12 citations · 22 across the 3 of their papers we have counts for
4 papers
XALIGN: A Human-centric Visual Analytics Approach to Understanding AI Explanations
Bahavathy Kathirgamanathan, Gennady Andrienko, Natalia Andrienko +1
Explainable AI (XAI) methods are usually evaluated for technical properties such as faithfulness and robustness. In high-stakes application domains, experts also need to check mode…
Correlation Based Feature Subset Selection for Multivariate Time-Series Data
Bahavathy Kathirgamanathan, Padraig Cunningham
Correlations in streams of multivariate time series data means that typically, only a small subset of the features are required for a given data mining task. In this paper, we prop…
Feature Selection Tutorial with Python Examples
Padraig Cunningham, Bahavathy Kathirgamanathan, Sarah Jane Delany
In Machine Learning, feature selection entails selecting a subset of the available features in a dataset to use for model development. There are many motivations for feature select…
A Feature Selection Method for Multi-Dimension Time-Series Data
Bahavathy Kathirgamanathan, Padraig Cunningham
Time-series data in application areas such as motion capture and activity recognition is often multi-dimension. In these application areas data typically comes from wearable sensor…