Sharath M Shankaranarayana
Indian Institute of Technology Madras
H-index: 10
Asia-India
Top articles of Sharath M Shankaranarayana
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
A Hybrid Sampling Methodology Based Cost Effective Active Learning for Tabular Data | Sharath M Shankaranarayana Anubhab Samal Chikka Veera Raghavendra Vijay Sankar Arindam Dey | 2024/2/16 | |
Model Uncertainty based Active Learning on Tabular Data using Boosted Trees | arXiv preprint arXiv:2310.19573 | Sharath M Shankaranarayana | 2023/10/30 |
Constrained monotonic neural networks | Davor Runje Sharath M Shankaranarayana | 2023/7/3 | |
Implementing monotonic constrained neural network layers using complementary activation functions | 2023/1/10 | ||
Adam challenge: Detecting age-related macular degeneration from fundus images | IEEE transactions on medical imaging | Huihui Fang Fei Li Huazhu Fu Xu Sun Xingxing Cao | 2022/5/4 |
Attention augmented convolutional transformer for tabular time-series | Sharath M Shankaranarayana Davor Runje | 2021/12/7 | |
Hybrid analysis framework for prediction of outcomes in clinical trials | 2021/8/24 | ||
Multimodal learning framework for analysis of clinical trials | 2021/4/6 | ||
Local interpretability using autoencoder | 2021/3/18 | ||
Fundus Image Analysis for Age Related Macular Degeneration: ADAM-2020 Challenge Report | arXiv preprint arXiv:2009.01548 | Sharath M Shankaranarayana | 2020/9/3 |
Monocular Retinal Depth Estimation and Joint Optic Disc and Cup Segmentation using Adversarial Networks | arXiv preprint arXiv:2007.07502 | Sharath M Shankaranarayana Keerthi Ram Kaushik Mitra Mohanasankar Sivaprakasam | 2020/7/15 |
Automated heuristic deep learning-based modelling | 2020/5/28 | ||
A context based deep learning approach for unbalanced medical image segmentation | Balamurali Murugesan Kaushik Sarveswaran Sharath M Shankaranarayana Keerthi Ram Mohanasankar Sivaprakasam | 2020/4/3 | |
Artificial intelligence enabled assessment of damage to automobiles | 2020/4/2 | ||
Refuge challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs | A Diaz-Pinto Y Xu X Li J Wu X Zhang | 2020/3/17 |
Co-Authors
