Roberto Corizzo
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Predictive modeling of pv energy production: How to set up the learning task for a better prediction?
M Ceci, R Corizzo, F Fumarola, D Malerba, A Rashkovska
IEEE Transactions on Industrial Informatics 13 (3), 956-966, 2017
Deep Learning for Feature Extraction in Remote Sensing: A Case-Study of Aerial Scene Classification
B Petrovska, E Zdravevski, P Lameski, R Corizzo, I Štajduhar, J Lerga
Sensors 20 (14), 3906, 2020
Anomaly detection and repair for accurate predictions in geo-distributed Big Data
R Corizzo, M Ceci, N Japkowicz
Big Data Research 16, 18-35, 2019
Multi-aspect renewable energy forecasting
R Corizzo, M Ceci, H Fanaee-T, J Gama
Information Sciences 546, 701-722, 2021
DENCAST: distributed density-based clustering for multi-target regression
R Corizzo, G Pio, M Ceci, D Malerba
Journal of Big Data 6, 1-27, 2019
Air Pollution Prediction with Multi-Modal Data and Deep Neural Networks
J Kalajdjieski, E Zdravevski, R Corizzo, P Lameski, S Kalajdziski, IM Pires, ...
Remote Sensing 12 (24), 4142, 2020
Scalable auto-encoders for gravitational waves detection from time series data
R Corizzo, M Ceci, E Zdravevski, N Japkowicz
Expert Systems with Applications 151, 113378, 2020
Spatial autocorrelation and entropy for renewable energy forecasting
M Ceci, R Corizzo, D Malerba, A Rashkovska
Data Mining and Knowledge Discovery 33 (3), 698-729, 2019
ECHAD: Embedding-Based Change Detection From Multivariate Time Series in Smart Grids
M Ceci, R Corizzo, N Japkowicz, P Mignone, G Pio
IEEE Access 8, 156053-156066, 2020
Aerial Scene Classification through Fine-Tuning with Adaptive Learning Rates and Label Smoothing
B Petrovska, T Atanasova-Pacemska, R Corizzo, P Mignone, P Lameski, ...
Applied Sciences 10 (17), 5792, 2020
Spark-GHSOM: Growing Hierarchical Self-Organizing Map for Large Scale Mixed Attribute Datasets
A Malondkar, R Corizzo, I Kiringa, M Ceci, N Japkowicz
Information Sciences 496, 572-591, 2019
Big data techniques for supporting accurate predictions of energy production from renewable sources
M Ceci, R Corizzo, F Fumarola, M Ianni, D Malerba, G Maria, E Masciari, ...
Proceedings of the 19th International Database Engineering & Applications …, 2015
Calibrated Resampling for Imbalanced and Long-Tails in Deep Learning
C Bellinger, R Corizzo, N Japkowicz
International Conference on Discovery Science, 242-252, 2021
Multi-Horizon Air Pollution Forecasting with Deep Neural Networks
M Arsov, E Zdravevski, P Lameski, R Corizzo, N Koteli, S Gramatikov, ...
Sensors 21 (4), 1235, 2021
Literature on Applied Machine Learning in Metagenomic Classification: A Scoping Review
P Tonkovic, S Kalajdziski, E Zdravevski, P Lameski, R Corizzo, IM Pires, ...
Biology 9 (12), 453, 2020
An OWL ontology for supporting semantic services in Big Data platforms
D Redavid, R Corizzo, D Malerba
2018 IEEE International Congress on Big Data (BigData Congress), 228-231, 2018
Innovative power operating center management exploiting big data techniques
M Ceci, N Cassavia, R Corizzo, P Dicosta, D Malerba, G Maria, E Masciari, ...
Proceedings of the 18th International Database Engineering & Applications …, 2014
Deep learning versus conventional learning in data streams with concept drifts
S Ryan, R Corizzo, I Kiringa, N Japkowicz
2019 18th IEEE International Conference On Machine Learning And Applications …, 2019
Big Data Techniques For Renewable Energy Market.
M Ceci, N Cassavia, R Corizzo, P Dicosta, D Malerba, G Maria, E Masciari, ...
SEBD, 369-377, 2014
Explainable image analysis for decision support in medical healthcare
R Corizzo, Y Dauphin, C Bellinger, E Zdravevski, N Japkowicz
2021 IEEE International Conference on Big Data (Big Data), 4667-4674, 2021
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