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ORCIDMichelangelo Ceci
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- affiliation: University of Bari, Italy
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2020 – today
- 2025
[j62]Antonio Pellicani
, Gianvito Pio, Michelangelo Ceci:
CARROT: Simultaneous prediction of anomalies from groups of correlated cryptocurrency trends. Expert Syst. Appl. 260: 125457 (2025)- 2024
- [j61]Paolo Mignone, Gianvito Pio, Michelangelo Ceci:
Distributed Heterogeneous Transfer Learning. Big Data Res. 37: 100456 (2024) - [j60]Andrea Simeon, Milos Radovanovic, Tatjana Loncar-Turukalo, Michelangelo Ceci, Sanja Brdar, Gianvito Pio:
Multi-class boosting for the analysis of multiple incomplete views on microbiome data. BMC Bioinform. 25(1): 188 (2024) - [j59]Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski:
Semi-Supervised Predictive Clustering Trees for (Hierarchical) Multi-Label Classification. Int. J. Intell. Syst. 2024: 1-21 (2024) - [j58]Michelangelo Ceci, Sergio Flesca, Giuseppe Manco, Elio Masciari:
Special issue on intelligent systems. J. Intell. Inf. Syst. 62(4): 883-886 (2024) - [j57]Corrado Loglisci, Angelo Impedovo, Toon Calders, Michelangelo Ceci:
Heuristic approaches for non-exhaustive pattern-based change detection in dynamic networks. J. Intell. Inf. Syst. 62(5): 1455-1492 (2024) - [j56]Paolo Mignone, Roberto Corizzo, Michelangelo Ceci:
Distributed and explainable GHSOM for anomaly detection in sensor networks. Mach. Learn. 113(7): 4445-4486 (2024) - [j55]Massimiliano Altieri, Roberto Corizzo, Michelangelo Ceci:
GAP-LSTM: Graph-Based Autocorrelation Preserving Networks for Geo-Distributed Forecasting. IEEE Trans. Neural Networks Learn. Syst. 35(9): 11773-11787 (2024) - [c140]Stefano Polimena, Gianvito Pio, Giovanni Attolico, Michelangelo Ceci:
Improving the Robustness to Color Perturbations of Classification and Regression Models in the Visual Evaluation of Fruits and Vegetables. ISMIS 2024: 3-13 - [c139]Daniele Rosa, Antonio Pellicani, Gianvito Pio, Domenica D'Elia, Michelangelo Ceci:
Exploiting microRNA Expression Data for the Diagnosis of Disease Conditions and the Discovery of Novel Biomarkers. ISMIS 2024: 77-86 - [e18]Maurizio Atzori, Paolo Ciaccia, Michelangelo Ceci, Federica Mandreoli, Donato Malerba, Manuela Sanguinetti, Antonio Pellicani, Federico Motta:
Proceedings of the 32nd Symposium of Advanced Database Systems, Villasimius, Italy, June 23rd to 26th, 2024. CEUR Workshop Proceedings 3741, CEUR-WS.org 2024 [contents] - 2023
- [j54]Antonio Pellicani, Gianvito Pio, Domenico Redavid, Michelangelo Ceci:
SAIRUS: Spatially-aware identification of risky users in social networks. Inf. Fusion 92: 435-449 (2023) - [j53]Graziella De Martino, Gianvito Pio, Michelangelo Ceci:
Multi-view overlapping clustering for the identification of the subject matter of legal judgments. Inf. Sci. 638: 118956 (2023) - [j52]Roberto Corizzo, Gianvito Pio, Emanuele Pio Barracchia, Antonio Pellicani, Nathalie Japkowicz, Michelangelo Ceci:
HURI: Hybrid user risk identification in social networks. World Wide Web (WWW) 26(5): 3409-3439 (2023) - [c138]Massimiliano Altieri, Michelangelo Ceci, Roberto Corizzo:
Explainable Spatio-Temporal Graph Modeling. DS 2023: 174-188 - [c137]Antonio Pellicani, Gianvito Pio, Sao Deroski, Michelangelo Ceci:
Real-Time Anomaly Prediction from Cryptocurrency Time Series. PKDD/ECML Workshops (3) 2023: 553-561 - [c136]Antonio Pellicani, Gianvito Pio, Michelangelo Ceci:
A Multi-Perspective Approach for Risky User Identification in Social Networks. SEBD 2023: 665-673 - 2022
- [j51]Graziella De Martino, Gianvito Pio, Michelangelo Ceci:
PRILJ: an efficient two-step method based on embedding and clustering for the identification of regularities in legal case judgments. Artif. Intell. Law 30(3): 359-390 (2022) - [j50]Gianvito Pio, Paolo Mignone, Giuseppe Magazzù, Guido Zampieri, Michelangelo Ceci, Claudio Angione:
Integrating genome-scale metabolic modelling and transfer learning for human gene regulatory network reconstruction. Bioinform. 38(2): 487-493 (2022) - [j49]Emanuele Pio Barracchia, Gianvito Pio, Albert Bifet, Heitor Murilo Gomes, Bernhard Pfahringer, Michelangelo Ceci:
LP-ROBIN: Link prediction in dynamic networks exploiting incremental node embedding. Inf. Sci. 606: 702-721 (2022) - [j48]Matej Petkovic, Michelangelo Ceci, Gianvito Pio, Blaz Skrlj, Kristian Kersting, Saso Dzeroski:
Relational tree ensembles and feature rankings. Knowl. Based Syst. 251: 109254 (2022) - [c135]Paolo Mignone, Donato Malerba, Michelangelo Ceci:
Anomaly Detection for Public Transport and Air Pollution Analysis. IEEE Big Data 2022: 2867-2874 - [c134]Massimiliano Altieri, Roberto Corizzo, Michelangelo Ceci:
Scalable Forecasting in Sensor Networks with Graph Convolutional LSTM Models. IEEE Big Data 2022: 4595-4600 - [c133]Paolo Mignone, Gianvito Pio, Michelangelo Ceci:
Distributed Heterogeneous Transfer Learning for Link Prediction in the Positive Unlabeled Setting. IEEE Big Data 2022: 5536-5541 - [c132]Annunziata D'Aversa, Stefano Polimena, Gianvito Pio, Michelangelo Ceci:
Leveraging Spatio-Temporal Autocorrelation to Improve the Forecasting of the Energy Consumption in Smart Grids. DS 2022: 141-156 - [c131]Paolo Mignone, Donato Malerba, Michelangelo Ceci:
Anomaly Detection for Physical Threat Intelligence. itaDATA 2022: 39-50 - [c130]Paolo Mignone, Donato Malerba, Michelangelo Ceci:
Anomaly Detection for Physical Threat Intelligence. PKDD/ECML Workshops (1) 2022: 281-292 - [c129]Paolo Mignone, Gianvito Pio, Michelangelo Ceci:
Distributed Heterogeneous Transfer Learning. SEBD 2022: 351-358 - [e17]Michelangelo Ceci, Sergio Flesca, Elio Masciari, Giuseppe Manco, Zbigniew W. Ras:
Foundations of Intelligent Systems - 26th International Symposium, ISMIS 2022, Cosenza, Italy, October 3-5, 2022, Proceedings. Lecture Notes in Computer Science 13515, Springer 2022, ISBN 978-3-031-16563-4 [contents] - [i2]Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski:
Semi-supervised Predictive Clustering Trees for (Hierarchical) Multi-label Classification. CoRR abs/2207.09237 (2022) - 2021
- [j47]Sibylle Hess, Gianvito Pio, Michiel E. Hochstenbach, Michelangelo Ceci:
BROCCOLI: overlapping and outlier-robust biclustering through proximal stochastic gradient descent. Data Min. Knowl. Discov. 35(6): 2542-2576 (2021) - [j46]Roberto Corizzo, Michelangelo Ceci, Hadi Fanaee-T, João Gama:
Multi-aspect renewable energy forecasting. Inf. Sci. 546: 701-722 (2021) - [j45]Marjana Prifti Skenduli, Marenglen Biba, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Mining emotion-aware sequential rules at user-level from micro-blogs. J. Intell. Inf. Syst. 57(2): 369-394 (2021) - [j44]Michelangelo Ceci, Pasqua Fabiana Lanotte:
Closed sequential pattern mining for sitemap generation. World Wide Web 24(1): 175-203 (2021) - [c128]Roberto Corizzo, Michelangelo Ceci, Gianvito Pio, Paolo Mignone, Nathalie Japkowicz:
Spatially-Aware Autoencoders for Detecting Contextual Anomalies in Geo-Distributed Data. DS 2021: 461-471 - [c127]Graziella De Martino, Gianvito Pio, Michelangelo Ceci:
A Two-Step Method based on Embedding and Clustering to Identify Regularities in Legal Case Judgements (Discussion Paper). SEBD 2021: 379-386 - 2020
- [j43]Michelangelo Ceci, Roberto Corizzo, Nathalie Japkowicz, Paolo Mignone, Gianvito Pio:
ECHAD: Embedding-Based Change Detection From Multivariate Time Series in Smart Grids. IEEE Access 8: 156053-156066 (2020) - [j42]Paolo Mignone, Gianvito Pio, Domenica D'Elia, Michelangelo Ceci:
Exploiting transfer learning for the reconstruction of the human gene regulatory network. Bioinform. 36(5): 1553-1561 (2020) - [j41]Emanuele Pio Barracchia, Gianvito Pio, Domenica D'Elia, Michelangelo Ceci:
Prediction of new associations between ncRNAs and diseases exploiting multi-type hierarchical clustering. BMC Bioinform. 21(1): 70 (2020) - [j40]Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Condensed representations of changes in dynamic graphs through emerging subgraph mining. Eng. Appl. Artif. Intell. 94: 103830 (2020) - [j39]Roberto Corizzo, Michelangelo Ceci, Eftim Zdravevski, Nathalie Japkowicz:
Scalable auto-encoders for gravitational waves detection from time series data. Expert Syst. Appl. 151: 113378 (2020) - [j38]Jurica Levatic, Michelangelo Ceci, Tomaz Stepisnik, Saso Dzeroski, Dragi Kocev:
Semi-supervised regression trees with application to QSAR modelling. Expert Syst. Appl. 158: 113569 (2020) - [j37]Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
jKarma: A highly-modular framework for pattern-based change detection on evolving data. Knowl. Based Syst. 192: 105303 (2020) - [j36]Gianvito Pio, Michelangelo Ceci, Francesca Prisciandaro, Donato Malerba:
Exploiting causality in gene network reconstruction based on graph embedding. Mach. Learn. 109(6): 1231-1279 (2020) - [j35]Dragi Kocev, Michelangelo Ceci, Tomaz Stepisnik:
Ensembles of extremely randomized predictive clustering trees for predicting structured outputs. Mach. Learn. 109(11): 2213-2241 (2020) - [c126]Angelo Impedovo, Paolo Mignone, Corrado Loglisci, Michelangelo Ceci:
Simultaneous Process Drift Detection and Characterization with Pattern-Based Change Detectors. DS 2020: 451-467 - [c125]Matej Petkovic, Michelangelo Ceci, Kristian Kersting, Saso Dzeroski:
Estimating the Importance of Relational Features by Using Gradient Boosting. ISMIS 2020: 362-371 - [c124]Michelangelo Ceci, Angelo Impedovo, Antonio Pellicani:
Leveraging Multi-target Regression for Predicting the Next Parallel Activities in Event Logs. PKDD/ECML Workshops 2020: 237-248 - [c123]Emanuele Pio Barracchia, Gianvito Pio, Domenica D'Elia, Michelangelo Ceci:
Prediction of New Associations between ncRNAs and Diseases Exploiting Multi-Type Hierarchical Clustering. SEBD 2020: 160-167 - [c122]Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
jKarma: A Highly-Modular Framework for Pattern-Based Change Detection on Evolving Data. SEBD 2020: 343-350 - [p7]Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Exploiting Pattern Set Dissimilarity for Detecting Changes in Communication Networks. Complex Pattern Mining 2020: 137-152 - [e16]Michelangelo Ceci, Stefano Ferilli, Antonella Poggi:
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. Communications in Computer and Information Science 1177, Springer 2020, ISBN 978-3-030-39904-7 [contents] - [e15]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:
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. Communications in Computer and Information Science 1323, Springer 2020, ISBN 978-3-030-65964-6 [contents] - [e14]Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras:
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. Lecture Notes in Computer Science 11948, Springer 2020, ISBN 978-3-030-48860-4 [contents] - [e13]Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras:
Complex Pattern Mining - New Challenges, Methods and Applications. Studies in Computational Intelligence 880, Springer 2020, ISBN 978-3-030-36616-2 [contents]
2010 – 2019
- 2019
- [j34]Roberto Corizzo, Michelangelo Ceci, Nathalie Japkowicz:
Anomaly Detection and Repair for Accurate Predictions in Geo-distributed Big Data. Big Data Res. 16: 18-35 (2019) - [j33]Michelangelo Ceci, Roberto Corizzo, Donato Malerba, Aleksandra Rashkovska:
Spatial autocorrelation and entropy for renewable energy forecasting. Data Min. Knowl. Discov. 33(3): 698-729 (2019) - [j32]Ameya Malondkar, Roberto Corizzo, Iluju Kiringa, Michelangelo Ceci, Nathalie Japkowicz:
Spark-GHSOM: Growing Hierarchical Self-Organizing Map for large scale mixed attribute datasets. Inf. Sci. 496: 572-591 (2019) - [j31]Roberto Corizzo, Gianvito Pio, Michelangelo Ceci, Donato Malerba:
DENCAST: distributed density-based clustering for multi-target regression. J. Big Data 6: 43 (2019) - [c121]Roberto Corizzo, Michelangelo Ceci, Donato Malerba:
Big Data Analytics and Predictive Modeling Approaches for the Energy Sector. BigData Congress 2019: 55-63 - [c120]Angelo Impedovo, Michelangelo Ceci, Toon Calders:
Efficient and Accurate Non-exhaustive Pattern-Based Change Detection in Dynamic Networks. DS 2019: 396-411 - [c119]Corrado Loglisci, Angelo Impedovo, Michelangelo Ceci, Donato Malerba:
Mining Microscopic and Macroscopic Changes in Network Data Streams (Discussion Paper). SEBD 2019 - [c118]Paolo Mignone, Gianvito Pio, Michelangelo Ceci:
Positive Unlabeled Link Prediction via Transfer Learning for Gene Network Reconstruction (Discussion Paper). SEBD 2019 - 2018
- [j30]Gianvito Pio, Francesco Serafino, Donato Malerba, Michelangelo Ceci:
Multi-type clustering and classification from heterogeneous networks. Inf. Sci. 425: 107-126 (2018) - [j29]Jurica Levatic, Dragi Kocev, Michelangelo Ceci, Saso Dzeroski:
Semi-supervised trees for multi-target regression. Inf. Sci. 450: 109-127 (2018) - [j28]Corrado Loglisci, Michelangelo Ceci, Angelo Impedovo, Donato Malerba:
Mining microscopic and macroscopic changes in network data streams. Knowl. Based Syst. 161: 294-312 (2018) - [j27]Michelangelo Ceci, Toon Calders:
Introduction to the special issue on discovery science. Mach. Learn. 107(11): 1647-1649 (2018) - [j26]Francesco Serafino, Gianvito Pio, Michelangelo Ceci:
Ensemble Learning for Multi-Type Classification in Heterogeneous Networks. IEEE Trans. Knowl. Data Eng. 30(12): 2326-2339 (2018) - [c117]Marjana Prifti Skenduli, Corrado Loglisci, Michelangelo Ceci, Marenglen Biba, Donato Malerba:
An Empirical Evaluation of Sequential Pattern Mining Algorithms. EIDWT 2018: 615-626 - [c116]Ernesto Damiani, Gabriele Gianini, Michelangelo Ceci, Donato Malerba:
Toward IoT-Friendly Learning Models. ICDCS 2018: 1284-1289 - [c115]Michelangelo Ceci, Michele Spagnoletta, Pasqua Fabiana Lanotte, Donato Malerba:
Distributed Learning of Process Models for Next Activity Prediction. IDEAS 2018: 278-282 - [c114]Marjana Prifti Skenduli, Marenglen Biba, Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
User-Emotion Detection Through Sentence-Based Classification Using Deep Learning: A Case-Study with Microblogs in Albanian. ISMIS 2018: 258-267 - [c113]Francesco Serafino, Gianvito Pio, Michelangelo Ceci:
Ensemble Learning for Multi-type Classification in Heterogeneous Networks. SEBD 2018 - [p6]Annalisa Appice, Michelangelo Ceci, Donato Malerba:
Relational Data Mining in the Era of Big Data. A Comprehensive Guide Through the Italian Database Research 2018: 323-339 - [e12]Larisa N. Soldatova, Joaquin Vanschoren, George A. Papadopoulos, Michelangelo Ceci:
Discovery Science - 21st International Conference, DS 2018, Limassol, Cyprus, October 29-31, 2018, Proceedings. Lecture Notes in Computer Science 11198, Springer 2018, ISBN 978-3-030-01770-5 [contents] - [e11]Michelangelo Ceci, Nathalie Japkowicz, Jiming Liu, George A. Papadopoulos, Zbigniew W. Ras:
Foundations of Intelligent Systems - 24th International Symposium, ISMIS 2018, Limassol, Cyprus, October 29-31, 2018, Proceedings. Lecture Notes in Computer Science 11177, Springer 2018, ISBN 978-3-030-01850-4 [contents] - 2017
- [j25]Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski:
Semi-supervised classification trees. J. Intell. Inf. Syst. 49(3): 461-486 (2017) - [j24]Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski:
Self-training for multi-target regression with tree ensembles. Knowl. Based Syst. 123: 41-60 (2017) - [j23]Michelangelo Ceci, Roberto Corizzo, Fabio Fumarola, Donato Malerba, Aleksandra Rashkovska:
Predictive Modeling of PV Energy Production: How to Set Up the Learning Task for a Better Prediction? IEEE Trans. Ind. Informatics 13(3): 956-966 (2017) - [c112]Gianvito Pio, Michelangelo Ceci, Francesca Prisciandaro, Donato Malerba:
LOCANDA: Exploiting Causality in the Reconstruction of Gene Regulatory Networks. DS 2017: 283-297 - [c111]Pasqua Fabiana Lanotte, Fabio Fumarola, Donato Malerba, Michelangelo Ceci:
Exploiting Web Sites Structural and Content Features for Web Pages Clustering. ISMIS 2017: 446-456 - [c110]Emanuele Pio Barracchia, Gianvito Pio, Donato Malerba, Michelangelo Ceci:
Identifying lncRNA-Disease Relationships via Heterogeneous Clustering. NFMCP@PKDD/ECML 2017: 35-48 - [c109]Roberto Corizzo, Gianvito Pio, Michelangelo Ceci, Donato Malerba:
Forecasting via Distributed Density-Based Clustering. SEBD 2017: 57 - [e10]Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Elio Masciari, Zbigniew W. Ras:
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. Lecture Notes in Computer Science 10312, Springer 2017, ISBN 978-3-319-61460-1 [contents] - [e9]Michelangelo Ceci, Jaakko Hollmén, Ljupco Todorovski, Celine Vens, Saso Dzeroski:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part I. Lecture Notes in Computer Science 10534, Springer 2017, ISBN 978-3-319-71248-2 [contents] - [e8]Michelangelo Ceci, Jaakko Hollmén, Ljupco Todorovski, Celine Vens, Saso Dzeroski:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part II. Lecture Notes in Computer Science 10535, Springer 2017, ISBN 978-3-319-71245-1 [contents] - [e7]Yasemin Altun, Kamalika Das, Taneli Mielikäinen, Donato Malerba, Jerzy Stefanowski, Jesse Read, Marinka Zitnik, Michelangelo Ceci, Saso Dzeroski:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part III. Lecture Notes in Computer Science 10536, Springer 2017, ISBN 978-3-319-71272-7 [contents] - [i1]Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci:
Temporal Pattern Mining from Evolving Networks. CoRR abs/1709.06772 (2017) - 2016
- [j22]Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari:
Recent advances in mining patterns from complex data. J. Intell. Inf. Syst. 47(1): 1-3 (2016) - [j21]Fabio Fumarola, Pasqua Fabiana Lanotte, Michelangelo Ceci, Donato Malerba:
CloFAST: closed sequential pattern mining using sparse and vertical id-lists. Knowl. Inf. Syst. 48(2): 429-463 (2016) - [c108]Pasqua Fabiana Lanotte, Fabio Fumarola, Donato Malerba, Michelangelo Ceci:
Automatic Generation of Sitemaps Based on Navigation Systems. MOD 2016: 216-223 - [c107]Corrado Loglisci, Michelangelo Ceci, Angelo Impedovo, Donato Malerba:
Mining Spatio-Temporal Patterns of Periodic Changes in Climate Data. NFMCP@PKDD/ECML 2016: 198-212 - [c106]Michelangelo Ceci:
Big Data Analytics. SEBD 2016: 1 - [c105]Francesco Serafino, Gianvito Pio, Donato Malerba, Michelangelo Ceci:
Multi-Type Classification from Heterogeneous Networks. SEBD 2016: 102-109 - [c104]Michelangelo Ceci, Gianvito Pio, Vladimir Kuzmanovski, Saso Dzeroski:
Semi-Supervised Multi-View Learning for Gene Network Reconstruction. SEBD 2016: 198-205 - [e6]Toon Calders, Michelangelo Ceci, Donato Malerba:
Discovery Science - 19th International Conference, DS 2016, Bari, Italy, October 19-21, 2016, Proceedings. Lecture Notes in Computer Science 9956, 2016, ISBN 978-3-319-46306-3 [contents] - [e5]Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras:
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. Lecture Notes in Computer Science 9607, Springer 2016, ISBN 978-3-319-39314-8 [contents] - 2015
- [j20]Gianvito Pio, Michelangelo Ceci, Donato Malerba, Domenica D'Elia:
ComiRNet: a web-based system for the analysis of miRNA-gene regulatory networks. BMC Bioinform. 16(S-9): S7 (2015) - [j19]Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Relational mining for discovering changes in evolving networks. Neurocomputing 150: 265-288 (2015) - [j18]Michelangelo Ceci, Alfredo Cuzzocrea, Donato Malerba:
Effectively and efficiently supporting roll-up and drill-down OLAP operations over continuous dimensions via hierarchical clustering. J. Intell. Inf. Syst. 44(3): 309-333 (2015) - [c103]Michelangelo Ceci, Corrado Loglisci, Lynn Rudd, Donato Malerba:
Discovering Knowledge through Multi-modal Association Rule Mining for Document Image Analysis. IT@LIA@AI*IA 2015 - [c102]Dragi Kocev, Michelangelo Ceci:
Ensembles of Extremely Randomized Trees for Multi-target Regression. Discovery Science 2015: 86-100 - [c101]Francesco Serafino, Gianvito Pio, Michelangelo Ceci, Donato Malerba:
Hierarchical Multidimensional Classification of Web Documents with MultiWebClass. Discovery Science 2015: 236-250 - [c100]Michelangelo Ceci, Roberto Corizzo, Fabio Fumarola, Michele Ianni, Donato Malerba, Gaspare Maria, Elio Masciari, Marco Oliverio, Aleksandra Rashkovska:
Big Data Techniques For Supporting Accurate Predictions of Energy Production From Renewable Sources. IDEAS 2015: 62-71 - [c99]Michelangelo Ceci, Roberto Corizzo, Fabio Fumarola, Michele Ianni, Donato Malerba, Gaspare Maria, Elio Masciari, Marco Oliverio, Aleksandra Rashkovska:
VIPOC Project Research Summary (Discussion Paper). SEBD 2015: 208-215 - [c98]Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski:
Semi-supervised learning for multi-target regression (Discussion paper). SEBD 2015: 240-247 - [e4]Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras:
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. Lecture Notes in Computer Science 8983, Springer 2015, ISBN 978-3-319-17875-2 [contents] - 2014
- [j17]Gianvito Pio, Donato Malerba, Domenica D'Elia, Michelangelo Ceci:
Integrating microRNA target predictions for the discovery of gene regulatory networks: a semi-supervised ensemble learning approach. BMC Bioinform. 15(S-1): S4 (2014) - [j16]Annalisa Appice, Michelangelo Ceci, Donato Malerba:
Multi-Relational Model Tree Induction Tightly-Coupled with a Relational Database. Fundam. Informaticae 129(3): 193-224 (2014) - [j15]Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Elio Masciari, Giuseppe Manco:
Mining complex patterns. J. Intell. Inf. Syst. 42(2): 179-180 (2014) - [j14]Gianvito Pio, Fabio Fumarola, Antonio E. Felle, Donato Malerba, Michelangelo Ceci:
Discovering Novelty Patterns from the Ancient Christian Inscriptions of Rome. ACM Journal on Computing and Cultural Heritage 7(4): 22:1-22:21 (2014) - [c97]Michelangelo Ceci, Pasqua Fabiana Lanotte, Fabio Fumarola, Dario Pietro Cavallo, Donato Malerba:
Completion Time and Next Activity Prediction of Processes Using Sequential Pattern Mining. Discovery Science 2014: 49-61 - [c96]Michelangelo Ceci, Nunziato Cassavia, Roberto Corizzo, Pietro Dicosta, Donato Malerba, Gaspare Maria, Elio Masciari, Camillo Pastura:
Innovative power operating center management exploiting big data techniques. IDEAS 2014: 326-329 - [c95]Michelangelo Ceci, Corrado Loglisci, Lucrezia Macchia:
Ranking Sentences for Keyphrase Extraction: A Relational Data Mining Approach. IRCDL 2014: 52-59 - [c94]Gianvito Pio, Pasqua Fabiana Lanotte, Michelangelo Ceci, Donato Malerba:
Mining Temporal Evolution of Entities in a Stream of Textual Documents. ISMIS 2014: 50-60 - [c93]Pasqua Fabiana Lanotte, Fabio Fumarola, Michelangelo Ceci, Andrea Scarpino, Michele Damiano Torelli, Donato Malerba:
Automatic Extraction of Logical Web Lists. ISMIS 2014: 365-374 - [c92]Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski:
Semi-supervised Learning for Multi-target Regression. NFMCP 2014: 3-18 - [c91]Gianvito Pio, Michelangelo Ceci, Domenica D'Elia, Donato Malerba:
Network Reconstruction for the Identification of miRNA: mRNA Interaction Networks. ECML/PKDD (3) 2014: 508-511 - [c90]Gianvito Pio, Michelangelo Ceci, Domenica D'Elia, Donato Malerba:
Learning to Combine miRNA Target Predictions: a Semi-supervised Ensemble Learning Approach. SEBD 2014: 21-28 - [c89]Michelangelo Ceci, Nunziato Cassavia, Roberto Corizzo, Pietro Dicosta, Donato Malerba, Gaspare Maria, Elio Masciari, Camillo Pastura:
Big Data Techniques For Renewable Energy Market. SEBD 2014: 369-377 - [e3]Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras:
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. Lecture Notes in Computer Science 8399, Springer 2014, ISBN 978-3-319-08406-0 [contents] - 2013
- [j13]Daniela Stojanova, Michelangelo Ceci, Donato Malerba, Saso Dzeroski:
Using PPI network autocorrelation in hierarchical multi-label classification trees for gene function prediction. BMC Bioinform. 14: 285 (2013) - [j12]Gianvito Pio, Michelangelo Ceci, Domenica D'Elia, Corrado Loglisci, Donato Malerba:
A Novel Biclustering Algorithm for the Discovery of Meaningful Biological Correlations between microRNAs and their Target Genes. BMC Bioinform. 14(S-7): S8 (2013) - [j11]Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Donato Malerba, Saso Dzeroski:
Dealing with spatial autocorrelation when learning predictive clustering trees. Ecol. Informatics 13: 22-39 (2013) - [c88]Daniela Stojanova, Michelangelo Ceci, Donato Malerba, Saso Dzeroski:
Learning Hierarchical Multi-label Classification Trees from Network Data. Discovery Science 2013: 233-248 - [c87]Fabio Fumarola, Gianvito Pio, Antonio E. Felle, Donato Malerba, Michelangelo Ceci:
EDB: Knowledge Technologies for Ancient Greek and Latin Epigraphy. IRCDL 2013: 29-40 - [c86]Gianvito Pio, Michelangelo Ceci, Domenica D'Elia, Corrado Loglisci, Donato Malerba:
HOCCLUS2: A Biclustering Algorithm for the Discovery of miRNA: mRNA regulatory modules. SEBD 2013: 445-452 - [e2]Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras:
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. Lecture Notes in Computer Science 7765, Springer 2013, ISBN 978-3-642-37381-7 [contents] - 2012
- [j10]Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Saso Dzeroski:
Network regression with predictive clustering trees. Data Min. Knowl. Discov. 25(2): 378-413 (2012) - [j9]Michelangelo Ceci, Pietro Hiram Guzzi, Elio Masciari, Mauro Coluccia, Federica Mandreoli, Massimo Mecella, Fabio Fumarola, Riccardo Martoglia, Wilma Penzo:
The IS-BioBank project: a framework for biological data normalization, interoperability, and mining for cancer microenvironment analysis. SIGHIT Rec. 2(2): 16-21 (2012) - [c85]Lucrezia Macchia, Michelangelo Ceci, Donato Malerba:
Learning to Rank from Concept-Drifting Network Data Streams. DEXA (1) 2012: 384-396 - [c84]Gianvito Pio, Michelangelo Ceci, Corrado Loglisci, Domenica D'Elia, Donato Malerba:
Hierarchical and Overlapping Co-Clustering of mRNA: miRNA Interactions. ECAI 2012: 654-659 - [c83]Michelangelo Ceci, Corrado Loglisci, Lucrezia Macchia, Donato Malerba, Luciano Quercia:
Document Image Understanding through Iterative Transductive Learning. IRCDL 2012: 117-128 - [c82]Michelangelo Ceci, Fabio Fumarola, Pietro Hiram Guzzi, Federica Mandreoli, Riccardo Martoglia, Elio Masciari, Massimo Mecella, Wilma Penzo:
Toward a Semantic Framework for the Querying, Mining and Visualization of Cancer Microenvironment Data. ITBAM 2012: 109-123 - [c81]Michelangelo Ceci, Annalisa Appice, Herna L. Viktor, Donato Malerba, Eric Paquet, Hongyu Guo:
Transductive Relational Classification in the Co-training Paradigm. MLDM 2012: 11-25 - [c80]Lucrezia Macchia, Michelangelo Ceci, Donato Malerba:
Mining Ranking Models from Dynamic Network Data. MLDM 2012: 566-577 - [c79]Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Discovering Evolution Chains in Dynamic Networks. NFMCP 2012: 185-199 - [c78]Michelangelo Ceci, Mauro Coluccia, Fabio Fumarola, Pietro Hiram Guzzi, Federica Mandreoli, Riccardo Martoglia, Elio Masciari, Massimo Mecella, Wilma Penzo:
A Framework for Biological Data Normalization, Interoperability, and Mining for Cancer Microenvironment Analysis. SEBD 2012: 67-74 - [c77]Gianvito Pio, Michelangelo Ceci, Donato Malerba:
Mining Temporal Evolution of Criminal Behaviors. SEBD 2012: 221-232 - 2011
- [j8]Annalisa Appice, Michelangelo Ceci, Antonio Turi, Donato Malerba:
A parallel, distributed algorithm for relational frequent pattern discovery from very large data sets. Intell. Data Anal. 15(1): 69-88 (2011) - [c76]Corrado Loglisci, Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Discovering process models through relational disjunctive patterns mining. CIDM 2011: 200-207 - [c75]Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
A Temporal Data Mining Framework for Analyzing Longitudinal Data. DEXA (2) 2011: 97-106 - [c74]Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Donato Malerba, Saso Dzeroski:
Global and Local Spatial Autocorrelation in Predictive Clustering Trees. Discovery Science 2011: 307-322 - [c73]Michelangelo Ceci, Corrado Loglisci, Stefano Ferilli, Donato Malerba:
Project D.A.M.A.: Document Acquisition, Management and Archiving. IRCDL 2011: 115-118 - [c72]Corrado Loglisci, Annalisa Appice, Michelangelo Ceci, Donato Malerba, Floriana Esposito:
MBlab: Molecular Biodiversity Laboratory. IRCDL 2011: 132-135 - [c71]Donato Malerba, Michelangelo Ceci, Annalisa Appice:
Relational Mining in Spatial Domains: Accomplishments and Challenges. ISMIS 2011: 16-24 - [c70]Michelangelo Ceci, Alfredo Cuzzocrea, Donato Malerba:
OLAP over Continuous Domains via Density-Based Hierarchical Clustering. KES (2) 2011: 559-570 - [c69]Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Saso Dzeroski:
Network Regression with Predictive Clustering Trees. ECML/PKDD (3) 2011: 333-348 - [c68]Corrado Loglisci, Michelangelo Ceci:
Discovering Temporal Bisociations for Linking Concepts over Time. ECML/PKDD (2) 2011: 358-373 - [c67]Michelangelo Ceci, Alfredo Cuzzocrea, Donato Malerba:
Supporting Roll-Up and Drill-Down Operations over OLAP Data Cubes with Continuous Dimensions via Density-Based Hierarchical Clustering. SEBD 2011: 57-65 - [c66]Corrado Loglisci, Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Relational Disjunctive Patterns Mining for Discovering Frequent Variants in Process Models. SEBD 2011: 227-238 - [c65]Annalisa Appice, Michelangelo Ceci, Donato Malerba, Antonietta Lanza:
Learning and Transferring Geographically Weighted Regression Trees across Time. MSM/MUSE 2011: 97-117 - [p5]Michelangelo Ceci, Corrado Loglisci, Eliana Salvemini, Domenica D'Elia, Donato Malerba:
Mining Spatial Association Rules for Composite Motif Discovery. Mathematical Approaches to Polymer Sequence Analysis and Related Problems 2011: 87-109 - [p4]Michelangelo Ceci, Corrado Loglisci, Donato Malerba:
Transductive Learning of Logical Structures from Document Images. Learning Structure and Schemas from Documents 2011: 121-142 - 2010
- [c64]Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
A Relational Approach for Discovering Frequent Patterns with Disjunctions. DaWak 2010: 263-274 - [c63]Annalisa Appice, Michelangelo Ceci, Corrado Loglisci:
Discovering Informative Syntactic Relationships between Named Entities in Biomedical Literature. DBKDA 2010: 120-125 - [c62]Michelangelo Ceci:
Transductive Learning from Textual Data with Relevant Example Selection. DEXA (2) 2010: 470-484 - [c61]Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Time-Slice Density Estimation for Semantic-Based Tourist Destination Suggestion. ECAI 2010: 1107-1108 - [c60]Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Mining Physiological Data for Discovering Temporal Patterns on Disease Stages. ECAI 2010: 1117-1118 - [c59]Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Relational Learning of Disjunctive Patterns in Spatial Networks. NyNaK 2010 - [c58]Annalisa Appice, Michelangelo Ceci, Donato Malerba:
Transductive learning for spatial regression with co-training. SAC 2010: 1065-1070 - [c57]Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Donato Malerba:
Complex objects ranking: a relational data mining approach. SAC 2010: 1071-1077 - [c56]Michelangelo Ceci, Annalisa Appice, Donato Malerba, Nicola Schirone, Nicola Davide Traversa, Valerio Valrosso:
Suggesting Tourist Destinations by means of Time-Slice Density Estimation. SEBD 2010: 94-105 - [c55]Michelangelo Ceci, Pasqua Fabiana Lanotte:
Hierarchical Transductive Classification from Textual Data with Relevant Example Selection. SEBD 2010: 158-169 - [c54]Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
Discovering Temporal Patterns of Complex Events in Biosignal Data. SEBD 2010: 306-317 - [p3]Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Transductive Learning for Spatial Data Classification. Advances in Machine Learning I 2010: 189-207
2000 – 2009
- 2009
- [j7]Donato Malerba, Michelangelo Ceci, Annalisa Appice:
A relational approach to probabilistic classification in a transductive setting. Eng. Appl. Artif. Intell. 22(1): 109-116 (2009) - [c53]Annalisa Appice, Michelangelo Ceci, Donato Malerba:
An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting. Discovery Science 2009: 36-50 - [c52]Corrado Loglisci, Michelangelo Ceci, Donato Malerba:
A Knowledge-Based Framework for Information Extraction from Clinical Practice Guidelines. ISMIS 2009: 119-128 - [c51]Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Donato Malerba:
Novelty Detection from Evolving Complex Data Streams with Time Windows. ISMIS 2009: 563-572 - [c50]Michelangelo Ceci, Annalisa Appice, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Carmine Valente, Donato Malerba:
Relational Frequent Patterns Mining for Novelty Detection from Data Streams. MLDM 2009: 427-439 - [c49]Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Costantina Caruso, Fabio Fumarola, Michele Todaro, Donato Malerba:
A Relational Approach to Novelty Detection in Data Streams. SEBD 2009: 89-100 - [c48]Annalisa Appice, Michelangelo Ceci, Vincenzo Rizzi, Marco Romano, Donato Malerba:
Spatial Regression in the Transductive Setting. SEBD 2009: 297-304 - [c47]Michelangelo Ceci, Annalisa Appice, Giuseppe De Giosa, Gianluigi Dileo, Alessandro Lallo, Donato Malerba:
Mining preference relations to rank complex object. SEBD 2009: 313-324 - 2008
- [c46]Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Emerging Pattern Based Classification in Relational Data Mining. DEXA 2008: 283-296 - [c45]Antonio Turi, Annalisa Appice, Michelangelo Ceci, Donato Malerba:
A Grid-Based Multi-relational Approach to Process Mining. DEXA 2008: 701-709 - [c44]Michelangelo Ceci:
Hierarchical Text Categorization in a Transductive Setting. ICDM Workshops 2008: 184-191 - [c43]Annalisa Appice, Michelangelo Ceci, Donato Malerba:
Top-Down Induction of Relational Model Trees in Multi-instance Learning. ILP 2008: 24-41 - [c42]Annalisa Appice, Michelangelo Ceci, Donato Malerba, Savino Saponara:
Stepwise Induction of Logistic Model Trees. ISMIS 2008: 68-77 - [c41]Michelangelo Ceci, Annalisa Appice, Costantina Caruso, Donato Malerba:
Discovering Emerging Patterns for Anomaly Detection in Network Connection Data. ISMIS 2008: 179-188 - [c40]Michelangelo Ceci, Annalisa Appice, Lucrezia Macchia, Donato Malerba:
Relational Classification based on Emerging Patterns. SEBD 2008: 45-56 - [c39]Antonio Turi, Annalisa Appice, Michelangelo Ceci, Donato Malerba:
Distributed Discovery of Multi-Level Approximate Process Patterns. SEBD 2008: 57-68 - [p2]Donato Malerba, Michelangelo Ceci, Margherita Berardi:
Machine Learning for Reading Order Detection in Document Image Understanding. Machine Learning in Document Analysis and Recognition 2008: 45-69 - 2007
- [j6]Michelangelo Ceci, Margherita Berardi, Donato Malerba:
Relational Data Mining and ILP for Document Image Understanding. Appl. Artif. Intell. 21(4&5): 317-342 (2007) - [j5]Oronzo Altamura, Margherita Berardi, Michelangelo Ceci, Donato Malerba, Antonio Varlaro:
Using colour information to understand censorship cards of film archives. Int. J. Document Anal. Recognit. 9(2-4): 281-297 (2007) - [j4]Michelangelo Ceci, Donato Malerba:
Classifying web documents in a hierarchy of categories: a comprehensive study. J. Intell. Inf. Syst. 28(1): 37-78 (2007) - [c38]Annalisa Appice, Michelangelo Ceci, Carlo Malgieri, Donato Malerba:
Discovering Relational Emerging Patterns. AI*IA 2007: 206-217 - [c37]Donato Malerba, Michelangelo Ceci:
Learning to Order: A Relational Approach. MCD 2007: 209-223 - [c36]Michelangelo Ceci, Margherita Berardi, G. Porcelli, Donato Malerba:
A Data Mining Approach to Reading Order Detection. ICDAR 2007: 924-928 - [c35]Michelangelo Ceci, Annalisa Appice, Nicola Barile, Donato Malerba:
Transductive Learning from Relational Data. MLDM 2007: 324-338 - [c34]Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Discovering Emerging Patterns in Spatial Databases: A Multi-relational Approach. PKDD 2007: 390-397 - [e1]Michelangelo Ceci, Donato Malerba, Letizia Tanca:
Proceedings of the Fifteenth Italian Symposium on Advanced Database Systems, SEBD 2007, 17-20 June 2007, Torre Canne, Fasano, BR, Italy. 2007, ISBN 978-88-902981-0-3 [contents] - 2006
- [j3]Michelangelo Ceci, Annalisa Appice:
Spatial associative classification: propositional vs structural approach. J. Intell. Inf. Syst. 27(3): 191-213 (2006) - [c33]Annalisa Appice, Michelangelo Ceci:
Mining Tolerance Regions with Model Trees. ISMIS 2006: 560-569 - [c32]Michelangelo Ceci, Donato Malerba:
Relational Data Mining Techniques for Historical Document Processing. SEBD 2006: 309-320 - 2005
- [b1]Michelangelo Ceci:
Naive bayesian learning from structural data. University of Bari, Italy, 2005 - [c31]Michelangelo Ceci, Margherita Berardi, Donato Malerba:
Relational Learning: Statistical Approach Versus Logical Approach in Document Image Understanding. AI*IA 2005: 418-429 - [c30]Annalisa Appice, Michelangelo Ceci, Donato Malerba:
Mining Relational Association Rules for Propositional Classification. AI*IA 2005: 522-534 - [c29]Michelangelo Ceci, Margherita Berardi, Donato Malerba:
Relational Learning techniques for Document Image Understanding: Comparing Statistical and Logical approaches. ICDAR 2005: 473-477 - [c28]Margherita Berardi, Oronzo Altamura, Michelangelo Ceci, Donato Malerba:
A color-based layout analysis to process censorship cards of film archives. ICDAR 2005: 1110-1114 - [c27]Annalisa Appice, Margherita Berardi, Michelangelo Ceci, Donato Malerba:
Mining and Filtering Multi-level Spatial Association Rules with ARES. ISMIS 2005: 342-353 - [c26]Donato Malerba, Michelangelo Ceci, Annalisa Appice:
Mining Model Trees from Spatial Data. PKDD 2005: 169-180 - [c25]Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Propositionalization Through Relational Association Rules Mining. SEBD 2005: 125-136 - 2004
- [j2]Donato Malerba, Floriana Esposito, Michelangelo Ceci, Annalisa Appice:
Top-Down Induction of Model Trees with Regression and Splitting Nodes. IEEE Trans. Pattern Anal. Mach. Intell. 26(5): 612-625 (2004) - [c24]Floriana Esposito, Donato Malerba, Giovanni Semeraro, Stefano Ferilli, Oronzo Altamura, Teresa Maria Altomare Basile, Margherita Berardi, Michelangelo Ceci, Nicola Di Mauro:
Machine Learning Methods for Automatically Processing Historical Documents: From Paper Acquisition to XML Transformation. DIAL 2004: 328-335 - [c23]Annalisa Appice, Michelangelo Ceci, Simon Alan Rawles, Peter A. Flach:
Redundant feature elimination for multi-class problems. ICML 2004 - [c22]Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach. PKDD 2004: 99-111 - [c21]Annalisa Appice, Margherita Berardi, Michelangelo Ceci, Michele Lapi, Donato Malerba, Antonio Turi:
Mining interesting spatial association rules: two case studies. SEBD 2004: 86-97 - [p1]Donato Malerba, Annalisa Appice, Michelangelo Ceci:
A Data Mining Query Language for Knowledge Discovery in a Geographical Information System. Database Support for Data Mining Applications 2004: 95-116 - 2003
- [j1]Annalisa Appice, Michelangelo Ceci, Antonietta Lanza, Francesca A. Lisi, Donato Malerba:
Discovery of spatial association rules in geo-referenced census data: A relational mining approach. Intell. Data Anal. 7(6): 541-566 (2003) - [c20]Michelangelo Ceci, Annalisa Appice, Donato Malerba, Vincenzo Colonna:
Multi-relational Structural Bayesian Classifier. AI*IA 2003: 250-261 - [c19]Donato Malerba, Michelangelo Ceci, Margherita Berardi:
XML and Knowledge Technologies for Semantic-Based Indexing of Paper Documents. DEXA 2003: 256-265 - [c18]Michelangelo Ceci, Donato Malerba:
Hierarchical Classification of HTML Documents with WebClassII. ECIR 2003: 57-72 - [c17]Ingo Frommholz, Holger Brocks, Ulrich Thiel, Erich J. Neuhold, Luigi Iannone, Giovanni Semeraro, Margherita Berardi, Michelangelo Ceci:
Document-Centered Collaboration for Scholars in the Humanities - The COLLATE System. ECDL 2003: 434-445 - [c16]Donato Malerba, Floriana Esposito, Oronzo Altamura, Michelangelo Ceci, Margherita Berardi:
Correcting the Document Layout: A Machine Learning Approach. ICDAR 2003: 97- - [c15]Margherita Berardi, Michelangelo Ceci, Floriana Esposito, Donato Malerba:
Learning Logic Programs for Layout Analysis Correction. ICML 2003: 27-34 - [c14]Michelangelo Ceci, Floriana Esposito, Michele Lapi, Donato Malerba:
Automated Classification of Web Documents into a Hierarchy of Categories. IIS 2003: 59-68 - [c13]Annalisa Appice, Michelangelo Ceci, Donato Malerba:
Mining Model Trees: A Multi-relational Approach. ILP 2003: 4-21 - [c12]Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Comparing Simplification Methods for Model Trees with Regression and Splitting Nodes. ISMIS 2003: 49-56 - [c11]Annalisa Appice, Michelangelo Ceci, Donato Malerba:
MR-SMOTI: A Data Mining System for Regression Tasks Tightly-Coupled with a Relational Database. KDID 2003: 17-27 - [c10]Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Simplification Methods for Model Trees with Regression and Splitting Nodes. MLDM 2003: 20-34 - [c9]Michelangelo Ceci, Annalisa Appice, Donato Malerba:
Mr-SBC: A Multi-relational Naïve Bayes Classifier. PKDD 2003: 95-106 - [c8]Annalisa Appice, Michelangelo Ceci, Donato Malerba, D. Sacchi:
Stepwise Model Tree Induction in a Multi-Relational Framework. SEBD 2003: 281-292 - [c7]Annalisa Appice, Michelangelo Ceci, Floriana Esposito, Donato Malerba:
Mining Model Trees with Regression and Splitting Nodes. SEBD 2003: 495-506 - 2002
- [c6]Donato Malerba, Floriana Esposito, Michelangelo Ceci:
Mining HTML Pages to Support Document Sharing in a Cooperative System. EDBT Workshops 2002: 420-434 - [c5]Donato Malerba, Annalisa Appice, Michelangelo Ceci, Marianna Monopoli:
Trading-Off Local versus Global Effects of Regression Nodes in Model Trees. ISMIS 2002: 393-402 - [c4]Donato Malerba, Annalisa Appice, Michelangelo Ceci, Nicola Vacca:
Mining Classification and Association Rules in Geographical Data with SDMOQL. SEBD 2002: 251-264 - [c3]Annalisa Appice, Michelangelo Ceci, Donato Malerba:
KDB2000: Uno strumento per la scoperta della conoscenza. SEBD 2002: 417-421 - 2001
- [c2]Donato Malerba, Annalisa Appice, Antonia Bellino, Michelangelo Ceci, Domenico Pallotta:
Stepwise Induction of Model Trees. AI*IA 2001: 20-32 - [c1]Antonietta Lanza, Donato Malerba, Francesca A. Lisi, Annalisa Appice, Michelangelo Ceci:
Generating Logic Descriptions for the Automated Interpretation of Topographic Maps. GREC 2001: 200-210
Coauthor Index
[e15] [e13] [p6] [e10] [j22] [e4] [j16] [j15] [e3] [j11] [e2] [j10] [c81] [j8] [c76] [c74] [c72] [c71] [c69] [c66] [c65] [c63] [c61] [c58] [c57] [c56] [p3] [j7] [c53] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c43] [c42] [c41] [c40] [c39] [c38] [c35] [c34] [j3] [c33] [c30] [c27] [c26] [c25] [j2] [c23] [c22] [c21] [p1] [j1] [c20] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c5] [c4] [c3] [c2] [c1]
[e18] [c135] [c131] [c130] [j45] [j40] [j37] [j36] [c122] [p7] [e15] [j33] [j31] [c121] [c119] [j30] [j28] [c117] [c116] [c115] [c114] [p6] [j23] [c112] [c111] [c110] [c109] [e7] [j21] [c108] [c107] [c105] [e6] [j20] [j19] [j18] [c103] [c101] [c100] [c99] [j17] [j16] [j14] [c97] [c96] [c94] [c93] [c91] [c90] [c89] [j13] [j12] [j11] [c88] [c87] [c86] [c85] [c84] [c83] [c81] [c80] [c79] [c77] [j8] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c67] [c66] [c65] [p5] [p4] [c64] [c61] [c60] [c59] [c58] [c57] [c56] [c54] [p3] [j7] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c43] [c42] [c41] [c40] [c39] [p2] [j6] [j5] [j4] [c38] [c37] [c36] [c35] [c34] [e1] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [j2] [c24] [c22] [c21] [p1] [j1] [c20] [c19] [c18] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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