Results for: All

Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth

A. Tarca, B. A. Pataki, R. Romero, M. Sirota, Y. Guan, R. Kutum, N. Gomez-Lopez, B. Done, G. Bhatti, T. Yu, others

2021 / Vol. 2, pp. 100323 / Cell Reports Medicine

Predictive Model Based on Health Data Analysis for Risk of Readmission in Disease-Specific Cohorts

M. S. Ansari, A. K. Alok, D. Jain, S. Rana, S. Gupta, R. Salwan, S. Venkatesh

2021 / Vol. 18 / Perspectives in Health Information Management

GraphDTA: Predicting drug–target binding affinity with graph neural networks

T. Nguyen, H. Le, T. P. Quinn, T. Nguyen, T. M. Le, S. Venkatesh

2021 / Vol. 37, pp. 1140 - 1147 / Bioinformatics

The relationship between linguistic expression in blog content and symptoms of depression, anxiety, and suicidal thoughts: A longitudinal study

B. O’Dea, T. W. Boonstra, M. Larsen, T. Nguyen, S. Venkatesh, H. Christensen

2021 / Vol. 16, pp. e0251787 / PLoS ONE

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

2021 / Vol. 12, pp. 260 - 270 / Journal of Developmental Origins of Health and Disease

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


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)