| AHW-BGOA-DNN: A novel deep learning model for epileptic seizure detection HA Glory, C Vigneswaran, SS Jagtap, R Shruthi, G Hariharan, VSS Sriram Neural Computing and Applications 33, 6065-6093, 2021 | 26 | 2021 |
| Unsupervised bin-wise pre-training: A fusion of information theory and hypergraph C Vigneswaran, SS VS Knowledge-Based Systems 195, 105650, 2020 | 9 | 2020 |
| Identification of suitable basis wavelet function for epileptic seizure detection using EEG signals H Anila Glory, C Vigneswaran, VS Shankar Sriram First International Conference on Sustainable Technologies for Computational …, 2020 | 6 | 2020 |
| The flip-flop neuron: a memory efficient alternative for solving challenging sequence processing and decision-making problems S Kumari, V Chandrasekaran, VS Chakravarthy Neural Computing and Applications 35 (34), 24543-24559, 2023 | 4 | 2023 |
| A generalized reinforcement learning based deep neural network agent model for diverse cognitive constructs SS Nair, VR Muddapu, C Vigneswaran, PP Balasubramani, ... Scientific Reports 13 (1), 5928, 2023 | 3 | 2023 |
| A Basal Ganglia model for understanding working memory functions in healthy and Parkinson’s conditions C Vigneswaran, SS Nair, VS Chakravarthy Cognitive Neurodynamics, 1-17, 2024 | 1 | 2024 |
| An end-to-end, interactive deep learning based annotation system for cursive and print English handwritten text P Guruprasad, S Sujith Kumar, C Vigneswaran, VS Chakravarthy ICDSMLA 2020: Proceedings of the 2nd International Conference on Data …, 2022 | 1 | 2022 |
| Flip Flop Neural Networks: Modelling Memory for Efficient Forecasting S Sujith Kumar, C Vigneswaran, V Srinivasa Chakravarthy Machine Learning, Deep Learning and Computational Intelligence for Wireless …, 2021 | | 2021 |
