Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Pablo Arnau-Gonzalez"'
Publikováno v:
IEEE Access, Vol 11, Pp 77585-77595 (2023)
Facial action detection and facial expression recognition are two closely intertwined problems in behavior analysis. This paper presents evidence that model architectures designed for facial expression recognition can be seamlessly adapted for the ac
Externí odkaz:
https://doaj.org/article/3db5ec89ae6f4e5cbe47e2b72805a5ca
Autor:
Pablo Arnau-Gonzalez, Ana Serrano-Mamolar, Stamos Katsigiannis, Turke Althobaiti, Miguel Arevalillo-Herraez
Publikováno v:
IEEE Access, Vol 11, Pp 67030-67039 (2023)
Math Word Problem (MWP) solving, which involves solving math problems in natural language, is a prevalent approach employed by Intelligent Tutoring Systems (ITS) for teaching mathematics. However, one major drawback of ITS is the complexity of encodi
Externí odkaz:
https://doaj.org/article/3a9232bdb466464b8bcb958df0ee57d7
Publikováno v:
IEEE Access, Vol 10, Pp 107477-107487 (2022)
The Rasa open-source toolkit provides a valuable Natural Language Understanding (NLU) infrastructure to assist the development of conversational agents. In this paper, we show that this infrastructure can seamlessly and effectively be used for other
Externí odkaz:
https://doaj.org/article/8cff50fc84a64605b07a595943e63911
Publikováno v:
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::858d0c360adff57988ac1c4ba23bb9b9
https://doi.org/10.1109/smc53654.2022.9945524
https://doi.org/10.1109/smc53654.2022.9945524
Publikováno v:
IEEE Transactions on Affective Computing. 12:391-401
Biometric signals have been extensively used for user identification and authentication due to their inherent characteristics that are unique to each person. The variation exhibited between the brain signals (EEG) of different people makes such signa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4322a1db06b6ba64079a5247ddb6950b
https://doi.org/10.1109/taffc.2018.2877986
https://doi.org/10.1109/taffc.2018.2877986
Publikováno v:
IEEE Internet of things journal, 2021, Vol.8(15), pp.12219-12230 [Peer Reviewed Journal]
Various recent research works have focused on the use of electroencephalography (EEG) signals in the field of biometrics. However, advances in this area have somehow been limited by the absence of a common testbed that would make it possible to easil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0248bd2519fdc9adb7845068c9fdb12a
https://doi.org/10.1109/JIOT.2021.3061727
https://doi.org/10.1109/JIOT.2021.3061727
Publikováno v:
BHI
2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), Online, 27-30 July 2021 [Conference proceedings]
2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), Online, 27-30 July 2021 [Conference proceedings]
Electroencephalography (EEG) signals have been recently proposed as a biometrics modality due to some inherent advantages over traditional biometric approaches. In this work, we studied the performance of individual EEG channels for the task of subje
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34a32a2f7cdbee39a519cb941ce5840a
https://doi.org/10.1109/bhi50953.2021.9508581
https://doi.org/10.1109/bhi50953.2021.9508581
Publikováno v:
AI for Emerging Verticals: Human-robot computing, sensing and networking ISBN: 9781785619823
Shakir, Muhammad Zeeshan & Ramzan, Naeem (Eds.). AI for Emerging Verticals; Human-robot computing, sensing and networking. : IET
Shakir, Muhammad Zeeshan & Ramzan, Naeem (Eds.). AI for Emerging Verticals; Human-robot computing, sensing and networking. : IET
This chapter discusses the effects of template ageing in EEG-based biometrics. The chapter also serves as an introduction to general biometrics and its main tasks: Identification and verification. To do so, we investigate different characterisations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51dae20ec5537f2926053ac43d02038c
https://doi.org/10.1049/pbpc034e_ch11
https://doi.org/10.1049/pbpc034e_ch11
Publikováno v:
Shakir, Muhammad Zeeshan & Ramzan, Naeem (Eds.). AI for emerging verticals; human-robot computing, sensing and networking. : IET
AI for Emerging Verticals: Human-robot computing, sensing and networking ISBN: 9781785619823
AI for Emerging Verticals: Human-robot computing, sensing and networking ISBN: 9781785619823
This chapter provides an introduction on the benefits of artificial intelligence (Al) techniques for the field of affective computing, through a case study about emotion recognition via brain (electroencephalography EEG) signals. Readers are first pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b93ebeab9a6679c432cb2feeb559a20d
http://dro.dur.ac.uk/32351/1/32351.pdf
http://dro.dur.ac.uk/32351/1/32351.pdf
Publikováno v:
ICIP
Electroencephalography (EEG) signals provide a representation of the brain’s activity patterns and have been recently exploited for user identification and authentication due to their uniqueness and their robustness to interception and artificial r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76d6930996b0e3c5c2e76a5f272d7cd6
https://doi.org/10.1109/icip.2019.8803315
https://doi.org/10.1109/icip.2019.8803315