Alessio Martino
Orcid: 0000-0003-1730-5436
According to our database1,
Alessio Martino
authored at least 42 papers
between 2017 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2023
J. Ambient Intell. Humaniz. Comput., December, 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
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
2022
Intrusion Detection in Wi-Fi Networks by Modular and Optimized Ensemble of Classifiers: An Extended Analysis.
SN Comput. Sci., 2022
A Multi-objective Optimization Approach for the Synthesis of Granular Computing-Based Classification Systems in the Graph Domain.
SN Comput. Sci., 2022
On component-wise dissimilarity measures and metric properties in pattern recognition.
PeerJ Comput. Sci., 2022
A class-specific metric learning approach for graph embedding by information granulation.
Appl. Soft Comput., 2022
Algorithms, 2022
On Information Granulation via Data Clustering for Granular Computing-Based Pattern Recognition: A Graph Embedding Case Study.
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
A Granular Computing Approach for Multi-Labelled Sequences Classification in IEEE 802.11 Networks.
Proceedings of the International Joint Conference on Neural Networks, 2022
2021
An Enhanced Filtering-Based Information Granulation Procedure for Graph Embedding and Classification.
IEEE Access, 2021
Relaxed Dissimilarity-based Symbolic Histogram Variants for Granular Graph Embedding.
Proceedings of the 13th International Joint Conference on Computational Intelligence, 2021
Proceedings of the IEEE Global Communications Conference, 2021
2020
Proceedings of the Neural Advances in Processing Nonlinear Dynamic Signals, 2020
PhD thesis, 2020
Supervised machine learning techniques and genetic optimization for occupational diseases risk prediction.
Soft Comput., 2020
Modelling and Recognition of Protein Contact Networks by Multiple Kernel Learning and Dissimilarity Representations.
Entropy, 2020
Cogn. Comput., 2020
Metabolic networks classification and knowledge discovery by information granulation.
Comput. Biol. Chem., 2020
Appl. Soft Comput., 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
On the Optimization of Embedding Spaces via Information Granulation for Pattern Recognition.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Intrusion Detection in Wi-Fi Networks by Modular and Optimized Ensemble of Classifiers.
Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020
Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020
2019
ANFIS Microgrid Energy Management System Synthesis by Hyperplane Clustering Supported by Neurofuzzy Min-Max Classifier.
IEEE Trans. Emerg. Top. Comput. Intell., 2019
Proceedings of the 11th International Joint Conference on Computational Intelligence, 2019
Proceedings of the 11th International Joint Conference on Computational Intelligence, 2019
Proceedings of the Ambient Intelligence - 15th European Conference, 2019
2018
Dissimilarity Space Representations and Automatic Feature Selection for Protein Function Prediction.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Distance Matrix Pre-Caching and Distributed Computation of Internal Validation Indices in k-medoids Clustering.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
2017
Supervised Approaches for Function Prediction of Proteins Contact Networks from Topological Structure Information.
Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017
Efficient Approaches for Solving the Large-Scale k-Medoids Problem: Towards Structured Data.
Proceedings of the Computational Intelligence - 9th International Joint Conference, 2017
Proceedings of the 9th International Joint Conference on Computational Intelligence, 2017
Proceedings of the 9th International Joint Conference on Computational Intelligence, 2017