An experimental page layout recognition system for office document automatic classification: an integrated approach for inductive generalization. - Floriana Esposito; Donato Malerba; Giovanni Semeraro; Enrico Annese; Giovanna Scafuro (ICPR (1), 1990)

A Distance Measure for Decision Making in Uncertain Domains. - Floriana Esposito; Donato Malerba; Giovanni Semeraro (IPMU, 1990)

Flexible Matching for Noisy Structural Descriptions. - Floriana Esposito; Donato Malerba; Giovanni Semeraro (IJCAI, 1991)

Classification in Noisy Environments Using a Distance Measure Between Structural Symbolic Descriptions. - Floriana Esposito; Donato Malerba; Giovanni Semeraro (IEEE Trans. Pattern Anal. Mach. Intell., 1992)

Negation as a Specializing Operator. - Floriana Esposito; Donato Malerba; Giovanni Semeraro (AI*IA, 1993)

Decision Tree Pruning as a Search in the State Space. - Floriana Esposito; Donato Malerba; Giovanni Semeraro (ECML, 1993)

Automated acquisition of rules for document understanding. - Floriana Esposito; Donato Malerba; Giovanni Semeraro (ICDAR, 1993)

Machine Learning Techniques for Knowledge Acquisition and Refinement. - Floriana Esposito; Donato Malerba; Giovanni Semeraro (SEKE, 1993)

An Analytic and Empirical Comparison of Two Methods for Discovering Probabilistic Causal Relationships. - Donato Malerba; Giovanni Semeraro; Floriana Esposito (ECML, 1994)

Traps and Pitfalls when Learning Logical Definitions from Relations. - Floriana Esposito; Donato Malerba; Giovanni Semeraro (ISMIS, 1994)

Avoiding Non-Termination when Learning Logical Programs: A Case Study with FOIL and FOCL. - Giovanni Semeraro; Floriana Esposito; Donato Malerba; Clifford Brunk; Michael J. Pazzani (LOPSTR, 1994)

multistrategy learning for document recognition. - Floriana Esposito; Donato Malerba; Giovanni Semeraro (Appl. Artif. Intell., 1994)

Document Understanding. - Donato Malerba (UCI Machine Learning Repository, 1994)

Downward Refinement of Hierarchical Datalog Theories. - Floriana Esposito; Nicola Fanizzi; Donato Malerba; Giovanni Semeraro (GULP-PRODE, 1995)

Revision of Logical Theories. - Giovanni Semeraro; Floriana Esposito; Nicola Fanizzi; Donato Malerba (AI*IA, 1995)

A Further Comparison of Simplification Methods for Decision-Tree Induction. - Donato Malerba; Floriana Esposito; Giovanni Semeraro (AISTATS, 1995)

Simplifying Decision Trees by Pruning and Grafting: New Results (Extended Abstract). - Floriana Esposito; Donato Malerba; Giovanni Semeraro (ECML, 1995)

A knowledge-based approach to the layout analysis. - Floriana Esposito; Donato Malerba; Giovanni Semeraro (ICDAR, 1995)

Ideal Refinement of Datalog Programs. - Giovanni Semeraro; Floriana Esposito; Donato Malerba (LOPSTR, 1995)

Page Blocks Classification. - Donato Malerba (UCI Machine Learning Repository, 1995)

Locally Finite, Proper and Complete Operators for Refining Datalog Programs. - Floriana Esposito; Angela Laterza; Donato Malerba; Giovanni Semeraro (ISMIS, 1996)

Handling Continuous Data in Top-Down Induction of First-Order Rules. - Donato Malerba; Floriana Esposito; Giovanni Semeraro; Sergio Caggese (AI*IA, 1997)

Processing Paper Documents with WISDOM. - Donato Malerba; Floriana Esposito; Giovanni Semeraro; Luca de Filippis (AI*IA, 1997)

IDL: A Prototypical Intelligent Digital Library Service. - Giovanni Semeraro; Floriana Esposito; Donato Malerba; Nicola Fanizzi; Stefano Ferilli; Pasquale Lops (AI*IA, 1997)

Inductive Inference of First-Order Models from Numeric-Symbolic Data. - Floriana Esposito; Sergio Caggese; Donato Malerba; Giovanni Semeraro (AISTATS, 1997)

Machine Learning + On-line Libraries = IDL. - Giovanni Semeraro; Floriana Esposito; Donato Malerba; Nicola Fanizzi; Stefano Ferilli (ECDL, 1997)

Information Capture and Semantic Indexing of Digital Libraries through Machine Learning Techniques. - Floriana Esposito; Donato Malerba; Giovanni Semeraro; Cesare Daniele Antifora; Gioacchino de Gennaro (ICDAR, 1997)

Knowledge Revision for Document Understanding. - Floriana Esposito; Donato Malerba; Giovanni Semeraro; Stefano Ferilli (ISMIS, 1997)

A Logic Framework for the Incremental Inductive Synthesis of Datalog Theories. - Giovanni Semeraro; Floriana Esposito; Donato Malerba; Nicola Fanizzi; Stefano Ferilli (LOPSTR, 1997)

Machine Learning for Map Interpretation: An Intelligent Tool for Environmental Planning. - Floriana Esposito; Antonietta Lanza; Donato Malerba; Giovanni Semeraro (Appl. Artif. Intell., 1997)

Discovering Causal Rules in Relational Databases. - Floriana Esposito; Donato Malerba; Vincenza Ripa; Giovanni Semeraro (Appl. Artif. Intell., 1997)

A Comparative Analysis of Methods for Pruning Decision Trees. - Floriana Esposito; Donato Malerba; Giovanni Semeraro (IEEE Trans. Pattern Anal. Mach. Intell., 1997)

Learning Recursive Theories with ATRE. - Donato Malerba; Floriana Esposito; Francesca A. Lisi (ECAI, 1998)

Building Metaphors for Supporting User Interaction with Multimedia Databases. - Maria Francesca Costabile; Donato Malerba; Matthias L. Hemmje; Aldo Paradiso (VDB, 1998)

Metaphors for Supporting User Interaction with Multimedia Databases - a demonstration. - Maria Francesca Costabile; Donato Malerba; Matthias L. Hemmje; Aldo Paradiso (VDB, 1998)

Adding Machine Learning and Knowledge Intensive Techniques to a Digital Library Service. - Floriana Esposito; Donato Malerba; Giovanni Semeraro; Nicola Fanizzi; Stefano Ferilli (Int. J. Digit. Libr., 1998)

A Machine Learning Approach to Web Mining. - Floriana Esposito; Donato Malerba; Luigi Di Pace; Pietro Leo (AI*IA, 1999)

WISDOM++: An Interactive and Adaptive Document Analysis System. - Oronzo Altamura; Floriana Esposito; Donato Malerba (ICDAR, 1999)

Machine Learning for Intelligent Document Processing: The WISDOM System. - Floriana Esposito; Donato Malerba; Francesca A. Lisi (ISMIS, 1999)

Symbolic Learning Techniques in Paper Document Processing. - Oronzo Altamura; Floriana Esposito; Francesca A. Lisi; Donato Malerba (MLDM, 1999)

Induction of Recursive Theories in the Normal ILP Setting: Issues and Solutions. - Floriana Esposito; Donato Malerba; Francesca A. Lisi (ILP, 2000)

Discovering Geographic Knowledge: The INGENS System. - Donato Malerba; Floriana Esposito; Antonietta Lanza; Francesca A. Lisi (ISMIS, 2000)

Machine Learning for Intelligent Processing of Printed Documents. - Floriana Esposito; Donato Malerba; Francesca A. Lisi (J. Intell. Inf. Syst., 2000)

Stepwise Induction of Model Trees. - Donato Malerba; Annalisa Appice; Antonia Bellino; Michelangelo Ceci; Domenico Pallotta (AI*IA, 2001)

Multiple Predicate Learning for Document Image Understanding. - Floriana Esposito; Donato Malerba; Francesca A. Lisi (FLAIRS, 2001)

A Logical Framework for Frequent Pattern Discovery in Spatial Data. - Donato Malerba; Floriana Esposito; Francesca A. Lisi (FLAIRS, 2001)

Generating Logic Descriptions for the Automated Interpretation of Topographic Maps. - Antonietta Lanza; Donato Malerba; Francesca A. Lisi; Annalisa Appice; Michelangelo Ceci (GREC, 2001)

Automated Discovery of Dependencies Between Logical Components in Document Image Understanding. - Donato Malerba; Floriana Esposito; Francesca A. Lisi; Oronzo Altamura (ICDAR, 2001)

Discovering Associations between Spatial Objects: An ILP Application. - Donato Malerba; Francesca A. Lisi (ILP, 2001)

First-Order Rule Induction for the Recognition of Morphological Patterns in Topographic Maps. - Donato Malerba; Floriana Esposito; Antonietta Lanza; Francesca A. Lisi (MLDM, 2001)

Web Content Mining with WebClass. - Francesca Esposito; Donato Malerba; Pierpaolo Golia; Luigi Mastrapasqua; Nunzio Mastrapasqua (SEBD, 2001)

Mining Association Rules in Spatial Databases: A Logic-based Computational Method. - Donato Malerba; Floriana Esposito; Francesca A. Lisi (SEBD, 2001)

Machine Learning in Computer Vision (Editorial). - Floriana Esposito; Donato Malerba (Appl. Artif. Intell., 2001)

Inductive learning from numerical and symbolic data: An integrated framework. - Floriana Esposito; Donato Malerba; Vittorio Marengo (Intell. Data Anal., 2001)

Transforming paper documents into XML format with WISDOM++. - Oronzo Altamura; Floriana Esposito; Donato Malerba (Int. J. Document Anal. Recognit., 2001)

Mining HTML Pages to Support Document Sharing in a Cooperative System. - Donato Malerba; Floriana Esposito; Michelangelo Ceci (EDBT Workshops, 2002)

Trading-Off Local versus Global Effects of Regression Nodes in Model Trees. - Donato Malerba; Annalisa Appice; Michelangelo Ceci; Marianna Monopoli (ISMIS, 2002)

Adaptive Layout Analysis of Document Images. - Donato Malerba; Floriana Esposito; Oronzo Altamura (ISMIS, 2002)

KDB2000: Uno strumento per la scoperta della conoscenza. - Annalisa Appice; Michelangelo Ceci; Donato Malerba (SEBD, 2002)

Efficient Discovery of Multiple-level Patterns. - Francesca A. Lisi; Donato Malerba (SEBD, 2002)

Mining Classification and Association Rules in Geographical Data with SDMOQL. - Donato Malerba; Annalisa Appice; Michelangelo Ceci; Nicola Vacca (SEBD, 2002)

Estrazione e matching di oggetti simbolici da database relazionali. - Donato Malerba; Francesca Esposito; Marianna Monopoli (SEBD, 2002)

Multi-relational Structural Bayesian Classifier. - Michelangelo Ceci; Annalisa Appice; Donato Malerba; Vincenzo Colonna (AI*IA, 2003)

Bridging the Gap between Horn Clausal Logic and Description Logics in Inductive Learning. - Francesca A. Lisi; Donato Malerba (AI*IA, 2003)

XML and Knowledge Technologies for Semantic-Based Indexing of Paper Documents. - Donato Malerba; Michelangelo Ceci; Margherita Berardi (DEXA, 2003)

Hierarchical Classification of HTML Documents with WebClassII. - Michelangelo Ceci; Donato Malerba (ECIR, 2003)

Correcting the Document Layout: A Machine Learning Approach. - Donato Malerba; Floriana Esposito; Oronzo Altamura; Michelangelo Ceci; Margherita Berardi (ICDAR, 2003)

Learning Logic Programs for Layout Analysis Correction. - Margherita Berardi; Michelangelo Ceci; Floriana Esposito; Donato Malerba (ICML, 2003)

Automated Classification of Web Documents into a Hierarchy of Categories. - Michelangelo Ceci; Floriana Esposito; Michele Lapi; Donato Malerba (IIS, 2003)

Mining Model Trees: A Multi-relational Approach. - Annalisa Appice; Michelangelo Ceci; Donato Malerba (ILP, 2003)

Ideal Refinement of Descriptions in AL-Log. - Francesca A. Lisi; Donato Malerba (ILP, 2003)

Comparing Simplification Methods for Model Trees with Regression and Splitting Nodes. - Michelangelo Ceci; Annalisa Appice; Donato Malerba (ISMIS, 2003)

MR-SMOTI: A Data Mining System for Regression Tasks Tightly-Coupled with a Relational Database. - Annalisa Appice; Michelangelo Ceci; Donato Malerba (KDID, 2003)

Simplification Methods for Model Trees with Regression and Splitting Nodes. - Michelangelo Ceci; Annalisa Appice; Donato Malerba (MLDM, 2003)

Mr-SBC: A Multi-relational Naïve Bayes Classifier. - Michelangelo Ceci; Annalisa Appice; Donato Malerba (PKDD, 2003)

Mining Model Trees with Regression and Splitting Nodes. - Annalisa Appice; Michelangelo Ceci; Floriana Esposito; Donato Malerba (SEBD, 2003)

Stepwise Model Tree Induction in a Multi-Relational Framework. - Annalisa Appice; Michelangelo Ceci; Donato Malerba; D. Sacchi (SEBD, 2003)

Towards Object-Relational Data Mining. - Francesca A. Lisi; Donato Malerba (SEBD, 2003)

Learning Recursive Theories in the Normal ILP Setting. - Donato Malerba (Fundam. Informaticae, 2003)

Discovery of spatial association rules in geo-referenced census data: A relational mining approach. - Annalisa Appice; Michelangelo Ceci; Antonietta Lanza; Francesca A. Lisi; Donato Malerba (Intell. Data Anal., 2003)

Guest-editorial: Mining official data. - Paula Brito; Donato Malerba (Intell. Data Anal., 2003)

Empowering a GIS with inductive learning capabilities: the case of INGENS. - Donato Malerba; Floriana Esposito; Antonietta Lanza; Francesca A. Lisi; Annalisa Appice (Comput. Environ. Urban Syst., 2003)

Editor's foreword. - Maria Francesca Costabile; Donato Malerba (J. Vis. Lang. Comput., 2003)

A Data Mining Query Language for Knowledge Discovery in a Geographical Information System. - Donato Malerba; Annalisa Appice; Michelangelo Ceci (Database Support for Data Mining Applications, 2004)

An Integrated Approach for Automatic Semantic Structure Extraction in Document Images. - Margherita Berardi; Michele Lapi; Donato Malerba (Document Analysis Systems, 2004)

A Data Mining Approach to PubMed Query Refinement. - Margherita Berardi; Michele Lapi; Pietro Leo; Donato Malerba; Caterina Marinelli; Gaetano Scioscia (DEXA Workshops, 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 (DIAL, 2004)

On the Effect of Caching in Recursive Theory Learning. - Margherita Berardi; Antonio Varlaro; Donato Malerba (ILP, 2004)

Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach. - Michelangelo Ceci; Annalisa Appice; Donato Malerba (PKDD, 2004)

Mining interesting spatial association rules: two case studies. - Annalisa Appice; Margherita Berardi; Michelangelo Ceci; Michele Lapi; Donato Malerba; Antonio Turi (SEBD, 2004)

Inducing Multi-Level Association Rules from Multiple Relations. - Francesca A. Lisi; Donato Malerba (Mach. Learn., 2004)

Top-Down Induction of Model Trees with Regression and Splitting Nodes. - Donato Malerba; Floriana Esposito; Michelangelo Ceci; Annalisa Appice (IEEE Trans. Pattern Anal. Mach. Intell., 2004)

Mining Relational Association Rules for Propositional Classification. - Annalisa Appice; Michelangelo Ceci; Donato Malerba (AI*IA, 2005)

Relational Learning: Statistical Approach Versus Logical Approach in Document Image Understanding. - Michelangelo Ceci; Margherita Berardi; Donato Malerba (AI*IA, 2005)

A color-based layout analysis to process censorship cards of film archives. - Margherita Berardi; Oronzo Altamura; Michelangelo Ceci; Donato Malerba (ICDAR, 2005)

Relational Learning techniques for Document Image Understanding: Comparing Statistical and Logical approaches. - Michelangelo Ceci; Margherita Berardi; Donato Malerba (ICDAR, 2005)

Spatial Clustering of Structured Objects. - Donato Malerba; Annalisa Appice; Antonio Varlaro; Antonietta Lanza (ILP, 2005)

Mining and Filtering Multi-level Spatial Association Rules with ARES. - Annalisa Appice; Margherita Berardi; Michelangelo Ceci; Donato Malerba (ISMIS, 2005)

Learning the Daily Model of Network Traffic. - Costantina Caruso; Donato Malerba; Davide Papagni (ISMIS, 2005)

Mining Model Trees from Spatial Data. - Donato Malerba; Michelangelo Ceci; Annalisa Appice (PKDD, 2005)

Propositionalization Through Relational Association Rules Mining. - Michelangelo Ceci; Annalisa Appice; Donato Malerba (SEBD, 2005)

Relational Clustering with Discrete Spatial Structure. - Antonio Varlaro; Annalisa Appice; Antonietta Lanza; Donato Malerba; Giuseppe Guarnieri (SEBD, 2005)

Mining Information Extraction Models for HmtDB annotation. - Margherita Berardi; Donato Malerba; Marcella Attimonelli (ICDM Workshops, 2006)

Learning Recursive Patterns for Biomedical Information Extraction. - Margherita Berardi; Donato Malerba (ILP, 2006)

Classifying Aggregated Data: a Symbolic Data Analysis Approach. - Annalisa Appice; Floriana Esposito; Donato Malerba (SEBD, 2006)

Relational Data Mining Techniques for Historical Document Processing. - Michelangelo Ceci; Donato Malerba (SEBD, 2006)

Classification of symbolic objects: A lazy learning approach. - Annalisa Appice; Claudia d'Amato; Floriana Esposito; Donato Malerba (Intell. Data Anal., 2006)

Mining spatio-temporal data. - Gennady L. Andrienko; Donato Malerba; Michael May 001; Maguelonne Teisseire (J. Intell. Inf. Syst., 2006)

Discovering Relational Emerging Patterns. - Annalisa Appice; Michelangelo Ceci; Carlo Malgieri; Donato Malerba (AI*IA, 2007)

Learning to Order: A Relational Approach. - Donato Malerba; Michelangelo Ceci (MCD, 2007)

A Data Mining Approach to Reading Order Detection. - Michelangelo Ceci; Margherita Berardi; G. Porcelli; Donato Malerba (ICDAR, 2007)

An Integrated Platform for Spatial Data Mining within a GIS Environment. - Annalisa Appice; Antonietta Lanza; Donato Malerba (ICDE Workshops, 2007)

A Data Mining Methodology for Anomaly Detection in Network Data. - Costantina Caruso; Donato Malerba (KES (2), 2007)

Transductive Learning from Relational Data. - Michelangelo Ceci; Annalisa Appice; Nicola Barile; Donato Malerba (MLDM, 2007)

Discovering Emerging Patterns in Spatial Databases: A Multi-relational Approach. - Michelangelo Ceci; Annalisa Appice; Donato Malerba (PKDD, 2007)

Relational Data Mining and ILP for Document Image Understanding. - Michelangelo Ceci; Margherita Berardi; Donato Malerba (Appl. Artif. Intell., 2007)

Introduction to the special issue. - Floriana Esposito; Donato Malerba; Giovanni Semeraro (Appl. Intell., 2007)

Using colour information to understand censorship cards of film archives. - Oronzo Altamura; Margherita Berardi; Michelangelo Ceci; Donato Malerba; Antonio Varlaro (Int. J. Document Anal. Recognit., 2007)

Classifying web documents in a hierarchy of categories: a comprehensive study. - Michelangelo Ceci; Donato Malerba (J. Intell. Inf. Syst., 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)

Emerging Pattern Based Classification in Relational Data Mining. - Michelangelo Ceci; Annalisa Appice; Donato Malerba (DEXA, 2008)

A Grid-Based Multi-relational Approach to Process Mining. - Antonio Turi; Annalisa Appice; Michelangelo Ceci; Donato Malerba (DEXA, 2008)

Geographic Knowledge Discovery in INGENS: An Inductive Database Perspective. - Annalisa Appice; Anna Ciampi; Antonietta Lanza; Donato Malerba; Antonella Rapolla; Luisa Vetturi (ICDM Workshops, 2008)

A KDD Platform Based on the Application Service Provider Paradigm. - Fabio Fumarola; Eliana Salvemini; Donato Malerba (ICDM Workshops, 2008)

Discovering Triggering Events from Longitudinal Data. - Corrado Loglisci; Donato Malerba (ICDM Workshops, 2008)

Top-Down Induction of Relational Model Trees in Multi-instance Learning. - Annalisa Appice; Michelangelo Ceci; Donato Malerba (ILP, 2008)

Stepwise Induction of Logistic Model Trees. - Annalisa Appice; Michelangelo Ceci; Donato Malerba; Savino Saponara (ISMIS, 2008)

Discovering Emerging Patterns for Anomaly Detection in Network Connection Data. - Michelangelo Ceci; Annalisa Appice; Costantina Caruso; Donato Malerba (ISMIS, 2008)

Discovering Explanations from Longitudinal Data. - Corrado Loglisci; Donato Malerba (ISMIS, 2008)

Relational Classification based on Emerging Patterns. - Michelangelo Ceci; Annalisa Appice; Lucrezia Macchia; Donato Malerba (SEBD, 2008)

KD-ASP - A distributed collaborative data mining platform. - Fabio Fumarola; Eliana Salvemini; Donato Malerba (SEBD, 2008)

Distributed Discovery of Multi-Level Approximate Process Patterns. - Antonio Turi; Annalisa Appice; Michelangelo Ceci; Donato Malerba (SEBD, 2008)

A relational perspective on spatial data mining. - Donato Malerba (Int. J. Data Min. Model. Manag., 2008)

Machine Learning for Reading Order Detection in Document Image Understanding. - Donato Malerba; Michelangelo Ceci; Margherita Berardi (Machine Learning in Document Analysis and Recognition, 2008)

Approximate Frequent Itemset Discovery from Data Stream. - Anna Ciampi; Fabio Fumarola; Annalisa Appice; Donato Malerba (AI*IA, 2009)

A Temporal Data Mining Approach for Discovering Knowledge on the Changes of the Patient's Physiology. - Corrado Loglisci; Donato Malerba (AIME, 2009)

An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting. - Annalisa Appice; Michelangelo Ceci; Donato Malerba (Discovery Science, 2009)

A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams. - Fabio Fumarola; Anna Ciampi; Annalisa Appice; Donato Malerba (Discovery Science, 2009)

Novelty Detection from Evolving Complex Data Streams with Time Windows. - Michelangelo Ceci; Annalisa Appice; Corrado Loglisci; Costantina Caruso; Fabio Fumarola; Donato Malerba (ISMIS, 2009)

A Knowledge-Based Framework for Information Extraction from Clinical Practice Guidelines. - Corrado Loglisci; Michelangelo Ceci; Donato Malerba (ISMIS, 2009)

Relational Frequent Patterns Mining for Novelty Detection from Data Streams. - Michelangelo Ceci; Annalisa Appice; Corrado Loglisci; Costantina Caruso; Fabio Fumarola; Carmine Valente; Donato Malerba (MLDM, 2009)

Mining Multiple Level Non-redundant Association Rules through Two-Fold Pruning of Redundancies. - Corrado Loglisci; Donato Malerba (MLDM, 2009)

A Relational Approach to Novelty Detection in Data Streams. - Annalisa Appice; Michelangelo Ceci; Corrado Loglisci; Costantina Caruso; Fabio Fumarola; Michele Todaro; Donato Malerba (SEBD, 2009)

Spatial Regression in the Transductive Setting. - Annalisa Appice; Michelangelo Ceci; Vincenzo Rizzi; Marco Romano; Donato Malerba (SEBD, 2009)

Mining preference relations to rank complex object. - Michelangelo Ceci; Annalisa Appice; Giuseppe De Giosa; Gianluigi Dileo; Alessandro Lallo; Donato Malerba (SEBD, 2009)

Mining Frequent Patterns of Biological Spaced Motifs. - Corrado Loglisci; Eliana Salvemini; Antonio Turi; Giorgio Grillo; Donato Malerba; Domenica D'Elia (SEBD, 2009)

Computational annotation of UTR cis-regulatory modules through Frequent Pattern Mining. - Antonio Turi; Corrado Loglisci; Eliana Salvemini; Giorgio Grillo; Donato Malerba; Domenica D'Elia (BMC Bioinform., 2009)

A relational approach to probabilistic classification in a transductive setting. - Donato Malerba; Michelangelo Ceci; Annalisa Appice (Eng. Appl. Artif. Intell., 2009)

Mapping web pages to database records via link paths. - Tim Weninger; Fabio Fumarola; Jiawei Han 001; Donato Malerba (CIKM, 2010)

A Relational Approach for Discovering Frequent Patterns with Disjunctions. - Corrado Loglisci; Michelangelo Ceci; Donato Malerba (DaWak, 2010)

Time-Slice Density Estimation for Semantic-Based Tourist Destination Suggestion. - Michelangelo Ceci; Annalisa Appice; Donato Malerba (ECAI, 2010)

Mining Physiological Data for Discovering Temporal Patterns on Disease Stages. - Corrado Loglisci; Michelangelo Ceci; Donato Malerba (ECAI, 2010)

Online and Offline Trend Cluster Discovery in Spatially Distributed Data Streams. - Anna Ciampi; Annalisa Appice; Donato Malerba (MSM/MUSE, 2010)

Summarization for Geographically Distributed Data Streams. - Anna Ciampi; Annalisa Appice; Donato Malerba (KES (3), 2010)

Relational Learning of Disjunctive Patterns in Spatial Networks. - Corrado Loglisci; Michelangelo Ceci; Donato Malerba (NyNaK, 2010)

Transductive learning for spatial regression with co-training. - Annalisa Appice; Michelangelo Ceci; Donato Malerba (SAC, 2010)

Complex objects ranking: a relational data mining approach. - Michelangelo Ceci; Annalisa Appice; Corrado Loglisci; Donato Malerba (SAC, 2010)

Suggesting Tourist Destinations by means of Time-Slice Density Estimation. - Michelangelo Ceci; Annalisa Appice; Donato Malerba; Nicola Schirone; Nicola Davide Traversa; Valerio Valrosso (SEBD, 2010)

Clustering Spatio-Temporal Data Streams. - Anna Ciampi; Annalisa Appice; Donato Malerba; Giuseppe Saponaro; Domenico Triglione (SEBD, 2010)

Discovering Temporal Patterns of Complex Events in Biosignal Data. - Corrado Loglisci; Michelangelo Ceci; Donato Malerba (SEBD, 2010)

Unexpected results in automatic list extraction on the web. - Tim Weninger; Fabio Fumarola; Rick Barber; Jiawei Han 001; Donato Malerba (SIGKDD Explor., 2010)

Transductive Learning for Spatial Data Classification. - Michelangelo Ceci; Annalisa Appice; Donato Malerba (Advances in Machine Learning I, 2010)

Mining Spatial Association Rules for Composite Motif Discovery. - Michelangelo Ceci; Corrado Loglisci; Eliana Salvemini; Domenica D'Elia; Donato Malerba (Mathematical Approaches to Polymer Sequence Analysis and Related Problems, 2011)

Process Mining Manifesto. - Wil M. P. van der Aalst; Arya Adriansyah; Ana Karla Alves de Medeiros; Franco Arcieri; Thomas Baier 001; Tobias Blickle; R. P. Jagadeesh Chandra Bose; Peter van den Brand; Ronald Brandtjen; Joos C. A. M. Buijs; Andrea Burattin; Josep Carmona 001; et al. (Business Process Management Workshops (1), 2011)

Trend cluster based compression of geographically distributed data streams. - Anna Ciampi; Annalisa Appice; Donato Malerba; Pietro Guccione (CIDM, 2011)

Discovering process models through relational disjunctive patterns mining. - Corrado Loglisci; Michelangelo Ceci; Annalisa Appice; Donato Malerba (CIDM, 2011)

A Temporal Data Mining Framework for Analyzing Longitudinal Data. - Corrado Loglisci; Michelangelo Ceci; Donato Malerba (DEXA (2), 2011)

Global and Local Spatial Autocorrelation in Predictive Clustering Trees. - Daniela Stojanova; Michelangelo Ceci; Annalisa Appice; Donato Malerba; Saso Dzeroski (Discovery Science, 2011)

Extracting General Lists from Web Documents: A Hybrid Approach. - Fabio Fumarola; Tim Weninger; Rick Barber; Donato Malerba; Jiawei Han 001 (IEA/AIE (1), 2011)

Project D.A.M.A.: Document Acquisition, Management and Archiving. - Michelangelo Ceci; Corrado Loglisci; Stefano Ferilli; Donato Malerba (IRCDL, 2011)

MBlab: Molecular Biodiversity Laboratory. - Corrado Loglisci; Annalisa Appice; Michelangelo Ceci; Donato Malerba; Floriana Esposito (IRCDL, 2011)

Space-Time Roll-up and Drill-down into Geo-Trend Stream Cubes. - Anna Ciampi; Annalisa Appice; Donato Malerba; Angelo Muolo (ISMIS, 2011)

Relational Mining in Spatial Domains: Accomplishments and Challenges. - Donato Malerba; Michelangelo Ceci; Annalisa Appice (ISMIS, 2011)

FAST Sequence Mining Based on Sparse Id-Lists. - Eliana Salvemini; Fabio Fumarola; Donato Malerba; Jiawei Han 001 (ISMIS, 2011)

OLAP over Continuous Domains via Density-Based Hierarchical Clustering. - Michelangelo Ceci; Alfredo Cuzzocrea; Donato Malerba (KES (2), 2011)

Supporting Roll-Up and Drill-Down Operations over OLAP Data Cubes with Continuous Dimensions via Density-Based Hierarchical Clustering. - Michelangelo Ceci; Alfredo Cuzzocrea; Donato Malerba (SEBD, 2011)

Relational Disjunctive Patterns Mining for Discovering Frequent Variants in Process Models. - Corrado Loglisci; Michelangelo Ceci; Annalisa Appice; Donato Malerba (SEBD, 2011)

Learning and Transferring Geographically Weighted Regression Trees across Time. - Annalisa Appice; Michelangelo Ceci; Donato Malerba; Antonietta Lanza (MSM/MUSE, 2011)

Trend Cluster Based Kriging Interpolation in Sensor Data Networks. - Pietro Guccione; Annalisa Appice; Anna Ciampi; Donato Malerba (MSM/MUSE, 2011)

HyLiEn: a hybrid approach to general list extraction on the web. - Fabio Fumarola; Tim Weninger; Rick Barber; Donato Malerba; Jiawei Han 001 (WWW (Companion Volume), 2011)

Growing parallel paths for entity-page discovery. - Tim Weninger; Fabio Fumarola; Cindy Xide Lin; Rick Barber; Jiawei Han 001; Donato Malerba (WWW (Companion Volume), 2011)

A parallel, distributed algorithm for relational frequent pattern discovery from very large data sets. - Annalisa Appice; Michelangelo Ceci; Antonio Turi; Donato Malerba (Intell. Data Anal., 2011)

Transductive Learning of Logical Structures from Document Images. - Michelangelo Ceci; Corrado Loglisci; Donato Malerba (Learning Structure and Schemas from Documents, 2011)

Continuously Mining Sliding Window Trend Clusters in a Sensor Network. - Annalisa Appice; Donato Malerba; Anna Ciampi (DEXA (2), 2012)

An Unsupervised Framework for Topological Relations Extraction from Geographic Documents. - Corrado Loglisci; Dino Ienco; Mathieu Roche; Maguelonne Teisseire; Donato Malerba (DEXA (2), 2012)

Learning to Rank from Concept-Drifting Network Data Streams. - Lucrezia Macchia; Michelangelo Ceci; Donato Malerba (DEXA (1), 2012)

Hierarchical and Overlapping Co-Clustering of mRNA: miRNA Interactions. - Gianvito Pio; Michelangelo Ceci; Corrado Loglisci; Domenica D'Elia; Donato Malerba (ECAI, 2012)

Toward Geographic Information Harvesting: Extraction of Spatial Relational Facts from Web Documents. - Corrado Loglisci; Dino Ienco; Mathieu Roche; Maguelonne Teisseire; Donato Malerba (ICDM Workshops, 2012)

Document Image Understanding through Iterative Transductive Learning. - Michelangelo Ceci; Corrado Loglisci; Lucrezia Macchia; Donato Malerba; Luciano Quercia (IRCDL, 2012)

Transductive Relational Classification in the Co-training Paradigm. - Michelangelo Ceci; Annalisa Appice; Herna L. Viktor; Donato Malerba; Eric Paquet; Hongyu Guo (MLDM, 2012)

Mining Ranking Models from Dynamic Network Data. - Lucrezia Macchia; Michelangelo Ceci; Donato Malerba (MLDM, 2012)

Using Geographic Cost Functions to Discover Vessel Itineraries from AIS Messages. - Annalisa Appice; Donato Malerba; Antonietta Lanza (MSM/MUSE, 2012)

Discovering Evolution Chains in Dynamic Networks. - Corrado Loglisci; Michelangelo Ceci; Donato Malerba (NFMCP, 2012)

Trend cluster based interpolation everywhere in a sensor network. - Pietro Guccione; Anna Ciampi; Annalisa Appice; Donato Malerba; Angelo Muolo (SAC, 2012)

Mining Temporal Evolution of Criminal Behaviors. - Gianvito Pio; Michelangelo Ceci; Donato Malerba (SEBD, 2012)

Integrating Trend Clusters for Spatio-temporal Interpolation of Missing Sensor Data. - Anna Ciampi; Annalisa Appice; Pietro Guccione; Donato Malerba (W2GIS, 2012)

Guest Editors' Introduction: special issue of selected papers from ECML PKDD 2011. - Dimitrios Gunopulos; Donato Malerba; Michalis Vazirgiannis (Data Min. Knowl. Discov., 2012)

Enhancing Regression Models with Spatio-temporal Indicator Additions. - Annalisa Appice; Sonja Pravilovic; Donato Malerba; Antonietta Lanza (AI*IA, 2013)

An Intelligent Technique for Forecasting Spatially Correlated Time Series. - Sonja Pravilovic; Annalisa Appice; Donato Malerba (AI*IA, 2013)

Predictive Regional Trees to Supplement Geo-Physical Random Fields. - Annalisa Appice; Sonja Pravilovic; Donato Malerba (CORES, 2013)

Learning Hierarchical Multi-label Classification Trees from Network Data. - Daniela Stojanova; Michelangelo Ceci; Donato Malerba; Saso Dzeroski (Discovery Science, 2013)

EDB: Knowledge Technologies for Ancient Greek and Latin Epigraphy. - Fabio Fumarola; Gianvito Pio; Antonio E. Felle; Donato Malerba; Michelangelo Ceci (IRCDL, 2013)

Process Mining to Forecast the Future of Running Cases. - Sonja Pravilovic; Annalisa Appice; Donato Malerba (NFMCP, 2013)

HOCCLUS2: A Biclustering Algorithm for the Discovery of miRNA: mRNA regulatory modules. - Gianvito Pio; Michelangelo Ceci; Domenica D'Elia; Corrado Loglisci; Donato Malerba (SEBD, 2013)

A Novel Biclustering Algorithm for the Discovery of Meaningful Biological Correlations between microRNAs and their Target Genes. - Gianvito Pio; Michelangelo Ceci; Domenica D'Elia; Corrado Loglisci; Donato Malerba (BMC Bioinform., 2013)

Using PPI network autocorrelation in hierarchical multi-label classification trees for gene function prediction. - Daniela Stojanova; Michelangelo Ceci; Donato Malerba; Saso Dzeroski (BMC Bioinform., 2013)

Dealing with spatial autocorrelation when learning predictive clustering trees. - Daniela Stojanova; Michelangelo Ceci; Annalisa Appice; Donato Malerba; Saso Dzeroski (Ecol. Informatics, 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)

Using trend clusters for spatiotemporal interpolation of missing data in a sensor network. - Annalisa Appice; Anna Ciampi; Donato Malerba; Pietro Guccione (J. Spatial Inf. Sci., 2013)

Data Mining Techniques in Sensor Networks - Summarization, Interpolation and Surveillance. - Annalisa Appice; Anna Ciampi; Fabio Fumarola; Donato Malerba (Springer, 2014)

Completion Time and Next Activity Prediction of Processes Using Sequential Pattern Mining. - Michelangelo Ceci; Pasqua Fabiana Lanotte; Fabio Fumarola; Dario Pietro Cavallo; Donato Malerba (Discovery Science, 2014)

Wind Power Forecasting Using Time Series Cluster Analysis. - Sonja Pravilovic; Annalisa Appice; Antonietta Lanza; Donato Malerba (Discovery Science, 2014)

Mining Trajectory Data for Discovering Communities of Moving Objects. - Corrado Loglisci; Donato Malerba; Apostolos N. Papadopoulos (EDBT/ICDT Workshops, 2014)

A parallel algorithm for approximate frequent itemset mining using MapReduce. - Fabio Fumarola; Donato Malerba (HPCS, 2014)

Innovative power operating center management exploiting big data techniques. - Michelangelo Ceci; Nunziato Cassavia; Roberto Corizzo; Pietro Dicosta; Donato Malerba; Gaspare Maria; Elio Masciari; Camillo Pastura (IDEAS, 2014)

A Business Intelligence Solution for Monitoring Efficiency of Photovoltaic Power Plants. - Fabio Fumarola; Annalisa Appice; Donato Malerba (ISMIS, 2014)

Automatic Extraction of Logical Web Lists. - Pasqua Fabiana Lanotte; Fabio Fumarola; Michelangelo Ceci; Andrea Scarpino; Michele Damiano Torelli; Donato Malerba (ISMIS, 2014)

Collective Inference for Handling Autocorrelation in Network Regression. - Corrado Loglisci; Annalisa Appice; Donato Malerba (ISMIS, 2014)

Mining Dense Regions from Vehicular Mobility in Streaming Setting. - Corrado Loglisci; Donato Malerba (ISMIS, 2014)

Mining Temporal Evolution of Entities in a Stream of Textual Documents. - Gianvito Pio; Pasqua Fabiana Lanotte; Michelangelo Ceci; Donato Malerba (ISMIS, 2014)

Integrating Cluster Analysis to the ARIMA Model for Forecasting Geosensor Data. - Sonja Pravilovic; Annalisa Appice; Donato Malerba (ISMIS, 2014)

Network Reconstruction for the Identification of miRNA: mRNA Interaction Networks. - Gianvito Pio; Michelangelo Ceci; Domenica D'Elia; Donato Malerba (ECML/PKDD (3), 2014)

Big Data Techniques For Renewable Energy Market. - Michelangelo Ceci; Nunziato Cassavia; Roberto Corizzo; Pietro Dicosta; Donato Malerba; Gaspare Maria; Elio Masciari; Camillo Pastura (SEBD, 2014)

Network Regression in Collective Inference Setting. - Corrado Loglisci; Annalisa Appice; Antonella Montinari; Donato Malerba (SEBD, 2014)

Learning to Combine miRNA Target Predictions: a Semi-supervised Ensemble Learning Approach. - Gianvito Pio; Michelangelo Ceci; Domenica D'Elia; Donato Malerba (SEBD, 2014)

Mining Cluster-Based Models of Time Series for Wind Power Prediction. - Sonja Pravilovic; Annalisa Appice; Antonietta Lanza; Donato Malerba (SEBD, 2014)

Integrating microRNA target predictions for the discovery of gene regulatory networks: a semi-supervised ensemble learning approach. - Gianvito Pio; Donato Malerba; Domenica D'Elia; Michelangelo Ceci (BMC Bioinform., 2014)

Leveraging the power of local spatial autocorrelation in geophysical interpolative clustering. - Annalisa Appice; Donato Malerba (Data Min. Knowl. Discov., 2014)

Multi-Relational Model Tree Induction Tightly-Coupled with a Relational Database. - Annalisa Appice; Michelangelo Ceci; Donato Malerba (Fundam. Informaticae, 2014)

Dealing with temporal and spatial correlations to classify outliers in geophysical data streams. - Annalisa Appice; Pietro Guccione; Donato Malerba; Anna Ciampi (Inf. Sci., 2014)

Discovering Novelty Patterns from the Ancient Christian Inscriptions of Rome. - Gianvito Pio; Fabio Fumarola; Antonio E. Felle; Donato Malerba; Michelangelo Ceci (ACM Journal on Computing and Cultural Heritage, 2014)

Discovering Knowledge through Multi-modal Association Rule Mining for Document Image Analysis. - Michelangelo Ceci; Corrado Loglisci; Lynn Rudd; Donato Malerba (IT@LIA@AI*IA, 2015)

Very Short-Term Wind Speed Forecasting Using Spatio-Temporal Lazy Learning. - Annalisa Appice; Sonja Pravilovic; Antonietta Lanza; Donato Malerba (Discovery Science, 2015)

Hierarchical Multidimensional Classification of Web Documents with MultiWebClass. - Francesco Serafino 002; Gianvito Pio; Michelangelo Ceci; Donato Malerba (Discovery Science, 2015)

Big Data Techniques For Supporting Accurate Predictions of Energy Production From Renewable Sources. - Michelangelo Ceci; Roberto Corizzo; Fabio Fumarola; Michele Ianni; Donato Malerba; Gaspare Maria; Elio Masciari; Marco Oliverio; Aleksandra Rashkovska (IDEAS, 2015)

Discovering Variability Patterns for Change Detection in Complex Phenotype Data. - Corrado Loglisci; Bachir Balech; Donato Malerba (ISMIS, 2015)

Discovering and Tracking Organizational Structures in Event Logs. - Annalisa Appice; Marco Di Pietro; Claudio Greco 002; Donato Malerba (NFMCP, 2015)

Mining Periodic Changes in Complex Dynamic Data Through Relational Pattern Discovery. - Corrado Loglisci; Donato Malerba (NFMCP, 2015)

Mining Multi-Relational Gradual Patterns. - NhatHai Phan; Dino Ienco; Donato Malerba; Pascal Poncelet; Maguelonne Teisseire (SDM, 2015)

VIPOC Project Research Summary (Discussion Paper). - Michelangelo Ceci; Roberto Corizzo; Fabio Fumarola; Michele Ianni; Donato Malerba; Gaspare Maria; Elio Masciari; Marco Oliverio; Aleksandra Rashkovska (SEBD, 2015)

ComiRNet: a web-based system for the analysis of miRNA-gene regulatory networks. - Gianvito Pio; Michelangelo Ceci; Donato Malerba; Domenica D'Elia (BMC Bioinform., 2015)

Summarizing numeric spatial data streams by trend cluster discovery. - Annalisa Appice; Anna Ciampi; Donato Malerba (Data Min. Knowl. Discov., 2015)

Relational mining for discovering changes in evolving networks. - Corrado Loglisci; Michelangelo Ceci; Donato Malerba (Neurocomputing, 2015)

Effectively and efficiently supporting roll-up and drill-down OLAP operations over continuous dimensions via hierarchical clustering. - Michelangelo Ceci; Alfredo Cuzzocrea; Donato Malerba (J. Intell. Inf. Syst., 2015)

Automatic Generation of Sitemaps Based on Navigation Systems. - Pasqua Fabiana Lanotte; Fabio Fumarola; Donato Malerba; Michelangelo Ceci (MOD, 2016)

Mining Spatio-Temporal Patterns of Periodic Changes in Climate Data. - Corrado Loglisci; Michelangelo Ceci; Angelo Impedovo; Donato Malerba (NFMCP@PKDD/ECML, 2016)

Anomaly detection in aerospace product manufacturing: Initial remarks. - Anna Maria Crespino; Angelo Corallo; Mariangela Lazoi; Donato Barbagallo; Annalisa Appice; Donato Malerba (RTSI, 2016)

Multi-Type Classification from Heterogeneous Networks. - Francesco Serafino 002; Gianvito Pio; Donato Malerba; Michelangelo Ceci (SEBD, 2016)

Collective regression for handling autocorrelation of network data in a transductive setting. - Corrado Loglisci; Annalisa Appice; Donato Malerba (J. Intell. Inf. Syst., 2016)

CloFAST: closed sequential pattern mining using sparse and vertical id-lists. - Fabio Fumarola; Pasqua Fabiana Lanotte; Michelangelo Ceci; Donato Malerba (Knowl. Inf. Syst., 2016)

Transductive hyperspectral image classification: toward integrating spectral and relational features via an iterative ensemble system. - Annalisa Appice; Pietro Guccione; Donato Malerba (Mach. Learn., 2016)

A Co-Training Strategy for Multiple View Clustering in Process Mining. - Annalisa Appice; Donato Malerba (IEEE Trans. Serv. Comput., 2016)

Sampling Training Data for Accurate Hyperspectral Image Classification via Tree-Based Spatial Clustering. - Annalisa Appice; Sonja Pravilovic; Donato Malerba; Antonietta Lanza (AI*IA, 2017)

LOCANDA: Exploiting Causality in the Reconstruction of Gene Regulatory Networks. - Gianvito Pio; Michelangelo Ceci; Francesca Prisciandaro; Donato Malerba (DS, 2017)

Exploiting Web Sites Structural and Content Features for Web Pages Clustering. - Pasqua Fabiana Lanotte; Fabio Fumarola; Donato Malerba; Michelangelo Ceci (ISMIS, 2017)

Identifying lncRNA-Disease Relationships via Heterogeneous Clustering. - Emanuele Pio Barracchia; Gianvito Pio; Donato Malerba; Michelangelo Ceci (NFMCP@PKDD/ECML, 2017)

Forecasting via Distributed Density-Based Clustering. - Roberto Corizzo; Gianvito Pio; Michelangelo Ceci; Donato Malerba (SEBD, 2017)

Using multiple time series analysis for geosensor data forecasting. - Sonja Pravilovic; Massimo Bilancia; Annalisa Appice; Donato Malerba (Inf. Sci., 2017)

A novel spectral-spatial co-training algorithm for the transductive classification of hyperspectral imagery data. - Annalisa Appice; Pietro Guccione; Donato Malerba (Pattern Recognit., 2017)

Leveraging temporal autocorrelation of historical data for improving accuracy in network regression. - Corrado Loglisci; Donato Malerba (Stat. Anal. Data Min., 2017)

Predictive Modeling of PV Energy Production: How to Set Up the Learning Task for a Better Prediction? - Michelangelo Ceci; Roberto Corizzo; Fabio Fumarola; Donato Malerba; Aleksandra Rashkovska (IEEE Trans. Ind. Informatics, 2017)

Relational Data Mining in the Era of Big Data. - Annalisa Appice; Michelangelo Ceci; Donato Malerba (A Comprehensive Guide Through the Italian Database Research, 2018)

Analyzing Microblogging Posts for Tracking Collective Emotional Trajectories. - Corrado Loglisci; Giuseppina Andresini; Angelo Impedovo; Donato Malerba (AI*IA, 2018)

An OWL Ontology for Supporting Semantic Services in Big Data Platforms. - Domenico Redavid; Roberto Corizzo; Donato Malerba (BigData Congress, 2018)

Semantic Support for Model Based Big Data Analytics-as-a-Service (MBDAaaS). - Domenico Redavid; Donato Malerba; Beniamino Di Martino; Antonio Esposito 001; Claudio A. Ardagna; Valerio Bellandi; Paolo Ceravolo; Ernesto Damiani (CISIS, 2018)

An Empirical Evaluation of Sequential Pattern Mining Algorithms. - Marjana Prifti Skenduli; Corrado Loglisci; Michelangelo Ceci; Marenglen Biba; Donato Malerba (EIDWT, 2018)

Toward IoT-Friendly Learning Models. - Ernesto Damiani; Gabriele Gianini; Michelangelo Ceci; Donato Malerba (ICDCS, 2018)

Distributed Learning of Process Models for Next Activity Prediction. - Michelangelo Ceci; Michele Spagnoletta; Pasqua Fabiana Lanotte; Donato Malerba (IDEAS, 2018)

Handling Multi-scale Data via Multi-target Learning for Wind Speed Forecasting. - Annalisa Appice; Antonietta Lanza; Donato Malerba (ISMIS, 2018)

User-Emotion Detection Through Sentence-Based Classification Using Deep Learning: A Case-Study with Microblogs in Albanian. - Marjana Prifti Skenduli; Marenglen Biba; Corrado Loglisci; Michelangelo Ceci; Donato Malerba (ISMIS, 2018)

Wind Speed Forecasting via Structured Output Learning. - Annalisa Appice; Antonietta Lanza; Donato Malerba (SEBD, 2018)

Leveraging correlation across space and time to interpolate geophysical data via CoKriging. - Sonja Pravilovic; Annalisa Appice; Donato Malerba (Int. J. Geogr. Inf. Sci., 2018)

Active learning via collective inference in network regression problems. - Annalisa Appice; Corrado Loglisci; Donato Malerba (Inf. Sci., 2018)

Multi-type clustering and classification from heterogeneous networks. - Gianvito Pio; Francesco Serafino 002; Donato Malerba; Michelangelo Ceci (Inf. Sci., 2018)

Mining microscopic and macroscopic changes in network data streams. - Corrado Loglisci; Michelangelo Ceci; Angelo Impedovo; Donato Malerba (Knowl. Based Syst., 2018)

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

Periodicity Detection of Emotional Communities in Microblogging. - Corrado Loglisci; Donato Malerba (AI*IA, 2019)

Big Data Analytics and Predictive Modeling Approaches for the Energy Sector. - Roberto Corizzo; Michelangelo Ceci; Donato Malerba (BigData Congress, 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)

Using Convolutional Neural Networks for Predictive Process Analytics. - Vincenzo Pasquadibisceglie; Annalisa Appice; Giovanna Castellano; Donato Malerba (ICPM, 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)

Mining Microscopic and Macroscopic Changes in Network Data Streams (Discussion Paper). - Corrado Loglisci; Angelo Impedovo; Michelangelo Ceci; Donato Malerba (SEBD, 2019)

Trustworthiness of Context-Aware Urban Pollution Data in Mobile Crowd Sensing. - Marco Zappatore; Corrado Loglisci; Antonella Longo; Mario A. Bochicchio; Lucia Vaira; Donato Malerba (IEEE Access, 2019)

Spatial autocorrelation and entropy for renewable energy forecasting. - Michelangelo Ceci; Roberto Corizzo; Donato Malerba; Aleksandra Rashkovska (Data Min. Knowl. Discov., 2019)

DENCAST: distributed density-based clustering for multi-target regression. - Roberto Corizzo; Gianvito Pio; Michelangelo Ceci; Donato Malerba (J. Big Data, 2019)

Predictive Process Mining Meets Computer Vision. - Vincenzo Pasquadibisceglie; Annalisa Appice; Giovanna Castellano; Donato Malerba (BPM (Forum), 2020)

Training in a Virtual Learning Environment: A Process Mining Approach. - Annalisa Appice; Pasquale Ardimento; Donato Malerba; Giuseppe Modugno; Diego Marra; Marco Mottola (EAIS, 2020)

Saliency Detection for Hyperspectral Images via Sparse-Non Negative-Matrix-Factorization and novel Distance Measures*. - Antonella Falini; Graziano Castellano; Cristiano Tamborrino; Francesca Mazzia; Rosa Maria Mininni; Annalisa Appice; Donato Malerba (EAIS, 2020)

Saliency Detection in Hyperspectral Images Using Autoencoder-Based Data Reconstruction. - Annalisa Appice; Francesco Lomuscio; Antonella Falini; Cristiano Tamborrino; Francesca Mazzia; Donato Malerba (ISMIS, 2020)

Leveraging Machine Learning in IoT to Predict the Trustworthiness of Mobile Crowd Sensing Data. - Corrado Loglisci; Marco Zappatore; Antonella Longo; Mario A. Bochicchio; Donato Malerba (ISMIS, 2020)

Novel Reconstruction Errors for Saliency Detection in Hyperspectral Images. - Antonella Falini; Cristiano Tamborrino; Graziano Castellano; Francesca Mazzia; Rosa Maria Mininni; Annalisa Appice; Donato Malerba (LOD (1), 2020)

Applying Machine Learning to Predict Closing Prices in Stock Market: A Case Study. - Matteo Greco; Michele Spagnoletta; Annalisa Appice; Donato Malerba (MIDAS@PKDD/ECML, 2020)

jKarma: A Highly-Modular Framework for Pattern-Based Change Detection on Evolving Data. - Angelo Impedovo; Corrado Loglisci; Michelangelo Ceci; Donato Malerba (SEBD, 2020)

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

A Multi-Stage Machine Learning Approach to Predict Dengue Incidence: A Case Study in Mexico. - Annalisa Appice; Yulia R. Gel; Iliyan Iliev; Vyacheslav Lyubchich; Donato Malerba (IEEE Access, 2020)

ORANGE: Outcome-Oriented Predictive Process Monitoring Based on Image Encoding and CNNs. - Vincenzo Pasquadibisceglie; Annalisa Appice; Giovanna Castellano; Donato Malerba; Giuseppe Modugno (IEEE Access, 2020)

Detecting salient regions in a bi-temporal hyperspectral scene by iterating clustering and classification. - Annalisa Appice; Pietro Guccione; Emilio Acciaro; Donato Malerba (Appl. Intell., 2020)

Condensed representations of changes in dynamic graphs through emerging subgraph mining. - Angelo Impedovo; Corrado Loglisci; Michelangelo Ceci; Donato Malerba (Eng. Appl. Artif. Intell., 2020)

Clustering-Aided Multi-View Classification: A Case Study on Android Malware Detection. - Annalisa Appice; Giuseppina Andresini; Donato Malerba (J. Intell. Inf. Syst., 2020)

Exploiting causality in gene network reconstruction based on graph embedding. - Gianvito Pio; Michelangelo Ceci; Francesca Prisciandaro; Donato Malerba (Mach. Learn., 2020)

Dealing with Class Imbalance in Android Malware Detection by Cascading Clustering and Classification. - Giuseppina Andresini; Annalisa Appice; Donato Malerba (Complex Pattern Mining, 2020)

Exploiting Pattern Set Dissimilarity for Detecting Changes in Communication Networks. - Angelo Impedovo; Corrado Loglisci; Michelangelo Ceci; Donato Malerba (Complex Pattern Mining, 2020)

Siamese Networks with Transfer Learning for Change Detection in Sentinel-2 Images. - Giuseppina Andresini; Annalisa Appice; Domenico Dell'Olio; Donato Malerba (AI*IA, 2021)

Leveraging Multi-view Deep Learning for Next Activity Prediction. - Vincenzo Pasquadibisceglie; Annalisa Appice; Giovanna Castellano; Donato Malerba (ITBPM@BPM, 2021)

A Network Intrusion Detection System for Concept Drifting Network Traffic Data. - Giuseppina Andresini; Annalisa Appice; Corrado Loglisci; Vincenzo Belvedere; Domenico Redavid; Donato Malerba (DS, 2021)

Leveraging Grad-CAM to Improve the Accuracy of Network Intrusion Detection Systems. - Francesco Paolo Caforio; Giuseppina Andresini; Gennaro Vessio; Annalisa Appice; Donato Malerba (DS, 2021)

FOX: a neuro-Fuzzy model for process Outcome prediction and eXplanation. - Vincenzo Pasquadibisceglie; Giovanna Castellano; Annalisa Appice; Donato Malerba (ICPM, 2021)

A Two-Step Network Intrusion Detection System for Multi-Class Classification (Discussion Paper). - Giuseppina Andresini; Annalisa Appice; Donato Malerba (SEBD, 2021)

GAN augmentation to deal with imbalance in imaging-based intrusion detection. - Giuseppina Andresini; Annalisa Appice; Luca De Rose; Donato Malerba (Future Gener. Comput. Syst., 2021)

Autoencoder-based deep metric learning for network intrusion detection. - Giuseppina Andresini; Annalisa Appice; Donato Malerba (Inf. Sci., 2021)

Leveraging colour-based pseudo-labels to supervise saliency detection in hyperspectral image datasets. - Annalisa Appice; Angelo Cannarile; Antonella Falini; Donato Malerba; Francesca Mazzia; Cristiano Tamborrino (J. Intell. Inf. Syst., 2021)

Mining emotion-aware sequential rules at user-level from micro-blogs. - Marjana Prifti Skenduli; Marenglen Biba; Corrado Loglisci; Michelangelo Ceci; Donato Malerba (J. Intell. Inf. Syst., 2021)

Nearest cluster-based intrusion detection through convolutional neural networks. - Giuseppina Andresini; Annalisa Appice; Donato Malerba (Knowl. Based Syst., 2021)

Anomaly Detection for Public Transport and Air Pollution Analysis. - Paolo Mignone; Donato Malerba; Michelangelo Ceci (IEEE Big Data, 2022)

An XAI-based adversarial training approach for cyber-threat detection. - Malik Al-Essa; Giuseppina Andresini; Annalisa Appice; Donato Malerba (DASC/PiCom/CBDCom/CyberSciTech, 2022)

XAI to Explore Robustness of Features in Adversarial Training for Cybersecurity. - Malik Al-Essa; Giuseppina Andresini; Annalisa Appice; Donato Malerba (ISMIS, 2022)

Anomaly Detection for Physical Threat Intelligence. - Paolo Mignone; Donato Malerba; Michelangelo Ceci (itaDATA, 2022)

A multi-view deep learning approach for predictive business processes monitoring. - Vincenzo Pasquadibisceglie; Annalisa Appice; Giovanna Castellano; Donato Malerba (SERVICES, 2022)

ROULETTE: A neural attention multi-output model for explainable Network Intrusion Detection. - Giuseppina Andresini; Annalisa Appice; Francesco Paolo Caforio; Donato Malerba; Gennaro Vessio (Expert Syst. Appl., 2022)

Leveraging autoencoders in change vector analysis of optical satellite images. - Giuseppina Andresini; Annalisa Appice; Daniele Iaia; Donato Malerba; Nicolò Taggio; Antonello Aiello (J. Intell. Inf. Syst., 2022)

A Multi-View Deep Learning Approach for Predictive Business Process Monitoring. - Vincenzo Pasquadibisceglie; Annalisa Appice; Giovanna Castellano; Donato Malerba (IEEE Trans. Serv. Comput., 2022)

CENTAURO: An Explainable AI Approach for Customer Loyalty Prediction in Retail Sector. - Giuseppina Andresini; Annalisa Appice; Pasquale Ardimento; Andrea Antonio Brunetta; Antonio Giuseppe Doronzo; Giuseppe Ieva; Francesco Luce; Donato Malerba; Vincenzo Pasquadibisceglie (AI*IA, 2023)

Coupling quantum classification and quantum distance estimation in continual learning. - Corrado Loglisci; Donato Malerba (AIQxQIA@AI*IA, 2023)

GLORIA: A Graph Convolutional Network-Based Approach for Review Spam Detection. - Giuseppina Andresini; Annalisa Appice; Roberto Gasbarro; Donato Malerba (DS, 2023)

PANACEA: A Neural Model Ensemble for Cyber-Threat Detection. - Malik Al-Essa; Giuseppina Andresini; Annalisa Appice; Donato Malerba (DSAA, 2023)

Striving for Simplicity in Deep Neural Models Trained for Malware Detection. - Malik Al-Essa; Giuseppina Andresini; Annalisa Appice; Donato Malerba (PKDD/ECML Workshops (3), 2023)

A Hybrid Quantum-Classical Framework for Binary Classification in Online Learning. - Corrado Loglisci; Ivan Diliso; Donato Malerba (SEBD, 2023)

DARWIN : An online deep learning approach to handle concept drifts in predictive process monitoring. - Vincenzo Pasquadibisceglie; Annalisa Appice; Giovanna Castellano; Donato Malerba (Eng. Appl. Artif. Intell., 2023)

SENECA: Change detection in optical imagery using Siamese networks with Active-Transfer Learning. - Giuseppina Andresini; Annalisa Appice; Dino Ienco; Donato Malerba (Expert Syst. Appl., 2023)

$ mathsf{SILVIA}$: An eXplainable Framework to Map Bark Beetle Infestation in Sentinel-2 Images. - Giuseppina Andresini; Annalisa Appice; Donato Malerba (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

STARDUST: A Novel Process Mining Approach to Discover Evolving Models From Trace Streams. - Vincenzo Pasquadibisceglie; Annalisa Appice; Giovanna Castellano; Nicola Fiorentino; Donato Malerba (IEEE Trans. Serv. Comput., 2023)

An AI framework to support decisions on GDPR compliance. - Filippo Lorè; Pierpaolo Basile; Annalisa Appice; Marco de Gemmis; Donato Malerba; Giovanni Semeraro (J. Intell. Inf. Syst., 2023)

Parameter Prediction for Variational Quantum Algorithms through Sequence Modeling (Short Paper). - Corrado Loglisci; Vito Losavio; Berardina De Carolis; Marjana Prifti Skenduli; Donato Malerba (AIQxQIA@AI*IA, 2024)

An Attention-Based CNN Approach to Detect Forest Tree Dieback Caused by Insect Outbreak in Sentinel-2 Images. - Vito Recchia; Giuseppina Andresini; Annalisa Appice; Gianpietro Fontana; Donato Malerba (DS (2), 2024)

LUPIN: A LLM Approach for Activity Suffix Prediction in Business Process Event Logs. - Vincenzo Pasquadibisceglie; Annalisa Appice; Donato Malerba (ICPM, 2024)

Potential of Spectral-Spatial Analysis to Map Forest Tree Dieback Due to Bark Beetle Hotspots in Sentinel-2 Images. - Giuseppina Andresini; Annalisa Appice; Dino Ienco; Donato Malerba; Vito Recchia (IGARSS, 2024)

A Stream Data Mining Approach to Handle Concept Drifts in Process Discovery. - Vincenzo Pasquadibisceglie; Donato Lucente; Donato Malerba (ISMIS, 2024)

Enhancing Cyber-threat detection coupling Deep Neural Ensemble Learning with XAI. - Malik Al-Essa; Giuseppina Andresini; Annalisa Appice; Donato Malerba (Ital-IA, 2024)

Leveraging Sentinel-2 time series for bark beetle-induced forest dieback inventory. - Giuseppina Andresini; Annalisa Appice; Donato Malerba (SAC, 2024)

Enhancing Next Activity Prediction with Adversarial Training of Vision Transformers. - Vincenzo Pasquadibisceglie; Annalisa Appice; Giovanna Castellano; Donato Malerba (SEBD, 2024)

VINCENT: Cyber-threat detection through vision transformers and knowledge distillation. - Luca De Rose; Giuseppina Andresini; Annalisa Appice; Donato Malerba (Comput. Secur., 2024)

A Deep Semantic Segmentation Approach to Map Forest Tree Dieback in Sentinel-2 Data. - Giuseppina Andresini; Annalisa Appice; Donato Malerba (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

JARVIS: Joining Adversarial Training With Vision Transformers in Next-Activity Prediction. - Vincenzo Pasquadibisceglie; Annalisa Appice; Giovanna Castellano; Donato Malerba (IEEE Trans. Serv. Comput., 2024)

${ sf PROPHET}$PROPHET: Explainable Predictive Process Monitoring With Heterogeneous Graph Neural Networks. - Vincenzo Pasquadibisceglie; Raffaele Scaringi; Annalisa Appice; Giovanna Castellano; Donato Malerba (IEEE Trans. Serv. Comput., 2024)

Evaluating Realistic Adversarial Attacks against Machine Learning Models for Windows PE Malware Detection. - Muhammad Imran 028; Annalisa Appice; Donato Malerba (Future Internet, 2024)

TSUNAMI - an explainable PPM approach for customer churn prediction in evolving retail data environments. - Vincenzo Pasquadibisceglie; Annalisa Appice; Giuseppe Ieva; Donato Malerba (J. Intell. Inf. Syst., 2024)

Data-Centric AI. - Donato Malerba; Vincenzo Pasquadibisceglie (J. Intell. Inf. Syst., 2024)

Quarta: quantum supervised and unsupervised learning for binary classification in domain-incremental learning. - Corrado Loglisci; Donato Malerba; Saverio Pascazio (Quantum Mach. Intell., 2024)

Deep Change Vector Analysis to Map Bark Beetle Outbreaks in Open Sentinel-2 Data. - Giuseppina Andresini; Annalisa Appice; Donato Malerba; Vito Recchia (IJCNN, 2025)

Adversarial Training to Improve Accuracy and Robustness of a Windows PE Malware Detection Model. - Luca Lobascio; Giuseppina Andresini; Annalisa Appice; Donato Malerba (ITASEC/SERICS, 2025)

GANDALF: A LLM-based approach to map bark beetle outbreaks in semantic stories of Sentinel-2 images. - Vincenzo Pasquadibisceglie; Vito Recchia; Annalisa Appice; Donato Malerba; Giuseppe Fiameni (SAC, 2025)

Balancing Protection and Quality in Big Data Analytics Pipelines. - Antongiacomo Polimeno; Paolo Mignone; Chiara Braghin; Marco Anisetti; Michelangelo Ceci; Donato Malerba; Claudio A. Ardagna (Big Data, 2025)

Leveraging a large language model (LLM) to predict hospital admissions of emergency department patients. - Vincenzo Pasquadibisceglie; Annalisa Appice; Donato Malerba; Giuseppe Fiameni (Expert Syst. Appl., 2025)

OLIVANDER: a counterfactual-based method to generate adversarial Windows PE malware. - Luca De Rose; Giuseppina Andresini; Annalisa Appice; Donato Malerba (Data Min. Knowl. Discov., 2025)