Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Thanh-Nam Doan"'
Publikováno v:
IEEE Access, Vol 8, Pp 171058-171077 (2020)
Reinforcement Learning (RL) systems achieved outstanding performance in different domains such as Atari games, finance, healthcare, and self-driving cars. However, their black-box nature complicates their use, especially in critical applications such
Externí odkaz:
https://doaj.org/article/73f8cba0486c42e8948e7bc210e3dcf6
Autor:
Hoang H. Nguyen, Nhat-Minh Nguyen, Chunyao Xie, Zahra Ahmadi, Daniel Kudendo, Thanh-Nam Doan, Lingxiao Jiang
Publikováno v:
2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)
Learning heterogeneous graphs consisting of different types of nodes and edges enhances the results of homogeneous graph techniques. An interesting example of such graphs is control-flow graphs representing possible software code execution flows. As
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3d51bfcb9fb99863a4505833de1fd9d
http://arxiv.org/abs/2208.13252
http://arxiv.org/abs/2208.13252
Publikováno v:
IEEE Access, Vol 8, Pp 171058-171077 (2020)
Reinforcement Learning (RL) systems achieved outstanding performance in different domains such as Atari games, finance, healthcare, and self-driving cars. However, their black-box nature complicates their use, especially in critical applications such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b48a30a42b883f8bbc768f9171080a0f
https://doi.org/10.1109/access.2020.3023394
https://doi.org/10.1109/access.2020.3023394
Publikováno v:
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd57c2697b1be6672b9eca1f98952471
TSLib: A Unified Traffic Signal Control Framework Using Deep Reinforcement Learning and Benchmarking
Publikováno v:
2021 IEEE International Conference on Big Data (Big Data).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47914a38fdf552e91fde73765ca72efe
https://doi.org/10.1109/bigdata52589.2021.9671993
https://doi.org/10.1109/bigdata52589.2021.9671993
Publikováno v:
IEEE/WIC/ACM International Conference on Web Intelligence
The recent advent and evolution of deep learning models and pre-trained embedding techniques have created a breakthrough in supervised learning. Typically, we expect that adding more labeled data improves the predictive performance of supervised mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa5e48b6a22f35983b97923cee28a773
https://doi.org/10.1145/3486622.3493960
https://doi.org/10.1145/3486622.3493960
Autor:
Thanh-Nam Doan, Tuan-Anh Hoang
Publikováno v:
ACL/IJCNLP (Findings)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e04be95134424ef73abbca7f5141b6e
https://doi.org/10.18653/v1/2021.findings-acl.382
https://doi.org/10.18653/v1/2021.findings-acl.382
Publikováno v:
IEEE BigData
The COVID-19 pandemic has caused a drastic change in traffic in the U.S and throughout the world. With the drop in traffic volume, the fuel consumption used for traveling should decline. This study focuses on the changes in fuel consumption of public
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6f50abd40b8f2717aeb252cb5fb308e
https://doi.org/10.1109/bigdata50022.2020.9377775
https://doi.org/10.1109/bigdata50022.2020.9377775
Autor:
Shaghayegh Sahebi, Thanh-Nam Doan
Publikováno v:
ICMLA
The success of cross-domain recommender systems in capturing user interests across multiple domains has recently brought much attention to them. These recommender systems aim to improve the quality of suggestions and defy the cold-start problem by tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d11c359d675989405438953ceab6308e
https://doi.org/10.1109/icmla51294.2020.00059
https://doi.org/10.1109/icmla51294.2020.00059
Publikováno v:
Accident; analysis and prevention. 149
Given the ever present threat of vehicular accident occurrence endangering the lives of most people, preventative measures need to be taken to combat vehicle accident occurrence. From dangerous weather to hazardous roadway conditions, there are a hig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6a6fbb8c28bf77d7ff7e03a6b985e8d
https://pubmed.ncbi.nlm.nih.gov/33171397
https://pubmed.ncbi.nlm.nih.gov/33171397