Enrico De Santis

Pubblicazioni

Titolo Pubblicato in Anno
A Comparison between crisp and fuzzy Logic in an autonomous driving system for boats Proc. of IEEE International Fuzzy Systems Conference 2022
On component-wise dissimilarity measures and metric properties in pattern recognition PEERJ. COMPUTER SCIENCE. 2022
A statistical framework for labeling unlabelled data: a case study on anomaly detection in pressurization systems for high-speed railway trains Proc. of 2022 International Joint Conference on Neural Networks (IJCNN) 2022
Progetto “Life for Silver Coast”: sistema di guida autonoma per un battello elettrico Memorie - XXXVI Riunione Nazionale dei Ricercatori di Elettrotecnica 2022
Tecniche di granular computing multi-etichetta in spazi non-metrici per l’analisi della sicurezza delle comunicazioni Memorie - XXXVI Riunione Nazionale dei Ricercatori di Elettrotecnica 2022
Ottimizzazione di sistemi lightweight granular computing per la classificazione di grafi etichettati Memorie - XXXVI Riunione Nazionale dei Ricercatori di Elettrotecnica 2022
Calibrazione di un classificatore ad-hoc basato su tecniche di clustering e algoritmi evolutivi per la stima della probabilità di guasto su reti MT Memorie - XXXVI Riunione Nazionale dei Ricercatori di Elettrotecnica 2022
La teoria dei prototipi incontra il word embedding: un nuovo approccio per la categorizzazione del testo mediante il Granular Computing Memorie - XXXVI Riunione Nazionale dei Ricercatori di Elettrotecnica 2022
Modellamento data-driven dei fenomeni d’invecchiamento nelle batterie al litio ad alte prestazioni Memorie - XXXVI Riunione Nazionale dei Ricercatori di Elettrotecnica 2022
Synthesis of an Evolutionary Fuzzy Multi-objective Energy Management System for an Electric Boat Proceedings of the 14th International Joint Conference on Computational Intelligence, IJCCI 2022 2022
A Modular Autonomous Driving System for Electric Boats based on Fuzzy Controllers and Q-Learning Proceedings of the 13th International Joint Conference on Computational Intelligence - FCTA 2021
Umanità, complessità e intelligenza artificiale. Un connubio perfetto 2021
An infoveillance system for detecting and tracking relevant topics from italian tweets during the COVID-19 event IEEE ACCESS 2020
Modelling and recognition of protein contact networks by multiple kernel learning and dissimilarity representations ENTROPY 2020
An ecology-based index for text embedding and classification Proceedings of the International Joint Conference on Neural Networks 2020
Facing Big Data by an agent-based multimodal evolutionary approach to classification Proceedings of the International Joint Conference on Neural Networks 2020
Classification and calibration techniques in predictive maintenance: A comparison between GMM and a custom one-class classifier Proceedings of the 12th International Joint Conference on Computational Intelligence - Volume 1: CI4EMS 2020
Mining m-grams by a granular computing approach for text classification Proceedings of the 12th International Joint Conference on Computational Intelligence - Volume 1: NCTA 2020
Calibration techniques for binary classification problems. A comparative analysis IJCCI 2019 - Proceedings of the 11th International Joint Conference on Computational Intelligence 2019
A cluster-based dissimilarity learning approach for localized fault classification in Smart Grids SWARM AND EVOLUTIONARY COMPUTATION 2018

ERC

  • PE6_11

KET

  • Big data & computing

Interessi di ricerca

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 Large Language Models, Smart Grids and predictive maintenance. With regard to the NLP field,  His interests span from the theoretical  advances of natural language modeling in relation to complex system theory to applications in text and social data mining. Since 2017, he has joined the innovative startup SisterPomos at “Sapienza” University and in 2024 co-founded the innovative startup TensorLoops, 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.

In September 2023 he published an article on Large Language Models and their relationships with language theory for Mondadori's quarterly magazine "Prometeo" entitled: "Apocalissi digitali e alchimie artificiali: il linguaggio nell'era della sua riproducibilità tecnica"

 

Social Links

 

Keywords

Computer Science - Artificial Intelligence
Smart Grids
ambiente - sustainability
artificial neural networks (ANNs)
deep learning
Natural Language Processing
natural language generation
BIG DATA; DATA MINING ; SPETTACOLO ; VISUAL DATA ;AUDIENCE; LINGUISTICA COMPUTAZIONALE ;

Progetti di Ricerca

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