Alessio Martino

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Antonello RizziUniversity of Rome "La Sapienza", Information Engineering, Electronics and Telecommunications Dpt.Adresse e-mail validée de uniroma1.it
Alessandro GiulianiIstituto Superiore di SanitàAdresse e-mail validée de iss.it
Enrico De Santis, PhDDepartment of Information Engineering, Electronics and TelecommunicationsAdresse e-mail validée de uniroma1.it
Luca BaldiniUniversità degli Studi di Roma, La SapienzaAdresse e-mail validée de uniroma1.it
Stefano LeonoriDepartment of Information Engineering, Electronics and Telecommunications (DIET) University of RomeAdresse e-mail validée de uniroma1.it
Adriano Chio'Professor of Neurology, 'Rita Levi Montalcini' Department of Neuroscience, University of TurinAdresse e-mail validée de unito.it
Umberto Manera"Rita Levi Montalcini" Department of NeuroscienceAdresse e-mail validée de unito.it
Domenico GarlisiUniversità di Palermo - CNITAdresse e-mail validée de dieet.unipa.it
Francesca CuomoProfessor, Sapienza University of RomeAdresse e-mail validée de uniroma1.it
Mariano Bizzarriprofessor of biochemistryAdresse e-mail validée de uniroma1.it
Filippo Maria BianchiUiT the Arctic University of Norway - Dept. of Mathematics and StatisticsAdresse e-mail validée de uit.no
Enrico MaiorinoChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical SchoolAdresse e-mail validée de bwh.harvard.edu
Paolo Di LorenzoSapienza University of RomeAdresse e-mail validée de uniroma1.it
Mattia MerluzziCEA-LetiAdresse e-mail validée de cea.fr
Sergio BarbarossaSapienza University of RomeAdresse e-mail validée de uniroma1.it

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Alessio Martino

LUISS University, Department of Business and Management

Adresse e-mail validée de luiss.it

Machine Learning Big Data Analysis Computational Biology Complex Systems Complex Networks


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Microgrid energy management systems design by computational intelligence techniques S Leonori, A Martino, FMF Mascioli, A Rizzi Applied Energy 277, 115524, 2020	84	2020
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	69	2020
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	54	2020
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	44	2023
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	42	2018
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	39	2017
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	34	2018
Predicting LoRaWAN behavior: How machine learning can help F Cuomo, D Garlisi, A Martino, A Martino Computers 9 (3), 60, 2020	32	2020
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	32	2019
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	29	2020
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	28	2018
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	26	2020
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	23	2019
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	21	2018
(Hyper) graph embedding and classification via simplicial complexes A Martino, A Giuliani, A Rizzi Algorithms 12 (11), 223, 2019	20	2019
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	19	2019
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	17	2019
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	16	2021
Calibration Techniques for Binary Classification Problems: A Comparative Analysis A Martino, E De Santis, L Baldini, A Rizzi Proceedings of the 11th International Joint Conference on Computational …, 2019	16	2019
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, Tromsø, Norway …, 2017	16	2017

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