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ORCIDTharun Kumar Reddy
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2020 – today
- 2024
[j5]Jayasandhya Meenakshinathan, Vinay Gupta, Tharun Kumar Reddy
, Laxmidhar Behera, Tushar Sandhan:
Session-independent subject-adaptive mental imagery BCI using selective filter-bank adaptive Riemannian features. Medical Biol. Eng. Comput. 62(11): 3293-3310 (2024)- [c13]Srikireddy Dhanunjay Reddy, Tharun Kumar Reddy:
GM-VRC: Semantic Topological Data Ensemble Approach for EEG Signal Classification. ICASSP 2024: 1971-1975 - [c12]Adarsh V. Parekkattil, Sanjeev Kumar Varun, Tharun Kumar Reddy:
EEG-Based Reaction Time Prediction Using Covariance Augmented 2D Convolutional Neural Network. ICPR (27) 2024: 296-310 - [c11]Srikireddy Dhanunjay Reddy, Tharun Kumar Reddy, Hiroshi Higashi:
Chromatic Alpha Complex Generation for EEG Signal Classification. NCC 2024: 1-5 - 2023
- [c10]Swati Singh, Vinay Gupta, Tharun Kumar Reddy, Laxmidhar Behera, Suvendu Samanta:
Meditative State Classification Using Neuronal Multi-IMF Band Power and Complexity Features. NCC 2023: 1-6 - 2022
- [j4]Tharun Kumar Reddy, Vipul Arora, Vinay Gupta, Rupam Biswas, Laxmidhar Behera:
EEG-Based Drowsiness Detection With Fuzzy Independent Phase-Locking Value Representations Using Lagrangian-Based Deep Neural Networks. IEEE Trans. Syst. Man Cybern. Syst. 52(1): 101-111 (2022) - [c9]Vinay Gupta, Jayasandhya Meenakshinathan, Tharun Kumar Reddy, Laxmidhar Behera:
Performance study of Neural Structured Learning using Riemannian Features for BCI Classification. NCC 2022: 297-301 - [c8]Vartika Gupta, Tushar P. Kendre, Tharun Kumar Reddy, Vipul Arora:
Comparative Performance Analysis of Scalp EEG and Ear EEG based P300 Ambulatory Brain-Computer Interfaces using Riemannian Geometry and Convolutional Neural Networks. NCC 2022: 314-319 - [c7]Swati Singh, Vinay Gupta, Tharun Kumar Reddy, Braj Bhushan, Laxmidhar Behera:
Meditation and Cognitive Enhancement: A Machine Learning Based Classification Using EEG. SMC 2022: 1973-1978 - 2021
- [c6]Tharun Kumar Reddy, Yu-Kai Wang, Chin-Teng Lin, Javier Andreu-Perez:
Joint Approximate Diagonalization Divergence Based Scheme for EEG Drowsiness Detection Brain Computer Interfaces. FUZZ-IEEE 2021: 1-6 - 2020
- [j3]Tharun Kumar Reddy, Vipul Arora, Laxmidhar Behera:
HJB-Equation-Based Optimal Learning Scheme for Neural Networks With Applications in Brain-Computer Interface. IEEE Trans. Emerg. Top. Comput. Intell. 4(2): 159-170 (2020) - [c5]Tharun Kumar Reddy, Vipul Arora, Laxmidhar Behera, Yu-Kai Wang, Chin-Teng Lin:
Fuzzy Divergence Based Analysis for Eeg Drowsiness Detection Brain Computer Interfaces. FUZZ-IEEE 2020: 1-7 - [c4]Satyam Kumar, Tharun Kumar Reddy, Vipul Arora, Laxmidhar Behera:
Formulating Divergence Framework for Multiclass Motor Imagery EEG Brain Computer Interface. ICASSP 2020: 1344-1348
2010 – 2019
- 2019
- [j2]Tharun Kumar Reddy, Vipul Arora, Satyam Kumar, Laxmidhar Behera, Yu-Kai Wang, Chin-Teng Lin:
Electroencephalogram Based Reaction Time Prediction With Differential Phase Synchrony Representations Using Co-Operative Multi-Task Deep Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. 3(5): 369-379 (2019) - [j1]Tharun Kumar Reddy, Vipul Arora, Laxmidhar Behera, Yu-Kai Wang, Chin-Teng Lin:
Multiclass Fuzzy Time-Delay Common Spatio-Spectral Patterns With Fuzzy Information Theoretic Optimization for EEG-Based Regression Problems in Brain-Computer Interface (BCI). IEEE Trans. Fuzzy Syst. 27(10): 1943-1951 (2019) - [i1]Satyam Kumar, Tharun Kumar Reddy, Laxmidhar Behera:
Divergence Framework for EEG based Multiclass Motor Imagery Brain Computer Interface. CoRR abs/1901.07457 (2019) - 2018
- [c3]Satyam Kumar, Tharun Kumar Reddy, Laxmidhar Behera:
EEG Based Motor Imagery Classification Using Instantaneous Phase Difference Sequence. SMC 2018: 499-504 - 2017
- [c2]Vipul Arora, Laxmidhar Behera, Tharun Kumar Reddy, Ajay Pratap Yadav:
HJB equation based learning scheme for neural networks. IJCNN 2017: 2298-2305 - 2016
- [c1]Tharun Kumar Reddy, Laxmidhar Behera:
Online Eye state recognition from EEG data using Deep architectures. SMC 2016: 712-717
Coauthor Index
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