Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation J. Berk, S. Gupta, S. Rana, S. Venkatesh 2020 / pp. 2284 - 2290 / Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, {IJCAI-20}
A practical, collaborative approach for modeling big data analytics application requirements H. Khalajzadeh, A. Simmons, M. Abdelrazek, J. Grundy, J. Hosking, Q. He, P. Ratnakanthan, A. Zia, M. Law 2020 / pp. 256 - 257 / Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering: Companion Proceedings
State-Based Markers of Disordered Eating Symptom Severity M. Fuller-Tyszkiewicz, I. Krug, J. M. Smyth, F. Fernandez-Aranda, J. Treasure, J. Linardon, R. Vasa, A. Shatte 2020 / Vol. 9, pp. 1948 / Journal of Clinical Medicine
Neural Reasoning, Fast and Slow, for Video Question Answering T. M. Le, V. Le, S. Venkatesh, T. Tran 2020 / International Joint Conference on Neural Networks (IJCNN)
Hierarchical Conditional Relation Networks for Video Question Answering T. M. Le, V. Le, S. Venkatesh, T. Tran 2020 / Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Hierarchical Conditional Relation Networks for Multimodal Video Question Answering T. M. Le, V. Le, S. Venkatesh, T. Tran 2020 / International Journal of Computer Vision (IJCV)
Infant microbiota in colic: predictive associations with problem crying and subsequent child behavior A. Loughman, T. P. Quinn, M. L. Nation, A. Reichelt, R. J. Moore, T. T. H. Van, V. Sung, M. L. K. Tang 2020 / pp. 1 - 11 / Journal of Developmental Origins of Health and Disease
Multiclass Anomaly Detector: the {CS++} Support Vector Machine A. Shilton, S. Rajasegarar, M. Palaniswami 2020 / Vol. 21, pp. 1 - 39 / Journal of Machine Learning Research
Learning distance-dependent motif interactions: an interpretable CNN model of genomic events T. P. Quinn, D. Nguyen, P. Nguyen, S. Gupta, S. Venkatesh 2020 / bioRxiv
On catastrophic forgetting and mode collapse in Generative Adversarial Networks H. Thanh-Tung, T. Tran, S. Venkatesh 2020 / Ijcnn
Object-Centric Relational Reasoning for Video Question Answering L. H. Dang, T. M. Le, V. Le, T. Tran 2020 / pp. XXX / Video Turing Test: Toward Human-Level Video Story Understanding 2020 (ECCV 2020)
HyperVAE: A Minimum Description Length Variational Hyper-Encoding Network P. Nguyen, T. Tran, S. Gupta, S. Rana, H. K. Dam, S. Venkatesh 2020 / NeurIPS 2020 Workshop on Meta-Learning
Toward a Generalization Metric for Deep Generative Models H. Thanh-Tung, T. Tran 2020 / ''I Can't Believe It's Not Better!''NeurIPS 2020 workshop
Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces H. Tran-The, A. S. Gupta, S. Rana, H. Ha, S. Venkatesh 2020 / Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems
GEFA: Early Fusion Approach in Drug-Target Affinity Prediction T. M. Nguyen, T. Nguyen, T. M. Le, T. Tran 2020 / Proceedings of the NeurIPS Workshop on Machine Learning for Structural Biology
A Graph-based Approach for Population Health Analysis Using Geo-Tagged Tweets H. Nguyen, T. Nguyen, D. T. Nguyen 2020 / Multimedia Tools and Applications
GraphDTA: Predicting drug–target binding affinity with graph neural networks T. Nguyen, H. Le, T. P. Quinn, T. Nguyen, T. M. Le, S. Venkatesh 2020 / Bioinformatics
Computational methods for predicting Autism Spectrum Disorder from gene expression data J. Zhang, T. Nguyen, B. Truong, L. Liu, J. Li, T. M. Le 2020 / Proceedings of the 16th International Conference on Advanced Data Mining and Applications (ADMA)
