Nicola Di Mauro

According to our database, Nicola Di Mauro authored at least 118 papers between 2002 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

How to Turn Your Knowledge Graph Embeddings into Generative Models.

Lorenzo Loconte, Nicola Di Mauro, Robert Peharz, Antonio Vergari

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

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

Proceedings of the 6th Workshop on Advances in Argumentation in Artificial Intelligence 2022 co-located with the 21st International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022), 2022

2021

Random probabilistic circuits.

Nicola Di Mauro, Gennaro Gala, Marco Iannotta, Teresa M. A. Basile

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020

Multi-Channel Deep Feature Learning for Intrusion Detection.

Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba

IEEE Access, 2020

2019

Visualizing and understanding Sum-Product Networks.

Antonio Vergari, Nicola Di Mauro, Floriana Esposito

Mach. Learn., 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

SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks.

Alejandro Molina, Antonio Vergari, Karl Stelzner, Robert Peharz, Pranav Subramani, Nicola Di Mauro, Pascal Poupart, Kristian Kersting

CoRR, 2019

Empowering Change Vector Analysis with Autoencoding in Bi-temporal Hyperspectral Images.

Annalisa Appice, Nicola Di Mauro, Francesco Lomuscio, Donato Malerba

Proceedings of MACLEAN: MAChine Learning for EArth ObservatioN Workshop co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2019), 2019

Exploiting the Auto-Encoder Residual Error for Intrusion Detection.

Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba

Proceedings of the 2019 IEEE European Symposium on Security and Privacy Workshops, 2019

Activity Prediction of Business Process Instances with Inception CNN Models.

Nicola Di Mauro, Annalisa Appice, Teresa M. A. Basile

Proceedings of the AI*IA 2019 - Advances in Artificial Intelligence, 2019

Leveraging Shallow Machine Learning to Predict Business Process Behavior.

Annalisa Appice, Nicola Di Mauro, Donato Malerba

Proceedings of the 2019 IEEE International Conference on Services Computing, 2019

2018

Sum-Product Network structure learning by efficient product nodes discovery.

Nicola Di Mauro, Floriana Esposito, Fabrizio Giuseppe Ventola, Antonio Vergari

Intelligenza Artificiale, 2018

Unsupervised LSTMs-based Learning for Anomaly Detection in Highway Traffic Data.

Nicola Di Mauro, Stefano Ferilli

Proceedings of the Foundations of Intelligent Systems - 24th International Symposium, 2018

Extremely Randomized CNets for Multi-label Classification.

Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito

Proceedings of the AI*IA 2018 - Advances in Artificial Intelligence, 2018

Sum-Product Autoencoding: Encoding and Decoding Representations Using Sum-Product Networks.

Antonio Vergari, Robert Peharz, Nicola Di Mauro, Alejandro Molina, Kristian Kersting, Floriana Esposito

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains.

Alejandro Molina, Antonio Vergari, Nicola Di Mauro, Sriraam Natarajan, Floriana Esposito, Kristian Kersting

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Sum-Product Networks for Hybrid Domains.

Alejandro Molina, Antonio Vergari, Nicola Di Mauro, Sriraam Natarajan, Floriana Esposito, Kristian Kersting

CoRR, 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

Proceedings of the ECML/PKDD Discovery Challenges co-located with European Conference on Machine Learning, 2017

Fast and Accurate Density Estimation with Extremely Randomized Cutset Networks.

Nicola Di Mauro, Antonio Vergari, Teresa Maria Altomare Basile, Floriana Esposito

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Density Estimators for Positive-Unlabeled Learning.

Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito, Stefano Ferilli, Antonio Vergari

Proceedings of the New Frontiers in Mining Complex Patterns - 6th International Workshop, 2017

Encoding and Decoding Representations with Sum- and Max-Product Networks.

Antonio Vergari, Robert Peharz, Nicola Di Mauro, Floriana Esposito

Proceedings of the 5th International Conference on Learning Representations, 2017

Alternative Variable Splitting Methods to Learn Sum-Product Networks.

Nicola Di Mauro, Floriana Esposito, Fabrizio Giuseppe Ventola, Antonio Vergari

Proceedings of the AI*IA 2017 Advances in Artificial Intelligence, 2017

2016

Towards Representation Learning with Tractable Probabilistic Models.

Antonio Vergari, Nicola Di Mauro, Floriana Esposito

CoRR, 2016

Multi-Label Classification with Cutset Networks.

Nicola Di Mauro, Antonio Vergari, Floriana Esposito

Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

2015

Bandit-based Monte-Carlo structure learning of probabilistic logic programs.

Nicola Di Mauro, Elena Bellodi, Fabrizio Riguzzi

Mach. Learn., 2015

Simplifying, Regularizing and Strengthening Sum-Product Network Structure Learning.

Antonio Vergari, Nicola Di Mauro, Floriana Esposito

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Learning Bayesian Random Cutset Forests.

Nicola Di Mauro, Antonio Vergari, Teresa Maria Altomare Basile

Proceedings of the Foundations of Intelligent Systems - 22nd International Symposium, 2015

Learning Accurate Cutset Networks by Exploiting Decomposability.

Nicola Di Mauro, Antonio Vergari, Floriana Esposito

Proceedings of the AI*IA 2015, Advances in Artificial Intelligence, 2015

2014

Link classification with probabilistic graphs.

Nicola Di Mauro, Claudio Taranto, Floriana Esposito

J. Intell. Inf. Syst., 2014

Grasp and Path-Relinking for Coalition Structure Generation.

Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito

Fundam. Informaticae, 2014

Assessing Document Relevance by Modeling Citation Networks with Probabilistic Graphs.

Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito

Proceedings of the Pushing the Boundaries of the Digital Libraries Field, 2014

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, Alessio Micheli, Marcello Pelillo, Francesco Ricci, Fabrizio Riguzzi, Lorenza Saitta, Giovanni Semeraro

Intelligenza Artificiale, 2013

Ensemble Relational Learning based on Selective Propositionalization.

Nicola Di Mauro, Floriana Esposito

CoRR, 2013

Finding Critical Cells in Web Tables with SRL: Trying to Uncover the Devil's Tease.

Nicola Di Mauro, Floriana Esposito, Stefano Ferilli

Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013

2012

Applying the information bottleneck to statistical relational learning.

Fabrizio Riguzzi, Nicola Di Mauro

Mach. Learn., 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

Language-Constraint Reachability Learning in Probabilistic Graphs

Claudio Taranto, Nicola Di Mauro, Floriana Esposito

CoRR, 2012

Learning in Probabilistic Graphs Exploiting Language-Constrained Patterns.

Claudio Taranto, Nicola Di Mauro, Floriana Esposito

Proceedings of the New Frontiers in Mining Complex Patterns - First International Workshop, 2012

Uncertain (Multi)Graphs for Personalization Services in Digital Libraries.

Claudio Taranto, Nicola Di Mauro, Floriana Esposito

Proceedings of the Digital Libraries and Archives - 8th Italian Research Conference, 2012

Learning to Recognize Critical Cells in Document Tables.

Nicola Di Mauro, Stefano Ferilli, Floriana Esposito

Proceedings of the Digital Libraries and Archives - 8th Italian Research Conference, 2012

Uncertain Graphs meet Collaborative Filtering.

Claudio Taranto, Nicola Di Mauro, Floriana Esposito

Proceedings of the 3rd Italian Information Retrieval Workshop, 2012

2011

Automatic Document Layout Analysis through Relational Machine Learning.

Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito

Proceedings of the Learning Structure and Schemas from Documents, 2011

A Relational Approach to Sensor Network Data Mining.

Floriana Esposito, Teresa Maria Altomare Basile, Nicola Di Mauro, Stefano Ferilli

Proceedings of the Information Retrieval and Mining in Distributed Environments, 2011

rsLDA: A Bayesian hierarchical model for relational learning.

Claudio Taranto, Nicola Di Mauro, Floriana Esposito

Proceedings of the 2011 International Conference on Data and Knowledge Engineering, 2011

Optimizing Probabilistic Models for Relational Sequence Learning.

Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito

Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011

A Taxonomic Generalization Technique for Natural Language Processing.

Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile, Floriana Esposito

Proceedings of the Foundations of Intelligent Systems - 19th International Symposium, 2011

Probabilistic Inference over Image Networks.

Claudio Taranto, Nicola Di Mauro, Floriana Esposito

Proceedings of the Digital Libraries and Archives - 7th Italian Research Conference, 2011

Computational Models Enhancing Semantic Access to Digital Repositories.

Floriana Esposito, Nicola Di Mauro, Claudio Taranto, Stefano Ferilli

Proceedings of the Digital Libraries and Archives - 7th Italian Research Conference, 2011

DDTA - Digitalisation of Districts in the Textile and Clothing Sector.

Floriana Esposito, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile, Marenglen Biba

Proceedings of the Digital Libraries and Archives - 7th Italian Research Conference, 2011

mLynx: Relational Mutual Information.

Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito

Proceedings of the Latest Advances in Inductive Logic Programming, 2011

Markov Logic Networks for Document Layout Correction.

Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro

Proceedings of the Modern Approaches in Applied Intelligence, 2011

Plugging Numeric Similarity in First-Order Logic Horn Clauses Comparison.

Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito

Proceedings of the AI*IA 2011: Artificial Intelligence Around Man and Beyond, 2011

2010

Approximate Relational Reasoning by Stochastic Propositionalization.

Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito

Proceedings of the Advances in Intelligent Information Systems, 2010

Feature Construction for Relational Sequence Learning

Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito

CoRR, 2010

GRASP for the Coalition Structure Formation Problem

Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito

CoRR, 2010

Approximate image color correlograms.

Claudio Taranto, Nicola Di Mauro, Stefano Ferilli, Floriana Esposito

Proceedings of the 18th International Conference on Multimedia 2010, 2010

Classifying Agent Behaviour through Relational Sequential Patterns.

Grazia Bombini, Nicola Di Mauro, Stefano Ferilli, Floriana Esposito

Proceedings of the Agent and Multi-Agent Systems: Technologies and Applications, 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

Proceedings of the Digital Libraries - 6th Italian Research Conference, 2010

Relational Sequence based Classification in Multi-agent Systems.

Grazia Bombini, Nicola Di Mauro, Stefano Ferilli, Floriana Esposito

Proceedings of the ICAART 2010 - Proceedings of the International Conference on Agents and Artificial Intelligence, Volume 1, 2010

Coalition Structure Generation with GRASP.

Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito

Proceedings of the Artificial Intelligence: Methodology, 2010

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

Relational Learning by Imitation.

Grazia Bombini, Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito

Proceedings of the Agent and Multi-Agent Systems: Technologies and Applications, 2009

Relational Sequence Clustering for Aggregating Similar Agents.

Grazia Bombini, Nicola Di Mauro, Stefano Ferilli, Floriana Esposito

Proceedings of the Foundations of Intelligent Systems, 18th International Symposium, 2009

A Logic Programming Framework for Learning by Imitation.

Grazia Bombini, Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito

Proceedings of the ICEIS 2009, 2009

Plugging Taxonomic Similarity in First-Order Logic Horn Clauses Comparison.

Stefano Ferilli, Marenglen Biba, Nicola Di Mauro, Teresa Maria Altomare Basile, Floriana Esposito

Proceedings of the AI*IA 2009: Emergent Perspectives in Artificial Intelligence, 2009

Relational Temporal Data Mining for Wireless Sensor Networks.

Teresa Maria Altomare Basile, Nicola Di Mauro, Stefano Ferilli, Floriana Esposito

Proceedings of the AI*IA 2009: Emergent Perspectives in Artificial Intelligence, 2009

2008

Machine Learning for Digital Document Processing: from Layout Analysis to Metadata Extraction.

Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro

Proceedings of the Machine Learning in Document Analysis and Recognition, 2008

Multi-Dimensional Relational Sequence Mining.

Floriana Esposito, Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli

Fundam. Informaticae, 2008

Approximate Reasoning for Efficient Anytime Induction from Relational Knowledge Bases.

Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito

Proceedings of the Scalable Uncertainty Management, Second International Conference, 2008

Stochastic Propositionalization for Efficient Multi-relational Learning.

Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito

Proceedings of the Foundations of Intelligent Systems, 17th International Symposium, 2008

k-Nearest Neighbor Classification on First-Order Logic Descriptions.

Stefano Ferilli, Marenglen Biba, Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito

Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

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

Multi-class Protein Fold Recognition Through a Symbolic-Statistical Framework.

Marenglen Biba, Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro

Proceedings of the Applications of Fuzzy Sets Theory, 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

Proceedings of the Fifteenth Italian Symposium on Advanced Database Systems, 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

Proceedings of the Fifteenth Italian Symposium on Advanced Database Systems, 2007

A Hybrid Symbolic-Statistical Approach to Modeling Metabolic Networks.

Marenglen Biba, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

Unsupervised Discretization Using Kernel Density Estimation.

Marenglen Biba, Floriana Esposito, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile

Proceedings of the IJCAI 2007, 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

Proceedings of the 9th International Conference on Document Analysis and Recognition (ICDAR 2007), 2007

Generalization-Based Similarity for Conceptual Clustering.

Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro, Marenglen Biba, Floriana Esposito

Proceedings of the Mining Complex Data, ECML/PKDD 2007 Third International Workshop, 2007

Similarity-Guided Clause Generalization.

Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro, Marenglen Biba, Floriana Esposito

Proceedings of the AI*IA 2007: Artificial Intelligence and Human-Oriented Computing, 2007

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

Multistrategy Operators for Relational Learning and Their Cooperation.

Floriana Esposito, Nicola Fanizzi, Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro

Fundam. Informaticae, 2006

Intelligent Methodologies for Scientific Conference Management.

Marenglen Biba, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile

Proceedings of the Foundations of Intelligent Systems, 16th International Symposium, 2006

Towards Automatic Digital Library Content-based Management.

Floriana Esposito, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile

Proceedings of the Post-proceedings of the Second Italian Research Conference on Digital Library Management Systems (IRCDL 2006), 2006

Automatic Topics Identification for Reviewer Assignment.

Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile, Floriana Esposito, Marenglen Biba

Proceedings of the Advances in Applied Artificial Intelligence, 2006

Tractable Feature Generation Through Description Logics with Value and Number Restrictions.

Nicola Fanizzi, Luigi Iannone, Nicola Di Mauro, Floriana Esposito

Proceedings of the Advances in Applied Artificial Intelligence, 2006

Automatic Content-based Indexing of Digital Documents through Intelligent Processing Techniques.

Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro

Proceedings of the Second International Workshop on Document Image Analysis for Libraries (DIAL 2006), 2006

2005

First-order incremental theory revision.

Nicola Di Mauro

PhD thesis, 2005

Semantic-Based Access to Digital Document Databases.

Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro

Proceedings of the Foundations of Intelligent Systems, 15th International Symposium, 2005

Automatic Induction of Abduction and Abstraction Theories from Observations.

Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito

Proceedings of the Inductive Logic Programming, 15th International Conference, 2005

GRAPE: An Expert Review Assignment Component for Scientific Conference Management Systems.

Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli

Proceedings of the Innovations in Applied Artificial Intelligence, 2005

Intelligent Document Processing.

Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro

Proceedings of the Eighth International Conference on Document Analysis and Recognition (ICDAR 2005), 29 August, 2005

On the LearnAbility of Abstraction Theories from Observations for Relational Learning.

Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito

Proceedings of the Machine Learning: ECML 2005, 2005

Avoiding Order Effects in Incremental Learning.

Nicola Di Mauro, Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile

Proceedings of the AI*IA 2005: Advances in Artificial Intelligence, 2005

Handling Continuous-Valued Attributes in Incremental First-Order Rules Learning.

Teresa Maria Altomare Basile, Floriana Esposito, Nicola Di Mauro, Stefano Ferilli

Proceedings of the AI*IA 2005: Advances in Artificial Intelligence, 2005

Learning User Profiles from Text in e-Commerce.

Marco Degemmis, Pasquale Lops, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile, Giovanni Semeraro

Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005

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

Automatic Annotation of Historical Paper Documents.

Stefano Ferilli, Luigi Iannone, Giovanni Semeraro, Teresa Maria Altomare Basile, Nicola Di Mauro, Ignazio Palmisano

Intelligenza Artificiale, 2004

Automatic Induction of First-Order Logic Descriptors Type Domains from Observations.

Stefano Ferilli, Floriana Esposito, Teresa Maria Altomare Basile, Nicola Di Mauro

Proceedings of the Inductive Logic Programming, 14th International Conference, 2004

Discovering Logical Structures in Digital Documents.

Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro

Proceedings of the Intelligent Information Processing and Web Mining, 2004

An Algorithm for Incremental Mode Induction.

Nicola Di Mauro, Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile

Proceedings of the Innovations in Applied Artificial Intelligence, 2004

Machine Learning Approaches for Inducing Student Models.

Oriana Licchelli, Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito, Giovanni Semeraro, Stefano Ferilli

Proceedings of the Innovations in Applied Artificial Intelligence, 2004

Incremental Induction of Classification Rules for Cultural Heritage Documents.

Teresa Maria Altomare Basile, Stefano Ferilli, Nicola Di Mauro, Floriana Esposito

Proceedings of the Innovations in Applied Artificial Intelligence, 2004

A Backtracking Strategy for Order-Independent Incremental Learning.

Nicola Di Mauro, Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile

Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

Automatic Induction of Domain-Related Information: Learning Descriptors Type Domains.

Stefano Ferilli, Floriana Esposito, Teresa Maria Altomare Basile, Nicola Di Mauro

Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004

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

Proceedings of the 1st International Workshop on Document Image Analysis for Libraries (DIAL 2004), 2004

2003

Incremental Multistrategy Learning for Document Processing.

Floriana Esposito, Stefano Ferilli, Nicola Fanizzi, Teresa Maria Altomare Basile, Nicola Di Mauro

Appl. Artif. Intell., 2003

Theta-Subsumption and Resolution: A New Algorithm.

Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile, Floriana Esposito

Proceedings of the Foundations of Intelligent Systems, 14th International Symposium, 2003

An Exhaustive Matching Procedure for the Improvement of Learning Efficiency.

Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito, Nicola Fanizzi

Proceedings of the Inductive Logic Programming: 13th International Conference, 2003

Spaces of Theories with Ideal Refinement Operators.

Nicola Fanizzi, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile

Proceedings of the IJCAI-03, 2003

Improving Automatic Labelling through RDF Management.

Floriana Esposito, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile, Luigi Iannone, Ignazio Palmisano, Giovanni Semeraro

Proceedings of the Digital Libraries: Technology and Management of Indigenous Knowledge for Global Access, 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

Proceedings of the Web Mining: From Web to Semantic Web, 2003

Automatic Induction of Rules for Classification and Interpretation of Cultural Heritage Material.

Stefano Ferilli, Floriana Esposito, Teresa Maria Altomare Basile, Nicola Di Mauro

Proceedings of the Research and Advanced Technology for Digital Libraries, 2003

Incremental Induction of Rules for Document Image Understanding.

Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile, Floriana Esposito

Proceedings of the AI*IA 2003: Advances in Artificial Intelligence, 2003

A Complete Subsumption Algorithm.

Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile, Floriana Esposito

Proceedings of the AI*IA 2003: Advances in Artificial Intelligence, 2003

2002

Cooperation of Multiple Strategies for Automated Learning in Complex Environments.

Floriana Esposito, Stefano Ferilli, Nicola Fanizzi, Teresa Maria Altomare Basile, Nicola Di Mauro

Proceedings of the Foundations of Intelligent Systems, 13th International Symposium, 2002

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

Proceedings of the Digital Libraries: People, 2002