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enrico.desantis@uniroma1.it
Enrico De Santis
Ricercatore
Struttura:
DIPARTIMENTO DI INGEGNERIA DELL'INFORMAZIONE, ELETTRONICA E TELECOMUNICAZIONI
E-mail:
enrico.desantis@uniroma1.it
Pagina istituzionale corsi di laurea
Curriculum Sapienza
Publications
Title
Published on
Year
Degradation mechanisms and differential curve modeling for non-invasive diagnostics of lithium cells: An overview
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
2025
Human versus machine intelligence. Assessing natural language generation models through complex systems theory
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
2024
Modeling failures in smart grids by a bilinear logistic regression approach
NEURAL NETWORKS
2024
PNRR – PE2 – NEST – SPOKE 8 Sistemi per la gestione ottima di flussi energetici nelle comunità energetiche rinnovabili
Memorie - XXXVIII Riunione Nazionale dei Ricercatori di Elettrotecnica
2024
PNRR – CN4 - MOST – SPOKE 13 Sistemi di time series forecasting
Memorie - XXXVIII Riunione Nazionale dei Ricercatori di Elettrotecnica
2024
Modellamento del linguaggio generato da esseri umani e da intelligenze artificiali generative tramite la teoria della complessità
Memorie - XXXVIII Riunione Nazionale dei Ricercatori di Elettrotecnica
2024
From bag-of-words to transformers: a comparative study for text classification in healthcare discussions in social media
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE
2024
An Extended Battery Equivalent Circuit Model for an Energy Community Real Time EMS
2024 International Joint Conference on Neural Networks (IJCNN)
2024
Improving prediction performances by integrating second derivative in microgrids energy load forecasting
2024 International Joint Conference on Neural Networks (IJCNN)
2024
An XAI Approach to Melanoma Diagnosis: Explaining the Output of Convolutional Neural Networks with Feature Injection
INFORMATION
2024
Multifractal Characterization of Texts for Pattern Recognition: on the Complexity of Morphological Structures in Modern and Ancient Languages
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
2023
On Information Granulation via Data Filtering for Granular Computing-Based Pattern Recognition: A Graph Embedding Case Study
SN COMPUTER SCIENCE
2023
Prototype Theory Meets Word Embedding: A Novel Approach for Text Categorization via Granular Computing
COGNITIVE COMPUTATION
2023
An Unsupervised Graph-Based Approach for Detecting Relevant Topics: A Case Study on the Italian Twitter Cohort during the Russia–Ukraine Conflict
INFORMATION
2023
A Comparison of Neural Word Embedding Language Models for Classifying Social Media Users in the Healthcare Context
2023 International Joint Conference on Neural Networks (IJCNN)
2023
Apocalissi digitali e alchimie artificiali. Il linguaggio nell'epoca della sua riproducibilità tecnica
PROMETEO
2023
Facing Graph Classification Problems by a Multi-agent Information Granulation Approach
Computational intelligence
2023
An Information Granulation Approach Through m-Grams for Text Classification
Computational intelligence
2023
Improving Simulation Realism in Developing a Fuzzy Modular Autonomous Driving System for Electric Boats
Studies in Computational Intelligence
2023
A comparison between seasonal and non-seasonal forecasting techniques for energy demand time series in smart grids
Proceedings of the 15th International Joint Conference on Computational Intelligence - NCTA 2023
2023
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ERC
PE6_11
KET
Big data & computing
Interessi di ricerca
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
Explainable AI in sistemi di modellamento del linguaggio naturale tramite l'approccio ibrido Granular Computing - Deep Learning
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