IRIS

Sfoglia per Autore  

Opzioni
Mostrati risultati da 1 a 20 di 31
Titolo Data di pubblicazione Autore(i) File
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.
Big Data Techniques For Renewable Energy Market (Discussion Paper) 1-gen-2014 Ceci, M; Cassavia, N; Corizzo, R; Dicosta, P; Malerba, Donato; Maria, G; Masciari, E; Pastura, C.
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.
VIPOC project research summary (discussion paper) 1-gen-2015 Ceci, Michelangelo; Corizzo, Roberto; Fumarola, Fabio; Ianni, Michele; Malerba, Donato; Maria, Gaspare; Masciari, Elio; Oliverio, Marco; Rashkovska, Aleksandra
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
Predictive modeling of PV energy production: How to set up the learning task for a better prediction? 1-gen-2017 Ceci, Michelangelo; Corizzo, Roberto; Fumarola, Fabio; Malerba, Donato; Rashkovska, Aleksandra
Forecasting via distributed density-based clustering 1-gen-2017 Corizzo, Roberto; Pio, Gianvito; Ceci, Michelangelo; Malerba, Donato
An OWL Ontology for Supporting Semantic Services in Big Data Platforms 1-gen-2018 Redavid, D.; Corizzo, R.; Malerba, D.
Big Data Analytics and Predictive Modeling Approaches for the Energy Sector 1-gen-2019 Corizzo, R.; Ceci, M.; Malerba, D.
DENCAST: distributed density-based clustering for multi-target regression 1-gen-2019 Corizzo, R.; Pio, G.; Ceci, M.; Malerba, D.
Pattern and Anomaly Detection in Complex and Dynamic Data 1-gen-2019 Ryan, Sid; Corizzo, Roberto; Kiringa, Iluju; Japkowicz, Nathalie
Deep learning versus conventional learning in data streams with concept drifts 1-gen-2019 Ryan, S.; Corizzo, R.; Kiringa, I.; Japkowicz, N.
Anomaly Detection and Repair for Accurate Predictions in Geo-distributed Big Data 1-gen-2019 Corizzo, R.; Ceci, M.; Japkowicz, N.
Spark-GHSOM: Growing Hierarchical Self-Organizing Map for large scale mixed attribute datasets 1-gen-2019 Malondkar, A.; Corizzo, R.; Kiringa, I.; Ceci, M.; Japkowicz, N.
Spatial autocorrelation and entropy for renewable energy forecasting 1-gen-2019 Ceci, M.; Corizzo, R.; Malerba, D.; Rashkovska, A.
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
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.
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.
Short-term air pollution forecasting based on environmental factors and deep learning models 1-gen-2020 Arsov, M.; Zdravevski, E.; Lameski, P.; Corizzo, R.; Koteli, N.; Mitreski, K.; Trajkovik, V.
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.
Mostrati risultati da 1 a 20 di 31
Legenda icone

  •  file ad accesso aperto
  •  file disponibili sulla rete interna
  •  file disponibili agli utenti autorizzati
  •  file disponibili solo agli amministratori
  •  file sotto embargo
  •  nessun file disponibile