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Participatory Design in Digital Language Documentation: A Web Platform Approach
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An Ontology based Smart Management of Linguistic Knowledge
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In: EISSN: 2416-5999 ; Journal of Data Mining and Digital Humanities ; https://hal.archives-ouvertes.fr/hal-03618012 ; Journal of Data Mining and Digital Humanities, Episciences.org, In press (2022)
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A USER-CENTERED APPROACH TO THE DEVELOPMENT OF AN ELEARNING PROGRAM FOR CLASSROOM TEACHERS OF STUDENTS WITH DISRUPTIVE CLASSROOM BEHAVIOUR
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Eine agentenbasierte Architektur für Programmierung mit gesprochener Sprache ...
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Improving active listening behaviours of embodied conversational agents (ECA) from a UX perspective
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| 6 |
Comparing the Effectiveness of Speech and Physiological Features in Explaining Emotional Responses during Voice User Interface Interactions
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In: Applied Sciences; Volume 12; Issue 3; Pages: 1269 (2022)
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| 7 |
How Do Older Adults Process Icons in Visual Search Tasks? The Combined Effects of Icon Type and Cognitive Aging
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In: International Journal of Environmental Research and Public Health; Volume 19; Issue 8; Pages: 4525 (2022)
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Using Machine Learning for Pharmacovigilance: A Systematic Review
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In: Pharmaceutics; Volume 14; Issue 2; Pages: 266 (2022)
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| 9 |
Num-Symbolic Homophonic Social Net-Words
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In: Information; Volume 13; Issue 4; Pages: 174 (2022)
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| 10 |
Translation Alignment with Ugarit
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In: Information; Volume 13; Issue 2; Pages: 65 (2022)
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THE EFFECTIVENESS OF APPLYING DIFFERENT STRATEGIES ON RECOGNITION AND RECALL TEXTUAL PASSWORD ...
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| 12 |
THE EFFECTIVENESS OF APPLYING DIFFERENT STRATEGIES ON RECOGNITION AND RECALL TEXTUAL PASSWORD ...
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| 13 |
Towards Portuguese Sign Language Identification Using Deep Learning
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Abstract:
In Portugal there are above 80,000 people with hearing impairment with the need to communicate through the sign language. Equal opportunities and social inclusion are the major concerns of the current society. It is aim of this research to create and evaluate a Deep Learning model that using a dataset with images of characters in Portuguese sign language can identify the gesture of a user, recognizing it. For model training, 5826 representative samples of the characters ‘C’, ‘I’, ‘L’, ‘U’ and ‘Y’ in Portuguese sign language. The Deep Learning model is based on a convolutional neural network. The model evaluated using the sample allowed for an accuracy of 98.5%, which is considered as a satisfactory result. However, there are two gaps: the existence of datasets with the totality of the alphabet in the Portuguese sign language and with the various representations of movement that each word has at the layout of letters. Using the proposed model with more complete datasets would allow to develop more inclusive user interfaces and equal opportunities for users with auditory difficulties. ; info:eu-repo/semantics/publishedVersion
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Keyword:
Deep learning; Inclusion user interfaces; Portuguese sign language
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URL: https://doi.org/10.1007/978-3-030-90241-4_6
http://hdl.handle.net/10400.26/38582
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| 14 |
Dicionários de aprendizes : uma abordagem interdisciplinar para o seu aperfeiçoamento
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| 15 |
Dependency Syntax in the Automatic Detection of Irony and Stance ; Sintaxis de dependencias en la detección automática de ironía y posicionamiento
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Eine agentenbasierte Architektur für Programmierung mit gesprochener Sprache
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| 17 |
Η επίδραση των κοινωνικών μέσων δικτύωσης στον σχεδιασμό ενός ταξιδιού: Ταξιδιωτική πρόθεση και αντίληψη κινδύνου κατά τη διάρκεια της πανδημίας
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| 18 |
Why Don't You Act Your Age?: Recognizing the Stereotypical 8-12 Year Old Searcher by Their Search Behavior
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In: Boise State University Theses and Dissertations (2021)
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| 19 |
Developing Messaging Content for a Physical Activity Smartphone App Tailored to Low-Income Patients: User-Centered Design and Crowdsourcing Approach.
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In: JMIR mHealth and uHealth, vol 9, iss 5 (2021)
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Contextualization of Web contents through semantic enrichment from linked open data ; Contextualisation des contenus Web par l'enrichissement sémantique à partir de données
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In: https://tel.archives-ouvertes.fr/tel-03561788 ; Databases [cs.DB]. Normandie Université, 2021. English. ⟨NNT : 2021NORMC243⟩ (2021)
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