CEFEs: A CNN Explainable Framework for ECG Signals. - Barbara Mukami Maweu; Sagnik Dakshit; Rittika Shamsuddin; Balakrishnan Prabhakaran 001 (Artif. Intell. Medicine, 2021)

Generating Healthcare Time Series Data for Improving Diagnostic Accuracy of Deep Neural Networks. - Barbara Mukami Maweu; Rittika Shamsuddin; Sagnik Dakshit; Balakrishnan Prabhakaran 001 (IEEE Trans. Instrum. Meas., 2021)

Core-set Selection Using Metrics-based Explanations (CSUME) for multiclass ECG. - Sagnik Dakshit; Barbara Mukami Maweu; Sristi Dakshit; Balakrishnan Prabhakaran 001 (ICHI, 2022)

CVAE-based Generator for Variable Length Synthetic ECG. - Sagnik Dakshit; Balakrishnan Prabhakaran 001 (ICHI, 2023)

Twelve Lead Double Stacked Generalization for ECG Classification. - Sagnik Dakshit; Balakrishnan Prabhakaran 001 (ICHI, 2023)

Bias Analysis in Healthcare Time Series (BAHT) Decision Support Systems from Meta Data. - Sagnik Dakshit; Sristi Dakshit; Ninad Khargonkar; Balakrishnan Prabhakaran 001 (J. Heal. Informatics Res., 2023)

Explanations of Augmentation Methods for Deep Learning ECG Classification. - Nikil Sharan Prabahar Balasubramanian; Sagnik Dakshit (AIME (2), 2024)

Abstaining ECG Classifiers Through Explainable Prototypical Spaces. - Sagnik Dakshit (ICHI, 2024)

Faculty Perspectives on the Potential of RAG in Computer Science Higher Education. - Sagnik Dakshit (SIGITE, 2024)

Can Public LLMs be used for Self-Diagnosis of Medical Conditions ? - Nikil Sharan Prabahar Balasubramanian; Sagnik Dakshit (CoRR, 2024)

Attentiveness in Virtual Reality Based on Body Joint Positions. - Vinayak Venugopal; Sagnik Dakshit (AIxVR, 2025)

Effect of Sampling Rate on ECG Deep Learning Classifiers. - Sristi Dakshit; Sagnik Dakshit; Balakrishnan Prabhakaran 001 (ICHI, 2025)

Cross-Modality Investigation on WESAD Stress Classification. - Eric Oliver; Sagnik Dakshit (CoRR, 2025)