Michelangelo Ceci

245 papers A* 2A 9B 23C 25Misc 2Journal 72Unranked 89

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DNS-GT: A Graph-based Transformer Approach to Learn Embeddings of Domain Names from DNS Queries. CoRR Massimiliano Altieri, Ronan Hamon, Roberto Corizzo, Michelangelo Ceci, Ignacio Sánchez
2026	J	`jnl`	Handling complex backgrounds and light perturbations for enhancing learning tasks from images of vegetables. J. Intell. Inf. Syst. Stefano Polimena, Gianvito Pio, Giovanni Attolico, Michelangelo Ceci
2026	—	`ed.`	Proceedings of the 4th Italian Conference on Big Data and Data Science (ITADATA 2025), Turin, Italy, September 9-11, 2025 ITADATA Nicola Bena, Michelangelo Ceci, Roberto Esposito, Riccardo Torlone, Alex Della Bruna, Claudio A. Ardagna, Mirko Polato, Luigi Romano
2025	B	`conf`	A Novel AI Approach for the Diagnosis of Alzheimer's Disease from Multi-modal Incomplete Data. DS Veronica Buttaro, Giuseppe Lamanna, Donato Massaro, Claudio Basilio Caporusso, Gianvito Pio, Michelangelo Ceci
2025	—	`conf`	A secure AI-enabled platform to support the automated Alzheimer's disease diagnosis. ITADATA Claudio A. Ardagna, Veronica Buttaro, Michelangelo Ceci, Marco Luzzara, Antonio Pellicani, Gianvito Pio, Antongiacomo Polimeno
2025	J	`jnl`	An end-to-end explainability framework for spatio-temporal predictive modeling. Mach. Learn. Massimiliano Altieri, Michelangelo Ceci, Roberto Corizzo
2025	J	`jnl`	Balancing Protection and Quality in Big Data Analytics Pipelines. Big Data Antongiacomo Polimeno, Paolo Mignone, Chiara Braghin, Marco Anisetti, Michelangelo Ceci, Donato Malerba, Claudio A. Ardagna
2025	J	`jnl`	CARROT: Simultaneous prediction of anomalies from groups of correlated cryptocurrency trends. Expert Syst. Appl. Antonio Pellicani, Gianvito Pio, Michelangelo Ceci
2025	J	`jnl`	IMMENSE: Inductive Multi-perspective User Classification in Social Networks. Online Soc. Networks Media Francesco Benedetti, Antonio Pellicani, Gianvito Pio, Michelangelo Ceci
2025	—	`conf`	Integrating Semantic, Social, and Spatial Dimensions for Inductive Malicious User Detection in Social Networks. SEBD Francesco Benedetti, Antonio Pellicani, Gianvito Pio, Michelangelo Ceci
2025	J	`jnl`	Modeling spatio-temporal locality in multi-step forecasting of geo-referenced time series. Mach. Learn. Annunziata D'Aversa, Gianvito Pio, Michelangelo Ceci
2025	J	`jnl`	Multi-view Learning for the Identification of Risky Users in Dynamic Social Networks. CoRR Francesco Benedetti, Antonio Pellicani, Gianvito Pio, Michelangelo Ceci
2025	J	`jnl`	Positional trace encoding for next activity prediction in event logs. Knowl. Based Syst. Antonio Pellicani, Michelangelo Ceci
2025	B	`conf`	Visual Analytics for Explainable AI with Spatio-Temporal Data: A Comparative Study. IJCNN Roberto Corizzo, Alex Godwin, Massimiliano Altieri, Michelangelo Ceci
2024	J	`jnl`	Distributed Heterogeneous Transfer Learning. Big Data Res. Paolo Mignone, Gianvito Pio, Michelangelo Ceci
2024	J	`jnl`	Distributed and explainable GHSOM for anomaly detection in sensor networks. Mach. Learn. Paolo Mignone, Roberto Corizzo, Michelangelo Ceci
2024	C	`conf`	Exploiting microRNA Expression Data for the Diagnosis of Disease Conditions and the Discovery of Novel Biomarkers. ISMIS Daniele Rosa, Antonio Pellicani, Gianvito Pio, Domenica D'Elia, Michelangelo Ceci
2024	J	`jnl`	GAP-LSTM: Graph-Based Autocorrelation Preserving Networks for Geo-Distributed Forecasting. IEEE Trans. Neural Networks Learn. Syst. Massimiliano Altieri, Roberto Corizzo, Michelangelo Ceci
2024	—	`conf`	Handling the Challenges of Microbiome Data through Supervised Autoencoders for the Non-invasive Disease Diagnosis. DS (LB) Veronica Buttaro, Michelangelo Ceci, Gianvito Pio
2024	J	`jnl`	Heuristic approaches for non-exhaustive pattern-based change detection in dynamic networks. J. Intell. Inf. Syst. Corrado Loglisci, Angelo Impedovo, Toon Calders, Michelangelo Ceci
2024	C	`conf`	Improving the Robustness to Color Perturbations of Classification and Regression Models in the Visual Evaluation of Fruits and Vegetables. ISMIS Stefano Polimena, Gianvito Pio, Giovanni Attolico, Michelangelo Ceci
2024	B	`conf`	Leveraging Spatio-Temporal Locality in Linear Model Trees for Multi-Step Time Series Forecasting. IEEE Big Data Annunziata D'Aversa, Gianvito Pio, Michelangelo Ceci
2024	J	`jnl`	Multi-class boosting for the analysis of multiple incomplete views on microbiome data. BMC Bioinform. Andrea Simeon, Milos Radovanovic, Tatjana Loncar-Turukalo, Michelangelo Ceci, Sanja Brdar, Gianvito Pio
2024	—	`ed.`	Proceedings of the 32nd Symposium of Advanced Database Systems, Villasimius, Italy, June 23rd to 26th, 2024. SEBD Maurizio Atzori, Paolo Ciaccia, Michelangelo Ceci, Federica Mandreoli, Donato Malerba, Manuela Sanguinetti, Antonio Pellicani, Federico Motta
2024	J	`jnl`	Semi-Supervised Predictive Clustering Trees for (Hierarchical) Multi-Label Classification. Int. J. Intell. Syst. Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski
2024	J	`jnl`	Special issue on intelligent systems. J. Intell. Inf. Syst. Michelangelo Ceci, Sergio Flesca, Giuseppe Manco, Elio Masciari
2023	—	`conf`	A Multi-Perspective Approach for Risky User Identification in Social Networks. SEBD Antonio Pellicani, Gianvito Pio, Michelangelo Ceci
2023	B	`conf`	Explainable Spatio-Temporal Graph Modeling. DS Massimiliano Altieri, Michelangelo Ceci, Roberto Corizzo
2023	J	`jnl`	HURI: Hybrid user risk identification in social networks. World Wide Web (WWW) Roberto Corizzo, Gianvito Pio, Emanuele Pio Barracchia, Antonio Pellicani, Nathalie Japkowicz, Michelangelo Ceci
2023	J	`jnl`	Multi-view overlapping clustering for the identification of the subject matter of legal judgments. Inf. Sci. Graziella De Martino, Gianvito Pio, Michelangelo Ceci
2023	—	`conf`	Real-Time Anomaly Prediction from Cryptocurrency Time Series. PKDD/ECML Workshops (3) Antonio Pellicani, Gianvito Pio, Sao Deroski, Michelangelo Ceci
2023	J	`jnl`	SAIRUS: Spatially-aware identification of risky users in social networks. Inf. Fusion Antonio Pellicani, Gianvito Pio, Domenico Redavid, Michelangelo Ceci
2022	—	`conf`	Anomaly Detection for Physical Threat Intelligence. itaDATA Paolo Mignone, Donato Malerba, Michelangelo Ceci
2022	—	`conf`	Anomaly Detection for Physical Threat Intelligence. PKDD/ECML Workshops (1) Paolo Mignone, Donato Malerba, Michelangelo Ceci
2022	B	`conf`	Anomaly Detection for Public Transport and Air Pollution Analysis. IEEE Big Data Paolo Mignone, Donato Malerba, Michelangelo Ceci
2022	B	`conf`	Distributed Heterogeneous Transfer Learning for Link Prediction in the Positive Unlabeled Setting. IEEE Big Data Paolo Mignone, Gianvito Pio, Michelangelo Ceci
2022	—	`conf`	Distributed Heterogeneous Transfer Learning. SEBD Paolo Mignone, Gianvito Pio, Michelangelo Ceci
2022	C	`ed.`	Foundations of Intelligent Systems - 26th International Symposium, ISMIS 2022, Cosenza, Italy, October 3-5, 2022, Proceedings ISMIS Michelangelo Ceci, Sergio Flesca, Elio Masciari, Giuseppe Manco, Zbigniew W. Ras
2022	J	`jnl`	Integrating genome-scale metabolic modelling and transfer learning for human gene regulatory network reconstruction. Bioinform. Gianvito Pio, Paolo Mignone, Giuseppe Magazzù, Guido Zampieri, Michelangelo Ceci, Claudio Angione
2022	J	`jnl`	LP-ROBIN: Link prediction in dynamic networks exploiting incremental node embedding. Inf. Sci. Emanuele Pio Barracchia, Gianvito Pio, Albert Bifet, Heitor Murilo Gomes, Bernhard Pfahringer, Michelangelo Ceci
2022	B	`conf`	Leveraging Spatio-Temporal Autocorrelation to Improve the Forecasting of the Energy Consumption in Smart Grids. DS Annunziata D'Aversa, Stefano Polimena, Gianvito Pio, Michelangelo Ceci
2022	J	`jnl`	PRILJ: an efficient two-step method based on embedding and clustering for the identification of regularities in legal case judgments. Artif. Intell. Law Graziella De Martino, Gianvito Pio, Michelangelo Ceci
2022	J	`jnl`	Relational tree ensembles and feature rankings. Knowl. Based Syst. Matej Petkovic, Michelangelo Ceci, Gianvito Pio, Blaz Skrlj, Kristian Kersting, Saso Dzeroski
2022	B	`conf`	Scalable Forecasting in Sensor Networks with Graph Convolutional LSTM Models. IEEE Big Data Massimiliano Altieri, Roberto Corizzo, Michelangelo Ceci
2022	J	`jnl`	Semi-supervised Predictive Clustering Trees for (Hierarchical) Multi-label Classification. CoRR Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski
2021	—	`conf`	A Two-Step Method based on Embedding and Clustering to Identify Regularities in Legal Case Judgements (Discussion Paper). SEBD Graziella De Martino, Gianvito Pio, Michelangelo Ceci
2021	J	`jnl`	BROCCOLI: overlapping and outlier-robust biclustering through proximal stochastic gradient descent. Data Min. Knowl. Discov. Sibylle Hess, Gianvito Pio, Michiel E. Hochstenbach, Michelangelo Ceci
2021	J	`jnl`	Closed sequential pattern mining for sitemap generation. World Wide Web Michelangelo Ceci, Pasqua Fabiana Lanotte
2021	J	`jnl`	Mining emotion-aware sequential rules at user-level from micro-blogs. J. Intell. Inf. Syst. Marjana Prifti Skenduli, Marenglen Biba, Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2021	J	`jnl`	Multi-aspect renewable energy forecasting. Inf. Sci. Roberto Corizzo, Michelangelo Ceci, Hadi Fanaee-T, João Gama
2021	B	`conf`	Spatially-Aware Autoencoders for Detecting Contextual Anomalies in Geo-Distributed Data. DS Roberto Corizzo, Michelangelo Ceci, Gianvito Pio, Paolo Mignone, Nathalie Japkowicz
2020	—	`book`	Complex Pattern Mining - New Challenges, Methods and Applications Complex Pattern Mining Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras
2020	J	`jnl`	Condensed representations of changes in dynamic graphs through emerging subgraph mining. Eng. Appl. Artif. Intell. Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2020	—	`ed.`	Digital Libraries: The Era of Big Data and Data Science - 16th Italian Research Conference on Digital Libraries, IRCDL 2020, Bari, Italy, January 30-31, 2020, Proceedings IRCDL Michelangelo Ceci, Stefano Ferilli, Antonella Poggi
2020	J	`jnl`	ECHAD: Embedding-Based Change Detection From Multivariate Time Series in Smart Grids. IEEE Access Michelangelo Ceci, Roberto Corizzo, Nathalie Japkowicz, Paolo Mignone, Gianvito Pio
2020	—	`ed.`	ECML PKDD 2020 Workshops - Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, September 14-18, 2020, Proceedings PKDD/ECML Workshops Irena Koprinska, Michael Kamp, Annalisa Appice, Corrado Loglisci, Luiza Antonie, Albrecht Zimmermann, Riccardo Guidotti, Özlem Özgöbek, Rita P. Ribeiro, Ricard Gavaldà, João Gama, Linara Adilova, Yamuna Krishnamurthy, Pedro M. Ferreira, Donato Malerba, Ibéria Medeiros, Michelangelo Ceci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras, Peter Christen, Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Anna Monreale, Przemyslaw Biecek, Salvatore Rinzivillo, Benjamin Kille, Andreas Lommatzsch, Jon Atle Gulla
2020	J	`jnl`	Ensembles of extremely randomized predictive clustering trees for predicting structured outputs. Mach. Learn. Dragi Kocev, Michelangelo Ceci, Tomaz Stepisnik
2020	C	`conf`	Estimating the Importance of Relational Features by Using Gradient Boosting. ISMIS Matej Petkovic, Michelangelo Ceci, Kristian Kersting, Saso Dzeroski
2020	—	`ch.`	Exploiting Pattern Set Dissimilarity for Detecting Changes in Communication Networks. Complex Pattern Mining Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2020	J	`jnl`	Exploiting causality in gene network reconstruction based on graph embedding. Mach. Learn. Gianvito Pio, Michelangelo Ceci, Francesca Prisciandaro, Donato Malerba
2020	J	`jnl`	Exploiting transfer learning for the reconstruction of the human gene regulatory network. Bioinform. Paolo Mignone, Gianvito Pio, Domenica D'Elia, Michelangelo Ceci
2020	—	`conf`	Leveraging Multi-target Regression for Predicting the Next Parallel Activities in Event Logs. PKDD/ECML Workshops Michelangelo Ceci, Angelo Impedovo, Antonio Pellicani
2020	—	`ed.`	New Frontiers in Mining Complex Patterns - 8th International Workshop, NFMCP 2019, Held in Conjunction with ECML-PKDD 2019, - Würzburg, Germany, September 16, 2019, Revised Selected Papers NFMCP@PKDD/ECML Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras
2020	—	`conf`	Prediction of New Associations between ncRNAs and Diseases Exploiting Multi-Type Hierarchical Clustering. SEBD Emanuele Pio Barracchia, Gianvito Pio, Domenica D'Elia, Michelangelo Ceci
2020	J	`jnl`	Prediction of new associations between ncRNAs and diseases exploiting multi-type hierarchical clustering. BMC Bioinform. Emanuele Pio Barracchia, Gianvito Pio, Domenica D'Elia, Michelangelo Ceci
2020	J	`jnl`	Scalable auto-encoders for gravitational waves detection from time series data. Expert Syst. Appl. Roberto Corizzo, Michelangelo Ceci, Eftim Zdravevski, Nathalie Japkowicz
2020	J	`jnl`	Semi-supervised regression trees with application to QSAR modelling. Expert Syst. Appl. Jurica Levatic, Michelangelo Ceci, Tomaz Stepisnik, Saso Dzeroski, Dragi Kocev
2020	B	`conf`	Simultaneous Process Drift Detection and Characterization with Pattern-Based Change Detectors. DS Angelo Impedovo, Paolo Mignone, Corrado Loglisci, Michelangelo Ceci
2020	—	`conf`	jKarma: A Highly-Modular Framework for Pattern-Based Change Detection on Evolving Data. SEBD Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2020	J	`jnl`	jKarma: A highly-modular framework for pattern-based change detection on evolving data. Knowl. Based Syst. Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2019	J	`jnl`	Anomaly Detection and Repair for Accurate Predictions in Geo-distributed Big Data. Big Data Res. Roberto Corizzo, Michelangelo Ceci, Nathalie Japkowicz
2019	—	`conf`	Big Data Analytics and Predictive Modeling Approaches for the Energy Sector. BigData Congress Roberto Corizzo, Michelangelo Ceci, Donato Malerba
2019	J	`jnl`	DENCAST: distributed density-based clustering for multi-target regression. J. Big Data Roberto Corizzo, Gianvito Pio, Michelangelo Ceci, Donato Malerba
2019	B	`conf`	Efficient and Accurate Non-exhaustive Pattern-Based Change Detection in Dynamic Networks. DS Angelo Impedovo, Michelangelo Ceci, Toon Calders
2019	—	`conf`	Mining Microscopic and Macroscopic Changes in Network Data Streams (Discussion Paper). SEBD Corrado Loglisci, Angelo Impedovo, Michelangelo Ceci, Donato Malerba
2019	—	`conf`	Positive Unlabeled Link Prediction via Transfer Learning for Gene Network Reconstruction (Discussion Paper). SEBD Paolo Mignone, Gianvito Pio, Michelangelo Ceci
2019	J	`jnl`	Spark-GHSOM: Growing Hierarchical Self-Organizing Map for large scale mixed attribute datasets. Inf. Sci. Ameya Malondkar, Roberto Corizzo, Iluju Kiringa, Michelangelo Ceci, Nathalie Japkowicz
2019	J	`jnl`	Spatial autocorrelation and entropy for renewable energy forecasting. Data Min. Knowl. Discov. Michelangelo Ceci, Roberto Corizzo, Donato Malerba, Aleksandra Rashkovska
2018	—	`conf`	An Empirical Evaluation of Sequential Pattern Mining Algorithms. EIDWT Marjana Prifti Skenduli, Corrado Loglisci, Michelangelo Ceci, Marenglen Biba, Donato Malerba
2018	B	`ed.`	Discovery Science - 21st International Conference, DS 2018, Limassol, Cyprus, October 29-31, 2018, Proceedings DS Larisa N. Soldatova, Joaquin Vanschoren, George A. Papadopoulos, Michelangelo Ceci
2018	C	`conf`	Distributed Learning of Process Models for Next Activity Prediction. IDEAS Michelangelo Ceci, Michele Spagnoletta, Pasqua Fabiana Lanotte, Donato Malerba
2018	J	`jnl`	Ensemble Learning for Multi-Type Classification in Heterogeneous Networks. IEEE Trans. Knowl. Data Eng. Francesco Serafino, Gianvito Pio, Michelangelo Ceci
2018	—	`conf`	Ensemble Learning for Multi-type Classification in Heterogeneous Networks. SEBD Francesco Serafino, Gianvito Pio, Michelangelo Ceci
2018	C	`ed.`	Foundations of Intelligent Systems - 24th International Symposium, ISMIS 2018, Limassol, Cyprus, October 29-31, 2018, Proceedings ISMIS Michelangelo Ceci, Nathalie Japkowicz, Jiming Liu, George A. Papadopoulos, Zbigniew W. Ras
2018	J	`jnl`	Introduction to the special issue on discovery science. Mach. Learn. Michelangelo Ceci, Toon Calders
2018	J	`jnl`	Mining microscopic and macroscopic changes in network data streams. Knowl. Based Syst. Corrado Loglisci, Michelangelo Ceci, Angelo Impedovo, Donato Malerba
2018	J	`jnl`	Multi-type clustering and classification from heterogeneous networks. Inf. Sci. Gianvito Pio, Francesco Serafino, Donato Malerba, Michelangelo Ceci
2018	—	`ch.`	Relational Data Mining in the Era of Big Data. A Comprehensive Guide Through the Italian Database Research Annalisa Appice, Michelangelo Ceci, Donato Malerba
2018	J	`jnl`	Semi-supervised trees for multi-target regression. Inf. Sci. Jurica Levatic, Dragi Kocev, Michelangelo Ceci, Saso Dzeroski
2018	A	`conf`	Toward IoT-Friendly Learning Models. ICDCS Ernesto Damiani, Gabriele Gianini, Michelangelo Ceci, Donato Malerba
2018	C	`conf`	User-Emotion Detection Through Sentence-Based Classification Using Deep Learning: A Case-Study with Microblogs in Albanian. ISMIS Marjana Prifti Skenduli, Marenglen Biba, Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2017	C	`conf`	Exploiting Web Sites Structural and Content Features for Web Pages Clustering. ISMIS Pasqua Fabiana Lanotte, Fabio Fumarola, Donato Malerba, Michelangelo Ceci
2017	—	`conf`	Forecasting via Distributed Density-Based Clustering. SEBD Roberto Corizzo, Gianvito Pio, Michelangelo Ceci, Donato Malerba
2017	—	`conf`	Identifying lncRNA-Disease Relationships via Heterogeneous Clustering. NFMCP@PKDD/ECML Emanuele Pio Barracchia, Gianvito Pio, Donato Malerba, Michelangelo Ceci
2017	B	`conf`	LOCANDA: Exploiting Causality in the Reconstruction of Gene Regulatory Networks. DS Gianvito Pio, Michelangelo Ceci, Francesca Prisciandaro, Donato Malerba
2017	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part I ECML/PKDD (1) Michelangelo Ceci, Jaakko Hollmén, Ljupco Todorovski, Celine Vens, Saso Dzeroski
2017	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part II ECML/PKDD (2) Michelangelo Ceci, Jaakko Hollmén, Ljupco Todorovski, Celine Vens, Saso Dzeroski
2017	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part III ECML/PKDD (3) Yasemin Altun, Kamalika Das, Taneli Mielikäinen, Donato Malerba, Jerzy Stefanowski, Jesse Read, Marinka Zitnik, Michelangelo Ceci, Saso Dzeroski
2017	—	`ed.`	New Frontiers in Mining Complex Patterns - 5th International Workshop, NFMCP 2016, Held in Conjunction with ECML-PKDD 2016, Riva del Garda, Italy, September 19, 2016, Revised Selected Papers NFMCP@ECML/PKDD Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Elio Masciari, Zbigniew W. Ras
2017	J	`jnl`	Predictive Modeling of PV Energy Production: How to Set Up the Learning Task for a Better Prediction? IEEE Trans. Ind. Informatics Michelangelo Ceci, Roberto Corizzo, Fabio Fumarola, Donato Malerba, Aleksandra Rashkovska
2017	J	`jnl`	Self-training for multi-target regression with tree ensembles. Knowl. Based Syst. Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski
2017	J	`jnl`	Semi-supervised classification trees. J. Intell. Inf. Syst. Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski
2017	J	`jnl`	Temporal Pattern Mining from Evolving Networks. CoRR Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci
2016	—	`conf`	Automatic Generation of Sitemaps Based on Navigation Systems. MOD Pasqua Fabiana Lanotte, Fabio Fumarola, Donato Malerba, Michelangelo Ceci
2016	—	`conf`	Big Data Analytics. SEBD Michelangelo Ceci
2016	J	`jnl`	CloFAST: closed sequential pattern mining using sparse and vertical id-lists. Knowl. Inf. Syst. Fabio Fumarola, Pasqua Fabiana Lanotte, Michelangelo Ceci, Donato Malerba
2016	B	`ed.`	Discovery Science - 19th International Conference, DS 2016, Bari, Italy, October 19-21, 2016, Proceedings DS Toon Calders, Michelangelo Ceci, Donato Malerba
2016	—	`conf`	Mining Spatio-Temporal Patterns of Periodic Changes in Climate Data. NFMCP@PKDD/ECML Corrado Loglisci, Michelangelo Ceci, Angelo Impedovo, Donato Malerba
2016	—	`conf`	Multi-Type Classification from Heterogeneous Networks. SEBD Francesco Serafino, Gianvito Pio, Donato Malerba, Michelangelo Ceci
2016	—	`ed.`	New Frontiers in Mining Complex Patterns - 4th International Workshop, NFMCP 2015, Held in Conjunction with ECML-PKDD 2015, Porto, Portugal, September 7, 2015, Revised Selected Papers NFMCP Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras
2016	J	`jnl`	Recent advances in mining patterns from complex data. J. Intell. Inf. Syst. Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari
2016	—	`conf`	Semi-Supervised Multi-View Learning for Gene Network Reconstruction. SEBD Michelangelo Ceci, Gianvito Pio, Vladimir Kuzmanovski, Saso Dzeroski
2015	C	`conf`	Big Data Techniques For Supporting Accurate Predictions of Energy Production From Renewable Sources. IDEAS Michelangelo Ceci, Roberto Corizzo, Fabio Fumarola, Michele Ianni, Donato Malerba, Gaspare Maria, Elio Masciari, Marco Oliverio, Aleksandra Rashkovska
2015	J	`jnl`	ComiRNet: a web-based system for the analysis of miRNA-gene regulatory networks. BMC Bioinform. Gianvito Pio, Michelangelo Ceci, Donato Malerba, Domenica D'Elia
2015	—	`conf`	Discovering Knowledge through Multi-modal Association Rule Mining for Document Image Analysis. IT@LIA@AI*IA Michelangelo Ceci, Corrado Loglisci, Lynn Rudd, Donato Malerba
2015	J	`jnl`	Effectively and efficiently supporting roll-up and drill-down OLAP operations over continuous dimensions via hierarchical clustering. J. Intell. Inf. Syst. Michelangelo Ceci, Alfredo Cuzzocrea, Donato Malerba
2015	B	`conf`	Ensembles of Extremely Randomized Trees for Multi-target Regression. Discovery Science Dragi Kocev, Michelangelo Ceci
2015	B	`conf`	Hierarchical Multidimensional Classification of Web Documents with MultiWebClass. Discovery Science Francesco Serafino, Gianvito Pio, Michelangelo Ceci, Donato Malerba
2015	—	`ed.`	New Frontiers in Mining Complex Patterns - Third International Workshop, NFMCP 2014, Held in Conjunction with ECML-PKDD 2014, Nancy, France, September 19, 2014, Revised Selected Papers NFMCP Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras
2015	J	`jnl`	Relational mining for discovering changes in evolving networks. Neurocomputing Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2015	—	`conf`	Semi-supervised learning for multi-target regression (Discussion paper). SEBD Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski
2015	—	`conf`	VIPOC Project Research Summary (Discussion Paper). SEBD Michelangelo Ceci, Roberto Corizzo, Fabio Fumarola, Michele Ianni, Donato Malerba, Gaspare Maria, Elio Masciari, Marco Oliverio, Aleksandra Rashkovska
2014	C	`conf`	Automatic Extraction of Logical Web Lists. ISMIS Pasqua Fabiana Lanotte, Fabio Fumarola, Michelangelo Ceci, Andrea Scarpino, Michele Damiano Torelli, Donato Malerba
2014	—	`conf`	Big Data Techniques For Renewable Energy Market. SEBD Michelangelo Ceci, Nunziato Cassavia, Roberto Corizzo, Pietro Dicosta, Donato Malerba, Gaspare Maria, Elio Masciari, Camillo Pastura
2014	B	`conf`	Completion Time and Next Activity Prediction of Processes Using Sequential Pattern Mining. Discovery Science Michelangelo Ceci, Pasqua Fabiana Lanotte, Fabio Fumarola, Dario Pietro Cavallo, Donato Malerba
2014	J	`jnl`	Discovering Novelty Patterns from the Ancient Christian Inscriptions of Rome. ACM Journal on Computing and Cultural Heritage Gianvito Pio, Fabio Fumarola, Antonio E. Felle, Donato Malerba, Michelangelo Ceci
2014	C	`conf`	Innovative power operating center management exploiting big data techniques. IDEAS Michelangelo Ceci, Nunziato Cassavia, Roberto Corizzo, Pietro Dicosta, Donato Malerba, Gaspare Maria, Elio Masciari, Camillo Pastura
2014	J	`jnl`	Integrating microRNA target predictions for the discovery of gene regulatory networks: a semi-supervised ensemble learning approach. BMC Bioinform. Gianvito Pio, Donato Malerba, Domenica D'Elia, Michelangelo Ceci
2014	—	`conf`	Learning to Combine miRNA Target Predictions: a Semi-supervised Ensemble Learning Approach. SEBD Gianvito Pio, Michelangelo Ceci, Domenica D'Elia, Donato Malerba
2014	C	`conf`	Mining Temporal Evolution of Entities in a Stream of Textual Documents. ISMIS Gianvito Pio, Pasqua Fabiana Lanotte, Michelangelo Ceci, Donato Malerba
2014	J	`jnl`	Mining complex patterns. J. Intell. Inf. Syst. Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Elio Masciari, Giuseppe Manco
2014	J	`jnl`	Multi-Relational Model Tree Induction Tightly-Coupled with a Relational Database. Fundam. Informaticae Annalisa Appice, Michelangelo Ceci, Donato Malerba
2014	—	`conf`	Network Reconstruction for the Identification of miRNA: mRNA Interaction Networks. ECML/PKDD (3) Gianvito Pio, Michelangelo Ceci, Domenica D'Elia, Donato Malerba
2014	—	`ed.`	New Frontiers in Mining Complex Patterns - Second International Workshop, NFMCP 2013, Held in Conjunction with ECML-PKDD 2013, Prague, Czech Republic, September 27, 2013, Revised Selected Papers NFMCP Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras
2014	—	`conf`	Ranking Sentences for Keyphrase Extraction: A Relational Data Mining Approach. IRCDL Michelangelo Ceci, Corrado Loglisci, Lucrezia Macchia
2014	—	`conf`	Semi-supervised Learning for Multi-target Regression. NFMCP Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski
2013	J	`jnl`	A Novel Biclustering Algorithm for the Discovery of Meaningful Biological Correlations between microRNAs and their Target Genes. BMC Bioinform. Gianvito Pio, Michelangelo Ceci, Domenica D'Elia, Corrado Loglisci, Donato Malerba
2013	J	`jnl`	Dealing with spatial autocorrelation when learning predictive clustering trees. Ecol. Informatics Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Donato Malerba, Saso Dzeroski
2013	—	`conf`	EDB: Knowledge Technologies for Ancient Greek and Latin Epigraphy. IRCDL Fabio Fumarola, Gianvito Pio, Antonio E. Felle, Donato Malerba, Michelangelo Ceci
2013	—	`conf`	HOCCLUS2: A Biclustering Algorithm for the Discovery of miRNA: mRNA regulatory modules. SEBD Gianvito Pio, Michelangelo Ceci, Domenica D'Elia, Corrado Loglisci, Donato Malerba
2013	B	`conf`	Learning Hierarchical Multi-label Classification Trees from Network Data. Discovery Science Daniela Stojanova, Michelangelo Ceci, Donato Malerba, Saso Dzeroski
2013	—	`ed.`	New Frontiers in Mining Complex Patterns - First International Workshop, NFMCP 2012, Held in Conjunction with ECML/PKDD 2012, Bristol, UK, September 24, 2012, Revised Selected Papers NFMCP Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras
2013	J	`jnl`	Using PPI network autocorrelation in hierarchical multi-label classification trees for gene function prediction. BMC Bioinform. Daniela Stojanova, Michelangelo Ceci, Donato Malerba, Saso Dzeroski
2012	—	`conf`	A Framework for Biological Data Normalization, Interoperability, and Mining for Cancer Microenvironment Analysis. SEBD Michelangelo Ceci, Mauro Coluccia, Fabio Fumarola, Pietro Hiram Guzzi, Federica Mandreoli, Riccardo Martoglia, Elio Masciari, Massimo Mecella, Wilma Penzo
2012	—	`conf`	Discovering Evolution Chains in Dynamic Networks. NFMCP Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2012	—	`conf`	Document Image Understanding through Iterative Transductive Learning. IRCDL Michelangelo Ceci, Corrado Loglisci, Lucrezia Macchia, Donato Malerba, Luciano Quercia
2012	A	`conf`	Hierarchical and Overlapping Co-Clustering of mRNA: miRNA Interactions. ECAI Gianvito Pio, Michelangelo Ceci, Corrado Loglisci, Domenica D'Elia, Donato Malerba
2012	—	`conf`	Learning to Rank from Concept-Drifting Network Data Streams. DEXA (1) Lucrezia Macchia, Michelangelo Ceci, Donato Malerba
2012	—	`conf`	Mining Ranking Models from Dynamic Network Data. MLDM Lucrezia Macchia, Michelangelo Ceci, Donato Malerba
2012	—	`conf`	Mining Temporal Evolution of Criminal Behaviors. SEBD Gianvito Pio, Michelangelo Ceci, Donato Malerba
2012	J	`jnl`	Network regression with predictive clustering trees. Data Min. Knowl. Discov. Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Saso Dzeroski
2012	J	`jnl`	The IS-BioBank project: a framework for biological data normalization, interoperability, and mining for cancer microenvironment analysis. SIGHIT Rec. Michelangelo Ceci, Pietro Hiram Guzzi, Elio Masciari, Mauro Coluccia, Federica Mandreoli, Massimo Mecella, Fabio Fumarola, Riccardo Martoglia, Wilma Penzo
2012	—	`conf`	Toward a Semantic Framework for the Querying, Mining and Visualization of Cancer Microenvironment Data. ITBAM Michelangelo Ceci, Fabio Fumarola, Pietro Hiram Guzzi, Federica Mandreoli, Riccardo Martoglia, Elio Masciari, Massimo Mecella, Wilma Penzo
2012	—	`conf`	Transductive Relational Classification in the Co-training Paradigm. MLDM Michelangelo Ceci, Annalisa Appice, Herna L. Viktor, Donato Malerba, Eric Paquet, Hongyu Guo
2011	—	`conf`	A Temporal Data Mining Framework for Analyzing Longitudinal Data. DEXA (2) Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2011	J	`jnl`	A parallel, distributed algorithm for relational frequent pattern discovery from very large data sets. Intell. Data Anal. Annalisa Appice, Michelangelo Ceci, Antonio Turi, Donato Malerba
2011	—	`conf`	Discovering Temporal Bisociations for Linking Concepts over Time. ECML/PKDD (2) Corrado Loglisci, Michelangelo Ceci
2011	C	`conf`	Discovering process models through relational disjunctive patterns mining. CIDM Corrado Loglisci, Michelangelo Ceci, Annalisa Appice, Donato Malerba
2011	B	`conf`	Global and Local Spatial Autocorrelation in Predictive Clustering Trees. Discovery Science Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Donato Malerba, Saso Dzeroski
2011	—	`conf`	Learning and Transferring Geographically Weighted Regression Trees across Time. MSM/MUSE Annalisa Appice, Michelangelo Ceci, Donato Malerba, Antonietta Lanza
2011	—	`conf`	MBlab: Molecular Biodiversity Laboratory. IRCDL Corrado Loglisci, Annalisa Appice, Michelangelo Ceci, Donato Malerba, Floriana Esposito
2011	—	`ch.`	Mining Spatial Association Rules for Composite Motif Discovery. Mathematical Approaches to Polymer Sequence Analysis and Related Problems Michelangelo Ceci, Corrado Loglisci, Eliana Salvemini, Domenica D'Elia, Donato Malerba
2011	—	`conf`	Network Regression with Predictive Clustering Trees. ECML/PKDD (3) Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Saso Dzeroski
2011	—	`conf`	OLAP over Continuous Domains via Density-Based Hierarchical Clustering. KES (2) Michelangelo Ceci, Alfredo Cuzzocrea, Donato Malerba
2011	—	`conf`	Project D.A.M.A.: Document Acquisition, Management and Archiving. IRCDL Michelangelo Ceci, Corrado Loglisci, Stefano Ferilli, Donato Malerba
2011	—	`conf`	Relational Disjunctive Patterns Mining for Discovering Frequent Variants in Process Models. SEBD Corrado Loglisci, Michelangelo Ceci, Annalisa Appice, Donato Malerba
2011	C	`conf`	Relational Mining in Spatial Domains: Accomplishments and Challenges. ISMIS Donato Malerba, Michelangelo Ceci, Annalisa Appice
2011	—	`conf`	Supporting Roll-Up and Drill-Down Operations over OLAP Data Cubes with Continuous Dimensions via Density-Based Hierarchical Clustering. SEBD Michelangelo Ceci, Alfredo Cuzzocrea, Donato Malerba
2011	—	`ch.`	Transductive Learning of Logical Structures from Document Images. Learning Structure and Schemas from Documents Michelangelo Ceci, Corrado Loglisci, Donato Malerba
2010	B	`conf`	A Relational Approach for Discovering Frequent Patterns with Disjunctions. DaWak Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2010	Misc	`conf`	Complex objects ranking: a relational data mining approach. SAC Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Donato Malerba
2010	—	`conf`	Discovering Informative Syntactic Relationships between Named Entities in Biomedical Literature. DBKDA Annalisa Appice, Michelangelo Ceci, Corrado Loglisci
2010	—	`conf`	Discovering Temporal Patterns of Complex Events in Biosignal Data. SEBD Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2010	—	`conf`	Hierarchical Transductive Classification from Textual Data with Relevant Example Selection. SEBD Michelangelo Ceci, Pasqua Fabiana Lanotte
2010	A	`conf`	Mining Physiological Data for Discovering Temporal Patterns on Disease Stages. ECAI Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2010	—	`conf`	Relational Learning of Disjunctive Patterns in Spatial Networks. NyNaK Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2010	—	`conf`	Suggesting Tourist Destinations by means of Time-Slice Density Estimation. SEBD Michelangelo Ceci, Annalisa Appice, Donato Malerba, Nicola Schirone, Nicola Davide Traversa, Valerio Valrosso
2010	A	`conf`	Time-Slice Density Estimation for Semantic-Based Tourist Destination Suggestion. ECAI Michelangelo Ceci, Annalisa Appice, Donato Malerba
2010	—	`ch.`	Transductive Learning for Spatial Data Classification. Advances in Machine Learning I Michelangelo Ceci, Annalisa Appice, Donato Malerba
2010	—	`conf`	Transductive Learning from Textual Data with Relevant Example Selection. DEXA (2) Michelangelo Ceci
2010	Misc	`conf`	Transductive learning for spatial regression with co-training. SAC Annalisa Appice, Michelangelo Ceci, Donato Malerba
2009	C	`conf`	A Knowledge-Based Framework for Information Extraction from Clinical Practice Guidelines. ISMIS Corrado Loglisci, Michelangelo Ceci, Donato Malerba
2009	—	`conf`	A Relational Approach to Novelty Detection in Data Streams. SEBD Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Michele Todaro, Donato Malerba
2009	J	`jnl`	A relational approach to probabilistic classification in a transductive setting. Eng. Appl. Artif. Intell. Donato Malerba, Michelangelo Ceci, Annalisa Appice
2009	B	`conf`	An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting. Discovery Science Annalisa Appice, Michelangelo Ceci, Donato Malerba
2009	—	`conf`	Mining preference relations to rank complex object. SEBD Michelangelo Ceci, Annalisa Appice, Giuseppe De Giosa, Gianluigi Dileo, Alessandro Lallo, Donato Malerba
2009	C	`conf`	Novelty Detection from Evolving Complex Data Streams with Time Windows. ISMIS Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Donato Malerba
2009	—	`conf`	Relational Frequent Patterns Mining for Novelty Detection from Data Streams. MLDM Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Carmine Valente, Donato Malerba
2009	—	`conf`	Spatial Regression in the Transductive Setting. SEBD Annalisa Appice, Michelangelo Ceci, Vincenzo Rizzi, Marco Romano, Donato Malerba
2008	C	`conf`	A Grid-Based Multi-relational Approach to Process Mining. DEXA Antonio Turi, Annalisa Appice, Michelangelo Ceci, Donato Malerba
2008	C	`conf`	Discovering Emerging Patterns for Anomaly Detection in Network Connection Data. ISMIS Michelangelo Ceci, Annalisa Appice, Costantina Caruso, Donato Malerba
2008	—	`conf`	Distributed Discovery of Multi-Level Approximate Process Patterns. SEBD Antonio Turi, Annalisa Appice, Michelangelo Ceci, Donato Malerba
2008	C	`conf`	Emerging Pattern Based Classification in Relational Data Mining. DEXA Michelangelo Ceci, Annalisa Appice, Donato Malerba
2008	—	`conf`	Hierarchical Text Categorization in a Transductive Setting. ICDM Workshops Michelangelo Ceci
2008	—	`ch.`	Machine Learning for Reading Order Detection in Document Image Understanding. Machine Learning in Document Analysis and Recognition Donato Malerba, Michelangelo Ceci, Margherita Berardi
2008	—	`conf`	Relational Classification based on Emerging Patterns. SEBD Michelangelo Ceci, Annalisa Appice, Lucrezia Macchia, Donato Malerba
2008	C	`conf`	Stepwise Induction of Logistic Model Trees. ISMIS Annalisa Appice, Michelangelo Ceci, Donato Malerba, Savino Saponara
2008	B	`conf`	Top-Down Induction of Relational Model Trees in Multi-instance Learning. ILP Annalisa Appice, Michelangelo Ceci, Donato Malerba
2007	A	`conf`	A Data Mining Approach to Reading Order Detection. ICDAR Michelangelo Ceci, Margherita Berardi, G. Porcelli, Donato Malerba
2007	J	`jnl`	Classifying web documents in a hierarchy of categories: a comprehensive study. J. Intell. Inf. Syst. Michelangelo Ceci, Donato Malerba
2007	—	`conf`	Discovering Emerging Patterns in Spatial Databases: A Multi-relational Approach. PKDD Michelangelo Ceci, Annalisa Appice, Donato Malerba
2007	—	`conf`	Discovering Relational Emerging Patterns. AI*IA Annalisa Appice, Michelangelo Ceci, Carlo Malgieri, Donato Malerba
2007	—	`conf`	Learning to Order: A Relational Approach. MCD Donato Malerba, Michelangelo Ceci
2007	—	`ed.`	Proceedings of the Fifteenth Italian Symposium on Advanced Database Systems, SEBD 2007, 17-20 June 2007, Torre Canne, Fasano, BR, Italy SEBD Michelangelo Ceci, Donato Malerba, Letizia Tanca
2007	J	`jnl`	Relational Data Mining and ILP for Document Image Understanding. Appl. Artif. Intell. Michelangelo Ceci, Margherita Berardi, Donato Malerba
2007	—	`conf`	Transductive Learning from Relational Data. MLDM Michelangelo Ceci, Annalisa Appice, Nicola Barile, Donato Malerba
2007	J	`jnl`	Using colour information to understand censorship cards of film archives. Int. J. Document Anal. Recognit. Oronzo Altamura, Margherita Berardi, Michelangelo Ceci, Donato Malerba, Antonio Varlaro
2006	C	`conf`	Mining Tolerance Regions with Model Trees. ISMIS Annalisa Appice, Michelangelo Ceci
2006	—	`conf`	Relational Data Mining Techniques for Historical Document Processing. SEBD Michelangelo Ceci, Donato Malerba
2006	J	`jnl`	Spatial associative classification: propositional vs structural approach. J. Intell. Inf. Syst. Michelangelo Ceci, Annalisa Appice
2005	A	`conf`	A color-based layout analysis to process censorship cards of film archives. ICDAR Margherita Berardi, Oronzo Altamura, Michelangelo Ceci, Donato Malerba
2005	—	`conf`	Mining Model Trees from Spatial Data. PKDD Donato Malerba, Michelangelo Ceci, Annalisa Appice
2005	—	`conf`	Mining Relational Association Rules for Propositional Classification. AI*IA Annalisa Appice, Michelangelo Ceci, Donato Malerba
2005	C	`conf`	Mining and Filtering Multi-level Spatial Association Rules with ARES. ISMIS Annalisa Appice, Margherita Berardi, Michelangelo Ceci, Donato Malerba
2005	—	`—`	Naive bayesian learning from structural data. Michelangelo Ceci
2005	—	`conf`	Propositionalization Through Relational Association Rules Mining. SEBD Michelangelo Ceci, Annalisa Appice, Donato Malerba
2005	A	`conf`	Relational Learning techniques for Document Image Understanding: Comparing Statistical and Logical approaches. ICDAR Michelangelo Ceci, Margherita Berardi, Donato Malerba
2005	—	`conf`	Relational Learning: Statistical Approach Versus Logical Approach in Document Image Understanding. AI*IA Michelangelo Ceci, Margherita Berardi, Donato Malerba
2004	—	`ch.`	A Data Mining Query Language for Knowledge Discovery in a Geographical Information System. Database Support for Data Mining Applications Donato Malerba, Annalisa Appice, Michelangelo Ceci
2004	—	`conf`	Machine Learning Methods for Automatically Processing Historical Documents: From Paper Acquisition to XML Transformation. DIAL Floriana Esposito, Donato Malerba, Giovanni Semeraro, Stefano Ferilli, Oronzo Altamura, Teresa Maria Altomare Basile, Margherita Berardi, Michelangelo Ceci, Nicola Di Mauro
2004	—	`conf`	Mining interesting spatial association rules: two case studies. SEBD Annalisa Appice, Margherita Berardi, Michelangelo Ceci, Michele Lapi, Donato Malerba, Antonio Turi
2004	A*	`conf`	Redundant feature elimination for multi-class problems. ICML Annalisa Appice, Michelangelo Ceci, Simon Alan Rawles, Peter A. Flach
2004	—	`conf`	Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach. PKDD Michelangelo Ceci, Annalisa Appice, Donato Malerba
2004	J	`jnl`	Top-Down Induction of Model Trees with Regression and Splitting Nodes. IEEE Trans. Pattern Anal. Mach. Intell. Donato Malerba, Floriana Esposito, Michelangelo Ceci, Annalisa Appice
2003	—	`conf`	Automated Classification of Web Documents into a Hierarchy of Categories. IIS Michelangelo Ceci, Floriana Esposito, Michele Lapi, Donato Malerba
2003	C	`conf`	Comparing Simplification Methods for Model Trees with Regression and Splitting Nodes. ISMIS Michelangelo Ceci, Annalisa Appice, Donato Malerba
2003	A	`conf`	Correcting the Document Layout: A Machine Learning Approach. ICDAR Donato Malerba, Floriana Esposito, Oronzo Altamura, Michelangelo Ceci, Margherita Berardi
2003	J	`jnl`	Discovery of spatial association rules in geo-referenced census data: A relational mining approach. Intell. Data Anal. Annalisa Appice, Michelangelo Ceci, Antonietta Lanza, Francesca A. Lisi, Donato Malerba
2003	—	`conf`	Document-Centered Collaboration for Scholars in the Humanities - The COLLATE System. ECDL Ingo Frommholz, Holger Brocks, Ulrich Thiel, Erich J. Neuhold, Luigi Iannone, Giovanni Semeraro, Margherita Berardi, Michelangelo Ceci
2003	A	`conf`	Hierarchical Classification of HTML Documents with WebClassII. ECIR Michelangelo Ceci, Donato Malerba
2003	A*	`conf`	Learning Logic Programs for Layout Analysis Correction. ICML Margherita Berardi, Michelangelo Ceci, Floriana Esposito, Donato Malerba
2003	—	`conf`	MR-SMOTI: A Data Mining System for Regression Tasks Tightly-Coupled with a Relational Database. KDID Annalisa Appice, Michelangelo Ceci, Donato Malerba
2003	—	`conf`	Mining Model Trees with Regression and Splitting Nodes. SEBD Annalisa Appice, Michelangelo Ceci, Floriana Esposito, Donato Malerba
2003	B	`conf`	Mining Model Trees: A Multi-relational Approach. ILP Annalisa Appice, Michelangelo Ceci, Donato Malerba
2003	—	`conf`	Mr-SBC: A Multi-relational Naïve Bayes Classifier. PKDD Michelangelo Ceci, Annalisa Appice, Donato Malerba
2003	—	`conf`	Multi-relational Structural Bayesian Classifier. AI*IA Michelangelo Ceci, Annalisa Appice, Donato Malerba, Vincenzo Colonna
2003	—	`conf`	Simplification Methods for Model Trees with Regression and Splitting Nodes. MLDM Michelangelo Ceci, Annalisa Appice, Donato Malerba
2003	—	`conf`	Stepwise Model Tree Induction in a Multi-Relational Framework. SEBD Annalisa Appice, Michelangelo Ceci, Donato Malerba, D. Sacchi
2003	C	`conf`	XML and Knowledge Technologies for Semantic-Based Indexing of Paper Documents. DEXA Donato Malerba, Michelangelo Ceci, Margherita Berardi
2002	—	`conf`	KDB2000: Uno strumento per la scoperta della conoscenza. SEBD Annalisa Appice, Michelangelo Ceci, Donato Malerba
2002	—	`conf`	Mining Classification and Association Rules in Geographical Data with SDMOQL. SEBD Donato Malerba, Annalisa Appice, Michelangelo Ceci, Nicola Vacca
2002	—	`conf`	Mining HTML Pages to Support Document Sharing in a Cooperative System. EDBT Workshops Donato Malerba, Floriana Esposito, Michelangelo Ceci
2002	C	`conf`	Trading-Off Local versus Global Effects of Regression Nodes in Model Trees. ISMIS Donato Malerba, Annalisa Appice, Michelangelo Ceci, Marianna Monopoli
2001	—	`conf`	Generating Logic Descriptions for the Automated Interpretation of Topographic Maps. GREC Antonietta Lanza, Donato Malerba, Francesca A. Lisi, Annalisa Appice, Michelangelo Ceci
2001	—	`conf`	Stepwise Induction of Model Trees. AI*IA Donato Malerba, Annalisa Appice, Antonia Bellino, Michelangelo Ceci, Domenico Pallotta