Padi Sarala
Cited by
Cited by
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/CVF Conference on Computer Vision and Pattern …, 2019
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
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
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
Inter and intra item segmentation of continuous audio recordings of carnatic music for archival
P Sarala, HA Murthy
Entropy 1500, 2500, 2000
Automatic Categorization of Social Sensor Data
O Kotevska, S Padi, A Lbath
Procedia Computer Science 98, 596-603, 2016
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
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
Segmentation of continuous audio recordings of Carnatic music concerts into items for archival
S Padi, HA Murthy
Sādhanā 43 (10), 1-20, 2018
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
Multi-Window Data Augmentation Approach for Speech Emotion Recognition
S Padi, D Manocha, RD Sriram
arXiv preprint arXiv:2010.09895, 2020
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
A Category Theoretic Approach to Modeling and Analysis Using Music as a Case Study
S Padi, SJ Breiner, E Subrahmanian, RD Sriram
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
Sarala Padi
S Padi
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
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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