Enrico De Santis
Orcid: 0000-0003-4915-0723
According to our database1,
Enrico De Santis
authored at least 41 papers
between 2013 and 2024.
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Bibliography
2024
An Online Hierarchical Energy Management System for Energy Communities, Complying with the Current Technical Legislation Framework.
CoRR, 2024
2023
Multifractal Characterization of Texts for Pattern Recognition: On the Complexity of Morphological Structures in Modern and Ancient Languages.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023
On Information Granulation via Data Filtering for Granular Computing-Based Pattern Recognition: A Graph Embedding Case Study.
SN Comput. Sci., May, 2023
An Unsupervised Graph-Based Approach for Detecting Relevant Topics: A Case Study on the Italian Twitter Cohort during the Russia-Ukraine Conflict.
Inf., 2023
Prototype Theory Meets Word Embedding: A Novel Approach for Text Categorization via Granular Computing.
Cogn. Comput., 2023
A Comparison of Neural Word Embedding Language Models for Classifying Social Media Users in the Healthcare Context.
Proceedings of the International Joint Conference on Neural Networks, 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, 2023
2022
Estimation of fault probability in medium voltage feeders through calibration techniques in classification models.
Soft Comput., 2022
On component-wise dissimilarity measures and metric properties in pattern recognition.
PeerJ Comput. Sci., 2022
Algorithms, 2022
A statistical framework for labeling unlabelled data: a case study on anomaly detection in pressurization systems for high-speed railway trains.
Proceedings of the International Joint Conference on Neural Networks, 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, 2022
A Comparison between Crisp and Fuzzy Logic in an Autonomous Driving System for Boats.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2022
2021
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, 2021
2020
Modelling and Recognition of Protein Contact Networks by Multiple Kernel Learning and Dissimilarity Representations.
Entropy, 2020
An Infoveillance System for Detecting and Tracking Relevant Topics From Italian Tweets During the COVID-19 Event.
IEEE Access, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Facing Big Data by an Agent-Based Multimodal Evolutionary Approach to Classification.
Proceedings of the 2020 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, 2020
Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020
2019
Proceedings of the 11th International Joint Conference on Computational Intelligence, 2019
2018
A cluster-based dissimilarity learning approach for localized fault classification in Smart Grids.
Swarm Evol. Comput., 2018
Evolutionary Optimization of an Affine Model for Vulnerability Characterization in Smart Grids.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Dissimilarity Space Representations and Automatic Feature Selection for Protein Function Prediction.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
A Supervised Classification System based on Evolutive Multi-Agent Clustering for Smart Grids Faults Prediction.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2017
A Smoothing Technique for the Multifractal Analysis of a Medium Voltage Feeders Electric Current.
Int. J. Bifurc. Chaos, 2017
Hierarchical genetic optimization of a fuzzy logic system for energy flows management in microgrids.
Appl. Soft Comput., 2017
A learning intelligent System for classification and characterization of localized faults in Smart Grids.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
Computational Intelligence Techniques for Complex Systems with Applications to Smart Grids.
PhD thesis, 2016
A Hierarchical Genetic Optimization of a Fuzzy Logic System for Flow Control in Micro Grids.
CoRR, 2016
Optimization of a microgrid energy management system based on a Fuzzy Logic Controller.
Proceedings of the IECON 2016, 2016
Multi objective optimization of a fuzzy logic controller for energy management in microgrids.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
Modeling and recognition of smart grid faults by a combined approach of dissimilarity learning and one-class classification.
Neurocomputing, 2015
Position paper: a general framework for applying machine learning techniques in operating room.
CoRR, 2015
Short-Term Electric Load Forecasting Using Echo State Networks and PCA Decomposition.
IEEE Access, 2015
A learning intelligent system for fault detection in Smart Grid by a One-Class Classification approach.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
2014
Modeling and Recognition of Smart Grid Faults by a Combined Approach of Dissimilarity Measures and One-Class Classification.
CoRR, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
A Dissimilarity Learning Approach by Evolutionary Computation for Faults Recognition in Smart Grids.
Proceedings of the Computational Intelligence - International Joint Conference, 2014
Evolutionary Optimization of a One-Class Classification System for Faults Recognition in Smart Grids.
Proceedings of the ECTA 2014, 2014
2013
Genetic optimization of a fuzzy control system for energy flow management in micro-grids.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013