Enrico De Santis

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 33

Top Topics

Pattern Recognition

Evolutionary Optimization

Top Venues

Publications

Enrico De Santis, Antonello Rizzi
Modeling failures in smart grids by a bilinear logistic regression approach. Neural Networks 174 (2024)
Enrico De Santis, Alessio Martino, Antonello Rizzi
Human Versus Machine Intelligence: Assessing Natural Language Generation Models Through Complex Systems Theory. IEEE Trans. Pattern Anal. Mach. Intell. 46 (7) (2024)
Antonino Capillo, Enrico De Santis, Fabio Massimo Frattale Mascioli, Antonello Rizzi
An Online Hierarchical Energy Management System for Energy Communities, Complying with the Current Technical Legislation Framework. CoRR (2024)
Enrico De Santis, Alessio Martino, Francesca Ronci, Antonello Rizzi
A Comparison of Neural Word Embedding Language Models for Classifying Social Media Users in the Healthcare Context. IJCNN (2023)
Sabereh Taghdisi Rastkar, Danial Zendehdel, Enrico De Santis, Antonello Rizzi
A Comparison Between Seasonal and Non-Seasonal Forecasting Techniques for Energy Demand Time Series in Smart Grids. IJCCI (2023)
Enrico De Santis, Giovanni De Santis, Antonello Rizzi
Multifractal Characterization of Texts for Pattern Recognition: On the Complexity of Morphological Structures in Modern and Ancient Languages. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Enrico De Santis, Antonello Rizzi
Prototype Theory Meets Word Embedding: A Novel Approach for Text Categorization via Granular Computing. Cogn. Comput. 15 (3) (2023)
Enrico De Santis, Alessio Martino, Francesca Ronci, Antonello Rizzi
An Unsupervised Graph-Based Approach for Detecting Relevant Topics: A Case Study on the Italian Twitter Cohort during the Russia-Ukraine Conflict. Inf. 14 (6) (2023)
Alessio Martino, Enrico De Santis, Antonello Rizzi
On Information Granulation via Data Filtering for Granular Computing-Based Pattern Recognition: A Graph Embedding Case Study. SN Comput. Sci. 4 (3) (2023)
Enrico De Santis, Alessio Martino, Antonello Rizzi
On component-wise dissimilarity measures and metric properties in pattern recognition. PeerJ Comput. Sci. 8 (2022)
Emanuele Ferrandino, Antonino Capillo, Enrico De Santis, Fabio Massimo Frattale Mascioli, Antonello Rizzi
A Comparison between Crisp and Fuzzy Logic in an Autonomous Driving System for Boats. FUZZ-IEEE (2022)
Enrico De Santis, Francesco Arnò, Antonello Rizzi
Estimation of fault probability in medium voltage feeders through calibration techniques in classification models. Soft Comput. 26 (15) (2022)
Enrico De Santis, Francesco Arnò, Alessio Martino, Antonello Rizzi
A statistical framework for labeling unlabelled data: a case study on anomaly detection in pressurization systems for high-speed railway trains. IJCNN (2022)
Antonino Capillo, Enrico De Santis, Fabio Massimo Frattale Mascioli, Antonello Rizzi
Synthesis of an Evolutionary Fuzzy Multi-objective Energy Management System for an Electric Boat. IJCCI (2022)
Enrico De Santis, Parisa Naraei, Alessio Martino, Alireza Sadeghian, Antonello Rizzi
Multifractal Characterization and Modeling of Blood Pressure Signals. Algorithms 15 (8) (2022)
Emanuele Ferrandino, Antonino Capillo, Enrico De Santis, Fabio Massimo Frattale Mascioli, Antonello Rizzi
A Modular Autonomous Driving System for Electric Boats based on Fuzzy Controllers and Q-Learning. IJCCI (2021)
Enrico De Santis, Antonino Capillo, Fabio Massimo Frattale Mascioli, Antonello Rizzi
Classification and Calibration Techniques in Predictive Maintenance: A Comparison between GMM and a Custom One-Class Classifier. IJCCI (2020)
Antonino Capillo, Enrico De Santis, Fabio Massimo Frattale Mascioli, Antonello Rizzi
Mining M-Grams by a Granular Computing Approach for Text Classification. IJCCI (2020)
Alessio Martino, Enrico De Santis, Alessandro Giuliani, Antonello Rizzi
Modelling and Recognition of Protein Contact Networks by Multiple Kernel Learning and Dissimilarity Representations. Entropy 22 (7) (2020)
Mauro Giampieri, Luca Baldini, Enrico De Santis, Antonello Rizzi
Facing Big Data by an Agent-Based Multimodal Evolutionary Approach to Classification. IJCNN (2020)
Alessio Martino, Enrico De Santis, Antonello Rizzi
An Ecology-based Index for Text Embedding and Classification. IJCNN (2020)
Enrico De Santis, Alessio Martino, Antonello Rizzi
An Infoveillance System for Detecting and Tracking Relevant Topics From Italian Tweets During the COVID-19 Event. IEEE Access 8 (2020)
Alessio Martino, Enrico De Santis, Luca Baldini, Antonello Rizzi
Calibration Techniques for Binary Classification Problems: A Comparative Analysis. IJCCI (2019)
Enrico De Santis, Antonello Rizzi, Alireza Sadeghian
A cluster-based dissimilarity learning approach for localized fault classification in Smart Grids. Swarm Evol. Comput. 39 (2018)
Enrico De Santis, Alessio Martino, Antonello Rizzi, Fabio Massimo Frattale Mascioli
Dissimilarity Space Representations and Automatic Feature Selection for Protein Function Prediction. IJCNN (2018)
Mauro Giampieri, Enrico De Santis, Antonello Rizzi, Fabio Massimo Frattale Mascioli
A Supervised Classification System based on Evolutive Multi-Agent Clustering for Smart Grids Faults Prediction. IJCNN (2018)
Enrico De Santis, Maurizio Paschero, Antonello Rizzi, Fabio Massimo Frattale Mascioli
Evolutionary Optimization of an Affine Model for Vulnerability Characterization in Smart Grids. IJCNN (2018)
Enrico De Santis, Alireza Sadeghian, Antonello Rizzi
A Smoothing Technique for the Multifractal Analysis of a Medium Voltage Feeders Electric Current. Int. J. Bifurc. Chaos 27 (14) (2017)
Enrico De Santis, Antonello Rizzi, Alireza Sadeghian
A learning intelligent System for classification and characterization of localized faults in Smart Grids. CEC (2017)
Enrico De Santis, Antonello Rizzi, Alireza Sadeghian
Hierarchical genetic optimization of a fuzzy logic system for energy flows management in microgrids. Appl. Soft Comput. 60 (2017)
Enrico De Santis, Alireza Sadeghian, Antonello Rizzi
A Hierarchical Genetic Optimization of a Fuzzy Logic System for Flow Control in Micro Grids. CoRR (2016)
Stefano Leonori, Enrico De Santis, Antonello Rizzi, F. M. Frattale Mascioli
Multi objective optimization of a fuzzy logic controller for energy management in microgrids. CEC (2016)
Stefano Leonori, Enrico De Santis, Antonello Rizzi, F. M. Frattale Mascioli
Optimization of a microgrid energy management system based on a Fuzzy Logic Controller. IECON (2016)
Enrico De Santis, Antonello Rizzi, Alireza Sadeghian, Fabio Massimo Frattale Mascioli
A learning intelligent system for fault detection in Smart Grid by a One-Class Classification approach. IJCNN (2015)
Filippo Maria Bianchi, Enrico De Santis, Antonello Rizzi, Alireza Sadeghian
Short-Term Electric Load Forecasting Using Echo State Networks and PCA Decomposition. IEEE Access 3 (2015)
Enrico De Santis, Lorenzo Livi, Alireza Sadeghian, Antonello Rizzi
Modeling and recognition of smart grid faults by a combined approach of dissimilarity learning and one-class classification. Neurocomputing 170 (2015)
Filippo Maria Bianchi, Enrico De Santis, Hedieh Montazeri, Parisa Naraei, Alireza Sadeghian
Position paper: a general framework for applying machine learning techniques in operating room. CoRR (2015)
Enrico De Santis, Gianluca Distante, Fabio Massimo Frattale Mascioli, Alireza Sadeghian, Antonello Rizzi
Evolutionary Optimization of a One-Class Classification System for Faults Recognition in Smart Grids. IJCCI (ECTA) (2014)
Enrico De Santis, Fabio Massimo Frattale Mascioli, Alireza Sadeghian, Antonello Rizzi
A Dissimilarity Learning Approach by Evolutionary Computation for Faults Recognition in Smart Grids. IJCCI (Selected Papers) (2014)
Enrico De Santis, Lorenzo Livi, Alireza Sadeghian, Antonello Rizzi
Modeling and Recognition of Smart Grid Faults by a Combined Approach of Dissimilarity Measures and One-Class Classification. CoRR (2014)
Enrico De Santis, Lorenzo Livi, Fabio Massimo Frattale Mascioli, Alireza Sadeghian, Antonello Rizzi
Fault recognition in smart grids by a one-class classification approach. IJCNN (2014)
Enrico De Santis, Antonello Rizzi, Alireza Sadeghian, Fabio Massimo Frattale Mascioli
Genetic optimization of a fuzzy control system for energy flow management in micro-grids. IFSA/NAFIPS (2013)