Ha Minh Tan

According to our database, Ha Minh Tan authored at least 11 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Prediction of heart failure using voting ensemble learning models and novel data normalization techniques.

Kien Cao-Van, Le Gia Minh, Tran Cao Minh, Ha Minh Tan

Eng. Appl. Artif. Intell., 2025

2024

Soft-Voting Ensemble Model: An Efficient Learning Approach for Predictive Prostate Cancer Risk.

Kien Cao-Van, Tran Cao Minh, Le Gia Minh, Tran Thi Be Quyen, Ha Minh Tan

Vietnam. J. Comput. Sci., November, 2024

A simulation model to improve the production process for furniture companies: a case study in Vietnam.

Nguyen Van Can, Huynh Thi Thuy Duong, Nguyen Truong Thi, Hoang Luu Hong Anh, Ha Minh Tan

Int. J. Simul. Process. Model., 2024

UGGNet: Bridging U-Net and VGG for Advanced Breast Cancer Diagnosis.

Tran Cao Minh, Nguyen Kim Quoc, Phan Cong Vinh, Dang Nhu Phu, Vuong Xuan Chi, Ha Minh Tan

EAI Endorsed Trans. Context aware Syst. Appl., 2024

2023

Advancements in Iris Recognition: WAHET-CNN Framework for Accurate Segmentation and Pattern Classification.

Nguyen Kim Quoc, Ha Minh Tan, Dang Nhu Phu, Vuong Xuan Chi, Phan Cong Vinh

EAI Endorsed Trans. Context aware Syst. Appl., 2023

Comparing LSTM Models for Stock Market Prediction: A Case Study with Apple's Historical Prices.

Ha Minh Tan, Le Gia Minh, Tran Cao Minh, Tran Thi Be Quyen, Kien Cao-Van

Proceedings of the Nature of Computation and Communication, 2023

Selinet: A Lightweight Model for Single Channel Speech Separation.

Ha Minh Tan, Duc-Quang Vu, Jia-Ching Wang

Proceedings of the IEEE International Conference on Acoustics, 2023

Discriminative Vector Learning with Application to Single Channel Speech Separation.

Ha Minh Tan, Kai-Wen Liang, Jia-Ching Wang

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Speech Separation Using Augmented-Discrimination Learning on Squash-Norm Embedding Vector and Node Encoder.

Ha Minh Tan, Kai-Wen Liang, Yuan-Shan Lee, Chung-Ting Li, Yung-Hui Li, Jia-Ching Wang

IEEE Access, 2022

Selective Mutual Learning: An Efficient Approach for Single Channel Speech Separation.

Ha Minh Tan, Duc-Quang Vu, Chung-Ting Lee, Yung-Hui Li, Jia-Ching Wang

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Single Channel Speech Separation using Enhanced Learning on Embedding Features.

Ha Minh Tan, Jia-Ching Wang

Proceedings of the 10th IEEE Global Conference on Consumer Electronics, 2021