1 citations · 1 across the 4 of their papers we have counts for
4 papers
Model-free feature selection to facilitate automatic discovery of divergent subgroups in tabular data
Girmaw Abebe Tadesse, William Ogallo, Celia Cintas +1
Data-centric AI encourages the need of cleaning and understanding of data in order to achieve trustworthy AI. Existing technologies, such as AutoML, make it easier to design and tr…
Sparsity-based Feature Selection for Anomalous Subgroup Discovery
Girmaw Abebe Tadesse, William Ogallo, Catherine Wanjiru +5
Anomalous pattern detection aims to identify instances where deviation from normalcy is evident, and is widely applicable across domains. Multiple anomalous detection techniques ha…
Automated Supervised Feature Selection for Differentiated Patterns of Care
Catherine Wanjiru, William Ogallo, Girmaw Abebe Tadesse +3
An automated feature selection pipeline was developed using several state-of-the-art feature selection techniques to select optimal features for Differentiating Patterns of Care (D…
Disease Progression Modeling Workbench 360
Parthasarathy Suryanarayanan, Prithwish Chakraborty, Piyush Madan +9
In this work we introduce Disease Progression Modeling workbench 360 (DPM360) opensource clinical informatics framework for collaborative research and delivery of healthcare AI. DP…