Feature Weighting Using Margin and Radius Based Error Bound Optimization in SVMs. - Huyen Do; Alexandros Kalousis; Melanie Hilario (ECML/PKDD (1), 2009)

Margin and Radius Based Multiple Kernel Learning. - Huyen Do; Alexandros Kalousis; Adam Woznica; Melanie Hilario (ECML/PKDD (1), 2009)

Metric Learning with Multiple Kernels. - Jun Wang 017; Huyen Do; Adam Woznica; Alexandros Kalousis (NIPS, 2011)

Ontology-Based Meta-Mining of Knowledge Discovery Workflows. - Melanie Hilario; Phong Nguyen 002; Huyen Do; Adam Woznica; Alexandros Kalousis (Meta-Learning in Computational Intelligence, 2011)

A metric learning perspective of SVM: on the relation of SVM and LMNN - Huyen Do; Alexandros Kalousis; Jun Wang 017; Adam Woznica (CoRR, 2012)

A metric learning perspective of SVM: on the relation of LMNN and SVM. - Huyen Do; Alexandros Kalousis; Jun Wang 017; Adam Woznica (AISTATS, 2012)

Convex formulations of radius-margin based Support Vector Machines. - Huyen Do; Alexandros Kalousis (ICML (1), 2013)

A Metric-learning based framework for Support Vector Machines and Multiple Kernel Learning. - Huyen Do; Alexandros Kalousis (CoRR, 2013)

Augmentation Robust Self-Supervised Learning for Human Activity Recognition. - Cong Xu; Yuhang Li 001; Dae Lee; Dae Hoon Park; Hongda Mao; Huyen Do; Jonathan Chung 001; Dinesh Nair (ICASSP, 2023)

f-GAN: A frequency-domain-constrained generative adversarial network for PPG to ECG synthesis. - Nathan C. L. Kong; Dae Lee; Huyen Do; Dae Hoon Park; Cong Xu; Hongda Mao; Jonathan Chung 001 (CoRR, 2024)