Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics

J. Tanevski, T. Nguyen, B. Truong, N. Karaiskos, M. Eren, X. Zhang, C. Shu, Y. Hu, H. V. V. Pham, X. Li, T. Duy, A. Tarca, G. Bhatti, R. Romero, N. Karathanasis, P. Loher, Y. Chen, Z. Ouyang, D. Mao, Y. Zhang, M. Zand, J. Ruan, C. Hafemeister, P. Qiu, D. Tran, T. Nguyen, A. Gabor, T. Yu, E. Glaab, R. Krause, P. Banda, G. Stolovitzky, N. Rajewsky, J. Saez-Rodriguez, P. Meyer

2020 / Life Science Alliance

Accelerated Bayesian Optimisation through Weight-Prior Tuning

A. Shilton, S. Gupta, S. Rana, P. Vellanki, C. Li, S. Venkatesh, L. Park, A. Sutti, D. Rubin, T. Dorin, O.

2020 / pp. 635 - 645 / Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS)

Factor Screening High-Dimensional, Stochastic Combat Simulations

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


Attentional multilabel learning over graphs: a message passing approach

K. Do, T. Tran, T. Nguyen, S. Venkatesh

2019 / pp. 1 - 25 / Machine Learning

Learning regularity in skeleton trajectories for anomaly detection in videos

R. Morais, V. Le, T. Tran, B. Saha, M. Mansour, S. Venkatesh

2019 / IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Bayesian functional optimisation with shape prior

P. Vellanki, S. Rana, S. Gupta, D. Leal, A. Sutti, M. Height, S. Venkatesh

2019 / pp. (Accepted 1 Nov 2018) / The AAAI Conference on Artificial Intelligence (AAAI)

Incomplete Conditional Density Estimation for Fast Materials Discovery

P. Nguyen, T. Truyen, S. Gupta, S. Rana, S. Venkatesh

2019 / pp. accepted on Dec 22, 2018 / Proceedings of the SIAM International Conference on Data Mining

Efficient Hyperparameter Tuning using Bayesian Optimization

T. Theckel

2019 / Doctor of Philosophy (Information Technology), School of Information Technology

Recurrent Neural Networks for Structured Data

T. Thi

2019 / Doctor of Philosophy (Information Technology), School of Information Technology

A Cross-Cancer Metastasis Signature in the microRNA-mRNA Axis of Paired Tissue Samples

S. C. Lee, A. Quinn, T. Nguyen, S. Venkatesh, T. P. Quinn

2019 / Vol. 46, pp. 5919 - 5930 / Molecular Biology Reports

An Empirical Study on Prediction of Population Health through Social Media

H. Nguyen, T. Nguyen, D. Nguyen

2019 / Vol. 99, pp. 103277 / Journal of Biomedical Informatics

Estimating County Health Indices Using Graph Neural Networks

H. Nguyen, D. Nguyen, T. Nguyen

2019 / pp. 64 - 76 / Proceedings of the Australasian Conference on Data Mining

Graph Transformation Policy Network for Chemical Reaction Prediction

K. Do, T. Tran, S. Venkatesh

2019 / pp. (Accepted 30 Apr 2019) / Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)

A flexible transfer learning framework for Bayesian optimization with convergence guarantee

T. Joy, S. Rana, S. Gupta, S. Venkatesh

2019 / Vol. 115, pp. 656 - 672 / Expert Systems with Applications

Improving Generalization and Stability of Generative Adversarial Networks

H. Thanh-Tung, T. Tran, S. Venkatesh

2019 / pp. (Accepted 21 Dec 2018) / International Conference on Learning Representations (ICLR)

Towards effective AI-powered agile project management

H. Dam, T. Tran, J. Grundy, A. Ghose, Y. Kamei

2019 / Proceedings of the 41st International Conference on Software Engineering: New Ideas and Emerging Results