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Vigneswaran Chandrasekaran
Vigneswaran Chandrasekaran
Graduate student
在 smail.iitm.ac.in 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
322021
Unsupervised bin-wise pre-training: A fusion of information theory and hypergraph
C Vigneswaran, SS VS
Knowledge-Based Systems 195, 105650, 2020
92020
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
72020
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
62023
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
32023
Deep Oscillatory Neural Network
NR Rohan, S Ghosh, K Rajendran, VS Chakravarthy
arXiv preprint arXiv:2405.03725, 2024
12024
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
12024
Electroencephalogram (EEG) Classification using a bio-inspired Deep Oscillatory Neural Network
VS Chakravarthy, S Ghosh, C Vigneswaran, NR Rohan
bioRxiv, 2024.05. 24.595714, 2024
12024
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
12022
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
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