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Vinay Jayaram
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2020 – today
- 2022
- [i4]Xiaoxi Wei, A. Aldo Faisal, Moritz Grosse-Wentrup, Alexandre Gramfort, Sylvain Chevallier, Vinay Jayaram, Camille Jeunet, Stylianos Bakas, Siegfried Ludwig, Konstantinos Barmpas, Mehdi Bahri, Yannis Panagakis, Nikolaos A. Laskaris, Dimitrios A. Adamos, Stefanos Zafeiriou, William C. Duong, Stephen M. Gordon, Vernon J. Lawhern, Maciej Sliwowski, Vincent Rouanne, Piotr Tempczyk:
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets. CoRR abs/2202.12950 (2022) - 2021
- [j2]Samuel Bustamante
, Jan Peters
ArmSym: A Virtual Human-Robot Interaction Laboratory for Assistive Robotics. IEEE Trans. Hum. Mach. Syst. 51(6): 568-577 (2021) - [c12]Xiaoxi Wei
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets. NeurIPS (Competition and Demos) 2021: 205-219
2010 – 2019
- 2019
- [c11]Jiachen Xu
Interpretable Riemannian Classification in Brain-Computer Interfacing. GBCIC 2019 - [c10]Jiachen Xu, Vinay Jayaram, Bernhard Schölkopf, Moritz Grosse-Wentrup
Feature extraction from the Hermitian manifold for Brain-Computer Interfaces. NER 2019: 965-968 - [i3]Jiachen Xu, Moritz Grosse-Wentrup, Vinay Jayaram:
Tangent space spatial filters for interpretable and efficient Riemannian classification. CoRR abs/1909.10567 (2019) - 2018
- [b1]Vinay Jayaram:
A machine learning approach to taking EEG-based brain-computer interfaces out of the lab. University of Tübingen, Germany, 2018 - [i2]Vinay Jayaram, Alexandre Barachant:
MOABB: Trustworthy algorithm benchmarking for BCIs. CoRR abs/1805.06427 (2018) - 2017
- [c9]Karl-Heinz Fiebig, Vinay Jayaram, Thomas Hesse, Alexander Blank, Jan Peters, Moritz Grosse-Wentrup:
Bayesian Regression for Artifact correction in Electroencephalography. GBCIC 2017 - [c8]Vinay Jayaram
Frequency peak features for low-channel classification in motor imagery paradigms. NER 2017: 321-324 - 2016
- [j1]Vinay Jayaram
Transfer Learning in Brain-Computer Interfaces Abstract\uFFFDThe performance of brain-computer interfaces (BCIs) improves with the amount of avail. IEEE Comput. Intell. Mag. 11(1): 20-31 (2016) - [c7]Karl-Heinz Fiebig, Vinay Jayaram
Multi-task logistic regression in brain-computer interfaces. SMC 2016: 2307-2312 - 2015
- [c6]Vinay Jayaram
Brain-computer interfacing in amyotrophic lateral sclerosis: Implications of a resting-state EEG analysis. EMBC 2015: 6979-6982 - [c5]Matthias R. Hohmann, Tatiana Fomina, Vinay Jayaram
A Cognitive Brain-Computer Interface for Patients with Amyotrophic Lateral Sclerosis. SMC 2015: 3187-3191 - [i1]Vinay Jayaram, Morteza Alamgir, Yasemin Altun, Bernhard Schölkopf, Moritz Grosse-Wentrup:
Transfer Learning in Brain-Computer Interfaces. CoRR abs/1512.00296 (2015)
2000 – 2009
- 2007
- [c4]Nisar Ahmed, Mohammad Tehranipoor, Vinay Jayaram:
Transition Delay Fault Test Pattern Generation Considering Supply Voltage Noise in a SOC Design. DAC 2007: 533-538 - [c3]Nisar Ahmed, Mohammad Tehranipoor, Vinay Jayaram:
Supply Voltage Noise Aware ATPG for Transition Delay Faults. VTS 2007: 179-186 - 2006
- [c2]Nisar Ahmed, Mohammad Tehranipoor, Vinay Jayaram:
Timing-based delay test for screening small delay defects. DAC 2006: 320-325 - [c1]Nisar Ahmed, Mohammad Tehranipoor, Vinay Jayaram:
A novel framework for faster-than-at-speed delay test considering IR-drop effects. ICCAD 2006: 198-203
Coauthor Index
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