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

J. Tanevski, T. Nguyen, B. Truong, N. Karaiskos, M. E. Ahsen, X. Zhang, C. Shu, Y. Hu, H. V. V. Pham, X. Li, T. M. Le, 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

Mr{PC}: Causal structure learning in distributed systems

T. Nguyen, D. T. Nguyen, T. M. Le, S. Venkatesh

2020 / Proceedings of the 27th International Conference on Neural Information Processing (ICONIP)

The winning methods for predicting cellular position in the DREAM single cell transcriptomics challenge

V. V. H. Pham, X. Li, B. Truong, T. Nguyen, L. Liu, J. Li, T. M. Le

2020 / Briefings in Bioinformatics

Unsupervised Anomaly Detection on Temporal Multiway Data

D. Nguyen, P. Nguyen, K. Do, S. Rana, S. Gupta, T. Tran

2020 / pp. 1059 - 1066 / 2020 IEEE Symposium Series on Computational Intelligence (SSCI)

Geolocated Twitter-based population mobility in Victoria, Australia, during the staged COVID-19 restrictions

T. Nguyen, S. Gupta, J. Raman, R. Bellomo, S. Venkatesh

2020 / Vol. 22 / Critical Care and Resuscitation

Succinct contrast sets via false positive controlling with an application in clinical process redesign

D. Nguyen, W. Luo, B. Vo, W. Pedrycz

2020 / Vol. 161, pp. 113670 / Expert Systems with Applications

Improving the Tensile Properties of Wet Spun Silk Fibers Using Rapid Bayesian Algorithm

Y. Yao, B. J. Allardyce, R. Rajkhowa, D. Hegh, A. Sutti, S. Subianto, S. Gupta, S. Rana, S. Greenhill, S. Venkatesh, others

2020 / Vol. 6, pp. 3197 - 3207 / ACS Biomaterials Science & Engineering

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, others

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

Level Set Estimation with Search Space Warping

M. Senadeera, S. Rana, S. Gupta, S. Venkatesh

2020 / pp. 827 - 839 / Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)

Length Scale Warping for Level Set Estimation

M. Senadeera, S. Rana, S. Gupta, S. Venkatesh

2020 / 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining

Incorporating Expert Prior in Bayesian Optimisation via Space Warping

A. Ramachandran, S. Gupta, S. Rana, C. Li, S. Venkatesh

2020 / Vol. 195, pp. 105663 / Knowledge-Based Systems

Bayesian Optimization for Categorical and Category-Specific Continuous Inputs

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

2020 / Vol. 34, pp. 5256 - 5263 / Proceedings of the AAAI Conference on Artificial Intelligence

Distributionally Robust Bayesian Quadrature Optimization

T. Nguyen, S. Gupta, H. Ha, S. Rana, S. Venkatesh

2020 / pp. 1921 - 1931 / Proceeedings of the International Conference on Artificial Intelligence and Statistics (AISTATS)