Zobrazeno 1 - 10
of 285
pro vyhledávání: '"Le, Bac"'
Medication recommendation is a vital task for improving patient care and reducing adverse events. However, existing methods often fail to capture the complex and dynamic relationships among patient medical records, drug efficacy and safety, and drug-
Externí odkaz:
http://arxiv.org/abs/2312.08377
Autor:
Nguyen, Toan, Vu, Minh Nhat, Huang, Baoru, Van Vo, Tuan, Truong, Vy, Le, Ngan, Vo, Thieu, Le, Bac, Nguyen, Anh
Affordance detection and pose estimation are of great importance in many robotic applications. Their combination helps the robot gain an enhanced manipulation capability, in which the generated pose can facilitate the corresponding affordance task. P
Externí odkaz:
http://arxiv.org/abs/2309.10911
Despite significant progress over the past few years, ambiguity is still a key challenge in Facial Expression Recognition (FER). It can lead to noisy and inconsistent annotation, which hinders the performance of deep learning models in real-world sce
Externí odkaz:
http://arxiv.org/abs/2209.10448
Autor:
Doan, Toan, Le, Bac
Publikováno v:
In Knowledge-Based Systems 9 October 2024 301
Publikováno v:
In Knowledge-Based Systems 27 September 2024 300
Publikováno v:
In Expert Systems With Applications 15 September 2024 250
Human emotion recognition is an active research area in artificial intelligence and has made substantial progress over the past few years. Many recent works mainly focus on facial regions to infer human affection, while the surrounding context inform
Externí odkaz:
http://arxiv.org/abs/2111.04129
Autor:
Ho Thi Thanh, Tuyen, Le, Bac
Publikováno v:
In Engineering Applications of Artificial Intelligence December 2024 138 Part A
Because of increased urban complexity and growing populations, more and more challenges about predicting city-wide mobility behavior are being organized. Traffic Map Movie Forecasting Challenge 2020 is secondly held in the competition track of the Th
Externí odkaz:
http://arxiv.org/abs/2109.13021
Domain adaptation is a potential method to train a powerful deep neural network, which can handle the absence of labeled data. More precisely, domain adaptation solving the limitation called dataset bias or domain shift when the training dataset and
Externí odkaz:
http://arxiv.org/abs/2109.13016