Performance analysis of NASNet on unconstrained ear recognition K Radhika, K Devika, T Aswathi, P Sreevidya, V Sowmya, KP Soman Nature inspired computing for data science, 57-82, 2020 | 64 | 2020 |
Multimodal hierarchical CNN feature fusion for stress detection R Kuttala, R Subramanian, VRM Oruganti IEEE Access 11, 6867-6878, 2023 | 42 | 2023 |
Deep multimodal fusion for subject-independent stress detection K Radhika, VRM Oruganti 2021 11th International conference on cloud computing, data science …, 2021 | 27 | 2021 |
A text classification model using convolution neural network and recurrent neural network K Radhika, KR Bindu, L Parameswaran International journal of pure and applied mathematics 119 (15), 1549-1554, 2018 | 22 | 2018 |
Transfer learning for subject-independent stress detection using physiological signals K Radhika, VRM Oruganti 2020 IEEE 17th India Council International Conference (INDICON), 1-6, 2020 | 20 | 2020 |
Joint modality features in frequency domain for stress detection K Radhika, R Subramanian, VRM Oruganti IEEE Access 10, 57201-57211, 2022 | 11 | 2022 |
Stress detection using CNN fusion K Radhika, VRM Oruganti TENCON 2021-2021 IEEE Region 10 Conference (TENCON), 492-497, 2021 | 6 | 2021 |
Nature Inspired Computing for Data Science K Radhika, K Devika, T Aswathi, P Sreevidya, V Sowmya, KP Soman Springer, 2020 | 6 | 2020 |
Hierarchical Autoencoder Frequency Features for Stress Detection R Kuttala, R Subramanian, VRM Oruganti IEEE Access 11, 103232-103241, 2023 | 4 | 2023 |
Cross domain features for subject-independent stress detection K Radhika, VRM Oruganti 2022 IEEE Region 10 Symposium (TENSYMP), 1-6, 2022 | 3 | 2022 |