City Research Online

Items where Author is "Das, S."

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Number of items: 6.

Article

Groce, A., Kulesza, T., Zhang, C., Shamasunder, S., Burnett, M., Wong, W-K, Stumpf, S., Das, S., Shinsel, A., Bice, F. and McIntosh, K. (2014). You are the only possible oracle: Effective test selection for end users of interactive machine learning systems. IEEE Transactions on Software Engineering, 40(3), pp. 307-323. doi: 10.1109/TSE.2013.59

Das, S., Moore, T., Wong, W-K, Stumpf, S., Oberst, I., McIntosh, K. and Burnett, M. (2013). End-user feature labeling: Supervised and semi-supervised approaches based on locally-weighted logistic regression. Artificial Intelligence, 204, pp. 56-74. doi: 10.1016/j.artint.2013.08.003

Pal, A., Dhar, A., Das, S., Chen, S. Y., Sun, T., Sen, R. and Grattan, K. T. V. (2010). Ytterbium-sensitized Thulium-doped fiber laser in the near-IR with 980 nm pumping. Optics Express, 18(5), pp. 5068-5074. doi: 10.1364/OE.18.005068

Book Section

Wong, W-K., Oberst, I., Das, S., Moore, T., Stumpf, S., McIntosh, K. and Burnett, M. (2011). End-User Feature Labeling via Locally Weighted Logistic Regression. In: Burgard, W. and Roth, D. (Eds.), Proceedings of the Twenty-Fifth AAAI conference on Artificial Intelligence. (pp. 1575-1578). USA: AAAI Press. ISBN 9781577355076

Wong, W-K, Oberst, I., Das, S., Moore, T., Stumpf, S., McIntosh, K. and Burnett, M. (2011). End-user feature labeling: a locally-weighted regression approach. In: Pu, P., Pazzani, M. J., André, E. and Riecken, D. (Eds.), Proceedings of the 16th international conference on Intelligent user interfaces. (pp. 115-124). New York: ACM. ISBN 978-1-4503-0419-1

Conference or Workshop Item

Kulesza, T., Burnett, M., Stumpf, S., Wong, W., Das, S., Groce, A., Shinsel, A., Bice, F. and McIntosh, K. (2011). Where Are My Intelligent Assistant's Mistakes? A Systematic Testing Approach. Paper presented at the Third International Symposium on End-User Development (IS-EUD), 07 - 10 June 2011, Torre Canne, Italy.

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