DE SANTIS, ENRICO

DE SANTIS, ENRICO  

DIPARTIMENTO DI INGEGNERIA DELL'INFORMAZIONE, ELETTRONICA E TELECOMUNICAZIONI  

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Titolo Data di pubblicazione Autore(i) File
A cluster-based dissimilarity learning approach for localized fault classification in Smart Grids 2018 De Santis, Enrico; Rizzi, Antonello; Sadeghian, Alireza
A Comparison between crisp and fuzzy Logic in an autonomous driving system for boats 2022 Ferrandino, Emanuele; Capillo, Antonino; DE SANTIS, Enrico; FRATTALE MASCIOLI, Fabio Massimo; Rizzi, Antonello
A comparison between seasonal and non-seasonal forecasting techniques for energy demand time series in smart grids 2023 Rastkar, Sabereh; Zendehdel, Danial; DE SANTIS, Enrico; Rizzi, Antonello
A comparison of neural word embedding language models for classifying social media users in the healthcare context 2023 DE SANTIS, Enrico; Martino, Alessio; Ronci, Francesca; Rizzi, Antonello
A dissimilarity learning approach by evolutionary computation for faults recognition in smart grids 2016 DE SANTIS, Enrico; FRATTALE MASCIOLI, Fabio Massimo; Sadeghian, Alireza; Rizzi, Antonello
A learning intelligent system for classification and characterization of localized faults in Smart Grids 2017 DE SANTIS, Enrico; Rizzi, Antonello; Sadeghian, Alireza
A learning intelligent system for fault detection in Smart Grid by a One-Class Classification approach 2015 DE SANTIS, Enrico; Rizzi, Antonello; Sadeghian, Alireza; FRATTALE MASCIOLI, Fabio Massimo
A Modular Autonomous Driving System for Electric Boats based on Fuzzy Controllers and Q-Learning 2021 Ferrandino, Emanuele; Capillo, Antonino; DE SANTIS, Enrico; FRATTALE MASCIOLI, Fabio Massimo; Rizzi, Antonello
A Smoothing Technique for the Multifractal Analysis of a Medium Voltage Feeders Electric Current 2017 De Santis, E; Sadeghian, A; Rizzi, A
A statistical framework for labeling unlabelled data: a case study on anomaly detection in pressurization systems for high-speed railway trains 2022 Santis, Enrico De; Arno, Francesco; Martino, Alessio; Rizzi, Antonello
A supervised classification system based on evolutive multi-agent clustering for smart grids faults prediction 2018 Giampieri, Mauro; De Santis, Enrico; Rizzi, Antonello; Mascioli, Fabio Massimo Frattale
Algoritmi di Clustering e Classificazione basati su approccio Multiagente e loro impiego nella Predizione di Guasti nelle Smart Grid 2018 Rizzi, Antonello; Giampieri, Mauro; DE SANTIS, Enrico; FRATTALE MASCIOLI, Fabio Massimo
An ecology-based index for text embedding and classification 2020 Martino, Alessio; DE SANTIS, Enrico; Rizzi, Antonello
An Information Granulation Approach Through m-Grams for Text Classification 2023 DE SANTIS, Enrico; Capillo, Antonino; Ferrandino, Emanuele; FRATTALE MASCIOLI, Fabio Massimo; Rizzi, Antonello
An infoveillance system for detecting and tracking relevant topics from italian tweets during the COVID-19 event 2020 De Santis, Enrico; Martino, Alessio; Rizzi, Antonello
An unsupervised graph-based approach for detecting relevant topics. A case study on the Italian twitter cohort during the Russia–Ukraine conflict 2023 DE SANTIS, Enrico; Martino, Alessio; Ronci, Francesca; Rizzi, Antonello
Apocalissi digitali e alchimie artificiali. Il linguaggio nell'epoca della sua riproducibilità tecnica 2023 DE SANTIS, Enrico
Calibration techniques for binary classification problems. A comparative analysis 2019 Martino, Alessio.; De Santis, Enrico.; Baldini, Luca; Rizzi, Antonello
Calibrazione di un classificatore ad-hoc basato su tecniche di clustering e algoritmi evolutivi per la stima della probabilità di guasto su reti MT 2022 Rizzi, Antonello; DE SANTIS, Enrico; FRATTALE MASCIOLI, Fabio Massimo
Classification and calibration techniques in predictive maintenance: A comparison between GMM and a custom one-class classifier 2020 De Santis, Enrico; Capillo, Antonino; Frattale Mascioli, Fabio Massimo; Rizzi, Antonello