Nicola Di Mauro

120 papers A* 6A 6B 3C 17Misc 1Journal 28Unranked 54

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	How to Turn Your Knowledge Graph Embeddings into Generative Models via Probabilistic Circuits. CoRR Lorenzo Loconte, Nicola Di Mauro, Robert Peharz, Antonio Vergari
2023	A*	`conf`	How to Turn Your Knowledge Graph Embeddings into Generative Models. NeurIPS Lorenzo Loconte, Nicola Di Mauro, Robert Peharz, Antonio Vergari
2022	—	`conf`	Argumentation Ranking Semantics as a Feature for Classification - On Automatic Evaluation of Argumentative Essays. AI³@AI*IA Roberto Barile, Claudia d'Amato, Nicola Di Mauro, Stefano Ferilli, Nunzia Lomonte
2021	A	`conf`	Random probabilistic circuits. UAI Nicola Di Mauro, Gennaro Gala, Marco Iannotta, Teresa M. A. Basile
2020	J	`jnl`	Multi-Channel Deep Feature Learning for Intrusion Detection. IEEE Access Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba
2019	—	`conf`	Activity Prediction of Business Process Instances with Inception CNN Models. AI*IA Nicola Di Mauro, Annalisa Appice, Teresa M. A. Basile
2019	—	`conf`	Empowering Change Vector Analysis with Autoencoding in Bi-temporal Hyperspectral Images. MACLEAN@PKDD/ECML Annalisa Appice, Nicola Di Mauro, Francesco Lomuscio, Donato Malerba
2019	J	`jnl`	Ensembles of density estimators for positive-unlabeled learning. J. Intell. Inf. Syst. Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito, Stefano Ferilli, Antonio Vergari
2019	—	`conf`	Exploiting the Auto-Encoder Residual Error for Intrusion Detection. EuroS&P Workshops Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba
2019	—	`conf`	Leveraging Shallow Machine Learning to Predict Business Process Behavior. SCC Annalisa Appice, Nicola Di Mauro, Donato Malerba
2019	J	`jnl`	SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks. CoRR Alejandro Molina, Antonio Vergari, Karl Stelzner, Robert Peharz, Pranav Subramani, Nicola Di Mauro, Pascal Poupart, Kristian Kersting
2019	J	`jnl`	Visualizing and understanding Sum-Product Networks. Mach. Learn. Antonio Vergari, Nicola Di Mauro, Floriana Esposito
2018	—	`conf`	Extremely Randomized CNets for Multi-label Classification. AI*IA Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito
2018	A*	`conf`	Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains. AAAI Alejandro Molina, Antonio Vergari, Nicola Di Mauro, Sriraam Natarajan, Floriana Esposito, Kristian Kersting
2018	A*	`conf`	Sum-Product Autoencoding: Encoding and Decoding Representations Using Sum-Product Networks. AAAI Antonio Vergari, Robert Peharz, Nicola Di Mauro, Alejandro Molina, Kristian Kersting, Floriana Esposito
2018	J	`jnl`	Sum-Product Network structure learning by efficient product nodes discovery. Intelligenza Artificiale Nicola Di Mauro, Floriana Esposito, Fabrizio Giuseppe Ventola, Antonio Vergari
2018	C	`conf`	Unsupervised LSTMs-based Learning for Anomaly Detection in Highway Traffic Data. ISMIS Nicola Di Mauro, Stefano Ferilli
2017	—	`conf`	Alternative Variable Splitting Methods to Learn Sum-Product Networks. AI*IA Nicola Di Mauro, Floriana Esposito, Fabrizio Giuseppe Ventola, Antonio Vergari
2017	—	`conf`	Density Estimators for Positive-Unlabeled Learning. NFMCP@PKDD/ECML Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito, Stefano Ferilli, Antonio Vergari
2017	—	`conf`	Encoding and Decoding Representations with Sum- and Max-Product Networks. ICLR (Workshop) Antonio Vergari, Robert Peharz, Nicola Di Mauro, Floriana Esposito
2017	—	`conf`	End-to-end Learning of Deep Spatio-temporal Representations for Satellite Image Time Series Classification. DC@PKDD/ECML Nicola Di Mauro, Antonio Vergari, Teresa Maria Altomare Basile, Fabrizio Giuseppe Ventola, Floriana Esposito
2017	—	`conf`	Fast and Accurate Density Estimation with Extremely Randomized Cutset Networks. ECML/PKDD (1) Nicola Di Mauro, Antonio Vergari, Teresa Maria Altomare Basile, Floriana Esposito
2017	J	`jnl`	Sum-Product Networks for Hybrid Domains. CoRR Alejandro Molina, Antonio Vergari, Nicola Di Mauro, Sriraam Natarajan, Floriana Esposito, Kristian Kersting
2016	—	`conf`	Multi-Label Classification with Cutset Networks. Probabilistic Graphical Models Nicola Di Mauro, Antonio Vergari, Floriana Esposito
2016	J	`jnl`	Towards Representation Learning with Tractable Probabilistic Models. CoRR Antonio Vergari, Nicola Di Mauro, Floriana Esposito
2016	J	`jnl`	Visualizing and Understanding Sum-Product Networks. CoRR Antonio Vergari, Nicola Di Mauro, Floriana Esposito
2015	J	`jnl`	Bandit-based Monte-Carlo structure learning of probabilistic logic programs. Mach. Learn. Nicola Di Mauro, Elena Bellodi, Fabrizio Riguzzi
2015	—	`conf`	Learning Accurate Cutset Networks by Exploiting Decomposability. AI*IA Nicola Di Mauro, Antonio Vergari, Floriana Esposito
2015	C	`conf`	Learning Bayesian Random Cutset Forests. ISMIS Nicola Di Mauro, Antonio Vergari, Teresa Maria Altomare Basile
2015	—	`conf`	Simplifying, Regularizing and Strengthening Sum-Product Network Structure Learning. ECML/PKDD (2) Antonio Vergari, Nicola Di Mauro, Floriana Esposito
2014	—	`conf`	Assessing Document Relevance by Modeling Citation Networks with Probabilistic Graphs. IRCDL Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito
2014	J	`jnl`	Grasp and Path-Relinking for Coalition Structure Generation. Fundam. Informaticae Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito
2014	J	`jnl`	Link classification with probabilistic graphs. J. Intell. Inf. Syst. Nicola Di Mauro, Claudio Taranto, Floriana Esposito
2013	J	`jnl`	Ensemble Relational Learning based on Selective Propositionalization. CoRR Nicola Di Mauro, Floriana Esposito
2013	A	`conf`	Finding Critical Cells in Web Tables with SRL: Trying to Uncover the Devil's Tease. ICDAR Nicola Di Mauro, Floriana Esposito, Stefano Ferilli
2013	J	`jnl`	Italian Machine Learning and Data Mining research: The last years. Intelligenza Artificiale 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
2012	J	`jnl`	Applying the information bottleneck to statistical relational learning. Mach. Learn. Fabrizio Riguzzi, Nicola Di Mauro
2012	J	`jnl`	Language-Constraint Reachability Learning in Probabilistic Graphs CoRR Claudio Taranto, Nicola Di Mauro, Floriana Esposito
2012	—	`conf`	Learning in Probabilistic Graphs Exploiting Language-Constrained Patterns. NFMCP Claudio Taranto, Nicola Di Mauro, Floriana Esposito
2012	—	`conf`	Learning to Recognize Critical Cells in Document Tables. IRCDL Nicola Di Mauro, Stefano Ferilli, Floriana Esposito
2012	J	`jnl`	Social networks and statistical relational learning: a survey. Int. J. Soc. Netw. Min. Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro
2012	—	`conf`	Uncertain (Multi)Graphs for Personalization Services in Digital Libraries. IRCDL Claudio Taranto, Nicola Di Mauro, Floriana Esposito
2012	—	`conf`	Uncertain Graphs meet Collaborative Filtering. IIR Claudio Taranto, Nicola Di Mauro, Floriana Esposito
2011	—	`ch.`	A Relational Approach to Sensor Network Data Mining. Information Retrieval and Mining in Distributed Environments Floriana Esposito, Teresa Maria Altomare Basile, Nicola Di Mauro, Stefano Ferilli
2011	C	`conf`	A Taxonomic Generalization Technique for Natural Language Processing. ISMIS Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile, Floriana Esposito
2011	—	`ch.`	Automatic Document Layout Analysis through Relational Machine Learning. Learning Structure and Schemas from Documents Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito
2011	—	`conf`	Computational Models Enhancing Semantic Access to Digital Repositories. IRCDL Floriana Esposito, Nicola Di Mauro, Claudio Taranto, Stefano Ferilli
2011	—	`conf`	DDTA - Digitalisation of Districts in the Textile and Clothing Sector. IRCDL Floriana Esposito, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile, Marenglen Biba
2011	J	`jnl`	GRASP and path-relinking for Coalition Structure Generation CoRR Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito
2011	—	`conf`	Markov Logic Networks for Document Layout Correction. IEA/AIE (1) Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro
2011	C	`conf`	Optimizing Probabilistic Models for Relational Sequence Learning. ISMIS Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito
2011	—	`conf`	Plugging Numeric Similarity in First-Order Logic Horn Clauses Comparison. AI*IA Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito
2011	—	`conf`	Probabilistic Inference over Image Networks. IRCDL Claudio Taranto, Nicola Di Mauro, Floriana Esposito
2011	—	`conf`	mLynx: Relational Mutual Information. ILP (Late Breaking Papers) Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito
2011	—	`conf`	rsLDA: A Bayesian hierarchical model for relational learning. ICDKE Claudio Taranto, Nicola Di Mauro, Floriana Esposito
2010	—	`ch.`	Approximate Relational Reasoning by Stochastic Propositionalization. Advances in Intelligent Information Systems Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito
2010	A*	`conf`	Approximate image color correlograms. ACM Multimedia Claudio Taranto, Nicola Di Mauro, Stefano Ferilli, Floriana Esposito
2010	—	`conf`	Classifying Agent Behaviour through Relational Sequential Patterns. KES-AMSTA (1) Grazia Bombini, Nicola Di Mauro, Stefano Ferilli, Floriana Esposito
2010	Misc	`conf`	Coalition Structure Generation with GRASP. AIMSA Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito
2010	J	`jnl`	Feature Construction for Relational Sequence Learning CoRR Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito
2010	J	`jnl`	GRASP for the Coalition Structure Formation Problem CoRR Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito
2010	—	`conf`	Merging Structural and Taxonomic Similarity for Text Retrieval Using Relational Descriptions. IRCDL Stefano Ferilli, Marenglen Biba, Nicola Di Mauro, Teresa Maria Altomare Basile, Floriana Esposito
2010	—	`conf`	Relational Sequence based Classification in Multi-agent Systems. ICAART (1) Grazia Bombini, Nicola Di Mauro, Stefano Ferilli, Floriana Esposito
2009	J	`jnl`	A General Similarity Framework for Horn Clause Logic. Fundam. Informaticae Stefano Ferilli, Teresa Maria Altomare Basile, Marenglen Biba, Nicola Di Mauro, Floriana Esposito
2009	—	`conf`	A Logic Programming Framework for Learning by Imitation. ICEIS (2) Grazia Bombini, Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito
2009	—	`conf`	Plugging Taxonomic Similarity in First-Order Logic Horn Clauses Comparison. AI*IA Stefano Ferilli, Marenglen Biba, Nicola Di Mauro, Teresa Maria Altomare Basile, Floriana Esposito
2009	—	`conf`	Relational Learning by Imitation. KES-AMSTA Grazia Bombini, Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito
2009	C	`conf`	Relational Sequence Clustering for Aggregating Similar Agents. ISMIS Grazia Bombini, Nicola Di Mauro, Stefano Ferilli, Floriana Esposito
2009	—	`conf`	Relational Temporal Data Mining for Wireless Sensor Networks. AI*IA Teresa Maria Altomare Basile, Nicola Di Mauro, Stefano Ferilli, Floriana Esposito
2008	—	`conf`	Approximate Reasoning for Efficient Anytime Induction from Relational Knowledge Bases. SUM Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito
2008	—	`ch.`	Machine Learning for Digital Document Processing: from Layout Analysis to Metadata Extraction. Machine Learning in Document Analysis and Recognition Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro
2008	J	`jnl`	Multi-Dimensional Relational Sequence Mining. Fundam. Informaticae Floriana Esposito, Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli
2008	C	`conf`	Stochastic Propositionalization for Efficient Multi-relational Learning. ISMIS Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito
2008	—	`conf`	k-Nearest Neighbor Classification on First-Order Logic Descriptions. ICDM Workshops Stefano Ferilli, Marenglen Biba, Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito
2007	—	`conf`	A Fast Partial Memory Approach to Incremental Learning through an Advanced Data Storage Framework. SEBD Marenglen Biba, Stefano Ferilli, Floriana Esposito, Nicola Di Mauro, Teresa Maria Altomare Basile
2007	—	`conf`	A Hybrid Symbolic-Statistical Approach to Modeling Metabolic Networks. KES (1) Marenglen Biba, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile
2007	—	`conf`	Generalization-Based Similarity for Conceptual Clustering. MCD Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro, Marenglen Biba, Floriana Esposito
2007	A	`conf`	Incremental Learning of First Order Logic Theories for the Automatic Annotations of Web Documents. ICDAR Floriana Esposito, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile
2007	J	`jnl`	Inference of abduction theories for handling incompleteness in first-order learning. Knowl. Inf. Syst. Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro
2007	—	`conf`	Mining Time-series Sequences of Reactions for Biologically Active Patterns in Metabolic Pathways. SEBD Marenglen Biba, Floriana Esposito, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile
2007	—	`conf`	Multi-class Protein Fold Recognition Through a Symbolic-Statistical Framework. WILF Marenglen Biba, Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro
2007	—	`conf`	Similarity-Guided Clause Generalization. AI*IA Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro, Marenglen Biba, Floriana Esposito
2007	A*	`conf`	Unsupervised Discretization Using Kernel Density Estimation. IJCAI Marenglen Biba, Floriana Esposito, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile
2006	—	`conf`	Automatic Content-based Indexing of Digital Documents through Intelligent Processing Techniques. DIAL Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro
2006	C	`conf`	Automatic Topics Identification for Reviewer Assignment. IEA/AIE Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile, Floriana Esposito, Marenglen Biba
2006	C	`conf`	Intelligent Methodologies for Scientific Conference Management. ISMIS Marenglen Biba, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile
2006	J	`jnl`	Multistrategy Operators for Relational Learning and Their Cooperation. Fundam. Informaticae Floriana Esposito, Nicola Fanizzi, Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro
2006	J	`jnl`	Text learning for user profiling in e-commerce. Int. J. Syst. Sci. Marco Degemmis, Pasquale Lops, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile, Giovanni Semeraro
2006	—	`conf`	Towards Automatic Digital Library Content-based Management. IRCDL Floriana Esposito, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile
2006	C	`conf`	Tractable Feature Generation Through Description Logics with Value and Number Restrictions. IEA/AIE Nicola Fanizzi, Luigi Iannone, Nicola Di Mauro, Floriana Esposito
2005	B	`conf`	Automatic Induction of Abduction and Abstraction Theories from Observations. ILP Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito
2005	—	`conf`	Avoiding Order Effects in Incremental Learning. AI*IA Nicola Di Mauro, Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile
2005	—	`—`	First-order incremental theory revision. Nicola Di Mauro
2005	C	`conf`	GRAPE: An Expert Review Assignment Component for Scientific Conference Management Systems. IEA/AIE Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli
2005	—	`conf`	Handling Continuous-Valued Attributes in Incremental First-Order Rules Learning. AI*IA Teresa Maria Altomare Basile, Floriana Esposito, Nicola Di Mauro, Stefano Ferilli
2005	A	`conf`	Intelligent Document Processing. ICDAR Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro
2005	C	`conf`	Learning User Profiles from Text in e-Commerce. ADMA Marco Degemmis, Pasquale Lops, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile, Giovanni Semeraro
2005	—	`conf`	On the LearnAbility of Abstraction Theories from Observations for Relational Learning. ECML Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito
2005	C	`conf`	Semantic-Based Access to Digital Document Databases. ISMIS Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro
2004	A	`conf`	A Backtracking Strategy for Order-Independent Incremental Learning. ECAI Nicola Di Mauro, Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile
2004	C	`conf`	An Algorithm for Incremental Mode Induction. IEA/AIE Nicola Di Mauro, Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile
2004	J	`jnl`	Automatic Annotation of Historical Paper Documents. Intelligenza Artificiale Stefano Ferilli, Luigi Iannone, Giovanni Semeraro, Teresa Maria Altomare Basile, Nicola Di Mauro, Ignazio Palmisano
2004	A	`conf`	Automatic Induction of Domain-Related Information: Learning Descriptors Type Domains. ECAI Stefano Ferilli, Floriana Esposito, Teresa Maria Altomare Basile, Nicola Di Mauro
2004	B	`conf`	Automatic Induction of First-Order Logic Descriptors Type Domains from Observations. ILP Stefano Ferilli, Floriana Esposito, Teresa Maria Altomare Basile, Nicola Di Mauro
2004	—	`conf`	Discovering Logical Structures in Digital Documents. Intelligent Information Systems Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro
2004	C	`conf`	Incremental Induction of Classification Rules for Cultural Heritage Documents. IEA/AIE Teresa Maria Altomare Basile, Stefano Ferilli, Nicola Di Mauro, Floriana Esposito
2004	J	`jnl`	Incremental learning and concept drift in INTHELEX. Intell. Data Anal. Floriana Esposito, Stefano Ferilli, Nicola Fanizzi, Teresa Maria Altomare Basile, Nicola Di Mauro
2004	C	`conf`	Machine Learning Approaches for Inducing Student Models. IEA/AIE Oriana Licchelli, Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito, Giovanni Semeraro, Stefano Ferilli
2004	—	`conf`	Machine Learning Methods for Automatically Processing Historical Documents: From Paper Acquisition to XML Transformation. DIAL Floriana Esposito, Donato Malerba, Giovanni Semeraro, Stefano Ferilli, Oronzo Altamura, Teresa Maria Altomare Basile, Margherita Berardi, Michelangelo Ceci, Nicola Di Mauro
2003	—	`conf`	A Complete Subsumption Algorithm. AI*IA Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile, Floriana Esposito
2003	B	`conf`	An Exhaustive Matching Procedure for the Improvement of Learning Efficiency. ILP Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito, Nicola Fanizzi
2003	—	`conf`	Automatic Induction of Rules for Classification and Interpretation of Cultural Heritage Material. ECDL Stefano Ferilli, Floriana Esposito, Teresa Maria Altomare Basile, Nicola Di Mauro
2003	—	`conf`	Evaluation and Validation of Two Approaches to User Profiling. EWMF Floriana Esposito, Giovanni Semeraro, Stefano Ferilli, Marco Degemmis, Nicola Di Mauro, Teresa Maria Altomare Basile, Pasquale Lops
2003	—	`conf`	Improving Automatic Labelling through RDF Management. ICADL Floriana Esposito, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile, Luigi Iannone, Ignazio Palmisano, Giovanni Semeraro
2003	—	`conf`	Incremental Induction of Rules for Document Image Understanding. AI*IA Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile, Floriana Esposito
2003	J	`jnl`	Incremental Multistrategy Learning for Document Processing. Appl. Artif. Intell. Floriana Esposito, Stefano Ferilli, Nicola Fanizzi, Teresa Maria Altomare Basile, Nicola Di Mauro
2003	A*	`conf`	Spaces of Theories with Ideal Refinement Operators. IJCAI Nicola Fanizzi, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile
2003	C	`conf`	Theta-Subsumption and Resolution: A New Algorithm. ISMIS Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile, Floriana Esposito
2002	C	`conf`	Cooperation of Multiple Strategies for Automated Learning in Complex Environments. ISMIS Floriana Esposito, Stefano Ferilli, Nicola Fanizzi, Teresa Maria Altomare Basile, Nicola Di Mauro
2002	—	`conf`	Multistrategy Learning of Rules for Automated Classification of Cultural Heritage Material. ICADL Giovanni Semeraro, Floriana Esposito, Stefano Ferilli, Nicola Fanizzi, Teresa Maria Altomare Basile, Nicola Di Mauro