37 citations · 40 across the 8 of their papers we have counts for
4 papers · 1 filter
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…
Towards creativity characterization of generative models via group-based subset scanning
Celia Cintas, Payel Das, Brian Quanz +3
Deep generative models, such as Variational Autoencoders (VAEs), have been employed widely in computational creativity research. However, such models discourage out-of-distribution…
Prediction of neonatal mortality in Sub-Saharan African countries using data-level linkage of multiple surveys
Girmaw Abebe Tadesse, Celia Cintas, Skyler Speakman +1
Existing datasets available to address crucial problems, such as child mortality and family planning discontinuation in developing countries, are not ample for data-driven approach…
Identifying Audio Adversarial Examples via Anomalous Pattern Detection
Victor Akinwande, Celia Cintas, Skyler Speakman +1
Audio processing models based on deep neural networks are susceptible to adversarial attacks even when the adversarial audio waveform is 99.9% similar to a benign sample. Given the…