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1
Emotional Speech Recognition Method Based on Word Transcription
In: Sensors; Volume 22; Issue 5; Pages: 1937 (2022)
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2
A Video-Based Reflective Design to Prepare First Year Pharmacy Students for Their First Objective Structured Clinical Examination (OSCE)
In: Healthcare; Volume 10; Issue 2; Pages: 280 (2022)
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3
Factors Influencing Students’ Intention to Use E-Textbooks and Their Impact on Academic Achievement in Bilingual Environment: An Empirical Study Jordan
In: Information; Volume 13; Issue 5; Pages: 233 (2022)
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4
Students’ and Examiners’ Experiences of Their First Virtual Pharmacy Objective Structured Clinical Examination (OSCE) in Australia during the COVID-19 Pandemic
In: Healthcare; Volume 10; Issue 2; Pages: 328 (2022)
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5
A pedagogia translíngue e a elaboração de tarefas na formação integral do educando brasileiro ; Translanguaging pedagogy and task design in the Brazilian student's integral education
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6
Percepción de las familias sobre el desempeño escolar durante el confinamiento por COVID-19
In: Comunicar: Revista científica iberoamericana de comunicación y educación, ISSN 1134-3478, Nº 70, 2022 (Ejemplar dedicado a: Nuevos retos del profesorado ante la enseñanza digital), pags. 59-68 (2022)
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7
DEFT 2021: Évaluation automatique de réponses courtes, une approche basée sur la sélection de traits lexicaux et augmentation de données
In: Actes de la 28e Conférence sur le Traitement Automatique des Langues Naturelles. Atelier DÉfi Fouille de Textes (DEFT) ; Traitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-03265925 ; Traitement Automatique des Langues Naturelles, 2021, Lille, France. pp.31-40 (2021)
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8
Online And Face To Face Teaching: two complementary educational intervention modes ; L'enseignement du FLE en face à face et en ligne : deux modes d'intervention pédagogiques complémentaires
In: ISSN: 2773-286X ; Didaskein ; https://hal.archives-ouvertes.fr/hal-03429054 ; Didaskein, 2021, 2 (1), pp.28-47 (2021)
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9
Projet Voltaire et Orthodidacte : quels modèles didactiques pour quels objectifs ?
In: Enseigner et apprendre l’orthographe à l’heure du numérique ; https://hal.archives-ouvertes.fr/hal-03615866 ; Enseigner et apprendre l’orthographe à l’heure du numérique, Université Paris-Est, Oct 2021, Créteil, France ; https://colloque-tao.sciencesconf.org/resource/page/id/14 (2021)
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10
Lingua italiana a studenti universitari in mobilità internazionale durante la pandemia: una prima valutazione dell’esperienza di insegnamento a distanza ...
Pontis, Annalisa. - : Studi di glottodidattica, 2021
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11
Creating a multilingual MOOC content for information literacy: a workflow
In: Botte, Alexander [Hrsg.]; Libbrecht, Paul [Hrsg.]; Rittberger, Marc [Hrsg.]: Learning Information Literacy across the Globe. Frankfurt am Main, May 10th 2019. Frankfurt am Main : DIPF 2021, S. 114-128 (2021)
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12
Mooc in Portuguese Language Teaching ; A Research Project Portugal-Brazil
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13
SpeakEasy Pronunciation Trainer: Personalized Multimodal Pronunciation Training ...
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14
SpeakEasy Pronunciation Trainer: Personalized Multimodal Pronunciation Training ...
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15
Using Machine Teaching to Investigate Human Assumptions when Teaching Reinforcement Learners ...
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16
Chimpanzees utilize video information when facing its referent later in another room ...
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17
Chimpanzees utilize video information when facing its referent later in another room ...
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18
Recovering Quantitative Models of Human Information Processing with Differentiable Architecture Search ...
Abstract: The integration of behavioral phenomena into mechanistic models of cognitive function is a fundamental staple of cognitive science. Yet, researchers are beginning to accumulate increasing amounts of data without having the temporal or monetary resources to integrate these data into scientific theories. We seek to overcome these limitations by incorporating existing machine learning techniques into an open-source pipeline for the automated construction of quantitative models. This pipeline leverages the use of neural architecture search to automate the discovery of interpretable model architectures, and automatic differentiation to automate the fitting of model parameters to data. We evaluate the utility of these methods based on their ability to recover quantitative models of human information processing from synthetic data. We find that these methods are capable of recovering basic quantitative motifs from models of psychophysics, learning and decision making. We also highlight weaknesses of this framework ...
Keyword: Cognitive Linguistics; Cognitive Science; Computational Intelligence; Computational Linguistics; E-Learning; Semantics
URL: https://underline.io/lecture/26953-recovering-quantitative-models-of-human-information-processing-with-differentiable-architecture-search
https://dx.doi.org/10.48448/97wf-s976
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19
Towards higher sense of presence: a 3D virtual environment adaptable to confusion and engagement
Silva Pedro, T.; Silva, J. L.. - : IEEE, 2021
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20
Creating a multilingual MOOC content for information literacy: a workflow ...
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