Fuzzy semantic network for a speech understanding system - an experimental study. - Lorenza Saitta (ICASSP, 1978)

Scheduling of Processes in a Speech Understanding System Based on Approximate Reasoning. - Renato de Mori; Lorenza Saitta (IJCAI, 1979)

Complexity of lambda-term reductions. - Mariangiola Dezani-Ciancaglini; Simona Ronchi Della Rocca; Lorenza Saitta (RAIRO Theor. Informatics Appl., 1979)

Automatic learning of fuzzy naming relations over finite languages. - Renato de Mori; Lorenza Saitta (Inf. Sci., 1980)

An Expert System for Interpreting Speech Patterns. - Renato de Mori; Attilio Giordana; Lorenza Saitta; Pietro Laface (AAAI, 1982)

An Expert System for Speech Decoding. - Renato de Mori; Attilio Giordana; Pietro Laface; Lorenza Saitta (ECAI, 1982)

Experiments in Evidence Composition in a Speech Understanding System. - Lorenza Saitta (Int. J. Man Mach. Stud., 1983)

An expert system for mapping acoustic cues into phonetic features. - Renato de Mori; Attilio Giordana; Pietro Laface; Lorenza Saitta (Inf. Sci., 1984)

Evidence Combination in Expert Systems. - Leonardo Lesmo; Lorenza Saitta; Pietro Torasso (Int. J. Man Mach. Stud., 1985)

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

An expert system oriented to complex pattern recognition problems. - Attilio Giordana; Lorenza Saitta (Inf. Sci., 1985)

A non-left-to-right, non-directional parser for ambiguous lattices. - Attilio Giordana; Lorenza Saitta (Pattern Recognit. Lett., 1985)

Knowledge base organization in expert systems. - Simonetta Frediani; Lorenza Saitta (ISMIS, 1986)

Discrimination of Words in a Large Vocabulary Using Phonetic Descriptions. - Attilio Giordana; Lorenza Saitta; Pietro Laface (Int. J. Man Mach. Stud., 1986)

Integrating EBL and SBL Approaches to Knowledge Base Refinement. - Francesco Bergadano; Attilio Giordana; Lorenza Saitta (ISMIS, 1987)

A General Framework for Knowledge-Based Pattern Recognition. - Francesco Bergadano; Lorenza Saitta (Int. J. Pattern Recognit. Artif. Intell., 1987)

Concept Acquisition in an Integrated EBL and SBL Environment. - Francesco Bergadano; Attilio Giordana; Lorenza Saitta (ECAI, 1988)

Improving Knowledge-Based System Performance by Experience. - Marco Botta; Lorenza Saitta (EWSL, 1988)

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

Dealing with uncertain knowledge in medical decision-making: A case study in hepatology. - Leonardo Lesmo; Lorenza Saitta; Pietro Torasso (Artif. Intell. Medicine, 1989)

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

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

Integrated Learning in a real Domain. - Francesco Bergadano; Attilio Giordana; Lorenza Saitta; Davide De Marchi; Filippo Brancadori (ML, 1990)

Mechanical Analysis. - Francesco Bergadano; Attilio Giordana; Lorenza Saitta (UCI Machine Learning Repository, 1990)

Machine learning - an integrated framework and its applications. - Francesco Bergadano; Attilio Giordana; Lorenza Saitta (Ellis Horwood, 1991)

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

Use of a Causal Model to Learn Diagnostic Knowledge in a Real Domain. - Marco Botta; Filippo Brancadori; S. Ravotto; Lorenza Saitta; S. B. Sperotto (AI*IA, 1991)

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

Abstracting Background Knowledge for Concept Learning. - Attilio Giordana; Davide Roverso; Lorenza Saitta (EWSL, 1991)

Panel: Causality and Learning. - Lorenza Saitta (EWSL, 1991)

Improving Learning Using Causality and Abduction. - Marco Botta; S. Ravotto; Lorenza Saitta; S. B. Sperotto (ML, 1991)

Abstracting Concepts with Inverse Resolution. - Attilio Giordana; Lorenza Saitta; Davide Roverso (ML, 1991)

Investigating the Relationships between Abduction and Inverse Resolution in Proposition Calculus. - Luca Console; Attilio Giordana; Lorenza Saitta (ISMIS, 1991)

Rigel: An Inductive Learning System. - Roberto Gemello; Franco Mana; Lorenza Saitta (Mach. Learn., 1991)

Comparison of Search Strategies in Learning Relations. - Marco Botta; Attilio Giordana; Lorenza Saitta (ECAI, 1992)

Use of Causal Models and Abduction in Learning Diagnostic Knowledge. - Marco Botta; Lorenza Saitta (Int. J. Man Mach. Stud., 1992)

Learning Mutually Dependent Relations. - Cristina Baroglio; Attilio Giordana; Lorenza Saitta (J. Intell. Inf. Syst., 1992)

Learning Relations Using Genetic Algorithms. - Attilio Giordana; Lorenza Saitta; M. E. Campidoglio; Giuseppe Lo Bello (AI*IA, 1993)

Learning Simple Recursive Theories. - Attilio Giordana; Lorenza Saitta; Cristina Baroglio (ISMIS, 1993)

Multistrategy Learning and Theory Revision. - Lorenza Saitta; Marco Botta; Filippo Neri (Mach. Learn., 1993)

Pattern Recognition and Valiant's Learning Framework. - Lorenza Saitta; Francesco Bergadano (IEEE Trans. Pattern Anal. Mach. Intell., 1993)

ENIGMA: A System That Learns Diagnostic Knowledge. - Attilio Giordana; Lorenza Saitta; Francesco Bergadano; Filippo Brancadori; Davide De Marchi (IEEE Trans. Knowl. Data Eng., 1993)

A semiautomated methodology for knowledge elicitation. - Claudie Faure; Simonetta Frediani; Lorenza Saitta (IEEE Trans. Syst. Man Cybern., 1993)

Learning Disjunctive Concept Definitions Using a Genetic Algorithm. - Attilio Giordana; Lorenza Saitta; Floriano Zini (ECAI, 1994)

Knowledge Representation in Machine Learning. - Filippo Neri; Lorenza Saitta (ECML, 1994)

Learning Disjunctive Concepts with Distributed Genetic Algorithms. - Attilio Giordana; Lorenza Saitta; Floriano Zini (International Conference on Evolutionary Computation, 1994)

Learning Disjunctive Concepts by Means of Genetic Algorithms. - Attilio Giordana; Lorenza Saitta; Floriano Zini (ICML, 1994)

Formal Models of Selection in Genetic Algorithms. - Attilio Giordana; Filippo Neri; Lorenza Saitta (ISMIS, 1994)

Analysis of Genetic Algorithms Evolution under Pure Selection. - Filippo Neri; Lorenza Saitta (ICGA, 1995)

A Fine-Grained Parallel Evolutionary Program for Concept Induction. - Attilio Giordana; Filippo Neri; Lorenza Saitta (ISMIS, 1996)

Representation Change in Machine Learning. - Lorenza Saitta (AI Commun., 1996)

An Analysis of the "Universal Suffrage" Selection Operator. - Filippo Neri; Lorenza Saitta (Evol. Comput., 1996)

Exploring the Power of Genetic Search in Learning Symbolic Classifiers. - Filippo Neri; Lorenza Saitta (IEEE Trans. Pattern Anal. Mach. Intell., 1996)

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

A Network Genetic Algorithm for Concept Learning. - Cosimo Anglano; Attilio Giordana; Giuseppe Lo Bello; Lorenza Saitta (ICGA, 1997)

A Coevolutionary Approach to Concept Learning. - Attilio Giordana; Lorenza Saitta; Giuseppe Lo Bello (ISMIS, 1997)

World Model Construction in Children during Physics Learning. - Lorenza Saitta; Filippo Neri; Andrée Tiberghien (ISMIS, 1997)

Machine Learning for Information Extraction. - Filippo Neri; Lorenza Saitta (SCIE, 1997)

Integrating Multiple Learning Strategies in First Order Logics. - Attilio Giordana; Filippo Neri; Lorenza Saitta; Marco Botta (Mach. Learn., 1997)

Coevolutionary, Distributed Search for Inducing Concept Description. - Cosimo Anglano; Attilio Giordana; Giuseppe Lo Bello; Lorenza Saitta (ECML, 1998)

An Experimental Evaluation of Coevolutive Concept Learning. - Cosimo Anglano; Attilio Giordana; Giuseppe Lo Bello; Lorenza Saitta (ICML, 1998)

Learning in the " Real World". - Lorenza Saitta; Filippo Neri (Mach. Learn., 1998)

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

Cartographic Generalization as a Combination of Representing and Abstracting Knowledge. - Sébastien Mustière; Jean-Daniel Zucker; Lorenza Saitta (ACM-GIS, 1999)

An Experimental Study of Phase Transitions in Matching. - Attilio Giordana; Marco Botta; Lorenza Saitta (IJCAI, 1999)

On-Line Estimation of Matching Complexity in First Order Logic. - Attilio Giordana; Lorenza Saitta (ISMIS, 1999)

Analyzing Relational Learning in the Phase Transition Framework. - Attilio Giordana; Lorenza Saitta; Michèle Sebag; Marco Botta (ICML, 2000)

Can Relational Learning Scale Up? - Attilio Giordana; Lorenza Saitta; Michèle Sebag; Marco Botta (ISMIS, 2000)

Abstraction in Cartographic Generalization. - Sébastien Mustière; Lorenza Saitta; Jean-Daniel Zucker (ISMIS, 2000)

Perception-Based Granularity Levels in Concept Representation. - Lorenza Saitta; Jean-Daniel Zucker (ISMIS, 2000)

Abstraction and Phase Transitions in Relational Learning. - Lorenza Saitta; Jean-Daniel Zucker (SARA, 2000)

Guest Editors' Introduction. - Floriana Esposito; Ryszard S. Michalski; Lorenza Saitta (Mach. Learn., 2000)

Phase Transitions in Relational Learning. - Attilio Giordana; Lorenza Saitta (Mach. Learn., 2000)

Integrated Architectures for Machine Learning. - Lorenza Saitta (Machine Learning and Its Applications, 2001)

Boosting as a Monte Carlo Algorithm. - Roberto Esposito; Lorenza Saitta (AI*IA, 2001)

Learning on the Phase Transition Edge. - Alessandro Serra; Attilio Giordana; Lorenza Saitta (IJCAI, 2001)

A Model of Abstraction in Visual Perception. - Lorenza Saitta; Jean-Daniel Zucker (Appl. Artif. Intell., 2001)

Is a Greedy Covering Strategy an Extreme Boosting? - Roberto Esposito; Lorenza Saitta (ISMIS, 2002)

Abstracting Visual Percepts to Learn Concepts. - Jean-Daniel Zucker; Nicolas Bredèche; Lorenza Saitta (SARA, 2002)

Explaining Bagging with Monte Carlo Theory. - Roberto Esposito; Lorenza Saitta (AI*IA, 2003)

Transition de phase et apprentissage relationnel : une analyse critique. - Attilio Giordana; Lorenza Saitta (EGC, 2003)

Monte Carlo Theory as an Explanation of Bagging and Boosting. - Roberto Esposito; Lorenza Saitta (IJCAI, 2003)

Relational Learning as Search in a Critical Region. - Marco Botta; Attilio Giordana; Lorenza Saitta; Michèle Sebag (J. Mach. Learn. Res., 2003)

A Monte Carlo analysis of ensemble classification. - Roberto Esposito; Lorenza Saitta (ICML, 2004)

Experimental Evaluation of Hierarchical Hidden Markov Models. - Attilio Giordana; Ugo Galassi; Lorenza Saitta (AI*IA, 2005)

Experimental comparison between bagging and Monte Carlo ensemble classification. - Roberto Esposito; Lorenza Saitta (ICML, 2005)

An Abstraction-based Machine Learning Approach to Cartographic Generalisation. - Lorenza Saitta; Jean-Daniel Zucker; Sébastien Mustière (IICAI, 2005)

Learning Complex Event Descriptions by Abstraction. - Ugo Galassi; Attilio Giordana; Lorenza Saitta; Marco Botta (IJCAI, 2005)

Learning Profiles Based on Hierarchical Hidden Markov Model. - Ugo Galassi; Attilio Giordana; Lorenza Saitta; Marco Botta (ISMIS, 2005)

Hypothesis Diversity in Ensemble Classification. - Lorenza Saitta (ISMIS, 2006)

Machine Learning and Data Mining. - Floriana Esposito; Attilio Giordana; Lorenza Saitta (Intelligenza Artificiale, 2006)

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

Modeling Temporal Behavior via Structured Hidden Markov Models: an Application to Keystroking Dynamics. - Ugo Galassi; Attilio Giordana; Charbel Julien; Lorenza Saitta (IICAI, 2007)

Incremental Construction of Structured Hidden Markov Models. - Ugo Galassi; Attilio Giordana; Lorenza Saitta (IJCAI, 2007)

Formalizing the Abstraction Process in Model-Based Diagnosis. - Lorenza Saitta; Pietro Torasso; Gianluca Torta (SARA, 2007)

Abstraction and Complexity Measures. - Lorenza Saitta; Jean-Daniel Zucker (SARA, 2007)

Feature construction from synergic pairs to improve microarray-based classification. - Blaise Hanczar; Jean-Daniel Zucker; Corneliu Henegar; Lorenza Saitta (Bioinform., 2007)

Research Challenges in Ubiquitous Knowledge Discovery. - Michael May 001; Bettina Berendt; Antoine Cornuéjols; João Gama 001; Fosca Giannotti; Andreas Hotho; Donato Malerba; Ernestina Menasalvas; Katharina Morik; Rasmus Ulslev Pedersen; Lorenza Saitta; Yücel Saygin; et al. (Next Generation of Data Mining, 2008)

A Comparison between Two Statistical Relational Models. - Lorenza Saitta; Christel Vrain (ILP, 2008)

Image Databases Browsing by Unsupervised Learning. - Charbel Julien; Lorenza Saitta (ISMIS, 2008)

Structured Hidden Markov Models: A General Tool for Modeling Agent Behaviors. - Ugo Galassi; Attilio Giordana; Lorenza Saitta (Soft Computing Applications in Business, 2008)

Statistical Characterization of a Computer Grid. - Lovro Ilijasic; Lorenza Saitta (ISMIS, 2009)

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

Abstracting Markov Networks. - Lorenza Saitta; Christel Vrain; Zhaohui Wu 003; Lu Jiang 001; Qinghua Zheng; Jun Liu 002 (Abstraction, Reformulation, and Approximation, 2010)

Grammatical Inference. - Lorenza Saitta; Michèle Sebag (Encyclopedia of Machine Learning, 2010)

Phase Transitions in Machine Learning. - Lorenza Saitta; Michèle Sebag (Encyclopedia of Machine Learning, 2010)

Introduction: The Challenge of Ubiquitous Knowledge Discovery. - Michael May 001; Lorenza Saitta (Ubiquitous Knowledge Discovery, 2010)

Structured Hidden Markov Model versus String Kernel Machines for Symbolic Sequence Classification. - Ugo Galassi; Marco Botta; Lorenza Saitta (Advances in Machine Learning I, 2010)

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

Abstract Graphical Models for Approximate Inference. - Lorenza Saitta (IICAI, 2011)

Abstraction in Markov Networks. - Lorenza Saitta (AI*IA, 2013)

A motion detection system for video surveillance. - Andrea Moio; Lorenza Saitta; Attilio Giordana (AIIP/Semantic Cities@IJCAI, 2013)

Abstraction: A Historical and Interdisciplinary Perspective. - Lorenza Saitta (SARA, 2013)

Italian Machine Learning and Data Mining research: The last years. - 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; et al. (Intelligenza Artificiale, 2013)

Classification: From expert to ensemble to crowd. - Lorenza Saitta (Intelligenza Artificiale, 2014)

Grammatical Inference. - Lorenza Saitta; Michèle Sebag (Encyclopedia of Machine Learning and Data Mining, 2017)

Phase Transitions in Machine Learning. - Lorenza Saitta; Michèle Sebag (Encyclopedia of Machine Learning and Data Mining, 2017)

Piero Torasso's early contributions. - Lorenza Saitta (Intelligenza Artificiale, 2018)