Zobrazeno 1 - 10 of 74 pro vyhledávání: '"Hortal, Enrique"'
1
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Exploring Self-Supervised Multi-view Contrastive Learning for Speech Emotion Recognition with Limited Annotations
Autor: Khaertdinov, Bulat, Jeuris, Pedro, Sousa, Annanda, Hortal, Enrique
Recent advancements in Deep and Self-Supervised Learning (SSL) have led to substantial improvements in Speech Emotion Recognition (SER) performance, reaching unprecedented levels. However, obtaining sufficient amounts of accurately labeled data for t
Externí odkaz: http://arxiv.org/abs/2406.07900
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3
Report
GANtron: Emotional Speech Synthesis with Generative Adversarial Networks
Autor: Hortal, Enrique, Alarcia, Rodrigo Brechard
Speech synthesis is used in a wide variety of industries. Nonetheless, it always sounds flat or robotic. The state of the art methods that allow for prosody control are very cumbersome to use and do not allow easy tuning. To tackle some of these draw
Externí odkaz: http://arxiv.org/abs/2110.03390
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5
COVID-19 Diagnosis in 3D Chest CT Scans with Attention-Based Models
Autor: Hartmann, Kathrin, Hortal, Enrique, Juarez, J.M., Marcos, M., Stiglic, G., Tucker, A.
Publikováno v: Artificial Intelligence in Medicine: AIME 2023, 13897, 229-238
The three-dimensional information in CT scans reveals notorious findings in the medical context, also for detecting symptoms of COVID-19 in chest CT scans. However, due to the lack of availability of large-scale datasets in 3D, the use of attention-b
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::7ebd12dfe24b23db295f5c7d23010bd7
https://cris.maastrichtuniversity.nl/en/publications/79aef22d-2a39-42f0-a52b-ab35cc298d32
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6
Akademický článek
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8
Akademický článek
Control of a 2 DoF robot using a Brain–Machine Interface
Autor: Hortal, Enrique, Úbeda, Andrés, Iáñez, Eduardo, Azorín, José M.
Publikováno v: In Computer Methods and Programs in Biomedicine September 2014 116(2):169-176
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9
e3Learning: A Dataset for Affect-Driven Adaptation of Computer-Based Learning
Autor: Athanasiadis, Christos, Amestoy, Matteo, Hortal, Enrique, Asteriadis, Stelios
Publikováno v: Ieee Multimedia, 27(1), 49-60. IEEE Computer Society
The use of recommendation systems has been extensively applied to different fields from the suggestion of multimedia content to other areas such as education. Thereof, the integration of affect-related information becomes a key factor to enhance the
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::f785562cdbbab6c924ac29179195fb7b
https://cris.maastrichtuniversity.nl/en/publications/6f9e3854-7c3d-493a-9a94-7264659307da
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10
Adaptive Learning Based on Affect Sensing
Autor: Tsatsou, Dorothea, Pomazanskyi, Andrew, Hortal, Enrique, Spyrou, Evaggelos, Leligou, Helen C, Asteriadis, Stylianos, Vretos, Nicholas, Daras, Petros, Penstein, Rosé C.
Publikováno v: Artificial Intelligence in Education. AIED 2018, 475-479
STARTPAGE=475;ENDPAGE=479;TITLE=Artificial Intelligence in Education. AIED 2018
Lecture Notes in Computer Science ISBN: 9783319938455
AIED (2)
This paper introduces an end-to-end solution for dynamic adaptation of the learning experience for learners of different personal needs, based on their behavioural and affective reaction to the learning activities. Personal needs refer to what learne
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d2897d12dd8bccd8787ffd17af13feb
https://doi.org/10.1007/978-3-319-93846-2_89
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