| Cell image segmentation using generative adversarial networks, transfer learning, and augmentations M Majurski, P Manescu, S Padi, N Schaub, N Hotaling, C Simon Jr, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 10 | 2019 |
| Akshara transcription of mrudangam strokes in carnatic music J Kuriakose, JC Kumar, P Sarala, HA Murthy, UK Sivaraman 2015 Twenty First National Conference on Communications (NCC), 1-6, 2015 | 10 | 2015 |
| Applause identification and its relevance to archival of carnatic music P Sarala, V Ishwar, A Bellur, HA Murthy Serra X, Rao P, Murthy H, Bozkurt B, editors. Proceedings of the 2nd …, 2012 | 10 | 2012 |
| Inter and intra item segmentation of continuous audio recordings of carnatic music for archival P Sarala, HA Murthy Entropy 1500, 2500, 2000 | 10 | 2000 |
| Automatic Categorization of Social Sensor Data O Kotevska, S Padi, A Lbath Procedia Computer Science 98, 596-603, 2016 | 6 | 2016 |
| Deep learning predicts function of live retinal pigment epithelium from quantitative microscopy NJ Schaub, NA Hotaling, P Manescu, S Padi, Q Wan, R Sharma, ... The Journal of Clinical Investigation 130 (2), 1010-1023, 2020 | 5 | 2020 |
| Cent Filter-Banks and its Relevance to Identifying the Main Song in Carnatic Music P Sarala, HA Murthy Sound, Music, and Motion, 659-681, 2014 | 5 | 2014 |
| Comparison of artificial intelligence based approaches to cell function prediction S Padi, P Manescu, N Schaub, N Hotaling, C Simon Jr, K Bharti, P Bajcsy Informatics in Medicine Unlocked 18, 100270, 2020 | 1 | 2020 |
| Modeling and Analysis of Indian Carnatic Music Using Category Theory S Padi, S Breiner, E Subrahmanian, RD Sriram IEEE Transactions on Systems, Man, and Cybernetics: Systems 48 (6), 967-981, 2017 | 1 | 2017 |
| Segmentation of continuous audio recordings of Carnatic music concerts into items for archival S Padi, HA Murthy Sādhanā 43 (10), 154, 2018 | | 2018 |
| AMD Cell Therapy Efficacy Assessment Using Artificial Intelligence-Based Multi-Spectral Imaging N Hotaling, NJ Schaub, Q Wan, R Sharma, S Padi, P Manescu, ... Investigative Ophthalmology & Visual Science 59 (9), 555-555, 2018 | | 2018 |
| A Category Theoretic Approach to Modeling and Analysis Using Music as a Case Study S Padi, SJ Breiner, E Subrahmanian, RD Sriram NIST Interagency/Internal Report (NISTIR)-8092, 2017 | | 2017 |
| A Category Theoretic Approach to Modeling and Analysis Using Music as a Case Study RDS Sarala Padi, Spencer J. Breiner, Eswaran Subrahmanian NIST Interagency/Internal Report (NISTIR), 2016 | | 2016 |
| Sarala Padi S Padi | | 2015 |
| Sound, Music, and Motion: 10th International Symposium, CMMR 2013, Marseille, France, October 15-18, 2013. Revised Selected Papers M Aramaki, O Derrien, R Kronland-Martinet, S Ystad Springer, 2014 | | 2014 |
| Deep Learning based Feature Extractors for Shoe Print Matching S Padi | | |
| CompMusic Workshop II: Machine Learning Techniques HA Murthy, A Bellur, P Sarala | | |
