Roberto Corizzo

According to our database, Roberto Corizzo authored at least 22 papers between 2014 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Multi-aspect renewable energy forecasting.

Roberto Corizzo, Michelangelo Ceci, Hadi Fanaee-T, João Gama

Inf. Sci., 2021

2020

Deep Learning for Feature Extraction in Remote Sensing: A Case-Study of Aerial Scene Classification.

Biserka Petrovska, Eftim Zdravevski, Petre Lameski, Roberto Corizzo, Ivan Stajduhar, Jonatan Lerga

Sensors, 2020

Air Pollution Prediction with Multi-Modal Data and Deep Neural Networks.

Jovan Kalajdjieski, Eftim Zdravevski, Roberto Corizzo, Petre Lameski, Slobodan Kalajdziski, Ivan Miguel Pires, Nuno M. Garcia, Vladimir Trajkovik

Remote. Sens., 2020

Scalable auto-encoders for gravitational waves detection from time series data.

Roberto Corizzo, Michelangelo Ceci, Eftim Zdravevski, Nathalie Japkowicz

Expert Syst. Appl., 2020

ReMix: Calibrated Resampling for Class Imbalance in Deep learning.

Colin Bellinger, Roberto Corizzo, Nathalie Japkowicz

CoRR, 2020

ECHAD: Embedding-Based Change Detection From Multivariate Time Series in Smart Grids.

Michelangelo Ceci, Roberto Corizzo, Nathalie Japkowicz, Paolo Mignone, Gianvito Pio

IEEE Access, 2020

Short-term air pollution forecasting based on environmental factors and deep learning models.

Mirche Arsov, Eftim Zdravevski, Petre Lameski, Roberto Corizzo, Nikola Koteli, Kosta Mitreski, Vladimir Trajkovik

Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, 2020

One-Class Ensembles for Rare Genomic Sequences Identification.

Jonathan Kaufmann, Kathryn Asalone, Roberto Corizzo, Colin Saldanha, John Bracht, Nathalie Japkowicz

Proceedings of the Discovery Science - 23rd International Conference, 2020

2019

DENCAST: distributed density-based clustering for multi-target regression.

Roberto Corizzo, Gianvito Pio, Michelangelo Ceci, Donato Malerba

J. Big Data, 2019

Spark-GHSOM: Growing Hierarchical Self-Organizing Map for large scale mixed attribute datasets.

Ameya Malondkar, Roberto Corizzo, Iluju Kiringa, Michelangelo Ceci, Nathalie Japkowicz

Inf. Sci., 2019

Spatial autocorrelation and entropy for renewable energy forecasting.

Michelangelo Ceci, Roberto Corizzo, Donato Malerba, Aleksandra Rashkovska

Data Min. Knowl. Discov., 2019

Anomaly Detection and Repair for Accurate Predictions in Geo-distributed Big Data.

Roberto Corizzo, Michelangelo Ceci, Nathalie Japkowicz

Big Data Res., 2019

Pattern and Anomaly Localization in Complex and Dynamic Data.

Sid Ryan, Roberto Corizzo, Iluju Kiringa, Nathalie Japkowicz

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Deep Learning Versus Conventional Learning in Data Streams with Concept Drifts.

Sid Ryan, Roberto Corizzo, Iluju Kiringa, Nathalie Japkowicz

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Big Data Analytics and Predictive Modeling Approaches for the Energy Sector.

Roberto Corizzo, Michelangelo Ceci, Donato Malerba

Proceedings of the 2019 IEEE International Congress on Big Data, 2019

2018

An OWL Ontology for Supporting Semantic Services in Big Data Platforms.

Domenico Redavid, Roberto Corizzo, Donato Malerba

Proceedings of the 2018 IEEE International Congress on Big Data, 2018

2017

Predictive Modeling of PV Energy Production: How to Set Up the Learning Task for a Better Prediction?

Michelangelo Ceci, Roberto Corizzo, Fabio Fumarola, Donato Malerba, Aleksandra Rashkovska

IEEE Trans. Ind. Informatics, 2017

Forecasting via Distributed Density-Based Clustering.

Roberto Corizzo, Gianvito Pio, Michelangelo Ceci, Donato Malerba

Proceedings of the 25th Italian Symposium on Advanced Database Systems, 2017

2015

VIPOC Project Research Summary (Discussion Paper).

Michelangelo Ceci, Roberto Corizzo, Fabio Fumarola, Michele Ianni, Donato Malerba, Gaspare Maria, Elio Masciari, Marco Oliverio, Aleksandra Rashkovska

Proceedings of the 23rd Italian Symposium on Advanced Database Systems, 2015

Big Data Techniques For Supporting Accurate Predictions of Energy Production From Renewable Sources.

Michelangelo Ceci, Roberto Corizzo, Fabio Fumarola, Michele Ianni, Donato Malerba, Gaspare Maria, Elio Masciari, Marco Oliverio, Aleksandra Rashkovska

Proceedings of the 19th International Database Engineering & Applications Symposium, 2015

2014

Big Data Techniques For Renewable Energy Market.

Michelangelo Ceci, Nunziato Cassavia, Roberto Corizzo, Pietro Dicosta, Donato Malerba, Gaspare Maria, Elio Masciari, Camillo Pastura

Proceedings of the 22nd Italian Symposium on Advanced Database Systems, 2014

Innovative power operating center management exploiting big data techniques.

Michelangelo Ceci, Nunziato Cassavia, Roberto Corizzo, Pietro Dicosta, Donato Malerba, Gaspare Maria, Elio Masciari, Camillo Pastura

Proceedings of the 18th International Database Engineering & Applications Symposium, 2014