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10/12/2022
Feasible and Desirable Counterfactual Generation by Preserving Human Defined Constraints
We present a human-in-the-loop approach to generate counterfactual (CF) ...
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10/21/2019
Making Bayesian Predictive Models Interpretable: A Decision Theoretic Approach
A salient approach to interpretable machine learning is to restrict mode...
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02/26/2019
Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets
Learning predictive models from small high-dimensional data sets is a ke...
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05/09/2017
Improving drug sensitivity predictions in precision medicine through active expert knowledge elicitation
Predicting the efficacy of a drug for a given individual, using high-dim...
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02/25/2017
An EM Based Probabilistic Two-Dimensional CCA with Application to Face Recognition
Recently, two-dimensional canonical correlation analysis (2DCCA) has bee...
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05/20/2015