Genetic optimization of a fuzzy control system for energy flow management in micro-grids. - Enrico De Santis; Antonello Rizzi; Alireza Sadeghian; Fabio Massimo Frattale Mascioli (IFSA/NAFIPS, 2013)

Evolutionary Optimization of a One-Class Classification System for Faults Recognition in Smart Grids. - Enrico De Santis; Gianluca Distante; Fabio Massimo Frattale Mascioli; Alireza Sadeghian; Antonello Rizzi (IJCCI (ECTA), 2014)

A Dissimilarity Learning Approach by Evolutionary Computation for Faults Recognition in Smart Grids. - Enrico De Santis; Fabio Massimo Frattale Mascioli; Alireza Sadeghian; Antonello Rizzi (IJCCI (Selected Papers), 2014)

Fault recognition in smart grids by a one-class classification approach. - Enrico De Santis; Lorenzo Livi; Fabio Massimo Frattale Mascioli; Alireza Sadeghian; Antonello Rizzi (IJCNN, 2014)

Modeling and Recognition of Smart Grid Faults by a Combined Approach of Dissimilarity Measures and One-Class Classification. - Enrico De Santis; Lorenzo Livi; Alireza Sadeghian; Antonello Rizzi (CoRR, 2014)

A learning intelligent system for fault detection in Smart Grid by a One-Class Classification approach. - Enrico De Santis; Antonello Rizzi; Alireza Sadeghian; Fabio Massimo Frattale Mascioli (IJCNN, 2015)

Short-Term Electric Load Forecasting Using Echo State Networks and PCA Decomposition. - Filippo Maria Bianchi; Enrico De Santis; Antonello Rizzi; Alireza Sadeghian (IEEE Access, 2015)

Position paper: a general framework for applying machine learning techniques in operating room. - Filippo Maria Bianchi; Enrico De Santis; Hedieh Montazeri; Parisa Naraei; Alireza Sadeghian (CoRR, 2015)

Modeling and recognition of smart grid faults by a combined approach of dissimilarity learning and one-class classification. - Enrico De Santis; Lorenzo Livi; Alireza Sadeghian; Antonello Rizzi (Neurocomputing, 2015)

Multi objective optimization of a fuzzy logic controller for energy management in microgrids. - Stefano Leonori; Enrico De Santis; Antonello Rizzi; F. M. Frattale Mascioli (CEC, 2016)

Optimization of a microgrid energy management system based on a Fuzzy Logic Controller. - Stefano Leonori; Enrico De Santis; Antonello Rizzi; F. M. Frattale Mascioli (IECON, 2016)

A Hierarchical Genetic Optimization of a Fuzzy Logic System for Flow Control in Micro Grids. - Enrico De Santis; Alireza Sadeghian; Antonello Rizzi (CoRR, 2016)

Computational Intelligence Techniques for Complex Systems with Applications to Smart Grids. - Enrico De Santis (2016)

A learning intelligent System for classification and characterization of localized faults in Smart Grids. - Enrico De Santis; Antonello Rizzi; Alireza Sadeghian (CEC, 2017)

Hierarchical genetic optimization of a fuzzy logic system for energy flows management in microgrids. - Enrico De Santis; Antonello Rizzi; Alireza Sadeghian (Appl. Soft Comput., 2017)

A Smoothing Technique for the Multifractal Analysis of a Medium Voltage Feeders Electric Current. - Enrico De Santis; Alireza Sadeghian; Antonello Rizzi (Int. J. Bifurc. Chaos, 2017)

A Supervised Classification System based on Evolutive Multi-Agent Clustering for Smart Grids Faults Prediction. - Mauro Giampieri; Enrico De Santis; Antonello Rizzi; Fabio Massimo Frattale Mascioli (IJCNN, 2018)

Dissimilarity Space Representations and Automatic Feature Selection for Protein Function Prediction. - Enrico De Santis; Alessio Martino; Antonello Rizzi; Fabio Massimo Frattale Mascioli (IJCNN, 2018)

Evolutionary Optimization of an Affine Model for Vulnerability Characterization in Smart Grids. - Enrico De Santis; Maurizio Paschero; Antonello Rizzi; Fabio Massimo Frattale Mascioli (IJCNN, 2018)

A cluster-based dissimilarity learning approach for localized fault classification in Smart Grids. - Enrico De Santis; Antonello Rizzi; Alireza Sadeghian (Swarm Evol. Comput., 2018)

Calibration Techniques for Binary Classification Problems: A Comparative Analysis. - Alessio Martino; Enrico De Santis; Luca Baldini 002; Antonello Rizzi (IJCCI, 2019)

Mining M-Grams by a Granular Computing Approach for Text Classification. - Antonino Capillo; Enrico De Santis; Fabio Massimo Frattale Mascioli; Antonello Rizzi (IJCCI, 2020)

Classification and Calibration Techniques in Predictive Maintenance: A Comparison between GMM and a Custom One-Class Classifier. - Enrico De Santis; Antonino Capillo; Fabio Massimo Frattale Mascioli; Antonello Rizzi (IJCCI, 2020)

Facing Big Data by an Agent-Based Multimodal Evolutionary Approach to Classification. - Mauro Giampieri; Luca Baldini 002; Enrico De Santis; Antonello Rizzi (IJCNN, 2020)

An Ecology-based Index for Text Embedding and Classification. - Alessio Martino; Enrico De Santis; Antonello Rizzi (IJCNN, 2020)

An Infoveillance System for Detecting and Tracking Relevant Topics From Italian Tweets During the COVID-19 Event. - Enrico De Santis; Alessio Martino; Antonello Rizzi (IEEE Access, 2020)

Modelling and Recognition of Protein Contact Networks by Multiple Kernel Learning and Dissimilarity Representations. - Alessio Martino; Enrico De Santis; Alessandro Giuliani; Antonello Rizzi (Entropy, 2020)

A Modular Autonomous Driving System for Electric Boats based on Fuzzy Controllers and Q-Learning. - Emanuele Ferrandino; Antonino Capillo; Enrico De Santis; Fabio Massimo Frattale Mascioli; Antonello Rizzi (IJCCI, 2021)

A Comparison between Crisp and Fuzzy Logic in an Autonomous Driving System for Boats. - Emanuele Ferrandino; Antonino Capillo; Enrico De Santis; Fabio Massimo Frattale Mascioli; Antonello Rizzi (FUZZ-IEEE, 2022)

Synthesis of an Evolutionary Fuzzy Multi-objective Energy Management System for an Electric Boat. - Antonino Capillo; Enrico De Santis; Fabio Massimo Frattale Mascioli; Antonello Rizzi (IJCCI, 2022)

A statistical framework for labeling unlabelled data: a case study on anomaly detection in pressurization systems for high-speed railway trains. - Enrico De Santis; Francesco Arnò; Alessio Martino; Antonello Rizzi (IJCNN, 2022)

Multifractal Characterization and Modeling of Blood Pressure Signals. - Enrico De Santis; Parisa Naraei; Alessio Martino; Alireza Sadeghian; Antonello Rizzi (Algorithms, 2022)

On component-wise dissimilarity measures and metric properties in pattern recognition. - Enrico De Santis; Alessio Martino; Antonello Rizzi (PeerJ Comput. Sci., 2022)

Estimation of fault probability in medium voltage feeders through calibration techniques in classification models. - Enrico De Santis; Francesco Arnò; Antonello Rizzi (Soft Comput., 2022)

A Comparison Between Seasonal and Non-Seasonal Forecasting Techniques for Energy Demand Time Series in Smart Grids. - Sabereh Taghdisi Rastkar; Danial Zendehdel; Enrico De Santis; Antonello Rizzi (IJCCI, 2023)

A Comparison of Neural Word Embedding Language Models for Classifying Social Media Users in the Healthcare Context. - Enrico De Santis; Alessio Martino; Francesca Ronci; Antonello Rizzi (IJCNN, 2023)

Prototype Theory Meets Word Embedding: A Novel Approach for Text Categorization via Granular Computing. - Enrico De Santis; Antonello Rizzi (Cogn. Comput., 2023)

An Unsupervised Graph-Based Approach for Detecting Relevant Topics: A Case Study on the Italian Twitter Cohort during the Russia-Ukraine Conflict. - Enrico De Santis; Alessio Martino; Francesca Ronci; Antonello Rizzi (Inf., 2023)

On Information Granulation via Data Filtering for Granular Computing-Based Pattern Recognition: A Graph Embedding Case Study. - Alessio Martino; Enrico De Santis; Antonello Rizzi (SN Comput. Sci., 2023)

Multifractal Characterization of Texts for Pattern Recognition: On the Complexity of Morphological Structures in Modern and Ancient Languages. - Enrico De Santis; Giovanni De Santis; Antonello Rizzi (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Improving Prediction Performances by Integrating Second Derivative in Microgrids Energy Load Forecasting. - Sabereh Taghdisi Rastkar; Saeid Jamili; Enrico De Santis; Antonello Rizzi (IJCNN, 2024)

An Extended Battery Equivalent Circuit Model for an Energy Community Real Time EMS. - Danial Zendehdel; Antonino Capillo; Enrico De Santis; Antonello Rizzi (IJCNN, 2024)

An Online Hierarchical Energy Management System for Energy Communities, Complying with the Current Technical Legislation Framework. - Antonino Capillo; Enrico De Santis; Fabio Massimo Frattale Mascioli; Antonello Rizzi (CoRR, 2024)

Modeling failures in smart grids by a bilinear logistic regression approach. - Enrico De Santis; Antonello Rizzi (Neural Networks, 2024)

Human Versus Machine Intelligence: Assessing Natural Language Generation Models Through Complex Systems Theory. - Enrico De Santis; Alessio Martino; Antonello Rizzi (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

From Bag-of-Words to Transformers: A Comparative Study for Text Classification in Healthcare Discussions in Social Media. - Enrico De Santis; Alessio Martino; Francesca Ronci; Antonello Rizzi (IEEE Trans. Emerg. Top. Comput. Intell., 2025)