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Browsing by Author Krishnan, N.C.
Showing results 1 to 11 of 11
Issue Date | Title | Author(s) |
28-Nov-2018 | Deep Cross Modal Learning for Caricature Verification and Identification(CaVINet) | Garg, J.; Peri, S.V.; Tolani, H.; Krishnan, N.C. |
9-Dec-2022 | Explainable supervised domain adaptation | Kamakshi, V.; Krishnan, N.C. |
15-Jul-2022 | Machine learning methods trained on simple models can predict critical transitions in complex natural systems | Deb, S.; Sidheekh, S.; Clements, C.F.; Krishnan, N.C.; Dutta, P.S. |
3-Sep-2022 | MAIRE - A model-agnostic interpretable rule extraction procedure for explaining classifiers | Sharma, R.; Reddy, N.; Kamakshi, V.; Krishnan, N.C.; Jain, S. |
18-Nov-2016 | Multi-label learning for activity recognition | Kumar, R.; Qamar, I.; Virdi, J.S.; Krishnan, N.C. |
20-May-2019 | Multi-task deep learning for predicting poverty from satellite images | Pandey, S.M.; Agarwal, T.; Krishnan, N.C. |
30-Sep-2022 | Multi-task deep learning for predicting poverty from satellite images | Pandey, S.M.; Agarwal, T.; Krishnan, N.C. |
17-Nov-2016 | One-class classification-based real-time activity error detection in smart homes | Das, B.; Cook, D.J.; Krishnan, N.C.; Schmitter-Edgecombe, M. |
19-Nov-2016 | RACOG and wRACOG: Two probabilistic oversampling techniques | Das, B.; Krishnan, N.C.; Cook, D.J. |
20-Dec-2018 | Supervised heterogeneous transfer learning using random forests | Sukhija, S.; Krishnan, N.C.; Kumar, D. |
23-Jun-2022 | Towards Reducing Aleatoric Uncertainty for Medical Imaging Tasks | Singh Sambyal, A.; Krishnan, N.C.; Bathula, D.R. |