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Enrico De Santis, PhD
Enrico De Santis, PhD
Researcher at Department of Information Engineering, Electronics and Telecommunications
Verified email at uniroma1.it - Homepage
Title
Cited by
Cited by
Year
Short-term electric load forecasting using echo state networks and PCA decomposition
FM Bianchi, E De Santis, A Rizzi, A Sadeghian
Ieee Access 3, 1931-1943, 2015
1592015
Hierarchical Genetic Optimization of a Fuzzy Logic System for Energy Flows Management in Microgrids
E De Santis, A Rizzi, A Sadeghian
Applied Soft Computing, 2017
932017
Modeling and recognition of smart grid faults by a combined approach of dissimilarity learning and one-class classification
E De Santis, L Livi, A Sadeghian, A Rizzi
Neurocomputing 170, 368-383, 2015
662015
An infoveillance system for detecting and tracking relevant topics from Italian tweets during the COVID-19 event
E De Santis, A Martino, A Rizzi
Ieee Access 8, 132527-132538, 2020
632020
Genetic optimization of a fuzzy control system for energy flow management in micro-grids
E De Santis, A Rizzi, A Sadeghiany, FMF Mascioli
2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 418-423, 2013
522013
Optimization of a microgrid energy management system based on a fuzzy logic controller
S Leonori, E De Santis, A Rizzi, FMF Mascioli
IECON 2016-42nd Annual Conference of the IEEE Industrial Electronics Society†…, 2016
462016
Multi objective optimization of a fuzzy logic controller for energy management in microgrids
S Leonori, E De Santis, A Rizzi, FMF Mascioli
2016 IEEE Congress on Evolutionary Computation (CEC), 319-326, 2016
332016
A cluster-based dissimilarity learning approach for localized fault classification in Smart Grids
E De Santis, A Rizzi, A Sadeghian
Swarm and Evolutionary Computation, SSN 2210-6502, https://doi.org/10.1016/j†…, 2017
282017
Dissimilarity space representations and automatic feature selection for protein function prediction
E De Santis, A Martino, A Rizzi, FMF Mascioli
2018 International joint conference on neural networks (IJCNN), 1-8, 2018
202018
A learning intelligent system for classification and characterization of localized faults in smart grids
E De Santis, A Rizzi, A Sadeghian
2017 IEEE Congress on Evolutionary Computation (CEC), 2669-2676, 2017
172017
Calibration Techniques for Binary Classification Problems: A Comparative Analysis.
A Martino, E De Santis, L Baldini, A Rizzi
IJCCI, 487-495, 2019
152019
Fault recognition in smart grids by a one-class classification approach
E De Santis, L Livi, FMF Mascioli, A Sadeghian, A Rizzi
2014 International Joint Conference on Neural Networks (IJCNN), 1949-1956, 2014
142014
An ecology-based index for text embedding and classification
A Martino, E De Santis, A Rizzi
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
102020
Modelling and recognition of protein contact networks by multiple kernel learning and dissimilarity representations
A Martino, E De Santis, A Giuliani, A Rizzi
Entropy 22 (7), 794, 2020
92020
A supervised classification system based on evolutive multi-agent clustering for smart grids faults prediction
M Giampieri, E De Santis, A Rizzi, FMF Mascioli
2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018
92018
A learning intelligent system for fault detection in smart grid by a one-class classification approach
E De Santis, A Rizzi, A Sadeghian, FMF Mascioli
2015 international joint conference on neural networks (IJCNN), 1-8, 2015
92015
Evolutionary optimization of an affine model for vulnerability characterization in smart grids
E De Santis, M Paschero, A Rizzi, FMF Mascioli
2018 international joint conference on neural networks (IJCNN), 1-8, 2018
72018
Social emotional data analysis. The map of Europe
MF Pelagalli, F Greco, E De Santis
Proceedings of the Conference of the Italian Statistical Society 114, 779-784, 2017
72017
A smoothing technique for the multifractal analysis of a medium voltage feeders electric current
E De Santis, A Sadeghian, A Rizzi
International Journal of Bifurcation and Chaos 27 (14), 1750211, 2017
62017
A statistical framework for labeling unlabelled data: a case study on anomaly detection in pressurization systems for high-speed railway trains
E De Santis, F ArnÚ, A Martino, A Rizzi
2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022
52022
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