desantis
Enrico De Santis (Member, IEEE) received the MASc (Hons.) and the PhD degrees in Information and Communication Engineering from “Sapienza” University of Rome, Italy. During the PhD he worked as an assistant researcher and successively as a postdoc with the Department of Computer Science, Metropolitan University of Toronto. Currently, he holds a researcher position with the Department of Information Engineering, Electronics and Telecommunications (DIET) at “Sapienza”. His research interests conducted in the CIPAR LABS at DIET 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, His 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” University, managing Artificial Intelligence projects in production environments.
In 2021 he wrote a book published with the ARACNE publishing house entitled "Umanità, Complessità, Intelligenza Artificiale. Un connubio perfetto". The essay has an interdisciplinary perspective and intertwines various topics relating to the relationship between intelligent systems at the basis of Artificial Intelligence and complex systems in a human-centric and systemic perspective.
Social links
- Academic Page
- CIPAR Labs
- Researchgate
- Academia.edu
- Google Scholar
- Sapienza
- Scientific vision
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Last pubblication since 2020
E De Santis, G De Santis, A Rizzi
IEEE Transactions on Pattern Analysis and Machine Intelligence
2023
On component-wise dissimilarity measures and metric properties in pattern recognition
E De Santis, A Martino, A Rizzi
PeerJ Computer Science 8, e1106
2
2022
E De Santis, F Arnò, A Rizzi
Soft Computing 26 (15), 7175-7193
1
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
1
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
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
R Antonello, G Giuseppe, 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
R Antonello, A Martino, B Luca, 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
1
2021
A Martino, E De Santis, A Giuliani, A Rizzi
Entropy 22 (7), 794
9
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
2
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
3
2020
E De Santis, A Martino, A Rizzi
Ieee Access 8, 132527-132538
45
2020