Building calibrated deep models via uncertainty matching with auxiliary interval predictors
- Jayaraman J. Thiagarajan
- Bindya Venkatesh
- et al.
- 2020
- AAAI 2020
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24 results for Jayaraman J. Thiagarajan
Attend and diagnose: Clinical time series analysis using attention models
- Huan Song
- Deepta Rajan
- et al.
- 2018
- AAAI 2018
Federated benchmarking of medical artificial intelligence with MedPerf
- Alexandros Karargyris
- Renato Umeton
- et al.
- 2023
- Nature Machine Intelligence
DDxNet: a deep learning model for automatic interpretation of electronic health records, electrocardiograms and electroencephalograms
- Jayaraman J. Thiagarajan
- Deepta Rajan
- et al.
- 2020
- Scientific Reports
Optimizing kernel machines using deep learning
- Huan Song
- Jayaraman J. Thiagarajan
- et al.
- 2018
- IEEE TNNLS
Self-training with improved regularization for sample-efficient chest x-ray classification
- Deepta Rajan
- Jayaraman J. Thiagarajan
- et al.
- 2021
- SPIE Medical Imaging 2021
Treeview and Disentangled Representations for Explaining Deep Neural Networks Decisions
- Prasanna Sattigeri
- Karthikeyan Natesan Ramamurthy
- et al.
- 2020
- ACSSC 2020
Learn-By-Calibrating: Using Calibration As A Training Objective
- Jayaraman J. Thiagarajan
- Bindya Venkatesh
- et al.
- 2020
- ICASSP 2020
Distill-to-label: Weakly supervised instance labeling using knowledge distillation
- Jayaraman J. Thiagarajan
- Satyananda Kashyap
- et al.
- 2019
- ICMLA 2019
A Generative Modeling Approach to Limited Channel ECG Classification
- Deepta Rajan
- Jayaraman J. Thiagarajan
- 2018
- EMBC 2018