Michelangelo Ceci

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 76

Top Venues

SEBD

ISMIS

Inf. Sci.

Publications

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)
Paolo Mignone, Roberto Corizzo, Michelangelo Ceci
Distributed and explainable GHSOM for anomaly detection in sensor networks. Mach. Learn. 113 (7) (2024)
Paolo Mignone, Gianvito Pio, Michelangelo Ceci
Distributed Heterogeneous Transfer Learning. Big Data Res. 37 (2024)
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)
Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski
Semi-Supervised Predictive Clustering Trees for (Hierarchical) Multi-Label Classification. Int. J. Intell. Syst. 2024 (2024)
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) (2024)
Antonio Pellicani, Gianvito Pio, Domenico Redavid, Michelangelo Ceci
SAIRUS: Spatially-aware identification of risky users in social networks. Inf. Fusion 92 (2023)
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) (2023)
Massimiliano Altieri, Michelangelo Ceci, Roberto Corizzo
Explainable Spatio-Temporal Graph Modeling. DS (2023)
Graziella De Martino, Gianvito Pio, Michelangelo Ceci
Multi-view overlapping clustering for the identification of the subject matter of legal judgments. Inf. Sci. 638 (2023)
Antonio Pellicani, Gianvito Pio, Michelangelo Ceci
A Multi-Perspective Approach for Risky User Identification in Social Networks. SEBD (2023)
Massimiliano Altieri, Roberto Corizzo, Michelangelo Ceci
Scalable Forecasting in Sensor Networks with Graph Convolutional LSTM Models. Big Data (2022)
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) (2022)
Paolo Mignone, Donato Malerba, Michelangelo Ceci
Anomaly Detection for Public Transport and Air Pollution Analysis. Big Data (2022)
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 (2022)
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) (2022)
Paolo Mignone, Donato Malerba, Michelangelo Ceci
Anomaly Detection for Physical Threat Intelligence. itaDATA (2022)
Paolo Mignone, Gianvito Pio, Michelangelo Ceci
Distributed Heterogeneous Transfer Learning for Link Prediction in the Positive Unlabeled Setting. Big Data (2022)
Paolo Mignone, Gianvito Pio, Michelangelo Ceci
Distributed Heterogeneous Transfer Learning. SEBD (2022)
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)
Matej Petkovic, Michelangelo Ceci, Gianvito Pio, Blaz Skrlj, Kristian Kersting, Saso Dzeroski
Relational tree ensembles and feature rankings. Knowl. Based Syst. 251 (2022)
Paolo Mignone, Donato Malerba, Michelangelo Ceci
Anomaly Detection for Physical Threat Intelligence. PKDD/ECML Workshops (1) (2022)
Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski
Semi-supervised Predictive Clustering Trees for (Hierarchical) Multi-label Classification. CoRR (2022)
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) (2021)
Michelangelo Ceci, Pasqua Fabiana Lanotte
Closed sequential pattern mining for sitemap generation. World Wide Web 24 (1) (2021)
Roberto Corizzo, Michelangelo Ceci, Gianvito Pio, Paolo Mignone, Nathalie Japkowicz
Spatially-Aware Autoencoders for Detecting Contextual Anomalies in Geo-Distributed Data. DS (2021)
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)
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) (2021)
Roberto Corizzo, Michelangelo Ceci, Hadi Fanaee-T, João Gama
Multi-aspect renewable energy forecasting. Inf. Sci. 546 (2021)
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 (2020)
Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba
jKarma: A Highly-Modular Framework for Pattern-Based Change Detection on Evolving Data. SEBD (2020)
Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci, Donato Malerba
Condensed representations of changes in dynamic graphs through emerging subgraph mining. Eng. Appl. Artif. Intell. 94 (2020)
Angelo Impedovo, Paolo Mignone, Corrado Loglisci, Michelangelo Ceci
Simultaneous Process Drift Detection and Characterization with Pattern-Based Change Detectors. DS (2020)
Paolo Mignone, Gianvito Pio, Domenica D'Elia, Michelangelo Ceci
Exploiting transfer learning for the reconstruction of the human gene regulatory network. Bioinform. 36 (5) (2020)
Dragi Kocev, Michelangelo Ceci, Tomaz Stepisnik
Ensembles of extremely randomized predictive clustering trees for predicting structured outputs. Mach. Learn. 109 (11) (2020)
Michelangelo Ceci, Angelo Impedovo, Antonio Pellicani
Leveraging Multi-target Regression for Predicting the Next Parallel Activities in Event Logs. PKDD/ECML Workshops (2020)
Matej Petkovic, Michelangelo Ceci, Kristian Kersting, Saso Dzeroski
Estimating the Importance of Relational Features by Using Gradient Boosting. ISMIS (2020)
Gianvito Pio, Michelangelo Ceci, Francesca Prisciandaro, Donato Malerba
Exploiting causality in gene network reconstruction based on graph embedding. Mach. Learn. 109 (6) (2020)
Roberto Corizzo, Michelangelo Ceci, Eftim Zdravevski, Nathalie Japkowicz
Scalable auto-encoders for gravitational waves detection from time series data. Expert Syst. Appl. 151 (2020)
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)
Jurica Levatic, Michelangelo Ceci, Tomaz Stepisnik, Saso Dzeroski, Dragi Kocev
Semi-supervised regression trees with application to QSAR modelling. Expert Syst. Appl. 158 (2020)
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 (2020)
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) (2020)
Michelangelo Ceci, Roberto Corizzo, Donato Malerba, Aleksandra Rashkovska
Spatial autocorrelation and entropy for renewable energy forecasting. Data Min. Knowl. Discov. 33 (3) (2019)
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 (2019)
Roberto Corizzo, Gianvito Pio, Michelangelo Ceci, Donato Malerba
DENCAST: distributed density-based clustering for multi-target regression. J. Big Data 6 (2019)
Paolo Mignone, Gianvito Pio, Michelangelo Ceci
Positive Unlabeled Link Prediction via Transfer Learning for Gene Network Reconstruction (Discussion Paper). SEBD (2019)
Angelo Impedovo, Michelangelo Ceci, Toon Calders
Efficient and Accurate Non-exhaustive Pattern-Based Change Detection in Dynamic Networks. DS (2019)
Roberto Corizzo, Michelangelo Ceci, Donato Malerba
Big Data Analytics and Predictive Modeling Approaches for the Energy Sector. BigData Congress (2019)
Roberto Corizzo, Michelangelo Ceci, Nathalie Japkowicz
Anomaly Detection and Repair for Accurate Predictions in Geo-distributed Big Data. Big Data Res. 16 (2019)
Corrado Loglisci, Angelo Impedovo, Michelangelo Ceci, Donato Malerba
Mining Microscopic and Macroscopic Changes in Network Data Streams (Discussion Paper). SEBD (2019)
Francesco Serafino, Gianvito Pio, Michelangelo Ceci
Ensemble Learning for Multi-type Classification in Heterogeneous Networks. SEBD (2018)
Jurica Levatic, Dragi Kocev, Michelangelo Ceci, Saso Dzeroski
Semi-supervised trees for multi-target regression. Inf. Sci. 450 (2018)
Ernesto Damiani, Gabriele Gianini, Michelangelo Ceci, Donato Malerba
Toward IoT-Friendly Learning Models. ICDCS (2018)
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)
Michelangelo Ceci, Toon Calders
Introduction to the special issue on discovery science. Mach. Learn. 107 (11) (2018)
Gianvito Pio, Francesco Serafino, Donato Malerba, Michelangelo Ceci
Multi-type clustering and classification from heterogeneous networks. Inf. Sci. 425 (2018)
Francesco Serafino, Gianvito Pio, Michelangelo Ceci
Ensemble Learning for Multi-Type Classification in Heterogeneous Networks. IEEE Trans. Knowl. Data Eng. 30 (12) (2018)
Michelangelo Ceci, Michele Spagnoletta, Pasqua Fabiana Lanotte, Donato Malerba
Distributed Learning of Process Models for Next Activity Prediction. IDEAS (2018)
Marjana Prifti Skenduli, Corrado Loglisci, Michelangelo Ceci, Marenglen Biba, Donato Malerba
An Empirical Evaluation of Sequential Pattern Mining Algorithms. EIDWT (2018)
Corrado Loglisci, Michelangelo Ceci, Angelo Impedovo, Donato Malerba
Mining microscopic and macroscopic changes in network data streams. Knowl. Based Syst. 161 (2018)
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) (2017)
Angelo Impedovo, Corrado Loglisci, Michelangelo Ceci
Temporal Pattern Mining from Evolving Networks. CoRR (2017)
Emanuele Pio Barracchia, Gianvito Pio, Donato Malerba, Michelangelo Ceci
Identifying lncRNA-Disease Relationships via Heterogeneous Clustering. NFMCP@PKDD/ECML (2017)
Gianvito Pio, Michelangelo Ceci, Francesca Prisciandaro, Donato Malerba
LOCANDA: Exploiting Causality in the Reconstruction of Gene Regulatory Networks. DS (2017)
Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski
Self-training for multi-target regression with tree ensembles. Knowl. Based Syst. 123 (2017)
Roberto Corizzo, Gianvito Pio, Michelangelo Ceci, Donato Malerba
Forecasting via Distributed Density-Based Clustering. SEBD (2017)
Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski
Semi-supervised classification trees. J. Intell. Inf. Syst. 49 (3) (2017)
Pasqua Fabiana Lanotte, Fabio Fumarola, Donato Malerba, Michelangelo Ceci
Exploiting Web Sites Structural and Content Features for Web Pages Clustering. ISMIS (2017)
Francesco Serafino, Gianvito Pio, Donato Malerba, Michelangelo Ceci
Multi-Type Classification from Heterogeneous Networks. SEBD (2016)
Corrado Loglisci, Michelangelo Ceci, Angelo Impedovo, Donato Malerba
Mining Spatio-Temporal Patterns of Periodic Changes in Climate Data. NFMCP@PKDD/ECML (2016)
Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Giuseppe Manco, Elio Masciari
Recent advances in mining patterns from complex data. J. Intell. Inf. Syst. 47 (1) (2016)
Pasqua Fabiana Lanotte, Fabio Fumarola, Donato Malerba, Michelangelo Ceci
Automatic Generation of Sitemaps Based on Navigation Systems. MOD (2016)
Michelangelo Ceci, Gianvito Pio, Vladimir Kuzmanovski, Saso Dzeroski
Semi-Supervised Multi-View Learning for Gene Network Reconstruction. SEBD (2016)
Michelangelo Ceci
Big Data Analytics. SEBD (2016)
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) (2016)
Dragi Kocev, Michelangelo Ceci
Ensembles of Extremely Randomized Trees for Multi-target Regression. Discovery Science (2015)
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) (2015)
Francesco Serafino, Gianvito Pio, Michelangelo Ceci, Donato Malerba
Hierarchical Multidimensional Classification of Web Documents with MultiWebClass. Discovery Science (2015)
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)
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) (2015)
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)
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)
Corrado Loglisci, Michelangelo Ceci, Donato Malerba
Relational mining for discovering changes in evolving networks. Neurocomputing 150 (2015)
Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski
Semi-supervised learning for multi-target regression (Discussion paper). SEBD (2015)
Gianvito Pio, Michelangelo Ceci, Domenica D'Elia, Donato Malerba
Learning to Combine miRNA Target Predictions: a Semi-supervised Ensemble Learning Approach. SEBD (2014)
Gianvito Pio, Michelangelo Ceci, Domenica D'Elia, Donato Malerba
Network Reconstruction for the Identification of miRNA: mRNA Interaction Networks. ECML/PKDD (3) (2014)
Annalisa Appice, Michelangelo Ceci, Corrado Loglisci, Elio Masciari, Giuseppe Manco
Mining complex patterns. J. Intell. Inf. Syst. 42 (2) (2014)
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) (2014)
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) (2014)
Gianvito Pio, Pasqua Fabiana Lanotte, Michelangelo Ceci, Donato Malerba
Mining Temporal Evolution of Entities in a Stream of Textual Documents. ISMIS (2014)
Michelangelo Ceci, Corrado Loglisci, Lucrezia Macchia
Ranking Sentences for Keyphrase Extraction: A Relational Data Mining Approach. IRCDL (2014)
Jurica Levatic, Michelangelo Ceci, Dragi Kocev, Saso Dzeroski
Semi-supervised Learning for Multi-target Regression. NFMCP (2014)
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)
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)
Annalisa Appice, Michelangelo Ceci, Donato Malerba
Multi-Relational Model Tree Induction Tightly-Coupled with a Relational Database. Fundam. Informaticae 129 (3) (2014)
Pasqua Fabiana Lanotte, Fabio Fumarola, Michelangelo Ceci, Andrea Scarpino, Michele Damiano Torelli, Donato Malerba
Automatic Extraction of Logical Web Lists. ISMIS (2014)
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)
Fabio Fumarola, Gianvito Pio, Antonio E. Felle, Donato Malerba, Michelangelo Ceci
EDB: Knowledge Technologies for Ancient Greek and Latin Epigraphy. IRCDL (2013)
Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Donato Malerba, Saso Dzeroski
Dealing with spatial autocorrelation when learning predictive clustering trees. Ecol. Informatics 13 (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Michelangelo Ceci