Sagnik Dakshit

According to our database, Sagnik Dakshit authored at least 13 papers between 2021 and 2025.

Collaborative distances:

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

2025

Cross-Modality Investigation on WESAD Stress Classification.

Eric Oliver, Sagnik Dakshit

CoRR, February, 2025

Effect of Sampling Rate on ECG Deep Learning Classifiers.

Sristi Dakshit, Sagnik Dakshit, Balakrishnan Prabhakaran

Proceedings of the 13th IEEE International Conference on Healthcare Informatics, 2025

Attentiveness in Virtual Reality Based on Body Joint Positions.

Vinayak Venugopal, Sagnik Dakshit

Proceedings of the 2025 IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality (AIxVR), 2025

2024

Can Public LLMs be used for Self-Diagnosis of Medical Conditions ?

Nikil Sharan Prabahar Balasubramanian, Sagnik Dakshit

CoRR, 2024

Faculty Perspectives on the Potential of RAG in Computer Science Higher Education.

Sagnik Dakshit

Proceedings of the 25th Annual Conference on Information Technology Education, 2024

Abstaining ECG Classifiers Through Explainable Prototypical Spaces.

Sagnik Dakshit

Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

Explanations of Augmentation Methods for Deep Learning ECG Classification.

Nikil Sharan Prabahar Balasubramanian, Sagnik Dakshit

Proceedings of the Artificial Intelligence in Medicine - 22nd International Conference, 2024

2023

Bias Analysis in Healthcare Time Series (BAHT) Decision Support Systems from Meta Data.

Sagnik Dakshit, Sristi Dakshit, Ninad Khargonkar, Balakrishnan Prabhakaran

J. Heal. Informatics Res., June, 2023

Twelve Lead Double Stacked Generalization for ECG Classification.

Sagnik Dakshit, Balakrishnan Prabhakaran

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

CVAE-based Generator for Variable Length Synthetic ECG.

Sagnik Dakshit, Balakrishnan Prabhakaran

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

2022

Core-set Selection Using Metrics-based Explanations (CSUME) for multiclass ECG.

Sagnik Dakshit, Barbara Mukami Maweu, Sristi Dakshit, Balakrishnan Prabhakaran

Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

2021

Generating Healthcare Time Series Data for Improving Diagnostic Accuracy of Deep Neural Networks.

Barbara Mukami Maweu, Rittika Shamsuddin, Sagnik Dakshit, Balakrishnan Prabhakaran

IEEE Trans. Instrum. Meas., 2021

CEFEs: A CNN Explainable Framework for ECG Signals.

Barbara Mukami Maweu, Sagnik Dakshit, Rittika Shamsuddin, Balakrishnan Prabhakaran

Artif. Intell. Medicine, 2021