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ORCIDBhargavi Mahesh
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2020 – today
- 2024
[c4]Mohamed Benouis, Bhargavi Mahesh, Elisabeth André, Yekta Said Can:
Enhancing Client Privacy in Physiology-Based Biometric Verification with Differential Privacy and Positive-Label Federated Learning. IWBF 2024: 1-6- [i1]Pooja Prajod, Bhargavi Mahesh, Elisabeth André:
Stressor Type Matters! - Exploring Factors Influencing Cross-Dataset Generalizability of Physiological Stress Detection. CoRR abs/2405.09563 (2024) - 2023
- [j2]Yekta Said Can
, Bhargavi Mahesh, Elisabeth André:
Approaches, Applications, and Challenges in Physiological Emotion Recognition - A Tutorial Overview. Proc. IEEE 111(10): 1287-1313 (2023) - [c3]Bhargavi Mahesh, Andreas Seiderer, Michael Dietz, Elisabeth André, Jonathan Simon, Joachim Rathmann, Christoph Beck, Yekta Said Can:
Investigating Psychological and Physiological Effects of Forest Walking: A Machine Learning Approach. ACIIW 2023: 1-8 - 2021
- [j1]Martin Gjoreski, Bhargavi Mahesh, Tine Kolenik, Jens-Uwe Garbas, Dominik Seuss, Hristijan Gjoreski, Mitja Lustrek, Matjaz Gams, Veljko Pejovic:
Cognitive Load Monitoring With Wearables-Lessons Learned From a Machine Learning Challenge. IEEE Access 9: 103325-103336 (2021) - [c2]Bitan Saha, Linda Becker, Jens-Uwe Garbas, Maximilian P. Oppelt, Andreas Foltyn, Sebastian Hettenkofer, Nadine Lang, Matthias Struck, Nicolas Rohleder, Bhargavi Mahesh:
Investigation of Relation between Physiological Responses and Personality during Stress Recovery. PerCom Workshops 2021: 57-62
2010 – 2019
- 2019
- [c1]Bhargavi Mahesh, Erwin Prassler, Teena Hassan, Jens-Uwe Garbas:
Requirements for a Reference Dataset for Multimodal Human Stress Detection. PerCom Workshops 2019: 492-498
Coauthor Index
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