Alessio Martino

IEEE Access, 2021

2020

Data Mining by Evolving Agents for Clusters Discovery and Metric Learning.

[BibT_eX]

[DOI]

Proceedings of the Neural Advances in Processing Nonlinear Dynamic Signals, 2020

Supervised machine learning techniques and genetic optimization for occupational diseases risk prediction.

[BibT_eX]

[DOI]

Soft Comput., 2020

Modelling and Recognition of Protein Contact Networks by Multiple Kernel Learning and Dissimilarity Representations.

[BibT_eX]

[DOI]

Entropy, 2020

(Hyper)graph Kernels over Simplicial Complexes.

[BibT_eX]

[DOI]

Entropy, 2020

Predicting LoRaWAN Behavior: How Machine Learning Can Help.

[BibT_eX]

[DOI]

Comput., 2020

A Novel Algorithm for Online Inexact String Matching and its FPGA Implementation.

[BibT_eX]

[DOI]

Alessandro Cinti

Filippo Maria Bianchi

Cogn. Comput., 2020

Metabolic networks classification and knowledge discovery by information granulation.

[BibT_eX]

[DOI]

Comput. Biol. Chem., 2020

A generalized framework for ANFIS synthesis procedures by clustering techniques.

[BibT_eX]

[DOI]

Stefano Leonori

Massimiliano Luzi

Appl. Soft Comput., 2020

An Infoveillance System for Detecting and Tracking Relevant Topics From Italian Tweets During the COVID-19 Event.

[BibT_eX]

[DOI]

Enrico De Santis

IEEE Access, 2020

An Ecology-based Index for Text Embedding and Classification.

[BibT_eX]

[DOI]

Enrico De Santis

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

On the Optimization of Embedding Spaces via Information Granulation for Pattern Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Exploiting Cliques for Granular Computing-based Graph Classification.

[BibT_eX]

[DOI]

Luca Baldini

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Intrusion Detection in Wi-Fi Networks by Modular and Optimized Ensemble of Classifiers.

[BibT_eX]

[DOI]

Proceedings of the 12th International Joint Conference on Computational Intelligence, 2020

Complexity vs. Performance in Granular Embedding Spaces for Graph Classification.

[BibT_eX]

[DOI]

Luca Baldini

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.

[BibT_eX]

[DOI]

Stefano Leonori

IEEE Trans. Emerg. Top. Comput. Intell., 2019

(Hyper)Graph Embedding and Classification via Simplicial Complexes.

[BibT_eX]

[DOI]

Alessandro Giuliani

Algorithms, 2019

Calibration Techniques for Binary Classification Problems: A Comparative Analysis.

[BibT_eX]

[DOI]

Proceedings of the 11th International Joint Conference on Computational Intelligence, 2019

Stochastic Information Granules Extraction for Graph Embedding and Classification.

[BibT_eX]

[DOI]

Luca Baldini

Proceedings of the 11th International Joint Conference on Computational Intelligence, 2019

A Clustering Approach for Profiling LoRaWAN IoT Devices.

[BibT_eX]

[DOI]

Jacopo Maria Valtorta

Francesca Cuomo

Domenico Garlisi

Proceedings of the Ambient Intelligence - 15th European Conference, 2019

2018

Dissimilarity Space Representations and Automatic Feature Selection for Protein Function Prediction.

[BibT_eX]

[DOI]

Enrico De Santis

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Supervised Approaches for Protein Function Prediction by Topological Data Analysis.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017

Efficient Approaches for Solving the Large-Scale k-Medoids Problem: Towards Structured Data.

[BibT_eX]

[DOI]

Proceedings of the Computational Intelligence - 9th International Joint Conference, 2017

Efficient Approaches for Solving the Large-Scale k-medoids Problem.

[BibT_eX]

[DOI]

Proceedings of the 9th International Joint Conference on Computational Intelligence, 2017

ANFIS Synthesis by Clustering for Microgrids EMS Design.

[BibT_eX]

[DOI]

Stefano Leonori