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Alessio Martino
Alessio Martino
LUISS University, Department of Business and Management
Verified email at luiss.it
Title
Cited by
Cited by
Year
Microgrid Energy Management Systems Design by Computational Intelligence Techniques
S Leonori, A Martino, FMF Mascioli, A Rizzi
Applied Energy 277, 115524, 2020
412020
Supervised machine learning techniques and genetic optimization for occupational diseases risk prediction
A Di Noia, A Martino, P Montanari, A Rizzi
Soft Computing 24 (6), 4393-4406, 2020
372020
Granular Computing Techniques for Bioinformatics Pattern Recognition Problems in Non-Metric Spaces
A Martino, A Giuliani, A Rizzi
Computational Intelligence for Pattern Recognition, 53-81, 2018
352018
Efficient Approaches for Solving the Large-Scale k-medoids Problem
A Martino, A Rizzi, FM Frattale Mascioli
Proceedings of the 9th International Joint Conference on Computational …, 2017
342017
An Infoveillance System for Detecting and Tracking Relevant Topics From Italian Tweets During the COVID-19 Event
E De Santis, A Martino, A Rizzi
IEEE Access 8, 132527-132538, 2020
322020
Metabolic networks classification and knowledge discovery by information granulation
A Martino, A Giuliani, V Todde, M Bizzarri, A Rizzi
Computational Biology and Chemistry 84, 107187, 2020
242020
Efficient Approaches for Solving the Large-Scale k-Medoids Problem: Towards Structured Data
A Martino, A Rizzi, FM Frattale Mascioli
Computational Intelligence: 9th International Joint Conference, IJCCI 2017 …, 2019
242019
Distance Matrix Pre-Caching and Distributed Computation of Internal Validation Indices in k-medoids Clustering
A Martino, A Rizzi, FM Frattale Mascioli
2018 International Joint Conference on Neural Networks (IJCNN), 5596-5603, 2018
222018
Supervised Approaches for Protein Function Prediction by Topological Data Analysis
A Martino, A Rizzi, FM Frattale Mascioli
2018 International Joint Conference on Neural Networks (IJCNN), 5620-5627, 2018
212018
Stochastic Information Granules Extraction for Graph Embedding and Classification
L Baldini, A Martino, A Rizzi
Proceedings of the 11th International Joint Conference on Computational …, 2019
192019
(Hyper)Graph Embedding and Classification via Simplicial Complexes
A Martino, A Giuliani, A Rizzi
Algorithms 12 (11), 223, 2019
162019
A novel algorithm for online inexact string matching and its FPGA implementation
A Cinti, FM Bianchi, A Martino, A Rizzi
Cognitive Computation, 1-19, 2019
162019
Supervised Approaches for Function Prediction of Proteins Contact Networks from Topological Structure Information
A Martino, E Maiorino, A Giuliani, M Giampieri, A Rizzi
Scandinavian Conference on Image Analysis, 285-296, 2017
162017
Dissimilarity Space Representations and Automatic Feature Selection for Protein Function Prediction
E De Santis, A Martino, A Rizzi, FM Frattale Mascioli
2018 International Joint Conference on Neural Networks (IJCNN), 5604-5611, 2018
152018
Towards a class-aware information granulation for graph embedding and classification
L Baldini, A Martino, A Rizzi
Computational Intelligence: 11th International Joint Conference, IJCCI 2019 …, 2021
122021
On the Optimization of Embedding Spaces via Information Granulation for Pattern Recognition
A Martino, FMF Mascioli, A Rizzi
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
112020
ANFIS Microgrid Energy Management System Synthesis by Hyperplane Clustering Supported by Neurofuzzy Min–Max Classifier
S Leonori, A Martino, FMF Mascioli, A Rizzi
IEEE Transactions on Emerging Topics in Computational Intelligence 3 (3 …, 2019
112019
ANFIS Synthesis by Clustering for Microgrids EMS Design
S Leonori, A Martino, A Rizzi, FM Frattale Mascioli
Proceedings of the 9th International Joint Conference on Computational …, 2017
112017
A Clustering Approach for Profiling LoRaWAN IoT Devices
JM Valtorta, A Martino, F Cuomo, D Garlisi
European Conference on Ambient Intelligence, 58-74, 2019
92019
Predicting LoRaWAN Behavior: How Machine Learning Can Help
F Cuomo, D Garlisi, A Martino, A Martino
Computers 9 (3), 60, 2020
82020
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Articles 1–20