614 citations · 1.3k across the 16 of their papers we have counts for
Showing 2018Show all
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cs.CV2018★ 19 cited
Learning to Unlearn: Building Immunity to Dataset Bias in Medical Imaging Studies
Ahmed Ashraf, Shehroz Khan, Nikhil Bhagwat +2
Medical imaging machine learning algorithms are usually evaluated on a single dataset. Although training and testing are performed on different subsets of the dataset, models built…
cs.LG2018★ 259 cited
Survey of state-of-the-art mixed data clustering algorithms
Amir Ahmad, Shehroz S. Khan
Mixed data comprises both numeric and categorical features, and mixed datasets occur frequently in many domains, such as health, finance, and marketing. Clustering is often applied…
cs.LG2018★ 9 cited
Bootstrapping and Multiple Imputation Ensemble Approaches for Missing Data
Shehroz S. Khan, Amir Ahmad, Alex Mihailidis
Presence of missing values in a dataset can adversely affect the performance of a classifier. Single and Multiple Imputation are normally performed to fill in the missing values. I…