Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Mei Kuan, Lim"'
Publikováno v:
Sensors, Vol 24, Iss 2, p 348 (2024)
As mental health (MH) disorders become increasingly prevalent, their multifaceted symptoms and comorbidities with other conditions introduce complexity to diagnosis, posing a risk of underdiagnosis. While machine learning (ML) has been explored to mi
Externí odkaz:
https://doaj.org/article/0ddc5a215a6945cba0b782999e19efd8
Publikováno v:
Neurocomputing. 513:351-371
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::654c6fde4d60499ae463a5ad17045b93
https://doi.org/10.1016/j.neucom.2022.09.135
https://doi.org/10.1016/j.neucom.2022.09.135
Autor:
Lin Sze Khoo, Jia Qi Bay, Ming Lee Kimberly Yap, Mei Kuan Lim, Chun Yong Chong, Zhou Yang, David Lo
Publikováno v:
2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10ed4fd86ce6d159e74a03f3db695af8
https://doi.org/10.1109/saner56733.2023.00066
https://doi.org/10.1109/saner56733.2023.00066
Publikováno v:
Proceedings of the 6th International Workshop on Machine Learning Techniques for Software Quality Evaluation.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b16a2ef1b013dadb9b289286e5127575
https://doi.org/10.1145/3549034.3561177
https://doi.org/10.1145/3549034.3561177
Publikováno v:
Robotica; Jun2023, Vol. 41 Issue 6, p1673-1688, 16p
Fairness of deepfake detectors in the presence of anomalies are not well investigated, especially if those anomalies are more prominent in either male or female subjects. The primary motivation for this work is to evaluate how deepfake detection mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::928c967a35b9d9cba8bf9bbf47fc1bc6
Publikováno v:
MET@ICSE
Synthesising photo-realistic images from natural language is one of the challenging problems in computer vision. Over the past decade, a number of approaches have been proposed, of which the improved Stacked Generative Adversarial Network (StackGAN-v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::482999ef3b11f7b6d9e2ed8654657141
https://doi.org/10.1109/met52542.2021.00008
https://doi.org/10.1109/met52542.2021.00008
Publikováno v:
MVA
Estimation errors caused by perspective distortions are a long-standing problem in the domain of crowd counting. In this paper, we propose a novel loss function to allow filters in convolutional neural networks to learn features that are adaptive to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8757182422a9f876f22358a88c271bfe
https://doi.org/10.23919/mva.2019.8758034
https://doi.org/10.23919/mva.2019.8758034
Publikováno v:
Neurocomputing. 177:342-362
Although the traits emerged in a mass gathering are often non-deliberative, the act of mass impulse may lead to irre- vocable crowd disasters. The two-fold increase of carnage in crowd since the past two decades has spurred significant advances in th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3127c5f6d364368954126d35904eab9
https://doi.org/10.1016/j.neucom.2015.11.021
https://doi.org/10.1016/j.neucom.2015.11.021
Publikováno v:
Information Sciences. 283:267-287
Conventional tracking solutions are not feasible in handling abrupt motion as they are based on smooth motion assumption or an accurate motion model. Abrupt motion is not subject to motion continuity and smoothness. To assuage this, we deem tracking
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d7582bae50cfdbb113cb783854a7f3a
https://doi.org/10.1016/j.ins.2014.01.003
https://doi.org/10.1016/j.ins.2014.01.003