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2020 – today
- 2024
[b1]Ekansh Gupta:
Transfer learning for brain signals using optimal transport. Georgia Institute of Technology, Atlanta, GA, USA, 2024- [c5]Ekansh Gupta, Cheng-Yeh Chen, Raghupathy Sivakumar:
Do Weak Brain Signals Get Amplified When Strong Brain Signals are Evoked? PerCom Workshops 2024: 612-618 - [d1]Mohit Agarwal
, Ekansh Gupta, Raghupathy Sivakumar:
EEG Error Related Potential signal using an atari-based maze game - BCI ErrP Dataset. IEEE DataPort, 2024
- 2023
- [c4]Ekansh Gupta, Mohit Agarwal, Raghupathy Sivakumar:
Transfer Learning for Brain-Computer Interfaces in Cyber-Physical Systems. ANTS 2023: 126-131 - [c3]Ekansh Gupta, Cheng-Yeh Chen, Raghupathy Sivakumar:
Hyper-Accelerated Learning for Brain-Computer Interfaces via Partial Target-Aware Optimal Transport. SmartWear@MobiCom 2023: 21-27 - 2022
- [c2]Ekansh Gupta, Raghupathy Sivakumar:
Wisdom of the Crowd: Using Multi-human Few-shot Learning to Improve Cross- User Generalization for Error Potentials in BCI Systems. IJCNN 2022: 1-8 - 2021
- [j1]Duo Xu, Mohit Agarwal, Ekansh Gupta, Faramarz Fekri, Raghupathy Sivakumar:
Accelerating Reinforcement Learning using EEG-based implicit human feedback. Neurocomputing 460: 139-153 (2021) - 2020
- [c1]Ekansh Gupta, Mohit Agarwal, Raghupathy Sivakumar:
Blink to Get In: Biometric Authentication for Mobile Devices using EEG Signals. ICC 2020: 1-6
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