Enrico De Santis

57 papers B 21C 7Journal 23Unranked 5
YearRankTypeTitle / Venue / Authors
2025 B conf
2025: A GPT Odyssey. Deconstructing Intelligence by Gradual Dissolution of a Transformer.
IJCNN
Enrico De Santis, Alessio Martino, Edoardo Bruno, Antonello Rizzi
2025 B conf
A KAN-SHAP Framework for Fault Detection and Analysis in Smart Grids.
IJCNN
Enrico De Santis, Gianluca Ferro, Antonello Rizzi
2025 — conf
A Universal Urban Electricity -Demand Simulator for Developing and Evaluating Load-Scheduling and Forecasting Systems.
IJCCI (3)
Sabereh Taghdisi Rastkar, Saeid Jamili, Enrico De Santis, Antonello Rizzi
2025 B conf
Decision Focused Forecasting for Smart Grid Energy Management Systems.
IJCNN
Gianluca Ferro, Enrico De Santis, Antonino Capillo, Antonello Rizzi
2025 — conf
Degradation-Aware Energy Management in Residential Microgrids: A Reinforcement Learning Framework.
IJCCI (3)
Danial Zendehdel, Gianluca Ferro, Enrico De Santis, Antonello Rizzi
2025 J jnl
From Bag-of-Words to Transformers: A Comparative Study for Text Classification in Healthcare Discussions in Social Media.
IEEE Trans. Emerg. Top. Comput. Intell.
Enrico De Santis, Alessio Martino, Francesca Ronci, Antonello Rizzi
2025 B conf
Graph-Aug LSTM with Weighted Loss for Enhanced Energy Forecasting.
IJCNN
Sabereh Taghdisi Rastkar, Saeid Jamili, Enrico De Santis, Antonello Rizzi
2025 B conf
LSTM in Recursive Feedback Loops: A Study on Textual Evolution and Complexity.
IJCNN
Enrico De Santis, Alessio Martino, Francesca Ronci, Antonello Rizzi
2025 B conf
Multi-Objective Battery Dispatching using an Enhanced SAC Algorithm.
IJCNN
Danial Zendehdel, Enrico De Santis, Antonino Capillo, Philip Odonkor, Antonello Rizzi
2025 J jnl
Noosemia: toward a Cognitive and Phenomenological Account of Intentionality Attribution in Human-Generative AI Interaction.
CoRR
Enrico De Santis, Antonello Rizzi
2025 B conf
On a Fast and Explainable REC HEMS Based on Kolmogorov-Arnold Networks.
IJCNN
Antonino Capillo, Enrico De Santis, Antonello Rizzi
2024 B conf
An Extended Battery Equivalent Circuit Model for an Energy Community Real Time EMS.
IJCNN
Danial Zendehdel, Antonino Capillo, Enrico De Santis, Antonello Rizzi
2024 J jnl
An Online Hierarchical Energy Management System for Energy Communities, Complying with the Current Technical Legislation Framework.
CoRR
Antonino Capillo, Enrico De Santis, Fabio Massimo Frattale Mascioli, Antonello Rizzi
2024 J jnl
An XAI Approach to Melanoma Diagnosis: Explaining the Output of Convolutional Neural Networks with Feature Injection.
Inf.
Flavia Grignaffini, Enrico De Santis, Fabrizio Frezza, Antonello Rizzi
2024 J jnl
Human Versus Machine Intelligence: Assessing Natural Language Generation Models Through Complex Systems Theory.
IEEE Trans. Pattern Anal. Mach. Intell.
Enrico De Santis, Alessio Martino, Antonello Rizzi
2024 B conf
Improving Prediction Performances by Integrating Second Derivative in Microgrids Energy Load Forecasting.
IJCNN
Sabereh Taghdisi Rastkar, Saeid Jamili, Enrico De Santis, Antonello Rizzi
2024 J jnl
Modeling failures in smart grids by a bilinear logistic regression approach.
Neural Networks
Enrico De Santis, Antonello Rizzi
2023 C conf
A Comparison Between Seasonal and Non-Seasonal Forecasting Techniques for Energy Demand Time Series in Smart Grids.
IJCCI
Sabereh Taghdisi Rastkar, Danial Zendehdel, Enrico De Santis, Antonello Rizzi
2023 B conf
A Comparison of Neural Word Embedding Language Models for Classifying Social Media Users in the Healthcare Context.
IJCNN
Enrico De Santis, Alessio Martino, Francesca Ronci, Antonello Rizzi
2023 J jnl
An Unsupervised Graph-Based Approach for Detecting Relevant Topics: A Case Study on the Italian Twitter Cohort during the Russia-Ukraine Conflict.
Inf.
Enrico De Santis, Alessio Martino, Francesca Ronci, Antonello Rizzi
2023 J jnl
Multifractal Characterization of Texts for Pattern Recognition: On the Complexity of Morphological Structures in Modern and Ancient Languages.
IEEE Trans. Pattern Anal. Mach. Intell.
Enrico De Santis, Giovanni De Santis, Antonello Rizzi
2023 J jnl
On Information Granulation via Data Filtering for Granular Computing-Based Pattern Recognition: A Graph Embedding Case Study.
SN Comput. Sci.
Alessio Martino, Enrico De Santis, Antonello Rizzi
2023 J jnl
Prototype Theory Meets Word Embedding: A Novel Approach for Text Categorization via Granular Computing.
Cogn. Comput.
Enrico De Santis, Antonello Rizzi
2022 B conf
A Comparison between Crisp and Fuzzy Logic in an Autonomous Driving System for Boats.
FUZZ-IEEE
Emanuele Ferrandino, Antonino Capillo, Enrico De Santis, Fabio Massimo Frattale Mascioli, Antonello Rizzi
2022 B conf
A statistical framework for labeling unlabelled data: a case study on anomaly detection in pressurization systems for high-speed railway trains.
IJCNN
Enrico De Santis, Francesco Arnò, Alessio Martino, Antonello Rizzi
2022 J jnl
Estimation of fault probability in medium voltage feeders through calibration techniques in classification models.
Soft Comput.
Enrico De Santis, Francesco Arnò, Antonello Rizzi
2022 J jnl
Multifractal Characterization and Modeling of Blood Pressure Signals.
Algorithms
Enrico De Santis, Parisa Naraei, Alessio Martino, Alireza Sadeghian, Antonello Rizzi
2022 J jnl
On component-wise dissimilarity measures and metric properties in pattern recognition.
PeerJ Comput. Sci.
Enrico De Santis, Alessio Martino, Antonello Rizzi
2022 C conf
Synthesis of an Evolutionary Fuzzy Multi-objective Energy Management System for an Electric Boat.
IJCCI
Antonino Capillo, Enrico De Santis, Fabio Massimo Frattale Mascioli, Antonello Rizzi
2021 C conf
A Modular Autonomous Driving System for Electric Boats based on Fuzzy Controllers and Q-Learning.
IJCCI
Emanuele Ferrandino, Antonino Capillo, Enrico De Santis, Fabio Massimo Frattale Mascioli, Antonello Rizzi
2020 B conf
An Ecology-based Index for Text Embedding and Classification.
IJCNN
Alessio Martino, Enrico De Santis, Antonello Rizzi
2020 J jnl
An Infoveillance System for Detecting and Tracking Relevant Topics From Italian Tweets During the COVID-19 Event.
IEEE Access
Enrico De Santis, Alessio Martino, Antonello Rizzi
2020 C conf
Classification and Calibration Techniques in Predictive Maintenance: A Comparison between GMM and a Custom One-Class Classifier.
IJCCI
Enrico De Santis, Antonino Capillo, Fabio Massimo Frattale Mascioli, Antonello Rizzi
2020 B conf
Facing Big Data by an Agent-Based Multimodal Evolutionary Approach to Classification.
IJCNN
Mauro Giampieri, Luca Baldini, Enrico De Santis, Antonello Rizzi
2020 C conf
Mining M-Grams by a Granular Computing Approach for Text Classification.
IJCCI
Antonino Capillo, Enrico De Santis, Fabio Massimo Frattale Mascioli, Antonello Rizzi
2020 J jnl
Modelling and Recognition of Protein Contact Networks by Multiple Kernel Learning and Dissimilarity Representations.
Entropy
Alessio Martino, Enrico De Santis, Alessandro Giuliani, Antonello Rizzi
2019 C conf
Calibration Techniques for Binary Classification Problems: A Comparative Analysis.
IJCCI
Alessio Martino, Enrico De Santis, Luca Baldini, Antonello Rizzi
2018 B conf
A Supervised Classification System based on Evolutive Multi-Agent Clustering for Smart Grids Faults Prediction.
IJCNN
Mauro Giampieri, Enrico De Santis, Antonello Rizzi, Fabio Massimo Frattale Mascioli
2018 J jnl
A cluster-based dissimilarity learning approach for localized fault classification in Smart Grids.
Swarm Evol. Comput.
Enrico De Santis, Antonello Rizzi, Alireza Sadeghian
2018 B conf
Dissimilarity Space Representations and Automatic Feature Selection for Protein Function Prediction.
IJCNN
Enrico De Santis, Alessio Martino, Antonello Rizzi, Fabio Massimo Frattale Mascioli
2018 B conf
Evolutionary Optimization of an Affine Model for Vulnerability Characterization in Smart Grids.
IJCNN
Enrico De Santis, Maurizio Paschero, Antonello Rizzi, Fabio Massimo Frattale Mascioli
2017 J jnl
A Smoothing Technique for the Multifractal Analysis of a Medium Voltage Feeders Electric Current.
Int. J. Bifurc. Chaos
Enrico De Santis, Alireza Sadeghian, Antonello Rizzi
2017 B conf
A learning intelligent System for classification and characterization of localized faults in Smart Grids.
CEC
Enrico De Santis, Antonello Rizzi, Alireza Sadeghian
2017 J jnl
Hierarchical genetic optimization of a fuzzy logic system for energy flows management in microgrids.
Appl. Soft Comput.
Enrico De Santis, Antonello Rizzi, Alireza Sadeghian
2016 J jnl
A Hierarchical Genetic Optimization of a Fuzzy Logic System for Flow Control in Micro Grids.
CoRR
Enrico De Santis, Alireza Sadeghian, Antonello Rizzi
2016 — —
Computational Intelligence Techniques for Complex Systems with Applications to Smart Grids.
Enrico De Santis
2016 B conf
Multi objective optimization of a fuzzy logic controller for energy management in microgrids.
CEC
Stefano Leonori, Enrico De Santis, Antonello Rizzi, F. M. Frattale Mascioli
2016 C conf
Optimization of a microgrid energy management system based on a Fuzzy Logic Controller.
IECON
Stefano Leonori, Enrico De Santis, Antonello Rizzi, F. M. Frattale Mascioli
2015 B conf
A learning intelligent system for fault detection in Smart Grid by a One-Class Classification approach.
IJCNN
Enrico De Santis, Antonello Rizzi, Alireza Sadeghian, Fabio Massimo Frattale Mascioli
2015 J jnl
Modeling and recognition of smart grid faults by a combined approach of dissimilarity learning and one-class classification.
Neurocomputing
Enrico De Santis, Lorenzo Livi, Alireza Sadeghian, Antonello Rizzi
2015 J jnl
Position paper: a general framework for applying machine learning techniques in operating room.
CoRR
Filippo Maria Bianchi, Enrico De Santis, Hedieh Montazeri, Parisa Naraei, Alireza Sadeghian
2015 J jnl
Short-Term Electric Load Forecasting Using Echo State Networks and PCA Decomposition.
IEEE Access
Filippo Maria Bianchi, Enrico De Santis, Antonello Rizzi, Alireza Sadeghian
2014 — conf
A Dissimilarity Learning Approach by Evolutionary Computation for Faults Recognition in Smart Grids.
IJCCI (Selected Papers)
Enrico De Santis, Fabio Massimo Frattale Mascioli, Alireza Sadeghian, Antonello Rizzi
2014 — conf
Evolutionary Optimization of a One-Class Classification System for Faults Recognition in Smart Grids.
IJCCI (ECTA)
Enrico De Santis, Gianluca Distante, Fabio Massimo Frattale Mascioli, Alireza Sadeghian, Antonello Rizzi
2014 B conf
Fault recognition in smart grids by a one-class classification approach.
IJCNN
Enrico De Santis, Lorenzo Livi, Fabio Massimo Frattale Mascioli, Alireza Sadeghian, Antonello Rizzi
2014 J jnl
Modeling and Recognition of Smart Grid Faults by a Combined Approach of Dissimilarity Measures and One-Class Classification.
CoRR
Enrico De Santis, Lorenzo Livi, Alireza Sadeghian, Antonello Rizzi
2013 — conf
Genetic optimization of a fuzzy control system for energy flow management in micro-grids.
IFSA/NAFIPS
Enrico De Santis, Antonello Rizzi, Alireza Sadeghian, Fabio Massimo Frattale Mascioli