Uncertainty-aware boosted ensembling in multi-modal settings U Sarawgi, R Khincha, W Zulfikar, S Ghosh, P Maes 2021 International Joint Conference on Neural Networks (IJCNN), 1-9, 2021 | 12 | 2021 |
Why have a unified predictive uncertainty? disentangling it using deep split ensembles U Sarawgi, W Zulfikar, R Khincha, P Maes arXiv preprint arXiv:2009.12406, 2020 | 9 | 2020 |
Ecg signal analysis on an embedded device for sleep apnea detection R Khincha, S Krishnan, R Parveen, N Goveas International Conference on Image and Signal Processing, 377-384, 2020 | 5 | 2020 |
Coviddiagnosis: Deep diagnosis of covid-19 patients using chest x-rays K Mahajan, M Sharma, L Vig, R Khincha, S Krishnan, A Niranjan, T Dash, ... Thoracic Image Analysis: Second International Workshop, TIA 2020, Held in …, 2020 | 5 | 2020 |
Robustness to Missing Features using Hierarchical Clustering with Split Neural Networks R Khincha, U Sarawgi, W Zulfikar, P Maes arXiv preprint arXiv:2011.09596, 2020 | 4 | 2020 |
Uncertainty-Aware Multi-Modal Ensembling for Severity Prediction of Alzheimer's Dementia U Sarawgi, W Zulfikar, R Khincha, P Maes arXiv preprint arXiv:2010.01440, 2020 | 3 | 2020 |
Constructing and evaluating an explainable model for COVID-19 diagnosis from chest X-rays R Khincha, S Krishnan, T Dash, L Vig, A Srinivasan arXiv preprint arXiv:2012.10787, 2020 | 2 | 2020 |
Robustness to missing features using hierarchical clustering with split neural networks (student abstract) R Khincha, U Sarawgi, W Zulfikar, P Maes Proceedings of the AAAI Conference on Artificial Intelligence 35 (18), 15817 …, 2021 | 1 | 2021 |
Network community analysis based enhancement of online discussion forums S Krishnan, R Khincha, N Goveas Proceedings of the 3rd ACM India Joint International Conference on Data …, 2021 | 1 | 2021 |
A Case Study of Transfer of Lesion-Knowledge S Krishnan, R Khincha, L Vig, T Dash, A Srinivasan Interpretable and Annotation-Efficient Learning for Medical Image Computing …, 2020 | 1 | 2020 |