| Concilio L Sessa, LD Biasi S, 2016 | 27* | 2016 |
| A cloud approach for melanoma detection based on deep learning networks L Di Biasi, AA Citarella, M Risi, G Tortora IEEE Journal of Biomedical and Health Informatics 26 (3), 962-972, 2021 | 26 | 2021 |
| Yada: a novel tool for molecular docking calculations S Piotto, L Di Biasi, R Fino, R Parisi, L Sessa, S Concilio Journal of computer-aided molecular design 30, 753-759, 2016 | 19 | 2016 |
| GRIMD: distributed computing for chemists and biologists S Piotto, L Di Biasi, S Concilio, A Castiglione, G Cattaneo Bioinformation 10 (1), 43, 2014 | 16 | 2014 |
| Transmembrane peptides as sensors of the membrane physical state S Piotto, L Di Biasi, L Sessa, S Concilio Frontiers in Physics 6, 48, 2018 | 13 | 2018 |
| Refactoring and performance analysis of the main CNN architectures: using false negative rate minimization to solve the clinical images melanoma detection problem L Di Biasi, F De Marco, A Auriemma Citarella, M Castrillón-Santana, ... BMC bioinformatics 24 (1), 386, 2023 | 11 | 2023 |
| Mapreduce in computational biology-a synopsis G Cattaneo, R Giancarlo, S Piotto, U Ferraro Petrillo, G Roscigno, ... Advances in Artificial Life, Evolutionary Computation, and Systems Chemistry …, 2017 | 10 | 2017 |
| Novel algorithm for efficient distribution of molecular docking calculations L Di Biasi, R Fino, R Parisi, L Sessa, G Cattaneo, A De Santis, P Iannelli, ... Advances in Artificial Life, Evolutionary Computation and Systems Chemistry …, 2016 | 7 | 2016 |
| ENTAIL: yEt aNoTher amyloid fIbrils cLassifier A Auriemma Citarella, L Di Biasi, F De Marco, G Tortora BMC bioinformatics 23 (1), 517, 2022 | 6 | 2022 |
| YAMACS: a graphical interface for GROMACS A Sarkar, J Santoro, L Di Biasi, F Marrafino, S Piotto Bioinformatics 38 (19), 4645-4646, 2022 | 6 | 2022 |
| Hybrid approach for the design of cnns using genetic algorithms for melanoma classification L Di Biasi, F De Marco, A Auriemma Citarella, P Barra, S Piotto Piotto, ... International Conference on Pattern Recognition, 514-528, 2022 | 5 | 2022 |
| A new flexible protocol for docking studies L Sessa, L Di Biasi, S Concilio, G Cattaneo, A De Santis, P Iannelli, ... Advances in Artificial Life, Evolutionary Computation and Systems Chemistry …, 2016 | 5 | 2016 |
| Identification of morphological patterns for the detection of premature ventricular contractions F De Marco, L Di Biasi, AA Citarella, M Tucci, G Tortora 2022 26th International Conference Information Visualisation (IV), 393-398, 2022 | 4 | 2022 |
| Snarer: new molecular descriptors for snare proteins classification A Auriemma Citarella, L Di Biasi, M Risi, G Tortora BMC bioinformatics 23 (1), 148, 2022 | 4 | 2022 |
| Evaluating Epidemiological Risk by Using Open Contact Tracing Data: Correlational Study S Piotto, L Di Biasi, F Marrafino Journal of medical Internet research 23 (8), e28947, 2021 | 4 | 2021 |
| PADD: dynamic distance-graph based on similarity measures for GO terms visualization of Alzheimer and Parkinson diseases A AURIEMMA CITARELLA, F De Marco, L Di Biasi, M Risi, G Tortora JOURNAL OF VISUAL LANGUAGES AND COMPUTING 1, 19-28, 2021 | 3 | 2021 |
| Encoding materials dynamics for machine learning applications S Piotto, AM Nardiello, L Di Biasi, L Sessa Advances in Bionanomaterials II: Selected Papers from the 3rd International …, 2020 | 3 | 2020 |
| Pseudo-semantic approach to study model membranes AM Nardiello, S Piotto, L Di Biasi, L Sessa Advances in Bionanomaterials II: Selected Papers from the 3rd International …, 2020 | 3 | 2020 |
| A machine learning approach for adhesion forecasting of cold-sprayed coatings on polymer-based substrates AS Perna, L Carrino, CA Auriemma, DM Fabiola, DB Luigi, T Genoveffa, ... Materials Research Proceedings 28, 57-64, 2023 | 2 | 2023 |
| Exploration of genetic algorithms and CNN for melanoma classification L Di Biasi, A Auriemma Citarella, F De Marco, M Risi, G Tortora, S Piotto Italian Workshop on Artificial Life and Evolutionary Computation, 135-138, 2021 | 2 | 2021 |
stefano piottoUniversity of Salerno在 unisa.it 的电子邮件经过验证
