Nicola Di Mauro

ORCID

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 30

Top Venues

Publications

Lorenzo Loconte, Nicola Di Mauro, Robert Peharz, Antonio Vergari
How to Turn Your Knowledge Graph Embeddings into Generative Models. NeurIPS (2023)
Lorenzo Loconte, Nicola Di Mauro, Robert Peharz, Antonio Vergari
How to Turn Your Knowledge Graph Embeddings into Generative Models via Probabilistic Circuits. CoRR (2023)
Roberto Barile, Claudia d'Amato, Nicola Di Mauro, Stefano Ferilli, Nunzia Lomonte
Argumentation Ranking Semantics as a Feature for Classification - On Automatic Evaluation of Argumentative Essays. AI³@AI*IA (2022)
Nicola Di Mauro, Gennaro Gala, Marco Iannotta, Teresa M. A. Basile
Random probabilistic circuits. UAI (2021)
Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba
Multi-Channel Deep Feature Learning for Intrusion Detection. IEEE Access 8 (2020)
Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito, Stefano Ferilli, Antonio Vergari
Ensembles of density estimators for positive-unlabeled learning. J. Intell. Inf. Syst. 53 (2) (2019)
Annalisa Appice, Nicola Di Mauro, Francesco Lomuscio, Donato Malerba
Empowering Change Vector Analysis with Autoencoding in Bi-temporal Hyperspectral Images. MACLEAN@PKDD/ECML (2019)
Nicola Di Mauro, Annalisa Appice, Teresa M. A. Basile
Activity Prediction of Business Process Instances with Inception CNN Models. AI*IA (2019)
Alejandro Molina, Antonio Vergari, Karl Stelzner, Robert Peharz, Pranav Subramani, Nicola Di Mauro, Pascal Poupart, Kristian Kersting
SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks. CoRR (2019)
Annalisa Appice, Nicola Di Mauro, Donato Malerba
Leveraging Shallow Machine Learning to Predict Business Process Behavior. SCC (2019)
Giuseppina Andresini, Annalisa Appice, Nicola Di Mauro, Corrado Loglisci, Donato Malerba
Exploiting the Auto-Encoder Residual Error for Intrusion Detection. EuroS&P Workshops (2019)
Antonio Vergari, Nicola Di Mauro, Floriana Esposito
Visualizing and understanding Sum-Product Networks. Mach. Learn. 108 (4) (2019)
Antonio Vergari, Robert Peharz, Nicola Di Mauro, Alejandro Molina, Kristian Kersting, Floriana Esposito
Sum-Product Autoencoding: Encoding and Decoding Representations Using Sum-Product Networks. AAAI (2018)
Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito
Extremely Randomized CNets for Multi-label Classification. AI*IA (2018)
Nicola Di Mauro, Stefano Ferilli
Unsupervised LSTMs-based Learning for Anomaly Detection in Highway Traffic Data. ISMIS (2018)
Alejandro Molina, Antonio Vergari, Nicola Di Mauro, Sriraam Natarajan, Floriana Esposito, Kristian Kersting
Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains. AAAI (2018)
Nicola Di Mauro, Floriana Esposito, Fabrizio G. Ventola, Antonio Vergari
Sum-Product Network structure learning by efficient product nodes discovery. Intelligenza Artificiale 12 (2) (2018)
Nicola Di Mauro, Antonio Vergari, Teresa Maria Altomare Basile, Floriana Esposito
Fast and Accurate Density Estimation with Extremely Randomized Cutset Networks. ECML/PKDD (1) (2017)
Alejandro Molina, Antonio Vergari, Nicola Di Mauro, Sriraam Natarajan, Floriana Esposito, Kristian Kersting
Sum-Product Networks for Hybrid Domains. CoRR (2017)
Antonio Vergari, Robert Peharz, Nicola Di Mauro, Floriana Esposito
Encoding and Decoding Representations with Sum- and Max-Product Networks. ICLR (Workshop) (2017)
Nicola Di Mauro, Floriana Esposito, Fabrizio G. Ventola, Antonio Vergari
Alternative Variable Splitting Methods to Learn Sum-Product Networks. AI*IA (2017)
Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito, Stefano Ferilli, Antonio Vergari
Density Estimators for Positive-Unlabeled Learning. NFMCP@PKDD/ECML (2017)
Nicola Di Mauro, Antonio Vergari, Teresa Maria Altomare Basile, Fabrizio G. Ventola, Floriana Esposito
End-to-end Learning of Deep Spatio-temporal Representations for Satellite Image Time Series Classification. DC@PKDD/ECML (2017)
Nicola Di Mauro, Antonio Vergari, Floriana Esposito
Multi-Label Classification with Cutset Networks. Probabilistic Graphical Models (2016)
Antonio Vergari, Nicola Di Mauro, Floriana Esposito
Towards Representation Learning with Tractable Probabilistic Models. CoRR (2016)
Antonio Vergari, Nicola Di Mauro, Floriana Esposito
Visualizing and Understanding Sum-Product Networks. CoRR (2016)
Nicola Di Mauro, Antonio Vergari, Floriana Esposito
Learning Accurate Cutset Networks by Exploiting Decomposability. AI*IA (2015)
Nicola Di Mauro, Antonio Vergari, Teresa Maria Altomare Basile
Learning Bayesian Random Cutset Forests. ISMIS (2015)
Antonio Vergari, Nicola Di Mauro, Floriana Esposito
Simplifying, Regularizing and Strengthening Sum-Product Network Structure Learning. ECML/PKDD (2) (2015)
Nicola Di Mauro, Elena Bellodi, Fabrizio Riguzzi
Bandit-based Monte-Carlo structure learning of probabilistic logic programs. Mach. Learn. 100 (1) (2015)
Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito
Grasp and Path-Relinking for Coalition Structure Generation. Fundam. Informaticae 129 (3) (2014)
Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito
Assessing Document Relevance by Modeling Citation Networks with Probabilistic Graphs. IRCDL (2014)
Nicola Di Mauro, Claudio Taranto, Floriana Esposito
Link classification with probabilistic graphs. J. Intell. Inf. Syst. 42 (2) (2014)
Nicola Di Mauro, Floriana Esposito
Ensemble Relational Learning based on Selective Propositionalization. CoRR (2013)
Nicola Di Mauro, Floriana Esposito, Stefano Ferilli
Finding Critical Cells in Web Tables with SRL: Trying to Uncover the Devil's Tease. ICDAR (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) (2013)
Claudio Taranto, Nicola Di Mauro, Floriana Esposito
Uncertain (Multi)Graphs for Personalization Services in Digital Libraries. IRCDL (2012)
Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro
Social networks and statistical relational learning: a survey. Int. J. Soc. Netw. Min. 1 (2) (2012)
Nicola Di Mauro, Stefano Ferilli, Floriana Esposito
Learning to Recognize Critical Cells in Document Tables. IRCDL (2012)
Claudio Taranto, Nicola Di Mauro, Floriana Esposito
Learning in Probabilistic Graphs Exploiting Language-Constrained Patterns. NFMCP (2012)
Fabrizio Riguzzi, Nicola Di Mauro
Applying the information bottleneck to statistical relational learning. Mach. Learn. 86 (1) (2012)
Claudio Taranto, Nicola Di Mauro, Floriana Esposito
Uncertain Graphs meet Collaborative Filtering. IIR (2012)
Claudio Taranto, Nicola Di Mauro, Floriana Esposito
Language-Constraint Reachability Learning in Probabilistic Graphs CoRR (2012)
Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro
Markov Logic Networks for Document Layout Correction. IEA/AIE (1) (2011)
Claudio Taranto, Nicola Di Mauro, Floriana Esposito
rsLDA: A Bayesian hierarchical model for relational learning. ICDKE (2011)
Claudio Taranto, Nicola Di Mauro, Floriana Esposito
Probabilistic Inference over Image Networks. IRCDL (2011)
Floriana Esposito, Nicola Di Mauro, Claudio Taranto, Stefano Ferilli
Computational Models Enhancing Semantic Access to Digital Repositories. IRCDL (2011)
Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito
Plugging Numeric Similarity in First-Order Logic Horn Clauses Comparison. AI*IA (2011)
Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito
GRASP and path-relinking for Coalition Structure Generation CoRR (2011)
Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito
mLynx: Relational Mutual Information. ILP (Late Breaking Papers) (2011)
Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito
Optimizing Probabilistic Models for Relational Sequence Learning. ISMIS (2011)
Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile, Floriana Esposito
A Taxonomic Generalization Technique for Natural Language Processing. ISMIS (2011)
Floriana Esposito, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile, Marenglen Biba
DDTA - Digitalisation of Districts in the Textile and Clothing Sector. IRCDL (2011)
Stefano Ferilli, Marenglen Biba, Nicola Di Mauro, Teresa Maria Altomare Basile, Floriana Esposito
Merging Structural and Taxonomic Similarity for Text Retrieval Using Relational Descriptions. IRCDL (2010)
Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito
GRASP for the Coalition Structure Formation Problem CoRR (2010)
Grazia Bombini, Nicola Di Mauro, Stefano Ferilli, Floriana Esposito
Relational Sequence based Classification in Multi-agent Systems. ICAART (1) (2010)
Grazia Bombini, Nicola Di Mauro, Stefano Ferilli, Floriana Esposito
Classifying Agent Behaviour through Relational Sequential Patterns. KES-AMSTA (1) (2010)
Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito
Coalition Structure Generation with GRASP. AIMSA (2010)
Claudio Taranto, Nicola Di Mauro, Stefano Ferilli, Floriana Esposito
Approximate image color correlograms. ACM Multimedia (2010)
Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito
Feature Construction for Relational Sequence Learning CoRR (2010)
Grazia Bombini, Nicola Di Mauro, Stefano Ferilli, Floriana Esposito
Relational Sequence Clustering for Aggregating Similar Agents. ISMIS (2009)
Grazia Bombini, Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito
A Logic Programming Framework for Learning by Imitation. ICEIS (2) (2009)
Grazia Bombini, Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito
Relational Learning by Imitation. KES-AMSTA (2009)
Stefano Ferilli, Teresa Maria Altomare Basile, Marenglen Biba, Nicola Di Mauro, Floriana Esposito
A General Similarity Framework for Horn Clause Logic. Fundam. Informaticae 90 (1-2) (2009)
Stefano Ferilli, Marenglen Biba, Nicola Di Mauro, Teresa Maria Altomare Basile, Floriana Esposito
Plugging Taxonomic Similarity in First-Order Logic Horn Clauses Comparison. AI*IA (2009)
Teresa Maria Altomare Basile, Nicola Di Mauro, Stefano Ferilli, Floriana Esposito
Relational Temporal Data Mining for Wireless Sensor Networks. AI*IA (2009)
Floriana Esposito, Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli
Multi-Dimensional Relational Sequence Mining. Fundam. Informaticae 89 (1) (2008)
Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito
Stochastic Propositionalization for Efficient Multi-relational Learning. ISMIS (2008)
Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli, Floriana Esposito
Approximate Reasoning for Efficient Anytime Induction from Relational Knowledge Bases. SUM (2008)
Stefano Ferilli, Marenglen Biba, Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito
k-Nearest Neighbor Classification on First-Order Logic Descriptions. ICDM Workshops (2008)
Marenglen Biba, Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro
Multi-class Protein Fold Recognition Through a Symbolic-Statistical Framework. WILF (2007)
Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro, Marenglen Biba, Floriana Esposito
Generalization-Based Similarity for Conceptual Clustering. MCD (2007)
Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro, Marenglen Biba, Floriana Esposito
Similarity-Guided Clause Generalization. AI*IA (2007)
Marenglen Biba, Stefano Ferilli, Floriana Esposito, Nicola Di Mauro, Teresa Maria Altomare Basile
A Fast Partial Memory Approach to Incremental Learning through an Advanced Data Storage Framework. SEBD (2007)
Marenglen Biba, Floriana Esposito, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile
Unsupervised Discretization Using Kernel Density Estimation. IJCAI (2007)
Marenglen Biba, Floriana Esposito, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile
Mining Time-series Sequences of Reactions for Biologically Active Patterns in Metabolic Pathways. SEBD (2007)
Floriana Esposito, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile
Incremental Learning of First Order Logic Theories for the Automatic Annotations of Web Documents. ICDAR (2007)
Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro
Inference of abduction theories for handling incompleteness in first-order learning. Knowl. Inf. Syst. 11 (2) (2007)
Marenglen Biba, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile
A Hybrid Symbolic-Statistical Approach to Modeling Metabolic Networks. KES (1) (2007)
Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile, Floriana Esposito, Marenglen Biba
Automatic Topics Identification for Reviewer Assignment. IEA/AIE (2006)
Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro
Automatic Content-based Indexing of Digital Documents through Intelligent Processing Techniques. DIAL (2006)
Nicola Fanizzi, Luigi Iannone, Nicola Di Mauro, Floriana Esposito
Tractable Feature Generation Through Description Logics with Value and Number Restrictions. IEA/AIE (2006)
Marco Degemmis, Pasquale Lops, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile, Giovanni Semeraro
Text learning for user profiling in e-commerce. Int. J. Syst. Sci. 37 (13) (2006)
Marenglen Biba, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile
Intelligent Methodologies for Scientific Conference Management. ISMIS (2006)
Floriana Esposito, Nicola Fanizzi, Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro
Multistrategy Operators for Relational Learning and Their Cooperation. Fundam. Informaticae 69 (4) (2006)
Floriana Esposito, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile
Towards Automatic Digital Library Content-based Management. IRCDL (2006)
Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito
On the LearnAbility of Abstraction Theories from Observations for Relational Learning. ECML (2005)
Marco Degemmis, Pasquale Lops, Stefano Ferilli, Nicola Di Mauro, Teresa Maria Altomare Basile, Giovanni Semeraro
Learning User Profiles from Text in e-Commerce. ADMA (2005)
Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro
Intelligent Document Processing. ICDAR (2005)
Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro
Semantic-Based Access to Digital Document Databases. ISMIS (2005)
Stefano Ferilli, Teresa Maria Altomare Basile, Nicola Di Mauro, Floriana Esposito
Automatic Induction of Abduction and Abstraction Theories from Observations. ILP (2005)
Nicola Di Mauro, Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile
Avoiding Order Effects in Incremental Learning. AI*IA (2005)
Teresa Maria Altomare Basile, Floriana Esposito, Nicola Di Mauro, Stefano Ferilli
Handling Continuous-Valued Attributes in Incremental First-Order Rules Learning. AI*IA (2005)
Nicola Di Mauro, Teresa Maria Altomare Basile, Stefano Ferilli
GRAPE: An Expert Review Assignment Component for Scientific Conference Management Systems. IEA/AIE (2005)
Teresa Maria Altomare Basile, Stefano Ferilli, Nicola Di Mauro, Floriana Esposito
Incremental Induction of Classification Rules for Cultural Heritage Documents. IEA/AIE (2004)
Stefano Ferilli, Luigi Iannone, Giovanni Semeraro, Teresa Maria Altomare Basile, Nicola Di Mauro, Ignazio Palmisano
Automatic Annotation of Historical Paper Documents. Intelligenza Artificiale 1 (1) (2004)
Nicola Di Mauro, Floriana Esposito, Stefano Ferilli, Teresa Maria Altomare Basile
A Backtracking Strategy for Order-Independent Incremental Learning. ECAI (2004)
Stefano Ferilli, Floriana Esposito, Teresa Maria Altomare Basile, Nicola Di Mauro
Automatic Induction of Domain-Related Information: Learning Descriptors Type Domains. ECAI (2004)
Stefano Ferilli, Floriana Esposito, Teresa Maria Altomare Basile, Nicola Di Mauro
Automatic Induction of First-Order Logic Descriptors Type Domains from Observations. ILP (2004)
Floriana Esposito, Donato Malerba, Giovanni Semeraro, Stefano Ferilli, Oronzo Altamura, Teresa Maria Altomare Basile, Margherita Berardi, Michelangelo Ceci, Nicola Di Mauro
Machine Learning Methods for Automatically Processing Historical Documents: From Paper Acquisition to XML Transformation. DIAL (2004)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nicola Di Mauro