Graph convolutional networks for drug response prediction T. Nguyen, G. Nguyen, T. Nguyen, D. Le 2021 / IEEE/ACM Transactions on Computational Biology and Bioinformatics
Goal-driven Long-Term Trajectory Prediction H. Tran, V. Le, T. Tran 2021 / pp. 796 - 805 / Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision
Coupling machine learning with 3D bioprinting to fast track optimisation of extrusion printing K. Ruberu, M. Senadeera, S. Rana, S. Gupta, J. Chung, Z. Yue, S. Venkatesh, G. Wallace 2021 / Vol. 22, pp. 100914 / Applied Materials Today
High Dimensional Level Set Estimation with Bayesian Neural Network H. Ha, S. Gupta, S. Rana, S. Venkatesh 2021 / pp. To appear / Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence
Sparse Spectrum Gaussian Process for Bayesian Optimization A. Yang, C. Li, S. Rana, S. Gupta, S. Venkatesh 2021 / pp. To appear / Proceedings of the 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2021)
Test set verification is an essential step in model building T. P. Quinn, V. Le, A. P. A. Cardilini 2021 / Vol. 12, pp. 127 - 129 / Methods in Ecology and Evolution
Distributional Reinforcement Learning via Moment Matching T. T. Nguyen, S. Gupta, S. Venkatesh 2021 / pp. accepted on 02/10/2020 / The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI)
Genomic mutations and changes in protein secondary structure and solvent accessibility of SARS-CoV-2 (COVID-19) virus T. T. Nguyen, P. N. Pathirana, T. Nguyen, H. Nguyen, A. Bhatti, D. C. Nguyen, D. T. Nguyen, N. D. Nguyen, D. Creighton, M. Abdelrazek 2021 / Scientific Reports
Examining microbe–metabolite correlations by linear methods T. P. Quinn, I. Erb 2021 / Vol. 18, pp. 37 - 39 / Nature Methods
Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization K. Do, T. Tran, S. Venkatesh 2021 / The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI)
GEFA: early fusion approach in drug-target affinity prediction T. M. Nguyen, T. Nguyen, T. M. Le, T. Tran 2021 / IEEE/ACM Transactions on Computational Biology and Bioinformatics
Knowledge distillation with distribution mismatch D. Nguyen, S. Gupta, T. Nguyen, S. Sana, P. Nguyen, T. Tran, K. Le, S. Ryan, S. Venkatesh 2021 / European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (ECML-PKDD)
Fast conditional network compression using Bayesian HyperNetworks P. Nguyen, T. Tran, K. Le, S. Gupta, S. Sana, D. Nguyen, T. Nguyen, S. Ryan, S. Venkatesh 2021 / European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (ECML-PKDD)
Variational hyper-encoding networks P. Nguyen, T. Tran, S. Gupta, S. Rana, H. K. Dam, S. Venkatesh 2021 / European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (ECML-PKDD)
Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering L. H. Dang, T. M. Le, V. Le, T. Tran 2021
Object-Centric Representation Learning for Video Question Answering L. H. Dang, T. M. Le, V. Le, T. Tran 2021 / Ijcnn
Learning Asynchronous and Sparse Human-Object Interaction in Videos R. Morais, V. Le, S. Venkatesh, T. Tran 2021 / pp. 16041 - 16050 / Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
PAN: Personalized Annotation-based Networks for the Prediction of Breast Cancer Relapse T. Nguyen, S. C. Lee, T. P. Quinn, B. Truong, X. Li, T. Tran, S. Venkatesh, T. M. Le 2021 / IEEE/ACM Transactions on Computational Biology and Bioinformatics
A Spatio-temporal Attention-based Model for Infant Movement Assessment from Videos B. Nguyen-Thai, V. Le, C. Morgan, N. Badawi, T. Tran, S. Venkatesh 2021 / IEEE journal of biomedical and health informatics