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Nanda H. Krishna
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2020 – today
- 2024
- [c6]Nanda H. Krishna, Colin Bredenberg, Daniel Levenstein, Blake Aaron Richards, Guillaume Lajoie:
Sufficient conditions for offline reactivation in recurrent neural networks. ICLR 2024 - 2021
- [j1]Naveena Yanamala
, Nanda H. Krishna
, Quincy A. Hathaway
, Aditya Radhakrishnan, Srinidhi Sunkara, Heenaben Patel, Peter Farjo, Brijesh Patel, Partho P. Sengupta:
A vital sign-based prediction algorithm for differentiating COVID-19 versus seasonal influenza in hospitalized patients. npj Digit. Medicine 4 (2021) - 2020
- [c5]Nanda H. Krishna, Rakesh M, Ram Kaushik R:
Plant Species Identification Using Transfer Learning - PlantCLEF 2020. CLEF (Working Notes) 2020 - [c4]Nanda H. Krishna
, Praveen Kumar R, Rishi Vardhan K, Vineeth Vijayaraghavan:
Defending Against Localized Adversarial Attacks on Edge-Deployed Monocular Depth Estimators. ICMLA 2020: 1281-1288
2010 – 2019
- 2019
- [c3]M. Subin Sahayam
, Nanda H. Krishna
, Umarani Jayaraman
:
Brain Tumour Segmentation on MRI Images by Voxel Classification Using Neural Networks, and Patient Survival Prediction. BrainLes@MICCAI (1) 2019: 284-294 - [c2]Nanda H. Krishna
, Praveen Kumar R, Ram Kaushik R, Palaniappan Mirunalini, Chandrabose Aravindan, S. M. Jaisakthi:
Species Recommendation using Machine Learning - GeoLifeCLEF 2019. CLEF (Working Notes) 2019 - [c1]Abhijith Ragav, Nanda Harishankar Krishna
, Naveen Narayanan, Kevin Thelly, Vineeth Vijayaraghavan:
Scalable Deep Learning for Stress and Affect Detection on Resource-Constrained Devices. ICMLA 2019: 1585-1592
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last updated on 2024-08-08 19:12 CEST by the dblp team
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