Zobrazeno 1 - 10
of 351
pro vyhledávání: '"Ali Etemad"'
Autor:
Gelareh Hajian, Evan Campbell, Mahdi Ansari, Evelyn Morin, Ali Etemad, Kevin Englehart, Erik Scheme
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 391-400 (2024)
In the field of EMG-based force modeling, the ability to generalize models across individuals could play a significant role in its adoption across a range of applications, including assistive devices, robotic and rehabilitation devices. However, curr
Externí odkaz:
https://doaj.org/article/596c3b9dc7064261a46c0023b4d0c1ae
Autor:
Pritam Sarkar, Silvia Lobmaier, Bibiana Fabre, Diego González, Alexander Mueller, Martin G. Frasch, Marta C. Antonelli, Ali Etemad
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract In the pregnant mother and her fetus, chronic prenatal stress results in entrainment of the fetal heartbeat by the maternal heartbeat, quantified by the fetal stress index (FSI). Deep learning (DL) is capable of pattern detection in complex
Externí odkaz:
https://doaj.org/article/a17baa914cc747bb8db00c00347307fc
Publikováno v:
IEEE Transactions on Artificial Intelligence. 4:549-561
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::245f1896ae0e19ce72d5354495a66c85
https://doi.org/10.1109/tai.2022.3178065
https://doi.org/10.1109/tai.2022.3178065
Autor:
Ali Etemad-Rezaie, Tori A. Edmiston, Sean M. Kearns, Philip H. Locker, Daniel D. Bohl, Andrew Sexton, Rachel M. Frank, Brett Levine
Publikováno v:
Reconstructive Review, Vol 10, Iss 1 (2020)
Introduction While total knee arthroplasty (TKA) is a successful treatment for debilitating arthritis, up to 20% of patients may be dissatisfied with their outcome. One hypothesis for dissatisfaction is the distortion of native knee kinematics fol
Externí odkaz:
https://doaj.org/article/9acba198d30e4079a1b9d05639eb227b
Autor:
Amirhossein Hajavi, Ali Etemad
Publikováno v:
IEEE Transactions on Artificial Intelligence. :1-12
Deep audio representation learning using multi-modal audio-visual data often leads to a better performance compared to uni-modal approaches. However, in real-world scenarios both modalities are not always available at the time of inference, leading t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7af61aa3fa9b04d4f50b410a1a622eca
https://doi.org/10.1109/tai.2023.3243596
https://doi.org/10.1109/tai.2023.3243596
PARSE: Pairwise Alignment of Representations in Semi-Supervised EEG Learning for Emotion Recognition
Publikováno v:
IEEE Transactions on Affective Computing. 13:2185-2200
We propose PARSE, a novel semi-supervised architecture for learning strong EEG representations for emotion recognition. To reduce the potential distribution mismatch between the large amounts of unlabeled data and the limited amount of labeled data,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07c6b4d41d32e92929ca657b15913884
https://doi.org/10.1109/taffc.2022.3210441
https://doi.org/10.1109/taffc.2022.3210441
Publikováno v:
IEEE Transactions on Artificial Intelligence. 3:567-580
We aim to investigate the potential impacts of smart homes on human behavior. To this end, we simulate a series of human models capable of performing various activities inside a reinforcement learning-based smart home. We then investigate the possibi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2ac1a51759999f753f91dc5c7bc9696
https://doi.org/10.1109/tai.2021.3127483
https://doi.org/10.1109/tai.2021.3127483
Autor:
Zhaleh Shariati Sarabi, Mehran Ghazi Saeidi, Mandana Khodashahi, Ali Etemad Rezaie, Kamila Hashemzadeh, Rozita Khodashahi, Hossein Heidari
Publikováno v:
Electronic Physician, Vol 8, Iss 8, Pp 2700-2706 (2016)
Background: Rheumatoid arthritis (RA) is a chronic inflammatory joint disorder with unknown etiology. Atorvastatin is a lipid-lowering agent that affects the inflammatory processes. Objective: This study aimed to determine the anti-inflammatory eff
Externí odkaz:
https://doaj.org/article/ba6397c317e441d8b7444c526c51a2d0
Publikováno v:
IEEE Internet of Things Magazine. 5:54-57
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9c3dc9e539eb5586d063740a9edda3a
https://doi.org/10.1109/iotm.002.2200022
https://doi.org/10.1109/iotm.002.2200022
Autor:
Amirhossein Hajavi, Ali Etemad
With the ubiquity of smart devices that use speaker recognition (SR) systems as a means of authenticating individuals and personalizing their services, fairness of SR systems has becomes an important point of focus. In this paper we study the notion
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d62cb449b7770cfa1d2712926ce4bd60
http://arxiv.org/abs/2303.08026
http://arxiv.org/abs/2303.08026
