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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
772020
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
642020
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
512020
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
412018
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
382017
Multi-attribute group decision making based on T-spherical fuzzy soft rough average aggregation operators
M Akram, A Martino
Granular Computing 8 (1), 171-207, 2023
372023
Supervised approaches for protein function prediction by topological data analysis
A Martino, A Rizzi, FMF Mascioli
2018 International joint conference on neural networks (IJCNN), 1-8, 2018
312018
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
302019
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
292020
Distance matrix pre-caching and distributed computation of internal validation indices in k-medoids clustering
A Martino, A Rizzi, FMF Mascioli
2018 international joint conference on neural networks (IJCNN), 1-8, 2018
282018
A novel algorithm for online inexact string matching and its FPGA implementation
A Cinti, FM Bianchi, A Martino, A Rizzi
Cognitive Computation 12 (2), 369-387, 2020
252020
Stochastic Information Granules Extraction for Graph Embedding and Classification
L Baldini, A Martino, A Rizzi
IJCCI, 391-402, 2019
232019
Predicting LoRaWAN behavior: How machine learning can help
F Cuomo, D Garlisi, A Martino, A Martino
Computers 9 (3), 60, 2020
222020
Dissimilarity space representations and automatic feature selection for protein function prediction
E De Santis, A Martino, A Rizzi, FMF Mascioli
2018 International joint conference on neural networks (IJCNN), 1-8, 2018
202018
(Hyper) graph embedding and classification via simplicial complexes
A Martino, A Giuliani, A Rizzi
Algorithms 12 (11), 223, 2019
192019
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
192019
A clustering approach for profiling LoRaWAN IoT devices
JM Valtorta, A Martino, F Cuomo, D Garlisi
Ambient Intelligence: 15th European Conference, AmI 2019, Rome, Italy …, 2019
172019
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
162021
Supervised approaches for function prediction of proteins contact networks from topological structure information
A Martino, E Maiorino, A Giuliani, M Giampieri, A Rizzi
Image Analysis: 20th Scandinavian Conference, SCIA 2017, Tromsų, Norway …, 2017
162017
Calibration Techniques for Binary Classification Problems: A Comparative Analysis.
A Martino, E De Santis, L Baldini, A Rizzi
IJCCI, 487-495, 2019
152019
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