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2020 – today
- 2025
[j1]Minh-Tri Nguyen
, Hong-Linh Truong:
On Optimizing Resources for Real-Time End-to-End Machine Learning in Heterogeneous Edges. Softw. Pract. Exp. 55(3): 541-558 (2025)- 2024
- [c16]Minh-Tri Nguyen, Anh-Dung Nguyen, Jarno Rantaharju, Touko Puro, Matthias Rheinhardt, Maarit J. Korpi-Lagg, Hong Linh Truong:
Supporting Opportunistic Data Operations for Data-Intensive Computational Applications. IEEE Big Data 2024: 3735-3744 - [c15]Minh-Tri Nguyen, Hong Linh Truong, Tram Truong Huu:
Novel Contract-based Runtime Explainability Framework for End-to-End Ensemble Machine Learning Serving. CAIN 2024: 234-244 - [c14]Minh-Tri Nguyen, An Ngoc Lam, Phu Hong Nguyen, Hong-Linh Truong:
Security Orchestration with Explainability for Digital Twins-Based Smart Systems. COMPSAC 2024: 1194-1203 - [c13]Minh-Tri Nguyen, Hong-Linh Truong, Paolo Arcaini, Fuyuki Ishikawa:
Optimizing Multiple Consumer-specific Objectives in End-to-End Ensemble Machine Learning Serving. UCC 2024: 103-108 - 2022
- [c12]Hoang-Quan Dang, Duy-Anh Nguyen, Phu-Phuoc Pham, Ngoc-Thinh Nguyen, Tan Chau, Duc-Vu Ngo, Trung-Hieu Nguyen, Chau-Thang Phan, The-Hien Trinh, Minh-Tri Nguyen, Trong-Hop Do:
NomNaOCR: The First Dataset for Optical Character Recognition on Han-Nom Script. RIVF 2022: 476-481 - [c11]Tan Chau, Minh-Tri Nguyen, Duc-Vu Ngo, Anh-Duc T. Nguyen, Trong-Hop Do:
Deep Reinforcement Learning methods for Automation Forex Trading. RIVF 2022: 671-676 - [c10]Tien-Dung Cao, Hong-Linh Truong, Tram Truong Huu, Minh-Tri Nguyen:
Enabling Awareness of Quality of Training and Costs in Federated Machine Learning Marketplaces. UCC 2022: 41-50 - 2021
- [c9]Hong Linh Truong, Minh-Tri Nguyen:
QoA4ML - A Framework for Supporting Contracts in Machine Learning Services. ICWS 2021: 465-475 - [c8]Minh-Tri Nguyen, Hong-Linh Truong:
Demonstration Paper: Monitoring Machine Learning Contracts with QoA4ML. ICPE (Companion) 2021: 169-170 - 2020
- [c7]Tri-Nhan Do, Minh-Tri Nguyen, Hai-Dang Nguyen, Minh-Triet Tran, Xuan-Nam Cao:
HCMUS at MediaEval 2020: Emotion Classification Using Wavenet Feature with SpecAugment and EfficientNet. MediaEval 2020
2010 – 2019
- 2019
- [c6]Minh-Tri Nguyen, Duong H. Le, Takuma Nakajima, Masato Yoshimi, Nam Thoai:
Attention-Based Neural Network: A Novel Approach for Predicting the Popularity of Online Content. HPCC/SmartCity/DSS 2019: 329-336 - [c5]Anh-Tu Ngoc Tran, Minh-Tri Nguyen, Thanh-Dang Diep, Takuma Nakajima, Nam Thoai:
Optimizing Color-Based Cooperative Caching in Telco-CDNs by Using Real Datasets. IMCOM 2019: 288-305 - [c4]Minh-Tri Nguyen, Takuma Nakajima, Masato Yoshimi, Nam Thoai:
Analyzing and Predicting the Popularity of Online Contents. iiWAS 2019: 93-102 - 2018
- [c3]Minh-Tri Nguyen, Thanh-Dang Diep, Tran Hoang Vinh, Takuma Nakajima, Nam Thoai:
Analyzing and Visualizing Web Server Access Log File. FDSE 2018: 349-367 - [c2]Anh-Tu Ngoc Tran, Huu-Phu Nguyen, Minh-Tri Nguyen, Thanh-Dang Diep, Nguyen Quang-Hung, Nam Thoai:
pyMIC-DL: A Library for Deep Learning Frameworks Run on the Intel® Xeon Phi™ Coprocessor. HPCC/SmartCity/DSS 2018: 226-234 - [c1]Anh-Tu Ngoc Tran, Minh-Tri Nguyen, Thanh-Dang Diep, Takuma Nakajima, Nam Thoai:
A Performance Study of Color-Based Cooperative Caching in Telco-CDNs by Using Real Datasets. SoICT 2018: 169-176
Coauthor Index
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