Bahavathy Kathirgamanathan

According to our database, Bahavathy Kathirgamanathan authored at least 13 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

From Prediction to Insight: Visual Analytics for Understanding Compound Potency Models.

Bahavathy Kathirgamanathan, Tiago Janela, Elena Xerxa, Gennady L. Andrienko, Jürgen Bajorath, Natalia V. Andrienko

IEEE Computer Graphics and Applications, 2026

2025

Integrating human knowledge for explainable AI.

Eleonora Cappuccio, Bahavathy Kathirgamanathan, Salvatore Rinzivillo, Gennady L. Andrienko, Natalia V. Andrienko

Mach. Learn., November, 2025

Rule vs. SHAP: Complementary Tools for Understanding and Verifying ML Models.

Bahavathy Kathirgamanathan, Gennady L. Andrienko, Natalia V. Andrienko

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025

A Hybrid Human-Centric approach to combining Rule-based and Attribute based Explanations.

Bahavathy Kathirgamanathan, Gennady L. Andrienko, Natalia V. Andrienko

Proceedings of the Workshops at the Fourth International Conference on Hybrid Human-Artificial Intelligence co-located with the Fourth International Conference on Hybrid Human-Artificial Intelligence (HHAI 2025), 2025

2024

Developing Human-Centric Machine Learning Models for Temporal Data.

Bahavathy Kathirgamanathan, Eleonora Cappuccio, Salvatore Rinzivillo, Gennady L. Andrienko, Natalia V. Andrienko

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024

Generating Explanatory Rules for Temporal Data Using Prior Knowledge.

Eleonora Cappuccio, Bahavathy Kathirgamanathan, Salvatore Rinzivillo, Gennady L. Andrienko, Natalia V. Andrienko

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024

2023

Explaining Fatigue in Runners Using Time Series Analysis on Wearable Sensor Data.

Bahavathy Kathirgamanathan, Thu Trang Nguyen, Brian Caulfield, Georgiana Ifrim, Pádraig Cunningham

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

Towards Globalised Models for Exercise Classification using Inertial Measurement Units.

Bahavathy Kathirgamanathan, Brian Caulfield, Pádraig Cunningham

Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023

2022

Feature Subset Selection for Detecting Fatigue in Runners Using Time Series Sensor Data.

Bahavathy Kathirgamanathan, Cillian Buckley, Brian Caulfield, Pádraig Cunningham

Proceedings of the Pattern Recognition and Artificial Intelligence, 2022

2021

Correlation Based Feature Subset Selection for Multivariate Time-Series Data.

Bahavathy Kathirgamanathan, Padraig Cunningham

CoRR, 2021

Feature Selection Tutorial with Python Examples.

Padraig Cunningham, Bahavathy Kathirgamanathan, Sarah Jane Delany

CoRR, 2021

Using Barycenters as Aggregate Representations of Repetition-Based Time-Series Exercise Data.

Bahavathy Kathirgamanathan, James Davenport, Brian Caulfield, Pádraig Cunningham

Proceedings of the Machine Learning and Data Mining for Sports Analytics, 2021

2020

A Feature Selection Method for Multi-dimension Time-Series Data.

Bahavathy Kathirgamanathan, Pádraig Cunningham

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2020