lorenza Saitta:
Introduction: The Challenge of Ubiquitous Knowledge Discovery. Ubiquitous Knowledge Discovery 2010: 3-18 - 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 - 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] - 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 - 2009
- 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 - 2008
- 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 - 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 - 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
- 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) - 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 - 2006
- 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
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