CNR Institutional Research Information System

CALIGIORE, DANIELE

CALIGIORE, DANIELE  

Istituto di Scienze e Tecnologie della Cognizione - ISTC  

Mostra records
Risultati 1 - 20 di 80 (tempo di esecuzione: 0.041 secondi).
Titolo Data di pubblicazione Autore(i) File
Advanced perspectives for the diagnosis of Parkinson’s and Alzheimer's disease through machine learning techniques 1-gen-2024 Malvaso, Antonio; Panarese, Silvia; Catalano, Mario; Migliore, Michele; Caligiore, Daniele
Advanced perspectives for the diagnosis of Parkinson’s and Alzheimer's disease through machine learning techniques. 1-gen-2024 Malvaso, Antonio; Panarese, Silvia; Catalano, Mario; Migliore, Michele; Caligiore, Daniele
Curarsi con l'Intelligenza Artificiale 1-gen-2024 Caligiore, Daniele
Disentangling Blink Reflexes in Multiple Sclerosis through explainable artificial intelligence systems 1-gen-2024 Biggio, M.; Merone, M.; Caligiore, D.
Simulating combined monoaminergic depletions in a PD animal model through a bio-constrained differential equations system 1-gen-2024 Carli, Samuele; Brignano, Luigi; Caligiore, Daniele
Unraveling sex differences in Parkinson's disease through explainable machine learning 1-gen-2024 Angelini, Gianfrancesco; Malvaso, Antonio; Schirripa, Aurelia; Campione, Francesca; D'Addario, Sebastian Luca; Toschi, Nicola; Caligiore, Daniele
Creatività umana e intelligenza artificiale generativa: similarità, differenze e prospettive 1-gen-2023 Campione, F; Catena, E; Schirripa, A; Caligiore, Daniele; D,
Explainable machine learning to predict and differentiate Alzheimer's progression by gender 1-gen-2023 D'Amore; F M; Mirino P; D'Antonio F; Malvaso A; D'Addario; S L Catalano M; Rodini M; Panigutti M; Carlesimo; G A; Guariglia C; Caligiore; D
Non-invasive brain stimulation for patients and healthy subjects: Current challenges and future perspectives 1-gen-2023 Mattioli F; Maglianella V; D'Antonio S; Trimarco E;Caligiore; D
A multi-expert ensemble system for predicting Alzheimer transition using clinical features 1-gen-2022 Merone, Mario; D'Addario Sebastian, Luca; Mirino, Pierandrea; Bertino, Francesca; Guariglia, Cecilia; Ventura, Rossella; Capirchio, Adriano; Baldassarre, Gianluca; Silvetti, Massimo; Caligiore, Daniele
Emotions Modulate Affordances-Related Motor Responses: A Priming Experiment 1-gen-2022 Giocondo F; Borghi; A M; Baldassarre G;Caligiore; D
IA istruzioni per l'uso 1-gen-2022 Caligiore; Daniele
Machine Learning analysis of high-grade serous ovarian cancer proteomic dataset reveals novel candidate biomarkers 1-gen-2022 Farinella F.; Merone M.; Bacco L.; Capirchio A.; Ciccozzi M.; Caligiore D.
Machine learning for exploring neurophysiological functionality in multiple sclerosis based on trigeminal and hand blink reflexes 1-gen-2022 Biggio, Monica; Caligiore, Daniele; D'Antoni, Federico; Bove, Marco; Merone, Mario
The Neurodegenerative Elderly Syndrome (NES) hypothesis: Alzheimer and Parkinson are two faces of the same disease 1-gen-2022 Caligiore, Daniele; Giocondo, Flora; Silvetti, Massimo
Cortico-Cerebellar Hyper-Connections and Reduced Purkinje Cells Behind Abnormal Eyeblink Conditioning in a Computational Model of Autism Spectrum Disorder 1-gen-2021 Trimarco, Emiliano; Mirino, Pierandrea; Caligiore, Daniele
How the cerebellum and prefrontal cortex cooperate during associative learning 1-gen-2021 Caligiore, Daniele; Caligiore, Daniele; Mirino, Pierandrea
Increasing Serotonin to Reduce Parkinsonian Tremor 1-gen-2021 Caligiore D.; Montedori F.; Buscaglione S.; Capirchio A.
Motor inhibition to dangerous objects: Electrophysiological evidence for task-dependent aversive affordances 1-gen-2021 Mustile, ; M Giocondo, F; Caligiore, D; Borghi, ; A, M; Kourtis, ; D,
Atypical cerebellar processing on delay eyeblink conditioning in Autism Spectrum Disorder: a computational hypothesis 1-gen-2020 Mirino, Pierandrea; Trimarco, Emiliano; Caligiore, Daniele