1 10 4 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Manoscrittura e Intelligenza Artificiale Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Handwriting Declines With Human Aging: A Machine Learning Study Description An account of the resource Articolo scientifico peer-reviewed pubblicato nella rivista open access Frontiers in Aging Neuroscience (Frontiers, 2022). Lo studio analizza i cambiamenti della scrittura a mano associati all’invecchiamento attraverso algoritmi di machine learning e reti neurali convoluzionali (CNN), evidenziando variazioni grafomotorie progressive rilevabili tramite analisi automatizzata della grafia. Relation A related resource consultabile online<br /><a href="https://www.frontiersin.org/journals/aging-neuroscience/articles/10.3389/fnagi.2022.889930/full">Link</a> Creator An entity primarily responsible for making the resource Francesco Asci; Simone Scardapane; Alessandro Zampogna; et al. Publisher An entity responsible for making the resource available Frontiers Media SA Date A point or period of time associated with an event in the lifecycle of the resource 2022 manoscrittura e AI manoscrittura e invecchiamento manoscrittura e machine learning manoscrittura e neuroscienze Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Manoscrittura e Intelligenza Artificiale Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Identifying the Personality Traits Using Handwriting Recognition in a Deep Learning Approach Description An account of the resource Articolo pubblicato sull’International Journal of Intelligent Engineering and Systems che presenta un modello basato su reti neurali convoluzionali (CNN) per l’analisi automatizzata della scrittura a mano finalizzata all’identificazione dei tratti della personalità. Il sistema integra fasi di preprocessing delle immagini, estrazione delle caratteristiche e classificazione tramite deep learning, con l’obiettivo di ridurre l’intervento umano nei processi di analisi grafica. Lo studio si colloca nell’ambito della ricerca sull’applicazione dell’intelligenza artificiale alla manoscrittura. Creator An entity primarily responsible for making the resource Shalaka Deore Pranjal Kalokhe Sneha Patil Sayali Nagarkar Vidhi Oswal Source A related resource from which the described resource is derived International Journal of Intelligent Engineering and Systems (IJIES) Publisher An entity responsible for making the resource available IIETA – International Institute of Engineering and Technology Advancement Date A point or period of time associated with an event in the lifecycle of the resource 2025 Type The nature or genre of the resource Journal Article – Open Access Grafologia e AI manoscrittura e AI Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Manoscrittura e Intelligenza Artificiale Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Detection of Personality Traits Using Handwriting and Deep Learning Description An account of the resource Articolo internazionale pubblicato sulla rivista Applied Sciences che propone un sistema basato su reti neurali convoluzionali (CNN) per l’estrazione automatica di caratteristiche dalla scrittura a mano e la successiva correlazione con indicatori di personalità (Myers–Briggs Type Indicator). Lo studio si colloca nell’ambito dell’intelligenza artificiale applicata all’analisi della manoscrittura, presentando un modello di classificazione automatica fondato su tecniche di deep learning. I risultati sperimentali evidenziano la possibilità di integrare metodi computazionali nell’analisi dei tratti grafici, aprendo prospettive di ricerca nell’intersezione tra manoscrittura, psicometria e sistemi intelligenti. Creator An entity primarily responsible for making the resource Daniel Gagiu Dorin Sendrescu Source A related resource from which the described resource is derived Applied Sciences (peer-reviewed scientific journal) Publisher An entity responsible for making the resource available MDPI AG (Basel, Switzerland) Date A point or period of time associated with an event in the lifecycle of the resource 2025 Relation A related resource <a href="https://www.mdpi.com/2076-3417/15/4/2154?utm_source=chatgpt.com">DOI</a><br />ResearchGate preview<br /><a href="https://www.researchgate.net/publication/389116669_Detection_of_Personality_Traits_Using_Handwriting_and_Deep_Learning?utm_source=chatgpt.com">Link</a> Type The nature or genre of the resource Research Article – Open Access Journal Article Graphology + machine learning Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Manoscrittura e Intelligenza Artificiale Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Personality Traits Identification Through Handwriting Analysis Description An account of the resource Contributo presentato alla 4th Mediterranean Conference on Pattern Recognition and Artificial Intelligence (MedPRAI 2020). Lo studio propone un approccio computazionale all’analisi della scrittura a mano, combinando tecniche di estrazione delle caratteristiche grafiche e reti neurali artificiali per l’identificazione automatica dei tratti della personalità. Il lavoro si colloca nell’ambito dell’intelligenza artificiale applicata alla scrittura, offrendo una prospettiva quantitativa distinta dalla grafologia interpretativa tradizionale. Creator An entity primarily responsible for making the resource Tahar Mekhaznia Chawki Djeddi Sobhan Sarkar Source A related resource from which the described resource is derived Pattern Recognition and Artificial Intelligence: 4th Mediterranean Conference on Pattern Recognition and Artificial Intelligence (MedPRAI 2020), Proceedings (Atti della conferenza MedPRAI 2020, Hammamet, Tunisia, 20–22 dicembre 2020) Publisher An entity responsible for making the resource available Springer International Publishing Date A point or period of time associated with an event in the lifecycle of the resource 2021 Relation A related resource <a href="https://doi.org/10.1007/978-3-030-71804-6_12">DOI</a><br />Accesso tramite ResearchGate<br /><a href="https://www.researchgate.net/publication/350126811_Personality_Traits_Identification_Through_Handwriting_Analysis">Link</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Hammamet (Tunisia) AI applicata alla scrittura Artificial intelligence Neural networks Scrittura e intelligenza artificiale