A hierarchical LSTM model with attention for modeling EEG non-stationarity for human decision prediction MM Hasib, T Nayak, Y Huang 2018 IEEE EMBS international conference on biomedical & health informatics …, 2018 | 42 | 2018 |
Asynchronous control of unmanned aerial vehicles using a steady-state visual evoked potential-based brain computer interface L Meriño, T Nayak, P Kolar, G Hall, Z Mao, DJ Pack, Y Huang Brain-Computer Interfaces 4 (1-2), 122-135, 2017 | 24 | 2017 |
Prediction of human performance using electroencephalography under different indoor room temperatures T Nayak, T Zhang, Z Mao, X Xu, L Zhang, DJ Pack, B Dong, Y Huang Brain sciences 8 (4), 74, 2018 | 20 | 2018 |
Target classification in a novel SSVEP-RSVP based BCI gaming system T Nayak, LW Ko, TP Jung, Y Huang 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019 | 19 | 2019 |
On the role of deep learning model complexity in adversarial robustness for medical images D Rodriguez, T Nayak, Y Chen, R Krishnan, Y Huang BMC Medical Informatics and Decision Making 22 (Suppl 2), 160, 2022 | 17 | 2022 |
Prediction of temperature induced office worker's performance during typing task using EEG T Nayak, T Zhang, Z Mao, X Xu, DJ Pack, B Dong, Y Huang 2017 39th annual international conference of the IEEE engineering in …, 2017 | 9 | 2017 |
Detection of control or idle state with a likelihood ratio test in asynchronous SSVEP-based brain-computer interface systems LM Meriño, T Nayak, G Hall, DJ Pack, Y Huang 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 6 | 2016 |
shinyDeepDR: A user-friendly R Shiny app for predicting anti-cancer drug response using deep learning LJ Wang, M Ning, T Nayak, MJ Kasper, SP Monga, Y Huang, Y Chen, ... Patterns 5 (2), 2024 | 1 | 2024 |
A user-friendly R Shiny app for predicting drug response of cancer using deep learning LJ Wang, M Ning, T Nayak, SP Monga, Y Huang, Y Chen, YC Chiu Cancer Research 83 (7_Supplement), 2094-2094, 2023 | | 2023 |
DepLink: an R Shiny app to systematically link genetic and pharmacologic dependencies of cancer T Nayak, LJ Wang, M Ning, G Rubannelsonkumar, E Jin, S Zheng, ... Bioinformatics Advances 3 (1), vbad076, 2023 | | 2023 |
Machine Learning for Neurophysiological and Medical Imaging T Nayak The University of Texas at San Antonio, 2021 | | 2021 |