Enrico De Santis
Enrico De Santis received the M.A.Sc. (Hons.) and the Ph.D. degrees in Information and Communication engineering from "Sapienza" University of Rome (Italy). During the Ph.D. he worked as an assistant researcher and successively as a postdoc with the Department of Computer Science, Ryerson University, Toronto. Currently, he holds the researcher position with the Department of Information Engineering, Electronics and Telecommunications (DIET) at "Sapienza". Enrico's research interests include Artificial Intelligence, Complex Systems and data-driven modeling, Natural Language Processing, computational intelligence, neural networks and fuzzy systems with application to several technical areas such as Smart Grids and predictive maintenance. With regard to the NLP field, Enrico's interests span from the theoretical advances of natural language modeling to applications in text and social data mining. Since 2017, he has joined the innovative startup SisterPomos at "Sapienza" Unversity as CTO, dealing with the management of Artificial Intelligence projects in production environments.
Courses
TEORIA DEI CIRCUITI I - 2021/2022 - Ingegneria dell'Informazione (sede di Latina)
ELETTROTECNICA - 2021/2022 - Ingegneria Ambientale e Industriale (sede di Latina) L-7
PATTERN RECOGNITION - 2023/2024 - Ingegneria Elettronica - Electronics Engineering
COMPUTATIONAL INTELLIGENCE - 2023/2024 - Ingegneria Elettronica - Electronics Engineering
Ph.D. Course: From Philosophy of science to meta-design - 2 CFU
My first essay [Italian]
Un connubio Perfetto
- Enrico De Santis
Il terreno seminato dal pensiero sedimentatosi nei secoli per opera di filosofi, scienziati e pensatori è ormai pronto per dare i propri frutti. Abbiamo un mondo complesso, interconnesso e datificato, un’infrastruttura tecnologica senza precedenti e un nuovo ritrovato alchemico potentissimo: l’Intelligenza Artificiale. Ne dibattono i media mainstream mentre già abita tutti i dispositivi digitali, dalle automobili alle nostre case. Biasimata e lodata è stata definita da Capi di Stato una tecnologia strategica a livello geopolitico e sta ai fatturati delle big company come il lievito alla panificazione. L’Intelligenza Artificiale, non è solo business, né algoritmi che tramano per sostituirci. Se nel recente passato la corsa allo spazio era il futuro, oggi l’Intelligenza Artificiale è la navicella capace di esplorare i misteri della mente e della coscienza celati all’interno dell’essere umano, un animale simbolico che esperisce la complessità del mondo, ma fatica a decifrarla, e tramite un’esclusiva attività semiotizzante si nutre e si evolve nell’ineffabile tentativo, attraverso i saperi, di fornire risposte alle “grandi domande”. Il pensiero sistemico, attraverso l’approccio olistico ed eco–centrico, si configura sia come momento di analisi che di sintesi non solo nell’offrire nuovi modi di pensare l’Intelligenza Artificiale ma anche per ridefinire la cifra con cui l’essere umano si raffronta con se stesso e la Natura circostante.
Umanità, complessità e intelligenza artificiale
Un connubio perfetto
Autore: Enrico De Santis
Prefazione di: Fabio Massimo Frattale Mascioli, Marco London, Antonello Rizzi
Collana: Invenis | 9
Luogo di pubblicazione: Roma
Data di pubblicazione: 10 dicembre 2021
Pagine: 744
Formato (cm): 17 x 24
Allestimento: brossura
Peso (g): 1086
ISBN International Standard Book Number
Cartaceo: 979-12-5994-562-4
PDF: 979-12-5994-664-5
ASIN Amazon Standard Identification Number
Cartaceo: B09NGZCNDX
Kindle: -
Audible: -
[EN] The land sown by thought that has settled over the centuries by philosophers, scientists and thinkers is now ready to bear fruit. We have a complex, interconnected and dated world, an unprecedented technological infrastructure and a new powerful alchemical discovery: Artificial Intelligence. The mainstream media debates it while it already inhabits all digital devices, from cars to our homes. Blamed and praised, it has been defined by Heads of State as a strategic technology at a geopolitical level and is related to the turnover of big companies such as baking yeast. Artificial Intelligence is not just business, nor algorithms that plot to replace us. If in the recent past the space race was the future, today Artificial Intelligence is the spacecraft capable of exploring the mysteries of the mind and conscience hidden within the human being, a symbolic animal that experiences the complexity of the world, but struggles to decipher it, and through an exclusive semiotic activity it feeds and evolves in the ineffable attempt, through knowledge, to provide answers to the "big questions". Systemic thinking, through the holistic and eco-centric approach, is configured both as a moment of analysis and synthesis not only in offering new ways of thinking about Artificial Intelligence but also to redefine the figure with which the human being compares with himself and the surrounding Nature.
Umanità, complessità e intelligenza artificiale: Preview with index [Italian]
9791259945624.pdf
Pubblications
Modelling Failures in Smart Grids by a Bilinear Logistic Regression Approach
E De Santis, A Rizzi
Available at SSRN 4600241
2024
E De Santis, A Martino, A Rizzi
IEEE Transactions on Pattern Analysis and Machine Intelligence
2024
A Capillo, E De Santis, FMF Mascioli, A Rizzi
arXiv preprint arXiv:2402.01688
2024
E De Santis
Prometeo (Mondadori), 32 - 42
2023
E De Santis, A Martino, F Ronci, A Rizzi
2023 International Joint Conference on Neural Networks (IJCNN), 1-9
2023
E De Santis, A Martino, F Ronci, A Rizzi
Information 14 (6), 330
2023
E De Santis, A Rizzi
Cognitive Computation 15 (3), 976-997
2023
A Martino, E De Santis, A Rizzi
SN Computer Science 4 (3), 314
2023
E De Santis, G De Santis, A Rizzi
IEEE Transactions on Pattern Analysis and Machine Intelligence
2023
Facing Graph Classification Problems by a Multi-agent Information Granulation Approach
E De Santis, G Granato, A Rizzi
Studies in Computational Intelligence (SCI) 1119, 185 - 204
2023
E Ferrandino, A Capillo, E De Santis, FMF Mascioli, A Rizzi
Studies in Computational Intelligence (SCI) 119, 163-184
2023
An Information Granulation Approach Through m-Grams for Text Classification
E De Santis, A Capillo, E Ferrandino, FMF Mascioli, A Rizzi
Studies in Computational Intelligence (SCI) 1119, 73-89
2023
On component-wise dissimilarity measures and metric properties in pattern recognition
E De Santis, A Martino, A Rizzi
PeerJ Computer Science 8, e1106
2022
E De Santis, F Arnò, A Rizzi
Soft Computing 26 (15), 7175-7193
2022
Multifractal Characterization and Modeling of Blood Pressure Signals
E De Santis, P Naraei, A Martino, A Sadeghian, A Rizzi
Algorithms 15 (8), 259-275
2022
E De Santis, F Arnò, A Martino, A Rizzi
2022 International Joint Conference on Neural Networks (IJCNN), 1-8
2022
A Comparison between Crisp and Fuzzy Logic in an Autonomous Driving System for Boats
E Ferrandino, A Capillo, E De Santis, FMF Mascioli, A Rizzi
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8
2022
Modellamento data-driven dei fenomeni d’invecchiamento nelle batterie al litio ad alte prestazioni
A Rizzi, E DE SANTIS, FM FRATTALE MASCIOLI
Memorie-XXXVI Riunione Nazionale dei Ricercatori di Elettrotecnica, 1-2
2022
A Rizzi, E DE SANTIS, FM FRATTALE MASCIOLI
Memorie-XXXVI Riunione Nazionale dei Ricercatori di Elettrotecnica, 1-2
2022
Synthesis of an Evolutionary Fuzzy Multi-objective Energy Management System for an Electric Boat
A Capillo, E De Santis, FM Fabio Massimo, A Rizzi
Proceedings of the 14th International Joint Conference on Computational …
2022
A Rizzi, E DE SANTIS, FM FRATTALE MASCIOLI
Memorie-XXXVI Riunione Nazionale dei Ricercatori di Elettrotecnica, 1-2
2022
Progetto “Life for Silver Coast”: sistema di guida autonoma per un battello elettrico
FM FRATTALE MASCIOLI, E Ferrandino, A Capillo, E DE SANTIS, A Rizzi
Memorie-XXXVI Riunione Nazionale dei Ricercatori di Elettrotecnica, 1
2022
A Rizzi, G Granato, A Martino, E De Santis, FMF Mascioli
Memorie-XXXVI Riunione Nazionale dei Ricercatori di Elettrotecnica, 1-2
2022
Ottimizzazione di sistemi lightweight Granular Computing per la classificazione di grafi etichettati
A Rizzi, A Martino, L Baldini, E De Santis, FMF Mascioli
Memorie-XXXVI Riunione Nazionale dei Ricercatori di Elettrotecnica
2022
Umanità, complessità e intelligenza artificiale. Un connubio perfetto
E De Santis
ISBN: 9791259945624 9, 1-744
2021
A Modular Autonomous Driving System for Electric Boats based on Fuzzy Controllers and Q-Learning.
E Ferrandino, A Capillo, E De Santis, FMF Mascioli, A Rizzi
IJCCI, 185-195
2021
A Martino, E De Santis, A Giuliani, A Rizzi
Entropy 22 (7), 794
2020
Facing big data by an agent-based multimodal evolutionary approach to classification
M Giampieri, L Baldini, E De Santis, A Rizzi
2020 International Joint Conference on Neural Networks (IJCNN), 1-8
2020
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
E De Santis, A Martino, A Rizzi
Ieee Access 8, 132527-132538
2020
Mining m-Grams by a Granular Computing Approach for Text Classification
A Capillo, E De Santis, FM Frattale Mascioli, A Rizzi
Proceedings of the 12th International Joint Conference on Computational …
2020
E De Santis, A Capillo, FM Frattale Mascioli, A Rizzi
Proceedings of the 12th International Joint Conference on Computational …
2020
Calibration Techniques for Binary Classification Problems: A Comparative Analysis.
A Martino, E De Santis, L Baldini, A Rizzi
IJCCI, 487-495
2019
M Giampieri, E De Santis, A Rizzi, FMF Mascioli
2018 International Joint Conference on Neural Networks (IJCNN), 1-8
2018
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
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
A Rizzi, M Giampieri, E DE SANTIS, FM FRATTALE MASCIOLI
Memorie-XXXIV Riunione Nazionale dei Ricercatori di Elettrotecnica, 1-2
2018
A Rizzi, E DE SANTIS, M Paschero, FM FRATTALE MASCIOLI
Memorie-XXXIV Riunione Nazionale dei Ricercatori di Elettrotecnica, 1-2
2018
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
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
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
E De Santis, A Rizzi, A Sadeghian
2017 IEEE Congress on Evolutionary Computation (CEC), 2669-2676
2017
Social emotional data analysis. The map of Europe
MF Pelagalli, F Greco, E De Santis
SIS 2017. Statistics and Data Science: new challenges, new generations 114 …
2017
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
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
I Sistemi Complessi come Sistemi di Sistemi
E De Santis
2016
A Rizzi, S Leonori, E DE SANTIS, FM FRATTALE MASCIOLI
Memorie ET2016, 1-2
2016
Computational Intelligence Techniques for Complex Systems with Applications to Smart Grids
E De Santis, A RIZZI
2016
A dissimilarity learning approach by evolutionary computation for faults recognition in smart grids
E De Santis, FMF Mascioli, A Sadeghian, A Rizzi
Computational Intelligence: International Joint Conference, IJCCI 2014 Rome …
2016
E De Santis, L Livi, A Sadeghian, A Rizzi
Neurocomputing 170, 368-383
2015
Position paper: a general framework for applying machine learning techniques in operating room
FM Bianchi, E De Santis, H Montazeri, P Naraei, A Sadeghian
arXiv preprint arXiv:1511.09099
2015
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
E De Santis
2015
E De Santis, A Rizzi, A Sadeghian, FMF Mascioli
2015 international joint conference on neural networks (IJCNN), 1-8
2015
E De Santis, G Distante, FMF Mascioli, A Sadeghian, A Rizzi
IJCCI (ECTA), 95-103
2014
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
A Rizzi, E DE SANTIS, FM FRATTALE MASCIOLI, L Stefano, A Silvio
Memorie ET2014, 1-2
2014
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
A Rizzi, G Storti, F Possemato, M Paschero, E DE SANTIS, ...
Memorie ET2013, 1-2
2013
E De Santis
2011
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