Multistrategy Learning of Rules for Automated Classification of Cultural Heritage Material. - Giovanni Semeraro; Floriana Esposito; Stefano Ferilli; Nicola Fanizzi; Teresa Maria Altomare Basile; Nicola Di Mauro (ICADL, 2002)

Cooperation of Multiple Strategies for Automated Learning in Complex Environments. - Floriana Esposito; Stefano Ferilli; Nicola Fanizzi; Teresa Maria Altomare Basile; Nicola Di Mauro (ISMIS, 2002)

A Complete Subsumption Algorithm. - Stefano Ferilli; Nicola Di Mauro; Teresa Maria Altomare Basile; Floriana Esposito (AI*IA, 2003)

Incremental Induction of Rules for Document Image Understanding. - Stefano Ferilli; Nicola Di Mauro; Teresa Maria Altomare Basile; Floriana Esposito (AI*IA, 2003)

Automatic Induction of Rules for Classification and Interpretation of Cultural Heritage Material. - Stefano Ferilli; Floriana Esposito; Teresa Maria Altomare Basile; Nicola Di Mauro (ECDL, 2003)

Evaluation and Validation of Two Approaches to User Profiling. - Floriana Esposito; Giovanni Semeraro; Stefano Ferilli; Marco Degemmis; Nicola Di Mauro; Teresa Maria Altomare Basile; Pasquale Lops (EWMF, 2003)

Improving Automatic Labelling through RDF Management. - Floriana Esposito; Stefano Ferilli; Nicola Di Mauro; Teresa Maria Altomare Basile; Luigi Iannone; Ignazio Palmisano; Giovanni Semeraro (ICADL, 2003)

Spaces of Theories with Ideal Refinement Operators. - Nicola Fanizzi; Stefano Ferilli; Nicola Di Mauro; Teresa Maria Altomare Basile (IJCAI, 2003)

An Exhaustive Matching Procedure for the Improvement of Learning Efficiency. - Nicola Di Mauro; Teresa Maria Altomare Basile; Stefano Ferilli; Floriana Esposito; Nicola Fanizzi (ILP, 2003)

Theta-Subsumption and Resolution: A New Algorithm. - Stefano Ferilli; Nicola Di Mauro; Teresa Maria Altomare Basile; Floriana Esposito (ISMIS, 2003)

Incremental Multistrategy Learning for Document Processing. - Floriana Esposito; Stefano Ferilli; Nicola Fanizzi; Teresa Maria Altomare Basile; Nicola Di Mauro (Appl. Artif. Intell., 2003)

Machine Learning Methods for Automatically Processing Historical Documents: From Paper Acquisition to XML Transformation. - Floriana Esposito; Donato Malerba; Giovanni Semeraro; Stefano Ferilli; Oronzo Altamura; Teresa Maria Altomare Basile; Margherita Berardi; Michelangelo Ceci; Nicola Di Mauro (DIAL, 2004)

Automatic Induction of Domain-Related Information: Learning Descriptors Type Domains. - Stefano Ferilli; Floriana Esposito; Teresa Maria Altomare Basile; Nicola Di Mauro (ECAI, 2004)

A Backtracking Strategy for Order-Independent Incremental Learning. - Nicola Di Mauro; Floriana Esposito; Stefano Ferilli; Teresa Maria Altomare Basile (ECAI, 2004)

Incremental Induction of Classification Rules for Cultural Heritage Documents. - Teresa Maria Altomare Basile; Stefano Ferilli; Nicola Di Mauro; Floriana Esposito (IEA/AIE, 2004)

Machine Learning Approaches for Inducing Student Models. - Oriana Licchelli; Teresa Maria Altomare Basile; Nicola Di Mauro; Floriana Esposito; Giovanni Semeraro; Stefano Ferilli (IEA/AIE, 2004)

An Algorithm for Incremental Mode Induction. - Nicola Di Mauro; Floriana Esposito; Stefano Ferilli; Teresa Maria Altomare Basile (IEA/AIE, 2004)

Discovering Logical Structures in Digital Documents. - Floriana Esposito; Stefano Ferilli; Teresa Maria Altomare Basile; Nicola Di Mauro (Intelligent Information Systems, 2004)

Automatic Induction of First-Order Logic Descriptors Type Domains from Observations. - Stefano Ferilli; Floriana Esposito; Teresa Maria Altomare Basile; Nicola Di Mauro (ILP, 2004)

Automatic Annotation of Historical Paper Documents. - Stefano Ferilli; Luigi Iannone; Giovanni Semeraro; Teresa Maria Altomare Basile; Nicola Di Mauro; Ignazio Palmisano (Intelligenza Artificiale, 2004)

Incremental learning and concept drift in INTHELEX. - Floriana Esposito; Stefano Ferilli; Nicola Fanizzi; Teresa Maria Altomare Basile; Nicola Di Mauro (Intell. Data Anal., 2004)

Learning User Profiles from Text in e-Commerce. - Marco Degemmis; Pasquale Lops; Stefano Ferilli; Nicola Di Mauro; Teresa Maria Altomare Basile; Giovanni Semeraro (ADMA, 2005)

Handling Continuous-Valued Attributes in Incremental First-Order Rules Learning. - Teresa Maria Altomare Basile; Floriana Esposito; Nicola Di Mauro; Stefano Ferilli (AI*IA, 2005)

Avoiding Order Effects in Incremental Learning. - Nicola Di Mauro; Floriana Esposito; Stefano Ferilli; Teresa Maria Altomare Basile (AI*IA, 2005)

On the LearnAbility of Abstraction Theories from Observations for Relational Learning. - Stefano Ferilli; Teresa Maria Altomare Basile; Nicola Di Mauro; Floriana Esposito (ECML, 2005)

Intelligent Document Processing. - Floriana Esposito; Stefano Ferilli; Teresa Maria Altomare Basile; Nicola Di Mauro (ICDAR, 2005)

GRAPE: An Expert Review Assignment Component for Scientific Conference Management Systems. - Nicola Di Mauro; Teresa Maria Altomare Basile; Stefano Ferilli (IEA/AIE, 2005)

Automatic Induction of Abduction and Abstraction Theories from Observations. - Stefano Ferilli; Teresa Maria Altomare Basile; Nicola Di Mauro; Floriana Esposito (ILP, 2005)

Semantic-Based Access to Digital Document Databases. - Floriana Esposito; Stefano Ferilli; Teresa Maria Altomare Basile; Nicola Di Mauro (ISMIS, 2005)

First-order incremental theory revision. - Nicola Di Mauro (2005)

Automatic Content-based Indexing of Digital Documents through Intelligent Processing Techniques. - Floriana Esposito; Stefano Ferilli; Teresa Maria Altomare Basile; Nicola Di Mauro (DIAL, 2006)

Tractable Feature Generation Through Description Logics with Value and Number Restrictions. - Nicola Fanizzi; Luigi Iannone; Nicola Di Mauro; Floriana Esposito (IEA/AIE, 2006)

Automatic Topics Identification for Reviewer Assignment. - Stefano Ferilli; Nicola Di Mauro; Teresa Maria Altomare Basile; Floriana Esposito; Marenglen Biba (IEA/AIE, 2006)

Towards Automatic Digital Library Content-based Management. - Floriana Esposito; Stefano Ferilli; Nicola Di Mauro; Teresa Maria Altomare Basile (IRCDL, 2006)

Intelligent Methodologies for Scientific Conference Management. - Marenglen Biba; Stefano Ferilli; Nicola Di Mauro; Teresa Maria Altomare Basile (ISMIS, 2006)

Multistrategy Operators for Relational Learning and Their Cooperation. - Floriana Esposito; Nicola Fanizzi; Stefano Ferilli; Teresa Maria Altomare Basile; Nicola Di Mauro (Fundam. Informaticae, 2006)

Text learning for user profiling in e-commerce. - Marco Degemmis; Pasquale Lops; Stefano Ferilli; Nicola Di Mauro; Teresa Maria Altomare Basile; Giovanni Semeraro (Int. J. Syst. Sci., 2006)

Similarity-Guided Clause Generalization. - Stefano Ferilli; Teresa Maria Altomare Basile; Nicola Di Mauro; Marenglen Biba; Floriana Esposito (AI*IA, 2007)

Generalization-Based Similarity for Conceptual Clustering. - Stefano Ferilli; Teresa Maria Altomare Basile; Nicola Di Mauro; Marenglen Biba; Floriana Esposito (MCD, 2007)

Incremental Learning of First Order Logic Theories for the Automatic Annotations of Web Documents. - Floriana Esposito; Stefano Ferilli; Nicola Di Mauro; Teresa Maria Altomare Basile (ICDAR, 2007)

Unsupervised Discretization Using Kernel Density Estimation. - Marenglen Biba; Floriana Esposito; Stefano Ferilli; Nicola Di Mauro; Teresa Maria Altomare Basile (IJCAI, 2007)

A Hybrid Symbolic-Statistical Approach to Modeling Metabolic Networks. - Marenglen Biba; Stefano Ferilli; Nicola Di Mauro; Teresa Maria Altomare Basile (KES (1), 2007)

Mining Time-series Sequences of Reactions for Biologically Active Patterns in Metabolic Pathways. - Marenglen Biba; Floriana Esposito; Stefano Ferilli; Nicola Di Mauro; Teresa Maria Altomare Basile (SEBD, 2007)

A Fast Partial Memory Approach to Incremental Learning through an Advanced Data Storage Framework. - Marenglen Biba; Stefano Ferilli; Floriana Esposito; Nicola Di Mauro; Teresa Maria Altomare Basile (SEBD, 2007)

Multi-class Protein Fold Recognition Through a Symbolic-Statistical Framework. - Marenglen Biba; Floriana Esposito; Stefano Ferilli; Teresa Maria Altomare Basile; Nicola Di Mauro (WILF, 2007)

Inference of abduction theories for handling incompleteness in first-order learning. - Floriana Esposito; Stefano Ferilli; Teresa Maria Altomare Basile; Nicola Di Mauro (Knowl. Inf. Syst., 2007)

k-Nearest Neighbor Classification on First-Order Logic Descriptions. - Stefano Ferilli; Marenglen Biba; Teresa Maria Altomare Basile; Nicola Di Mauro; Floriana Esposito (ICDM Workshops, 2008)

Stochastic Propositionalization for Efficient Multi-relational Learning. - Nicola Di Mauro; Teresa Maria Altomare Basile; Stefano Ferilli; Floriana Esposito (ISMIS, 2008)

Approximate Reasoning for Efficient Anytime Induction from Relational Knowledge Bases. - Nicola Di Mauro; Teresa Maria Altomare Basile; Stefano Ferilli; Floriana Esposito (SUM, 2008)

Multi-Dimensional Relational Sequence Mining. - Floriana Esposito; Nicola Di Mauro; Teresa Maria Altomare Basile; Stefano Ferilli (Fundam. Informaticae, 2008)

Machine Learning for Digital Document Processing: from Layout Analysis to Metadata Extraction. - Floriana Esposito; Stefano Ferilli; Teresa Maria Altomare Basile; Nicola Di Mauro (Machine Learning in Document Analysis and Recognition, 2008)

Relational Temporal Data Mining for Wireless Sensor Networks. - Teresa Maria Altomare Basile; Nicola Di Mauro; Stefano Ferilli; Floriana Esposito (AI*IA, 2009)

Plugging Taxonomic Similarity in First-Order Logic Horn Clauses Comparison. - Stefano Ferilli; Marenglen Biba; Nicola Di Mauro; Teresa Maria Altomare Basile; Floriana Esposito (AI*IA, 2009)

A Logic Programming Framework for Learning by Imitation. - Grazia Bombini; Nicola Di Mauro; Teresa Maria Altomare Basile; Stefano Ferilli; Floriana Esposito (ICEIS (2), 2009)

Relational Sequence Clustering for Aggregating Similar Agents. - Grazia Bombini; Nicola Di Mauro; Stefano Ferilli; Floriana Esposito (ISMIS, 2009)

Relational Learning by Imitation. - Grazia Bombini; Nicola Di Mauro; Teresa Maria Altomare Basile; Stefano Ferilli; Floriana Esposito (KES-AMSTA, 2009)

A General Similarity Framework for Horn Clause Logic. - Stefano Ferilli; Teresa Maria Altomare Basile; Marenglen Biba; Nicola Di Mauro; Floriana Esposito (Fundam. Informaticae, 2009)

Coalition Structure Generation with GRASP. - Nicola Di Mauro; Teresa Maria Altomare Basile; Stefano Ferilli; Floriana Esposito (AIMSA, 2010)

Relational Sequence based Classification in Multi-agent Systems. - Grazia Bombini; Nicola Di Mauro; Stefano Ferilli; Floriana Esposito (ICAART (1), 2010)

Merging Structural and Taxonomic Similarity for Text Retrieval Using Relational Descriptions. - Stefano Ferilli; Marenglen Biba; Nicola Di Mauro; Teresa Maria Altomare Basile; Floriana Esposito (IRCDL, 2010)

Classifying Agent Behaviour through Relational Sequential Patterns. - Grazia Bombini; Nicola Di Mauro; Stefano Ferilli; Floriana Esposito (KES-AMSTA (1), 2010)

Approximate image color correlograms. - Claudio Taranto; Nicola Di Mauro; Stefano Ferilli; Floriana Esposito (ACM Multimedia, 2010)

GRASP for the Coalition Structure Formation Problem - Nicola Di Mauro; Teresa Maria Altomare Basile; Stefano Ferilli; Floriana Esposito (CoRR, 2010)

Feature Construction for Relational Sequence Learning - Nicola Di Mauro; Teresa Maria Altomare Basile; Stefano Ferilli; Floriana Esposito (CoRR, 2010)

Approximate Relational Reasoning by Stochastic Propositionalization. - Nicola Di Mauro; Teresa Maria Altomare Basile; Stefano Ferilli; Floriana Esposito (Advances in Intelligent Information Systems, 2010)

Plugging Numeric Similarity in First-Order Logic Horn Clauses Comparison. - Stefano Ferilli; Teresa Maria Altomare Basile; Nicola Di Mauro; Floriana Esposito (AI*IA, 2011)

Markov Logic Networks for Document Layout Correction. - Stefano Ferilli; Teresa Maria Altomare Basile; Nicola Di Mauro (IEA/AIE (1), 2011)

mLynx: Relational Mutual Information. - Nicola Di Mauro; Teresa Maria Altomare Basile; Stefano Ferilli; Floriana Esposito (ILP (Late Breaking Papers), 2011)

DDTA - Digitalisation of Districts in the Textile and Clothing Sector. - Floriana Esposito; Stefano Ferilli; Nicola Di Mauro; Teresa Maria Altomare Basile; Marenglen Biba (IRCDL, 2011)

Computational Models Enhancing Semantic Access to Digital Repositories. - Floriana Esposito; Nicola Di Mauro; Claudio Taranto; Stefano Ferilli (IRCDL, 2011)

Probabilistic Inference over Image Networks. - Claudio Taranto; Nicola Di Mauro; Floriana Esposito (IRCDL, 2011)

A Taxonomic Generalization Technique for Natural Language Processing. - Stefano Ferilli; Nicola Di Mauro; Teresa Maria Altomare Basile; Floriana Esposito (ISMIS, 2011)

Optimizing Probabilistic Models for Relational Sequence Learning. - Nicola Di Mauro; Teresa Maria Altomare Basile; Stefano Ferilli; Floriana Esposito (ISMIS, 2011)

rsLDA: A Bayesian hierarchical model for relational learning. - Claudio Taranto; Nicola Di Mauro; Floriana Esposito (ICDKE, 2011)

A Relational Approach to Sensor Network Data Mining. - Floriana Esposito; Teresa Maria Altomare Basile; Nicola Di Mauro; Stefano Ferilli (Information Retrieval and Mining in Distributed Environments, 2011)

Automatic Document Layout Analysis through Relational Machine Learning. - Stefano Ferilli; Teresa Maria Altomare Basile; Nicola Di Mauro; Floriana Esposito (Learning Structure and Schemas from Documents, 2011)

Uncertain Graphs meet Collaborative Filtering. - Claudio Taranto; Nicola Di Mauro; Floriana Esposito (IIR, 2012)

Learning to Recognize Critical Cells in Document Tables. - Nicola Di Mauro; Stefano Ferilli; Floriana Esposito (IRCDL, 2012)

Uncertain (Multi)Graphs for Personalization Services in Digital Libraries. - Claudio Taranto; Nicola Di Mauro; Floriana Esposito (IRCDL, 2012)

Learning in Probabilistic Graphs Exploiting Language-Constrained Patterns. - Claudio Taranto; Nicola Di Mauro; Floriana Esposito (NFMCP, 2012)

Language-Constraint Reachability Learning in Probabilistic Graphs - Claudio Taranto; Nicola Di Mauro; Floriana Esposito (CoRR, 2012)

Social networks and statistical relational learning: a survey. - Floriana Esposito; Stefano Ferilli; Teresa Maria Altomare Basile; Nicola Di Mauro (Int. J. Soc. Netw. Min., 2012)

Applying the information bottleneck to statistical relational learning. - Fabrizio Riguzzi; Nicola Di Mauro (Mach. Learn., 2012)

Finding Critical Cells in Web Tables with SRL: Trying to Uncover the Devil's Tease. - Nicola Di Mauro; Floriana Esposito; Stefano Ferilli (ICDAR, 2013)

Ensemble Relational Learning based on Selective Propositionalization. - Nicola Di Mauro; Floriana Esposito (CoRR, 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)

Assessing Document Relevance by Modeling Citation Networks with Probabilistic Graphs. - Teresa Maria Altomare Basile; Nicola Di Mauro; Floriana Esposito (IRCDL, 2014)

Grasp and Path-Relinking for Coalition Structure Generation. - Nicola Di Mauro; Teresa Maria Altomare Basile; Stefano Ferilli; Floriana Esposito (Fundam. Informaticae, 2014)

Link classification with probabilistic graphs. - Nicola Di Mauro; Claudio Taranto; Floriana Esposito (J. Intell. Inf. Syst., 2014)

Learning Accurate Cutset Networks by Exploiting Decomposability. - Nicola Di Mauro; Antonio Vergari; Floriana Esposito (AI*IA, 2015)

Learning Bayesian Random Cutset Forests. - Nicola Di Mauro; Antonio Vergari; Teresa Maria Altomare Basile (ISMIS, 2015)

Simplifying, Regularizing and Strengthening Sum-Product Network Structure Learning. - Antonio Vergari; Nicola Di Mauro; Floriana Esposito (ECML/PKDD (2), 2015)

Bandit-based Monte-Carlo structure learning of probabilistic logic programs. - Nicola Di Mauro; Elena Bellodi; Fabrizio Riguzzi (Mach. Learn., 2015)

Multi-Label Classification with Cutset Networks. - Nicola Di Mauro; Antonio Vergari; Floriana Esposito (Probabilistic Graphical Models, 2016)

Towards Representation Learning with Tractable Probabilistic Models. - Antonio Vergari; Nicola Di Mauro; Floriana Esposito (CoRR, 2016)

Alternative Variable Splitting Methods to Learn Sum-Product Networks. - Nicola Di Mauro; Floriana Esposito; Fabrizio Giuseppe Ventola; Antonio Vergari (AI*IA, 2017)

Encoding and Decoding Representations with Sum- and Max-Product Networks. - Antonio Vergari; Robert Peharz; Nicola Di Mauro; Floriana Esposito (ICLR (Workshop), 2017)

Density Estimators for Positive-Unlabeled Learning. - Teresa Maria Altomare Basile; Nicola Di Mauro; Floriana Esposito; Stefano Ferilli; Antonio Vergari (NFMCP@PKDD/ECML, 2017)

Fast and Accurate Density Estimation with Extremely Randomized Cutset Networks. - Nicola Di Mauro; Antonio Vergari; Teresa Maria Altomare Basile; Floriana Esposito (ECML/PKDD (1), 2017)

End-to-end Learning of Deep Spatio-temporal Representations for Satellite Image Time Series Classification. - Nicola Di Mauro; Antonio Vergari; Teresa Maria Altomare Basile; Fabrizio Giuseppe Ventola; Floriana Esposito (DC@PKDD/ECML, 2017)

Sum-Product Networks for Hybrid Domains. - Alejandro Molina 001; Antonio Vergari; Nicola Di Mauro; Sriraam Natarajan; Floriana Esposito; Kristian Kersting (CoRR, 2017)

Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains. - Alejandro Molina 001; Antonio Vergari; Nicola Di Mauro; Sriraam Natarajan; Floriana Esposito; Kristian Kersting (AAAI, 2018)

Sum-Product Autoencoding: Encoding and Decoding Representations Using Sum-Product Networks. - Antonio Vergari; Robert Peharz; Nicola Di Mauro; Alejandro Molina 001; Kristian Kersting; Floriana Esposito (AAAI, 2018)

Extremely Randomized CNets for Multi-label Classification. - Teresa Maria Altomare Basile; Nicola Di Mauro; Floriana Esposito (AI*IA, 2018)

Unsupervised LSTMs-based Learning for Anomaly Detection in Highway Traffic Data. - Nicola Di Mauro; Stefano Ferilli (ISMIS, 2018)

Sum-Product Network structure learning by efficient product nodes discovery. - Nicola Di Mauro; Floriana Esposito; Fabrizio Giuseppe Ventola; Antonio Vergari (Intelligenza Artificiale, 2018)

Leveraging Shallow Machine Learning to Predict Business Process Behavior. - Annalisa Appice; Nicola Di Mauro; Donato Malerba (SCC, 2019)

Activity Prediction of Business Process Instances with Inception CNN Models. - Nicola Di Mauro; Annalisa Appice; Teresa M. A. Basile (AI*IA, 2019)

Exploiting the Auto-Encoder Residual Error for Intrusion Detection. - Giuseppina Andresini; Annalisa Appice; Nicola Di Mauro; Corrado Loglisci; Donato Malerba (EuroS&P Workshops, 2019)

Empowering Change Vector Analysis with Autoencoding in Bi-temporal Hyperspectral Images. - Annalisa Appice; Nicola Di Mauro; Francesco Lomuscio; Donato Malerba (MACLEAN@PKDD/ECML, 2019)

SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks. - Alejandro Molina 001; Antonio Vergari; Karl Stelzner; Robert Peharz; Pranav Subramani; Nicola Di Mauro; Pascal Poupart; Kristian Kersting (CoRR, 2019)

Ensembles of density estimators for positive-unlabeled learning. - Teresa Maria Altomare Basile; Nicola Di Mauro; Floriana Esposito; Stefano Ferilli; Antonio Vergari (J. Intell. Inf. Syst., 2019)

Visualizing and understanding Sum-Product Networks. - Antonio Vergari; Nicola Di Mauro; Floriana Esposito (Mach. Learn., 2019)

Multi-Channel Deep Feature Learning for Intrusion Detection. - Giuseppina Andresini; Annalisa Appice; Nicola Di Mauro; Corrado Loglisci; Donato Malerba (IEEE Access, 2020)

Random probabilistic circuits. - Nicola Di Mauro; Gennaro Gala; Marco Iannotta; Teresa M. A. Basile (UAI, 2021)

Argumentation Ranking Semantics as a Feature for Classification - On Automatic Evaluation of Argumentative Essays. - Roberto Barile; Claudia d'Amato; Nicola Di Mauro; Stefano Ferilli; Nunzia Lomonte (AI³@AI*IA, 2022)

How to Turn Your Knowledge Graph Embeddings into Generative Models. - Lorenzo Loconte; Nicola Di Mauro; Robert Peharz; Antonio Vergari (NeurIPS, 2023)

How to Turn Your Knowledge Graph Embeddings into Generative Models via Probabilistic Circuits. - Lorenzo Loconte; Nicola Di Mauro; Robert Peharz; Antonio Vergari (CoRR, 2023)