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Emotion Mining: from Unimodal to Multimodal Approaches 1-gen-2021 Zucco, C.; Calabrese, B.; Cannataro, M.
Evaluating the Impact of Training Loss on MR to Synthetic CT Conversion 1-gen-2020 Sherwani, M. K.; Zaffino, P.; Bruno, P.; Spadea, M. F.; Calimeri, F.
Explainable Boosting Machine for Predicting Alzheimer’s Disease from MRI Hippocampal Subfields 1-gen-2021 Sarica, A.; Quattrone, A.; Quattrone, A.
Machine Learning Approaches in Inflammatory Bowel Disease 1-gen-2022 Scarpino, I.; Vallelunga, R.; Luzza, F.; Cannataro, M.
A New Parallel Methodology for the Network Analysis of COVID-19 Data 1-gen-2021 Agapito, G.; Milano, M.; Cannataro, M.
On Blood Viscosity and Its Correlation with Biological Parameters 1-gen-2018 Vizza, P; Tradigo, G; Parrilla, M; Guzzi, Ph; Gnasso, A; Veltri, P
On the Usefulness of Pre-Processing Step in Melanoma Detection Using Multiple Instance Learning 1-gen-2019 Vocaturo, E.; Zumpano, E.; Veltri, P.
Parallel Learning of Weighted Association Rules in Human Phenotype Ontology 1-gen-2020 Agapito, G.; Cannataro, M.; Guzzi, P. H.; Milano, M.
A Parallel Software Platform for Pathway Enrichment 1-gen-2020 Agapito, G.; Cannataro, M.
Resting-State EEG Classification for PNES Diagnosis 1-gen-2022 Zucco, C.; Calabrese, B.; Mancuso, R.; Sturniolo, M.; Gambardella, A.; Cannataro, M.
A Software Pipeline Based on Sentiment Analysis to Analyze Narrative Medicine Texts 1-gen-2021 Scarpino, I.; Zucco, C.; Cannataro, M.
Using BioPAX-Parser (BiP) to Annotate Lists of Biological Entities with Pathway Data 1-gen-2020 Agapito, G.; Cannataro, M.
Using CNNs for Designing and Implementing an Automatic Vascular Segmentation Method of Biomedical Images 1-gen-2018 Bruno, P.; Zaffino, P.; Scaramuzzino, S.; De Rosa, S.; Indolfi, C.; Calimeri, F.; Spadea, M. F.
Mostrati risultati da 4 a 16 di 16
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