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Sriram Ravindran
Sriram Ravindran
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Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Deep Recurrent convolutional neural networks for classifying P300 BCI signals.
R Maddula, J Stivers, M Mousavi, S Ravindran, V de Sa
GBCIC 201, 18-22, 2017
662017
Keystroke user recognition through extreme learning machine and evolving cluster method
S Ravindran, C Gautam, A Tiwari
2015 IEEE International Conference on Computational Intelligence and …, 2015
102015
Utilizing a time-dependent graph convolutional neural network for fraudulent transaction identification
S Shekhar, D Pai, S Ravindran
US Patent 11,403,643, 2022
62022
Entity resolution in dynamic heterogeneous networks
S Shekhar, D Pai, S Ravindran
Companion Proceedings of the Web Conference 2020, 662-668, 2020
62020
Construction of multi-class classifiers by extreme learning machine based one-class classifiers
C Gautam, A Tiwari, S Ravindran
2016 International Joint Conference on Neural Networks (IJCNN), 2001-2007, 2016
32016
SEMPART: Self-supervised Multi-resolution Partitioning of Image Semantics
S Ravindran, D Basu
Proceedings of the IEEE/CVF International Conference on Computer Vision, 723-733, 2023
22023
Multiple Attribute Fairness: Application to Fraud Detection
S Ravindran, D Pai, A Narang, V Srivastava
arXiv preprint arXiv:2207.14355, 2022
12022
Reducing bias in machine learning models utilizing a fairness deviation constraint and decision matrix
MM Yadagiri, A Narang, D Pai, S Ravindran, V Srivastava
US Patent App. 17/805,377, 2023
2023
Multiple Attribute Fairness: Application to Fraud Detection
M Macha Y, S Ravindran, D Pai, A Narang, V Srivastava
arXiv e-prints, arXiv: 2207.14355, 2022
2022
Multiple Attribute Fairness: Application to Fraud Detection
MY Meghanath, S Ravindran, D Pai, A Narang, V Srivastava
2022
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