Ha Minh Tan

14 papers Misc 3Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dual attention in lightweight U-Net and visual geometry group for advanced breast cancer diagnosis.
Eng. Appl. Artif. Intell.
Ha Minh Tan, Lam Tuan Kiet, Tran Cao Minh, Nguyen Thien Phuc, Cao Hong Nga
2025 — conf
Efficient Hybrid Architecture of U-Net and VGG for Liver Cancer Diagnosis.
ACOMPA
Lam Tuan Kiet, Ha Minh Tan
2025 J jnl
Prediction of heart failure using voting ensemble learning models and novel data normalization techniques.
Eng. Appl. Artif. Intell.
Kien Cao-Van, Le Gia Minh, Tran Cao Minh, Ha Minh Tan
2024 J jnl
A simulation model to improve the production process for furniture companies: a case study in Vietnam.
Int. J. Simul. Process. Model.
Nguyen Van Can, Huynh Thi Thuy Duong, Nguyen Truong Thi, Hoang Luu Hong Anh, Ha Minh Tan
2024 J jnl
Soft-Voting Ensemble Model: An Efficient Learning Approach for Predictive Prostate Cancer Risk.
Vietnam. J. Comput. Sci.
Kien Cao-Van, Tran Cao Minh, Le Gia Minh, Tran Thi Be Quyen, Ha Minh Tan
2024 J jnl
UGGNet: Bridging U-Net and VGG for Advanced Breast Cancer Diagnosis.
EAI Endorsed Trans. Context aware Syst. Appl.
Tran Cao Minh, Nguyen Kim Quoc, Phan Cong Vinh, Dang Nhu Phu, Vuong Xuan Chi, Ha Minh Tan
2024 J jnl
UGGNet: Bridging U-Net and VGG for Advanced Breast Cancer Diagnosis.
CoRR
Tran Cao Minh, Nguyen Kim Quoc, Phan Cong Vinh, Dang Nhu Phu, Vuong Xuan Chi, Ha Minh Tan
2023 J jnl
Advancements in Iris Recognition: WAHET-CNN Framework for Accurate Segmentation and Pattern Classification.
EAI Endorsed Trans. Context aware Syst. Appl.
Nguyen Kim Quoc, Ha Minh Tan, Dang Nhu Phu, Vuong Xuan Chi, Phan Cong Vinh
2023 — conf
Comparing LSTM Models for Stock Market Prediction: A Case Study with Apple's Historical Prices.
ICTCC
Ha Minh Tan, Le Gia Minh, Tran Cao Minh, Tran Thi Be Quyen, Kien Cao-Van
2023 Misc conf
Discriminative Vector Learning with Application to Single Channel Speech Separation.
ICASSP
Ha Minh Tan, Kai-Wen Liang, Jia-Ching Wang
2023 Misc conf
Selinet: A Lightweight Model for Single Channel Speech Separation.
ICASSP
Ha Minh Tan, Duc-Quang Vu, Jia-Ching Wang
2022 Misc conf
Selective Mutual Learning: An Efficient Approach for Single Channel Speech Separation.
ICASSP
Ha Minh Tan, Duc-Quang Vu, Chung-Ting Lee, Yung-Hui Li, Jia-Ching Wang
2022 J jnl
Speech Separation Using Augmented-Discrimination Learning on Squash-Norm Embedding Vector and Node Encoder.
IEEE Access
Ha Minh Tan, Kai-Wen Liang, Yuan-Shan Lee, Chung-Ting Li, Yung-Hui Li, Jia-Ching Wang
2021 — conf
Single Channel Speech Separation using Enhanced Learning on Embedding Features.
GCCE
Ha Minh Tan, Jia-Ching Wang