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ORCIDDo-Van Nguyen
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- affiliation: National Institute of Information and Communications Technology (NICT), Japan
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Journal Articles
- 2018
[j4]Thinh Cao, Koichi Yamada, Muneyuki Unehara, Izumi Suzuki, Do Van Nguyen
:
Parallel Computation of Rough Set Approximations in Information Systems with Missing Decision Data. Comput. 7(3): 44 (2018)- 2017
- [j3]Thinh Cao, Koichi Yamada, Muneyuki Unehara, Izumi Suzuki, Do Van Nguyen:
Rough Set Model in Incomplete Decision Systems. J. Adv. Comput. Intell. Intell. Informatics 21(7): 1221-1231 (2017) - 2014
- [j2]Do Van Nguyen, Koichi Yamada, Muneyuki Unehara:
Rough Set Approach with Imperfect Data Based on Dempster-Shafer Theory. J. Adv. Comput. Intell. Intell. Informatics 18(3): 280-288 (2014) - 2013
- [j1]Do Van Nguyen, Koichi Yamada, Muneyuki Unehara:
Extended Tolerance Relation to Define a New Rough Set Model in Incomplete Information Systems. Adv. Fuzzy Syst. 2013: 372091:1-372091:10 (2013)
Conference and Workshop Papers
- 2024
- [c21]Do-Van Nguyen, Minh-Son Dao, Koji Zettsu:
Digital Twin Orchestration: Framework and Smart City Applications. AI4DT&CP@IJCAI 2024: 21-40 - [c20]Tran Anh Khoa, Minh-Son Dao, Do-Van Nguyen, Koji Zettsu:
Clustering-Enhanced Reinforcement Learning for Adaptive Offloading in Resource-Constrained Devices. SMARTCOMP 2024: 133-140 - 2023
- [c19]Tran Anh Khoa, Do-Van Nguyen, Minh-Son Dao, Koji Zettsu:
AOP: Towards Adaptive Offloading Point Approach in a Federated Learning Framework for Edge AI Applications. ICPADS 2023: 2846-2847 - 2022
- [c18]Do-Van Nguyen, Anh-Khoa Tran, Koji Zettsu:
FedProb: An Aggregation Method Based on Feature Probability Distribution for Federated Learning on Non-IID Data. IEEE Big Data 2022: 2875-2881 - [c17]Tran Anh Khoa, Do-Van Nguyen, Minh-Son Dao, Koji Zettsu:
splitDyn: Federated Split Neural Network for Distributed Edge AI Applications. IEEE Big Data 2022: 6066-6073 - [c16]Tran Anh Khoa, Do-Van Nguyen, Phuoc Van Nguyen Thi, Koji Zettsu:
FedMCRNN: Federated Learning using Multiple Convolutional Recurrent Neural Networks for Sleep Quality Prediction. ICDAR@ICMR 2022: 63-69 - 2021
- [c15]Do Van Nguyen, Koji Zettsu:
Spatially-distributed Federated Learning of Convolutional Recurrent Neural Networks for Air Pollution Prediction. IEEE BigData 2021: 3601-3608 - [c14]Tran Anh Khoa, Do-Van Nguyen, Minh-Son Dao, Koji Zettsu:
Fed xData: A Federated Learning Framework for Enabling Contextual Health Monitoring in a Cloud-Edge Network. IEEE BigData 2021: 4979-4988 - [c13]Thi Phuoc Van Nguyen, Do Van Nguyen, Koji Zettsu:
Models to Predict Sleeping Quality from Activities and Environment: Current Status, Challenges and Opportunities. ICDAR@ICMR 2021: 52-56 - 2019
- [c12]Tung-Long Vuong, Do Van Nguyen, Tai-Long Nguyen, Cong-Minh Bui, Hai-Dang Kieu, Viet-Cuong Ta, Quoc-Long Tran, Thanh Ha Le:
Sharing Experience in Multitask Reinforcement Learning. IJCAI 2019: 3642-3648 - [c11]Tai-Long Nguyen, Do-Van Nguyen, Thanh-Ha Le:
Reinforcement Learning Based Navigation with Semantic Knowledge of Indoor Environments. KSE 2019: 1-7 - [c10]Hung The Nguyen, Tung Nguyen, Do-Van Nguyen, Thanh-Ha Le:
A Hierarchical Deep Deterministic Policy Gradients for Swarm Navigation. KSE 2019: 1-7 - 2018
- [c9]Duc-Thinh Bui, Trong-Dat Tran, Thi-Thuy Nguyen, Quoc-Long Tran, Do Van Nguyen:
Aerial Image Semantic Segmentation Using Neural Search Network Architecture. MIWAI 2018: 113-124 - [c8]Huyen Tran, Thinh Cao, Koichi Yamada, Do Van Nguyen:
Incremental Updating Methods with Three-Way Decision Models in Incomplete Information Systems. SCIS&ISIS 2018: 27-32 - [c7]Van-Viet Doan, Duy-Hung Nguyen, Quoc-Long Tran, Do Van Nguyen, Thanh Ha Le:
Real-Time Image Semantic Segmentation Networks with Residual Depth-Wise Separable Blocks. SCIS&ISIS 2018: 174-179 - [c6]Do Van Nguyen, Tung-Long Vuong, Hai-Dang Kieu, Linh Pham, Thanh Ha Le:
Vision Memory for Target Object Navigation Using Deep Reinforcement Learning: An Empirical Study. SMC 2018: 3267-3273 - 2017
- [c5]Hoa Minh Nguyen, Tung Long Vuong, Dinh Nam Nguyen, Do Van Nguyen, Thanh Ha Le, Thuy Thi Nguyen:
Moving Object Detection in Compressed Domain for High Resolution Videos. SoICT 2017: 364-369 - 2016
- [c4]Thinh Cao, Koichi Yamada, Muneyuki Unehara, Izumi Suzuki, Do Van Nguyen:
Semi-supervised based rough set to handle missing decision data. FUZZ-IEEE 2016: 1948-1954 - 2015
- [c3]Do Van Nguyen, Keisuke Ogawa, Kazunori Matsumoto, Masayuki Hashimoto:
Editing Training Sets from Imbalanced Data Using Fuzzy-Rough Sets. AIAI 2015: 115-129 - 2013
- [c2]Do Van Nguyen, Koichi Yamada, Muneyuki Unehara:
On Probability of Matching in Probability Based Rough Set Definitions. SMC 2013: 449-454 - 2012
- [c1]Do Van Nguyen, Koichi Yamada, Muneyuki Unehara:
Rough set model based on Parameterized Probabilistic similarity relation in incomplete decision tables. SCIS&ISIS 2012: 577-582
Coauthor Index
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