CORIZZO, ROBERTO

CORIZZO, ROBERTO  

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Risultati 1 - 20 di 28 (tempo di esecuzione: 0.025 secondi).
Titolo Data di pubblicazione Autore(i) File
Aerial scene classification through fine-tuning with adaptive learning rates and label smoothing 1-gen-2020 Petrovska, B.; Atanasova-Pacemska, T.; Corizzo, R.; Mignone, P.; Lameski, P.; Zdravevski, E.
Air pollution prediction with multi-modal data and deep neural networks 1-gen-2020 Kalajdjieski, J.; Zdravevski, E.; Corizzo, R.; Lameski, P.; Kalajdziski, S.; Pires, I. M.; Garcia, N. M.; Trajkovik, V.
An OWL Ontology for Supporting Semantic Services in Big Data Platforms 1-gen-2018 Redavid, D.; Corizzo, R.; Malerba, D.
An OWL Ontology for Supporting Semantic Services in Big Data Platforms 1-gen-2018 Redavid, D.; Corizzo, R.; Malerba, D.
Anomaly Detection and Repair for Accurate Predictions in Geo-distributed Big Data 1-gen-2019 Corizzo, R.; Ceci, M.; Japkowicz, N.
Big Data Analytics and Predictive Modeling Approaches for the Energy Sector 1-gen-2019 Corizzo, R.; Ceci, M.; Malerba, D.
Big Data Techniques For Renewable Energy Market. 1-gen-2014 Ceci, Michelangelo; Cassavia, N; Corizzo, R; Dicosta, P; Malerba, D; Maria, G; Masciari, E; Pastura, C.
Big data techniques for supporting accurate predictions of energy production from renewable sources 1-gen-2015 Ceci, Michelangelo; Corizzo, Roberto; Fumarola, Fabio; Ianni, Michele; Malerba, Donato; Maria, Gaspare; Masciari, Elio; Oliverio, Marco; Rashkovska, Aleksandra
Deep learning for feature extraction in remote sensing: A case-study of aerial scene classification 1-gen-2020 Petrovska, B.; Zdravevski, E.; Lameski, P.; Corizzo, R.; Stajduhar, I.; Lerga, J.
Deep learning versus conventional learning in data streams with concept drifts 1-gen-2019 Ryan, S.; Corizzo, R.; Kiringa, I.; Japkowicz, N.
DENCAST: distributed density-based clustering for multi-target regression 1-gen-2019 Corizzo, R.; Pio, G.; Ceci, M.; Malerba, D.
ECHAD: Embedding-Based Change Detection from Multivariate Time Series in Smart Grids 1-gen-2020 Ceci, M.; Corizzo, R.; Japkowicz, N.; Mignone, P.; Pio, G.
Feature extraction based on word embedding models for intrusion detection in network traffic 1-gen-2020 Corizzo, Roberto; Zdravevski, Eftim; Russell, Myles; Vagliano, Andrew; Japkowicz, Nathalie
Forecasting via distributed density-based clustering 1-gen-2017 Corizzo, Roberto; Pio, Gianvito; Ceci, Michelangelo; Malerba, Donato
Innovative power operating center management exploiting big data techniques. 1-gen-2014 Ceci, Michelangelo; Cassavia, N; Corizzo, R; Dicosta, P; Malerba, D; Maria, G; Masciari, E; Pastura, C.
Literature on applied machine learning in metagenomic classification: A scoping review 1-gen-2020 Tonkovic, P.; Kalajdziski, S.; Zdravevski, E.; Lameski, P.; Corizzo, R.; Pires, I. M.; Garcia, N. M.; Loncar-Turukalo, T.; Trajkovik, V.
Multi-aspect renewable energy forecasting 1-gen-2020 Corizzo, R.; Ceci, M.; Fanaee-T, H.; Gama, J.
Multi-horizon air pollution forecasting with deep neural networks 1-gen-2021 Arsov, M.; Zdravevski, E.; Lameski, P.; Corizzo, R.; Koteli, N.; Gramatikov, S.; Mitreski, K.; Trajkovik, V.
One-Class Ensembles for Rare Genomic Sequences Identification 1-gen-2020 Kaufmann, J.; Asalone, K.; Corizzo, R.; Saldanha, C.; Bracht, J.; Japkowicz, N.
Pattern and Anomaly Detection in Complex and Dynamic Data 1-gen-2019 Ryan, Sid; Corizzo, Roberto; Kiringa, Iluju; Japkowicz, Nathalie