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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

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)

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