Unsupervised learning K Tyagi, C Rane, R Sriram, M Manry Artificial intelligence and machine learning for edge computing, 33-52, 2022 | 17 | 2022 |
Synthetic image augmentation with generative adversarial network for enhanced performance in protein classification R Verma, R Mehrotra, C Rane, R Tiwari, AK Agariya Biomedical Engineering Letters 10, 443-452, 2020 | 15 | 2020 |
Optimizing Performance of Feedforward and Convolutional Neural Networks Through Dynamic Activation Functions C Rane, K Tyagi, M Manry arXiv preprint arXiv:2308.05724, 2023 | 11 | 2023 |
Automated Sizing and Training of Efficient Deep Autoencoders using Second Order Algorithms K Tyagi, C Rane, M Manry arXiv preprint arXiv:2308.06221, 2023 | 10 | 2023 |
Optimal Input Gain: All You Need to Supercharge a Feed-Forward Neural Network C Rane, K Tyagi, S Malalur, Y Shinge, M Manry arXiv preprint arXiv:2303.17732, 2023 | 10 | 2023 |
Regression analysis K Tyagi, C Rane, M Manry Artificial intelligence and machine learning for EDGE computing, 53-63, 2022 | 10 | 2022 |
A novel attention fusion network-based framework to ensemble the predictions of CNNs for lymph node metastasis detection C Rane, R Mehrotra, S Bhattacharyya, M Sharma, M Bhattacharya The Journal of Supercomputing 77, 4201-4220, 2021 | 10 | 2021 |
Multistage Newton’s approach for training radial basis function neural networks K Tyagi, C Rane, B Irie, M Manry SN Computer Science 2, 1-22, 2021 | 8 | 2021 |
Improving neural text style transfer by introducing loss function sequentiality C Rane, G Dias, A Lechervy, A Ekbal Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 5 | 2021 |
MULTILAYER PERCEPTRON WITH ADAPTIVE ACTIVATION FUNCTIONS CA Rane | 2 | 2016 |
Can CodeT5 embeddings be adapted for efficient Code Clone Detection and Retrieval? C Rane, M Tech | | 2022 |
Adaptive Activations and Shift Invariance in Shallow Convolutional Neural Networks CA Rane The University of Texas at Arlington, 2021 | | 2021 |
Dynamic Activations for Neural Net Training C Rane, K Tyagi, T Chugh, N MURALI The Second Tiny Papers Track at ICLR 2024, 0 | | |