Khoa Tran

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 16

Top Topics

Confusion Matrices

Classification Systems

Top Venues

Publications

Soumya Ganguly, Khoa Tran, Rahul Sarkar
Approximation of G-Invariant and Antisymmetric Functions, Embedding Dimensions, and Polynomial Representations. CoRR (2024)
Khoa Tran, Hai Canh Vu, Lam Pham, Nassim Boudaoud
Robust-MBDL: A Robust Multi-branch Deep Learning Based Model for Remaining Useful Life Prediction and Operational Condition Identification of Rotating Machines. CoRR (2023)
Khoa Tran, Lam Pham, Hai Canh Vu
Robust-MBFD: A Robust Deep Learning System for Motor Bearing Faults Detection Using Multiple Deep Learning Training Strategies and A Novel Double Loss Function. CoRR (2023)
Kehan Long, Khoa Tran, Melvin Leok, Nikolay Atanasov
Safe Stabilizing Control for Polygonal Robots in Dynamic Elliptical Environments. CoRR (2023)
Khoa Tran, Melvin Leok
Lie Group Variational Collision Integrators for a Class of Hybrid Systems. CoRR (2023)
Xuefeng Shen, Khoa Tran, Melvin Leok
High-order symplectic Lie group methods on SO(n) using the polar decomposition. CoRR (2022)
Khoa Tran, Sreeraman Rajan, Yuu Ono
Comparison of Particle Swarm Optimization and Genetic Algorithm for Ultrasound Estimation of Carotid Intima-Media Thickness Using Matching Pursuit. MeMeA (2022)
Lam Pham, Khoa Tran, Dat Ngo, Hieu Tang, Son Phan, Alexander Schindler
Wider or Deeper Neural Network Architecture for Acoustic Scene Classification with Mismatched Recording Devices. MMAsia (2022)
Lam Pham, Dusan Salovic, Anahid N. Jalali, Alexander Schindler, Khoa Tran, Canh Vu, Phu X. Nguyen
Robust, General, and Low Complexity Acoustic Scene Classification Systems and An Effective Visualization for Presenting a Sound Scene Context. CoRR (2022)
Lam Pham, Dat Ngo, Khoa Tran, Truong Van Hoang, Alexander Schindler, Ian McLoughlin
An Ensemble of Deep Learning Frameworks for Predicting Respiratory Anomalies. EMBC (2022)
Khoa Tran, Sazedur Rahman, Yuu Ono, Sreeraman Rajan, Robert Arntfield
Wearable Ultrasound Assessment of Lung Sliding in M-Mode: A Phantom Simulation-Based Study. BIBE (2022)
Lam Pham, Khoa Tran, Dat Ngo, Jasmin Lampert, Alexander Schindler
Remote Sensing Image Classification using Transfer Learning and Attention Based Deep Neural Network. CoRR (2022)
David Lovell, Bridget McCarron, Brendan Langfield, Khoa Tran, Andrew P. Bradley
Taking the Confusion Out of Multinomial Confusion Matrices and Imbalanced Classes. AusDM (2021)
Dat Ngo, Lam Pham, Anh Nguyen, Ben Phan, Khoa Tran, Truong Nguyen
Deep Learning Framework Applied for Predicting Anomaly of Respiratory Sounds. CoRR (2020)
Stephen Makonin, Daniel McVeigh, Wolfgang Stuerzlinger, Khoa Tran, Fred Popowich
Mixed-Initiative for Big Data: The Intersection of Human + Visual Analytics + Prediction. HICSS (2016)
Khoa Tran, Fred Popowich
Automatic Tweet Generation From Traffic Incident Data. WebNLG (2016)