1 code implementation • 11 Jun 2023 • Anh Duy Nguyen, Trang H. Tran, Hieu H. Pham, Phi Le Nguyen, Lam M. Nguyen
Representation learning for time series has been an important research area for decades.
1 code implementation • 29 Apr 2023 • Thuy Dung Nguyen, Anh Duy Nguyen, Kok-Seng Wong, Huy Hieu Pham, Thanh Hung Nguyen, Phi Le Nguyen, Truong Thao Nguyen
Federated learning (FL) enables multiple clients to train a model without compromising sensitive data.
no code implementations • 17 Mar 2023 • Anh Duy Nguyen, Huy Hieu Pham, Huynh Thanh Trung, Quoc Viet Hung Nguyen, Thao Nguyen Truong, Phi Le Nguyen
We then offer a framework for integrating a priori with pills' visual features to enhance detection accuracy.
no code implementations • 4 Aug 2022 • Anh Duy Nguyen, Thuy Dung Nguyen, Huy Hieu Pham, Thanh Hung Nguyen, Phi Le Nguyen
To this end, in this paper, we introduce a novel approach named PIKA that leverages external knowledge to enhance pill recognition accuracy.
no code implementations • 6 Jul 2017 • Nhan Duy Truong, Anh Duy Nguyen, Levin Kuhlmann, Mohammad Reza Bonyadi, Jiawei Yang, Omid Kavehei
The proposed approach achieves sensitivity of 81. 4%, 81. 2%, 82. 3% and false prediction rate (FPR) of 0. 06/h, 0. 16/h, 0. 22/h on Freiburg Hospital intracranial EEG (iEEG) dataset, Children's Hospital of Boston-MIT scalp EEG (sEEG) dataset, and Kaggle American Epilepsy Society Seizure Prediction Challenge's dataset, respectively.