Roberto Corizzo, Ph.D, is a Research Fellow at the Dept. of Computer Science, University of Bari, Italy. He has served on the Program Committees of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) and the International Symposium on Methodologies for Intelligent Systems (ISMIS). He has been a Research Intern at the INESC TEC research institute in Porto (Portugal) under the supervision of Prof. Joao Gama, and at the American University in Washington D.C. under the supervision of Prof. Nathalie Japkowicz. His research interests include big data analytics, data mining and predictive modeling techniques for sensor networks.

Research Interests

Big data analytics, Data Mining, Predictive Modeling Techniques for Sensor Networks, Energy Prediction in Smart Grids, Anomaly Detection

Roberto Corizzo
PhD, Assistant Professor
em@il: roberto.corizzo @ uniba.it
webpage: http://www.di.uniba.it/~corizzo





Publications Legend

Journal Articles
Book
Conference or Workshop
Editorship
Collection
Other

Publications


2019
Sid Ryan, Roberto Corizzo, Iluju Kiringa, Nathalie Japkowicz:
Deep Learning Versus Conventional Learning in Data Streams with Concept Drifts. ICMLA: 1306-1313 (2019)
DOI: https://doi.org/10.1109/ICMLA.2019.00213
Sid Ryan, Roberto Corizzo, Iluju Kiringa, Nathalie Japkowicz:
Pattern and Anomaly Localization in Complex and Dynamic Data. ICMLA: 1756-1763 (2019)
DOI: https://doi.org/10.1109/ICMLA.2019.00285
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)
DOI: https://doi.org/10.1016/j.bdr.2019.04.001
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)
DOI: https://doi.org/10.1016/j.ins.2018.12.007
Roberto Corizzo, Gianvito Pio, Michelangelo Ceci, Donato Malerba:
DENCAST: distributed density-based clustering for multi-target regression. J. Big Data 6: 43 (2019)
DOI: https://doi.org/10.1186/s40537-019-0207-2
Roberto Corizzo, Michelangelo Ceci, Donato Malerba:
Big Data Analytics and Predictive Modeling Approaches for the Energy Sector. BigData Congress: 55-63 (2019)
DOI: https://doi.org/10.1109/BigDataCongress.2019.00020
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)
DOI: https://doi.org/10.1007/s10618-018-0605-7


2018
Domenico Redavid, Roberto Corizzo, Donato Malerba:
An OWL Ontology for Supporting Semantic Services in Big Data Platforms. BigData Congress: 228-231 (2018)
DOI: https://doi.org/10.1109/BigDataCongress.2018.00039


2017
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)
DOI: https://doi.org/10.1109/TII.2016.2604758
Roberto Corizzo, Dino Ienco:
Proceedings of the ECML/PKDD Discovery Challenges co-located with European Conference on Machine Learning - Principle and Practice of Knowledge Discovery in Database (ECML PKDD 2017), Skopje, Macedonia, September 18, 2017. DC@PKDD/ECML CEUR Workshop Proceedings 1972, CEUR-WS.org (2017)
DOI: https://ceur-ws.org/Vol-1972
Roberto Corizzo, Gianvito Pio, Michelangelo Ceci, Donato Malerba:
Forecasting via Distributed Density-Based Clustering. SEBD: 57 (2017)
DOI: https://ceur-ws.org/Vol-2037/paper_10.pdf


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: 62-71 (2015)
DOI: https://doi.org/10.1145/2790755.2790762
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: 208-215 (2015)


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: 326-329 (2014)
DOI: https://doi.org/10.1145/2628194.2628231
Michelangelo Ceci, Nunziato Cassavia, Roberto Corizzo, Pietro Dicosta, Donato Malerba, Gaspare Maria, Elio Masciari, Camillo Pastura:
Big Data Techniques For Renewable Energy Market. SEBD: 369-377 (2014)