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The maternal gut microbiome during pregnancy and offspring allergy and asthma

Y. Gao, R. Nanan, L. Macia, J. Tan, L. Sominsky, T. P. Quinn, M. O’Hely, A. Ponsonby, M. L. K. Tang, F. Collier, others

2021 / Journal of Allergy and Clinical Immunology

Early Moves: a protocol for a population-based prospective cohort study to establish general movements as an early biomarker of cognitive impairment in infants

C. Elliott, C. Alexander, A. Salt, A. J. Spittle, R. N. Boyd, N. Badawi, C. Morgan, D. Silva, E. Geelhoed, R. S. Ware, others

2021 / Vol. 11, pp. e041695 / BMJ open

Factor Screening using Bayesian Active Learning and Gaussian Process Meta-Modelling

C. Li, S. Rana, A. Gill, D. Nguyen, S. Gupta, S. Venkatesh

2021 / pp. 3288 - 3295 / 25th International Conference on Pattern Recognition (ICPR)

Bayesian Optimistic Optimisation with Exponentially Decaying Regret

H. Tran-The, S. Gupta, S. Rana, S. Venkatesh

2021 / pp. 10390 - 10400 / International Conference on Machine Learning

A New Representation of Successor Features for Transfer across Dissimilar Environments

M. Abdolshah, H. Le, T. K. George, S. Gupta, S. Rana, S. Venkatesh

2021 / pp. 1 - 9 / International Conference on Machine Learning

Fairness improvement for black-box classifiers with Gaussian process

D. Nguyen, S. Gupta, S. Rana, A. Shilton, S. Venkatesh

2021 / Vol. 576, pp. 542 - 556 / Information Sciences

Automatically recommending components for issue reports using deep learning

M. Choetkiertikul, H. K. Dam, T. Tran, T. T. M. Pham, C. Ragkhitwetsagul, A. Ghose

2021 / Vol. 26, pp. 1 - 39 / Empirical Software Engineering

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

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

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

Object-Centric Representation Learning for Video Question Answering

L. H. Dang, T. M. Le, V. Le, T. Tran

2021 / Ijcnn

Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering

L. H. Dang, T. M. Le, V. Le, T. Tran

2021

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)

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)

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)

Clustering by Maximizing Mutual Information Across Views

K. Do, T. Tran, S. Venkatesh

2021

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

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)

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