Extensive rewiring of epithelial-stromal co-expression networks in breast cancer EY Oh, SM Christensen, S Ghanta, JC Jeong, O Bucur, B Glass, ... Genome biology 16, 1-22, 2015 | 60 | 2015 |
Wavelet domain detection of rust in steel bridge images S Ghanta, T Karp, S Lee 2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011 | 58 | 2011 |
Machine learning abstraction N Talagala, V Sridhar, S Sundararaman, S Ghanta, L Amar, L Khermosh, ... US Patent 11,748,653, 2023 | 52 | 2023 |
Determining validity of machine learning algorithms for datasets S Ghanta, D Roselli, N Talagala, V Sridhar, S Sundararaman, L Amar, ... US Patent App. 16/049,647, 2020 | 50 | 2020 |
Interpretability-based machine learning adjustment during production S Ghanta, D Roselli, N Talagala, V Sridhar, S Sundararaman, L Amar, ... US Patent App. 16/221,039, 2020 | 35 | 2020 |
ECO: Harmonizing Edge and Cloud with ML/DL Orchestration N Talagala, S Sundararaman, V Sridhar, D Arteaga, Q Luo, ... {USENIX} Workshop on Hot Topics in Edge Computing (HotEdge 18), 2018 | 33 | 2018 |
Automatic road surface defect detection from grayscale images S Ghanta, R Birken, J Dy SPIE Smart Structures and Materials+ Nondestructive Evaluation and Health …, 2012 | 28 | 2012 |
Detecting suitability of machine learning models for datasets S Ghanta, D Roselli, N Talagala, V Sridhar, S Sundararaman, L Amar, ... US Patent App. 16/001,904, 2019 | 21 | 2019 |
A marked Poisson process driven latent shape model for 3D segmentation of reflectance confocal microscopy image stacks of human skin S Ghanta, MI Jordan, K Kose, DH Brooks, M Rajadhyaksha, JG Dy IEEE Transactions on Image Processing 26 (1), 172-184, 2016 | 14 | 2016 |
ML health: Fitness tracking for production models S Ghanta, S Subramanian, L Khermosh, S Sundararaman, H Shah, ... arXiv preprint arXiv:1902.02808, 2019 | 10 | 2019 |
A Hessian-based methodology for automatic surface crack detection and classification from pavement images S Ghanta, SS Shamsabadi, J Dy, M Wang, R Birken Structural Health Monitoring and Inspection of Advanced Materials, Aerospace …, 2015 | 10 | 2015 |
Dhananjoy Das, and Nisha Talagala S Ghanta, L Khermosh, S Subramanian, V Sridhar, S Sundararaman, ... A systems perspective to reproducibility in production machine learning …, 2018 | 8 | 2018 |
Interpretability and reproducability in production machine learning applications S Ghanta, S Subramanian, S Sundararaman, L Khermosh, V Sridhar, ... 2018 17th IEEE International Conference on Machine Learning and Applications …, 2018 | 7 | 2018 |
MPP: Model Performance Predictor S Ghanta, S Subramanian, L Khermosh, H Shah, Y Goldberg, ... 2019 {USENIX} Conference on Operational Machine Learning (OpML 19), 23-25, 2019 | 6 | 2019 |
Comparative study of retrospective methods to reduce non-uniform illumination effects to bridge coating S Lee, S Ghanta, T Karp Automation in construction 22, 537-544, 2012 | 5 | 2012 |
Nondestructive characterization for composite materials, aerospace engineering, civil infrastructure, and homeland security S Ghanta, R Birken, J Dy SPIE, 2012 | 5 | 2012 |
Latent marked Poisson process with applications to object segmentation S Ghanta, JG Dy, D Niu, MI Jordan | 4 | 2018 |
A Systems Perspective to Reproducibility in Production Machine Learning Domain S Ghanta, S Subramanian, V Sridhar, S Sundararaman, D Arteaga, Q Luo, ... Reproducibility in Machine Learning Workshop, ICML, 2018 | 3 | 2018 |
Detecting suitability of machine learning models for datasets S Ghanta, B Ramsundar, D Roselli, N Talagala, V Sridhar, ... US Patent App. 17/991,274, 2023 | 1 | 2023 |
ML health monitor: taking the pulse of machine learning algorithms in production S Ghanta, S Subramanian, L Khermosh, S Sundararaman, H Shah, ... Applications of Machine Learning 11139, 191-202, 2019 | 1 | 2019 |