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Accelerating Experimental Design by Incorporating Experimenter Hunches.

C. Li, S. Rana, S. Gupta, V. Nguyen, S. Venkatesh, A. Sutti, C. de, T. Slezak, M. Height, M. Mohammed, O.

2018 / pp. 257 - 266 / 2018 IEEE International Conference on Data Mining (ICDM)

Guidelines for developing and reporting machine learning predictive models in biomedical research: a multidisciplinary view

W. Luo, D. Phung, T. Tran, S. Gupta, S. Rana, C. Karmakar, A. Shilton, J. Yearwood, N. Dimitrova, T. Ho, O.

2016 / Vol. 18, pp. e323 / Journal of medical Internet research

Randomised controlled trial of an iPad based early intervention for autism: TOBY playpad study protocol

J. Granich, A. Dass, M. Busacca, D. Moore, A. Anderson, S. Venkatesh, T. Duong, P. Vellanki, A. Richdale, D. Trembath, O.

2016 / Vol. 16, pp. 167 / BMC pediatrics

Towards Discovery of Influence and Personality Traits through Social Link Prediction.

T. Nguyen, D. Phung, B. Adams, S. Venkatesh, O.

2011 / pp. 566 - 569 / ICWSM: 5th AAAI International Conference on Weblogs and Social Media

Probabilistic Models over Ordered Partitions with Applications in Document Ranking and Collaborative Filtering

T. Tran, D. Phung, S. Venkatesh, O.

2011 / pp. 426 - 437 / Proceedings of the 2011 SIAM International Conference on Data Mining (SDM)