Alessio Martino

According to our database1, Alessio Martino authored at least 27 papers between 2017 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Online presence:

On csauthors.net:

Bibliography

2021
An Enhanced Filtering-Based Information Granulation Procedure for Graph Embedding and Classification.
IEEE Access, 2021

2020
Data Mining by Evolving Agents for Clusters Discovery and Metric Learning.
Proceedings of the Neural Advances in Processing Nonlinear Dynamic Signals, 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

(Hyper)graph Kernels over Simplicial Complexes.
Entropy, 2020

Predicting LoRaWAN Behavior: How Machine Learning Can Help.
Comput., 2020

A Novel Algorithm for Online Inexact String Matching and its FPGA Implementation.
Cogn. Comput., 2020

Metabolic networks classification and knowledge discovery by information granulation.
Comput. Biol. Chem., 2020

A generalized framework for ANFIS synthesis procedures by clustering techniques.
Appl. Soft Comput., 2020

An Infoveillance System for Detecting and Tracking Relevant Topics From Italian Tweets During the COVID-19 Event.
IEEE Access, 2020

An Ecology-based Index for Text Embedding and Classification.
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

Exploiting Cliques for Granular Computing-based Graph Classification.
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

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

(Hyper)Graph Embedding and Classification via Simplicial Complexes.
Algorithms, 2019

Calibration Techniques for Binary Classification Problems: A Comparative Analysis.
Proceedings of the 11th International Joint Conference on Computational Intelligence, 2019

Stochastic Information Granules Extraction for Graph Embedding and Classification.
Proceedings of the 11th International Joint Conference on Computational Intelligence, 2019

A Clustering Approach for Profiling LoRaWAN IoT Devices.
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

Supervised Approaches for Protein Function Prediction by Topological Data Analysis.
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

Efficient Approaches for Solving the Large-Scale k-medoids Problem.
Proceedings of the 9th International Joint Conference on Computational Intelligence, 2017

ANFIS Synthesis by Clustering for Microgrids EMS Design.
Proceedings of the 9th International Joint Conference on Computational Intelligence, 2017


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