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

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

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

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

Multi-relational Structural Bayesian Classifier. - Michelangelo Ceci; Annalisa Appice; Donato Malerba; Vincenzo Colonna (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)

Document-Centered Collaboration for Scholars in the Humanities - The COLLATE System. - Ingo Frommholz; Holger Brocks; Ulrich Thiel; Erich J. Neuhold; Luigi Iannone; Giovanni Semeraro; Margherita Berardi; Michelangelo Ceci (ECDL, 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)

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)

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)

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)

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)

Redundant feature elimination for multi-class problems. - Annalisa Appice; Michelangelo Ceci; Simon Alan Rawles; Peter A. Flach (ICML, 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)

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)

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

Naive bayesian learning from structural data. - Michelangelo Ceci (2005)

Mining Tolerance Regions with Model Trees. - Annalisa Appice; Michelangelo Ceci (ISMIS, 2006)

Relational Data Mining Techniques for Historical Document Processing.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

Spatial associative classification: propositional vs structural approach. - Michelangelo Ceci; Annalisa Appice (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)

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)

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)

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)

Hierarchical Text Categorization in a Transductive Setting. - Michelangelo Ceci (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)

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

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

An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting. - Annalisa Appice; Michelangelo Ceci; 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)

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)

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

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

Discovering Informative Syntactic Relationships between Named Entities in Biomedical Literature. - Annalisa Appice; Michelangelo Ceci; Corrado Loglisci (DBKDA, 2010)

Transductive Learning from Textual Data with Relevant Example Selection. - Michelangelo Ceci (DEXA (2), 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)

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)

Hierarchical Transductive Classification from Textual Data with Relevant Example Selection. - Michelangelo Ceci; Pasqua Fabiana Lanotte (SEBD, 2010)

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

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)

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)

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

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

Discovering Temporal Bisociations for Linking Concepts over Time. - Corrado Loglisci; Michelangelo Ceci (ECML/PKDD (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)

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)

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)

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

Toward a Semantic Framework for the Querying, Mining and Visualization of Cancer Microenvironment Data. - Michelangelo Ceci; Fabio Fumarola; Pietro Hiram Guzzi; Federica Mandreoli; Riccardo Martoglia; Elio Masciari; Massimo Mecella; Wilma Penzo (ITBAM, 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)

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

A Framework for Biological Data Normalization, Interoperability, and Mining for Cancer Microenvironment Analysis. - Michelangelo Ceci; Mauro Coluccia; Fabio Fumarola; Pietro Hiram Guzzi; Federica Mandreoli; Riccardo Martoglia; Elio Masciari; Massimo Mecella; Wilma Penzo (SEBD, 2012)

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

Network regression with predictive clustering trees. - Daniela Stojanova; Michelangelo Ceci; Annalisa Appice; Saso Dzeroski (Data Min. Knowl. Discov., 2012)

The IS-BioBank project: a framework for biological data normalization, interoperability, and mining for cancer microenvironment analysis. - Michelangelo Ceci; Pietro Hiram Guzzi; Elio Masciari; Mauro Coluccia; Federica Mandreoli; Massimo Mecella; Fabio Fumarola; Riccardo Martoglia; Wilma Penzo (SIGHIT Rec., 2012)

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)

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)

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)

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)

Ranking Sentences for Keyphrase Extraction: A Relational Data Mining Approach. - Michelangelo Ceci; Corrado Loglisci; Lucrezia Macchia (IRCDL, 2014)

Automatic Extraction of Logical Web Lists. - Pasqua Fabiana Lanotte; Fabio Fumarola; Michelangelo Ceci; Andrea Scarpino; Michele Damiano Torelli; 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)

Semi-supervised Learning for Multi-target Regression. - Jurica Levatic; Michelangelo Ceci; Dragi Kocev; Saso Dzeroski (NFMCP, 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)

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

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

Mining complex patterns. - Annalisa Appice; Michelangelo Ceci; Corrado Loglisci; Elio Masciari; Giuseppe Manco 001 (J. Intell. Inf. Syst., 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)

Ensembles of Extremely Randomized Trees for Multi-target Regression. - Dragi Kocev; Michelangelo Ceci (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)

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)

Semi-supervised learning for multi-target regression (Discussion paper). - Jurica Levatic; Michelangelo Ceci; Dragi Kocev; Saso Dzeroski (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)

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)

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

Big Data Analytics. - Michelangelo Ceci (SEBD, 2016)

Semi-Supervised Multi-View Learning for Gene Network Reconstruction. - Michelangelo Ceci; Gianvito Pio; Vladimir Kuzmanovski; Saso Dzeroski (SEBD, 2016)

Recent advances in mining patterns from complex data. - Annalisa Appice; Michelangelo Ceci; Corrado Loglisci; Giuseppe Manco 001; Elio Masciari (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)

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)

Temporal Pattern Mining from Evolving Networks. - Angelo Impedovo; Corrado Loglisci; Michelangelo Ceci (CoRR, 2017)

Semi-supervised classification trees. - Jurica Levatic; Michelangelo Ceci; Dragi Kocev; Saso Dzeroski (J. Intell. Inf. Syst., 2017)

Self-training for multi-target regression with tree ensembles. - Jurica Levatic; Michelangelo Ceci; Dragi Kocev; Saso Dzeroski (Knowl. Based Syst., 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)

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)

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)

Semi-supervised trees for multi-target regression. - Jurica Levatic; Dragi Kocev; Michelangelo Ceci; Saso Dzeroski (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)

Introduction to the special issue on discovery science. - Michelangelo Ceci; Toon Calders (Mach. Learn., 2018)

Ensemble Learning for Multi-Type Classification in Heterogeneous Networks. - Francesco Serafino 002; Gianvito Pio; Michelangelo Ceci (IEEE Trans. Knowl. Data Eng., 2018)

Big Data Analytics and Predictive Modeling Approaches for the Energy Sector. - Roberto Corizzo; Michelangelo Ceci; Donato Malerba (BigData Congress, 2019)

Efficient and Accurate Non-exhaustive Pattern-Based Change Detection in Dynamic Networks. - Angelo Impedovo; Michelangelo Ceci; Toon Calders (DS, 2019)

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

Positive Unlabeled Link Prediction via Transfer Learning for Gene Network Reconstruction (Discussion Paper). - Paolo Mignone; Gianvito Pio; Michelangelo Ceci (SEBD, 2019)

Anomaly Detection and Repair for Accurate Predictions in Geo-distributed Big Data. - Roberto Corizzo; Michelangelo Ceci; Nathalie Japkowicz (Big Data Res., 2019)

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

Spark-GHSOM: Growing Hierarchical Self-Organizing Map for large scale mixed attribute datasets. - Ameya Malondkar; Roberto Corizzo; Iluju Kiringa; Michelangelo Ceci; Nathalie Japkowicz (Inf. Sci., 2019)

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

Simultaneous Process Drift Detection and Characterization with Pattern-Based Change Detectors. - Angelo Impedovo; Paolo Mignone; Corrado Loglisci; Michelangelo Ceci (DS, 2020)

Estimating the Importance of Relational Features by Using Gradient Boosting. - Matej Petkovic; Michelangelo Ceci; Kristian Kersting; Saso Dzeroski (ISMIS, 2020)

Leveraging Multi-target Regression for Predicting the Next Parallel Activities in Event Logs. - Michelangelo Ceci; Angelo Impedovo; Antonio Pellicani (PKDD/ECML Workshops, 2020)

ECHAD: Embedding-Based Change Detection From Multivariate Time Series in Smart Grids. - Michelangelo Ceci; Roberto Corizzo; Nathalie Japkowicz; Paolo Mignone; Gianvito Pio (IEEE Access, 2020)

Exploiting transfer learning for the reconstruction of the human gene regulatory network. - Paolo Mignone; Gianvito Pio; Domenica D'Elia; Michelangelo Ceci (Bioinform., 2020)

Prediction of new associations between ncRNAs and diseases exploiting multi-type hierarchical clustering. - Emanuele Pio Barracchia; Gianvito Pio; Domenica D'Elia; Michelangelo Ceci (BMC Bioinform., 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)

Scalable auto-encoders for gravitational waves detection from time series data. - Roberto Corizzo; Michelangelo Ceci; Eftim Zdravevski; Nathalie Japkowicz (Expert Syst. Appl., 2020)

Semi-supervised regression trees with application to QSAR modelling. - Jurica Levatic; Michelangelo Ceci; Tomaz Stepisnik; Saso Dzeroski; Dragi Kocev (Expert Syst. Appl., 2020)

jKarma: A highly-modular framework for pattern-based change detection on evolving data. - Angelo Impedovo; Corrado Loglisci; Michelangelo Ceci; Donato Malerba (Knowl. Based Syst., 2020)

Ensembles of extremely randomized predictive clustering trees for predicting structured outputs. - Dragi Kocev; Michelangelo Ceci; Tomaz Stepisnik (Mach. Learn., 2020)

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

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

Scalable auto-encoders for gravitational waves detection from time series data. - Roberto Corizzo; Michelangelo Ceci; Eftim Zdravevski; Nathalie Japkowicz (Zenodo, 2020)

Spatially-Aware Autoencoders for Detecting Contextual Anomalies in Geo-Distributed Data. - Roberto Corizzo; Michelangelo Ceci; Gianvito Pio; Paolo Mignone; Nathalie Japkowicz (DS, 2021)

A Two-Step Method based on Embedding and Clustering to Identify Regularities in Legal Case Judgements (Discussion Paper). - Graziella De Martino; Gianvito Pio; Michelangelo Ceci (SEBD, 2021)

BROCCOLI: overlapping and outlier-robust biclustering through proximal stochastic gradient descent. - Sibylle Hess; Gianvito Pio; Michiel E. Hochstenbach; Michelangelo Ceci (Data Min. Knowl. Discov., 2021)

Multi-aspect renewable energy forecasting. - Roberto Corizzo; Michelangelo Ceci; Hadi Fanaee-T; João Gama 001 (Inf. Sci., 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)

Closed sequential pattern mining for sitemap generation. - Michelangelo Ceci; Pasqua Fabiana Lanotte (World Wide Web, 2021)

Multi-aspect renewable energy forecasting. - Roberto Corizzo; Michelangelo Ceci; Hadi Fanaee-T; João Gama 001 (Zenodo, 2021)

Scalable Forecasting in Sensor Networks with Graph Convolutional LSTM Models. - Massimiliano Altieri; Roberto Corizzo; Michelangelo Ceci (IEEE Big Data, 2022)

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

Distributed Heterogeneous Transfer Learning for Link Prediction in the Positive Unlabeled Setting. - Paolo Mignone; Gianvito Pio; Michelangelo Ceci (IEEE Big Data, 2022)

Leveraging Spatio-Temporal Autocorrelation to Improve the Forecasting of the Energy Consumption in Smart Grids. - Annunziata D'Aversa; Stefano Polimena; Gianvito Pio; Michelangelo Ceci (DS, 2022)

Anomaly Detection for Physical Threat Intelligence. - Paolo Mignone; Donato Malerba; Michelangelo Ceci (PKDD/ECML Workshops (1), 2022)

PRILJ: an efficient two-step method based on embedding and clustering for the identification of regularities in legal case judgments. - Graziella De Martino; Gianvito Pio; Michelangelo Ceci (Artif. Intell. Law, 2022)

Integrating genome-scale metabolic modelling and transfer learning for human gene regulatory network reconstruction. - Gianvito Pio; Paolo Mignone; Giuseppe Magazzù; Guido Zampieri; Michelangelo Ceci; Claudio Angione (Bioinform., 2022)

LP-ROBIN: Link prediction in dynamic networks exploiting incremental node embedding. - Emanuele Pio Barracchia; Gianvito Pio; Albert Bifet; Heitor Murilo Gomes; Bernhard Pfahringer; Michelangelo Ceci (Inf. Sci., 2022)

Relational tree ensembles and feature rankings. - Matej Petkovic; Michelangelo Ceci; Gianvito Pio; Blaz Skrlj; Kristian Kersting; Saso Dzeroski (Knowl. Based Syst., 2022)

Explainable Spatio-Temporal Graph Modeling. - Massimiliano Altieri; Michelangelo Ceci; Roberto Corizzo (DS, 2023)

Real-Time Anomaly Prediction from Cryptocurrency Time Series. - Antonio Pellicani; Gianvito Pio; Sao Deroski; Michelangelo Ceci (PKDD/ECML Workshops (3), 2023)

A Multi-Perspective Approach for Risky User Identification in Social Networks. - Antonio Pellicani; Gianvito Pio; Michelangelo Ceci (SEBD, 2023)

SAIRUS: Spatially-aware identification of risky users in social networks. - Antonio Pellicani; Gianvito Pio; Domenico Redavid; Michelangelo Ceci (Inf. Fusion, 2023)

Multi-view overlapping clustering for the identification of the subject matter of legal judgments. - Graziella De Martino; Gianvito Pio; Michelangelo Ceci (Inf. Sci., 2023)

HURI: Hybrid user risk identification in social networks. - Roberto Corizzo; Gianvito Pio; Emanuele Pio Barracchia; Antonio Pellicani; Nathalie Japkowicz; Michelangelo Ceci (World Wide Web (WWW), 2023)

Leveraging Spatio-Temporal Locality in Linear Model Trees for Multi-Step Time Series Forecasting. - Annunziata D'Aversa; Gianvito Pio; Michelangelo Ceci (IEEE Big Data, 2024)

Handling the Challenges of Microbiome Data through Supervised Autoencoders for the Non-invasive Disease Diagnosis. - Veronica Buttaro; Michelangelo Ceci; Gianvito Pio (DS (LB), 2024)

Improving the Robustness to Color Perturbations of Classification and Regression Models in the Visual Evaluation of Fruits and Vegetables. - Stefano Polimena; Gianvito Pio; Giovanni Attolico; Michelangelo Ceci (ISMIS, 2024)

Exploiting microRNA Expression Data for the Diagnosis of Disease Conditions and the Discovery of Novel Biomarkers. - Daniele Rosa; Antonio Pellicani; Gianvito Pio; Domenica D'Elia; Michelangelo Ceci (ISMIS, 2024)

Distributed Heterogeneous Transfer Learning. - Paolo Mignone; Gianvito Pio; Michelangelo Ceci (Big Data Res., 2024)

Semi-Supervised Predictive Clustering Trees for (Hierarchical) Multi-Label Classification. - Jurica Levatic; Michelangelo Ceci; Dragi Kocev; Saso Dzeroski (Int. J. Intell. Syst., 2024)

Distributed and explainable GHSOM for anomaly detection in sensor networks. - Paolo Mignone; Roberto Corizzo; Michelangelo Ceci (Mach. Learn., 2024)

Special issue on intelligent systems. - Michelangelo Ceci; Sergio Flesca; Giuseppe Manco 001; Elio Masciari (J. Intell. Inf. Syst., 2024)

GAP-LSTM: Graph-Based Autocorrelation Preserving Networks for Geo-Distributed Forecasting. - Massimiliano Altieri; Roberto Corizzo; Michelangelo Ceci (IEEE Trans. Neural Networks Learn. Syst., 2024)

Heuristic approaches for non-exhaustive pattern-based change detection in dynamic networks. - Corrado Loglisci; Angelo Impedovo; Toon Calders; Michelangelo Ceci (J. Intell. Inf. Syst., 2024)

Multi-class boosting for the analysis of multiple incomplete views on microbiome data. - Andrea Simeon; Milos Radovanovic 001; Tatjana Loncar-Turukalo; Michelangelo Ceci; Sanja Brdar; Gianvito Pio (BMC Bioinform., 2024)

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)

CARROT: Simultaneous prediction of anomalies from groups of correlated cryptocurrency trends. - Antonio Pellicani; Gianvito Pio; Michelangelo Ceci (Expert Syst. Appl., 2025)

Positional trace encoding for next activity prediction in event logs. - Antonio Pellicani; Michelangelo Ceci (Knowl. Based Syst., 2025)

Multi-view Learning for the Identification of Risky Users in Dynamic Social Networks. - Francesco Benedetti; Antonio Pellicani; Gianvito Pio; Michelangelo Ceci (CoRR, 2025)

An end-to-end explainability framework for spatio-temporal predictive modeling. - Massimiliano Altieri; Michelangelo Ceci; Roberto Corizzo (Mach. Learn., 2025)