Padi Sarala
Padi Sarala
Researcher, NIST
Verified email at cse.iitm.ac.in
Title
Cited by
Cited by
Year
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
102019
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
102015
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
102012
Inter and intra item segmentation of continuous audio recordings of carnatic music for archival
P Sarala, HA Murthy
Entropy 1500, 2500, 2000
102000
Automatic Categorization of Social Sensor Data
O Kotevska, S Padi, A Lbath
Procedia Computer Science 98, 596-603, 2016
62016
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
52020
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
52014
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
12020
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
12017
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
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Articles 1–17