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Stefano Lucidi

Showing results (1-10 of 5) with videos related to

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IEEE Transactions on Neural Networks|May 14, 2009
A convergent hybrid decomposition algorithm model for SVM trainingStefano Lucidi, Laura Palagi, Arnaldo Risi, et al.
Brain Sciences|June 28, 2023
Machine Learning-Based Classification to Disentangle EEG Responses to TMS and Auditory InputAndrea Cristofari, Marianna De Santis, Stefano Lucidi, et al.
Genes|November 27, 2021
MOSES: A New Approach to Integrate Interactome Topology and Functional Features for Disease Gene PredictionManuela Petti, Lorenzo Farina, Federico Francone, et al.
Bioinformatics (Oxford, England)|November 21, 2013
Combining optimization and machine learning techniques for genome-wide prediction of human cell cycle-regulated genesMarianna De Santis, Francesco Rinaldi, Emmanuela Falcone, et al.
Gastric Cancer : Official Journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association|October 22, 2025
Exploring the potential of artificial intelligence in assessing the risk of gastric neoplastic lesions in patients with corpus atrophic gastritisEmanuele Dilaghi, Edoardo Cesaroni, Irene Ligato, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Neural Networks|May 14, 2009
A convergent hybrid decomposition algorithm model for SVM trainingStefano Lucidi, Laura Palagi, Arnaldo Risi, et al.
Brain Sciences|June 28, 2023
Machine Learning-Based Classification to Disentangle EEG Responses to TMS and Auditory InputAndrea Cristofari, Marianna De Santis, Stefano Lucidi, et al.
Genes|November 27, 2021
MOSES: A New Approach to Integrate Interactome Topology and Functional Features for Disease Gene PredictionManuela Petti, Lorenzo Farina, Federico Francone, et al.
Bioinformatics (Oxford, England)|November 21, 2013
Combining optimization and machine learning techniques for genome-wide prediction of human cell cycle-regulated genesMarianna De Santis, Francesco Rinaldi, Emmanuela Falcone, et al.
Gastric Cancer : Official Journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association|October 22, 2025
Exploring the potential of artificial intelligence in assessing the risk of gastric neoplastic lesions in patients with corpus atrophic gastritisEmanuele Dilaghi, Edoardo Cesaroni, Irene Ligato, et al.
Pageof 1