Automatic Tweet Generation From Traffic Incident Data. - Khoa Tran; Fred Popowich (WebNLG, 2016)

Mixed-Initiative for Big Data: The Intersection of Human + Visual Analytics + Prediction. - Stephen Makonin; Daniel McVeigh; Wolfgang Stuerzlinger; Khoa Tran; Fred Popowich (HICSS, 2016)

Deep Learning Framework Applied for Predicting Anomaly of Respiratory Sounds. - Dat Ngo; Lam Pham; Anh Nguyen; Ben Phan; Khoa Tran; Truong Nguyen (CoRR, 2020)

Taking the Confusion Out of Multinomial Confusion Matrices and Imbalanced Classes. - David Lovell 002; Bridget McCarron; Brendan Langfield; Khoa Tran; Andrew P. Bradley (AusDM, 2021)

Wearable Ultrasound Assessment of Lung Sliding in M-Mode: A Phantom Simulation-Based Study. - Khoa Tran; Sazedur Rahman; Yuu Ono; Sreeraman Rajan; Robert Arntfield (BIBE, 2022)

An Ensemble of Deep Learning Frameworks for Predicting Respiratory Anomalies. - Lam Pham; Dat Ngo; Khoa Tran; Truong Van Hoang; Alexander Schindler; Ian McLoughlin 001 (EMBC, 2022)

Comparison of Particle Swarm Optimization and Genetic Algorithm for Ultrasound Estimation of Carotid Intima-Media Thickness Using Matching Pursuit. - Khoa Tran; Sreeraman Rajan; Yuu Ono (MeMeA, 2022)

Wider or Deeper Neural Network Architecture for Acoustic Scene Classification with Mismatched Recording Devices. - Lam Pham; Khoa Tran; Dat Ngo; Hieu Tang; Son Phan; Alexander Schindler (MMAsia, 2022)

High-order symplectic Lie group methods on SO(n) using the polar decomposition. - Xuefeng Shen; Khoa Tran; Melvin Leok (CoRR, 2022)

Remote Sensing Image Classification using Transfer Learning and Attention Based Deep Neural Network. - Lam Pham; Khoa Tran; Dat Ngo; Jasmin Lampert; Alexander Schindler (CoRR, 2022)

Robust, General, and Low Complexity Acoustic Scene Classification Systems and An Effective Visualization for Presenting a Sound Scene Context. - Lam Pham; Dusan Salovic; Anahid N. Jalali; Alexander Schindler; Khoa Tran; Hai Canh Vu; Phu X. Nguyen (CoRR, 2022)

Robust-MBDL: A Robust Multi-branch Deep Learning Based Model for Remaining Useful Life Prediction and Operational Condition Identification of Rotating Machines. - Khoa Tran; Hai Canh Vu; Lam Pham; Nassim Boudaoud (CoRR, 2023)

Robust-MBFD: A Robust Deep Learning System for Motor Bearing Faults Detection Using Multiple Deep Learning Training Strategies and A Novel Double Loss Function. - Khoa Tran; Lam Pham; Hai Canh Vu (CoRR, 2023)

Safe Stabilizing Control for Polygonal Robots in Dynamic Elliptical Environments. - Kehan Long; Khoa Tran; Melvin Leok; Nikolay Atanasov 001 (ACC, 2024)

Blockchain and Encrypted NFTs: A New Paradigm for Intellectual Property Rights Management. - Trung Phan Huynh Tuan; Khoa Tran; Khiem Huynh; Loc Van Cao Phu; Ngan Nguyen; Nam Tran Ba; Hieu Doan Minh; Anh The Nguyen (WISE (PhD Symposium, Demos and Workshops), 2024)

Uniform Ck Approximation of G-Invariant and Antisymmetric Functions, Embedding Dimensions, and Polynomial Representations. - Soumya Ganguly; Khoa Tran; Rahul Sarkar (CoRR, 2024)

Sing-On-Your-Beat: Simple Text-Controllable Accompaniment Generations. - Quoc-Huy Trinh; Minh-Van Nguyen; Trong-Hieu Nguyen Mau; Khoa Tran; Thanh Do (CoRR, 2024)

Fairness and Robustness in Machine Unlearning. - Khoa Tran; Simon S. Woo (WWW (Companion Volume), 2025)

Lie Group Variational Collision Integrators for a Class of Hybrid Systems. - Khoa Tran; Melvin Leok (SIAM J. Appl. Dyn. Syst., 2025)

HybridoNet-Adapt: A Domain-Adapted Framework for Accurate Lithium-Ion Battery RUL Prediction. - Khoa Tran; Bao Huynh; Tri Le; Lam Pham; Vy-Rin Nguyen (CoRR, 2025)

A robust deep learning system for motor bearing fault detection: leveraging multiple learning strategies and a novel double loss function. - Khoa Tran; Lam Pham; Vy-Rin Nguyen; Ho-Si-Hung Nguyen (Signal Image Video Process., 2025)

End-to-End Framework for Predicting the Remaining Useful Life of Lithium-Ion Batteries. - Khoa Tran; Tri Le; Bao Huynh; Hung-Cuong Trinh; Vy-Rin Nguyen (CoRR, 2025)