| 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 | 54 | 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 | 33 | 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 | 15 | 2015 |
| Improved speech emotion recognition using transfer learning and spectrogram augmentation S Padi, SO Sadjadi, RD Sriram, D Manocha Proceedings of the 2021 international conference on multimodal interaction …, 2021 | 14 | 2021 |
| Multi-window data augmentation approach for speech emotion recognition S Padi, D Manocha, RD Sriram arXiv preprint arXiv:2010.09895, 2020 | 14 | 2020 |
| 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 |
| 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 | 7 | 2020 |
| Multimodal Emotion Recognition Using Transfer Learning from Speaker Recognition and BERT-Based Models SPSOSDMRD Sriram Proc. The Speaker and Language Recognition Workshop (Odyssey 2022), 407--414, 2022 | 5* | 2022 |
| 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 | 5 | 2017 |
| Automatic Categorization of Social Sensor Data O Kotevska, S Padi, A Lbath Procedia Computer Science 98, 596-603, 2016 | 5 | 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 | 5 | 2014 |
| Comparing footwear impressions that are close non‐matches using correlation‐based approaches G Venkatasubramanian, V Hegde, S Padi, H Iyer, M Herman Journal of Forensic Sciences 66 (3), 890-909, 2021 | 4 | 2021 |
| Segmentation of continuous audio recordings of Carnatic music concerts into items for archival S Padi, HA Murthy Sādhanā 43, 1-20, 2018 | 3 | 2018 |
| 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 | 1 | 2014 |
| Deconstructing UML, Part 1: Modeling Classes with Categories S Padi, SJ Breiner, E Subrahmanian, RD Sriram Sarala Padi, Spencer J. Breiner, Eswaran Subrahmanian, Ram D. Sriram, 2021 | | 2021 |
| Deconstructing UML, Part 1: Modeling Classes with Categories S Breiner, S Padi, E Subrahmanian, RD Sriram | | 2021 |
| Quantitative Bright-Field Microscopy Combined with Deep Neural Networks Predict Live Tissue Function C Simon Jr, NJ Schaub, PS Manescu, S Padi, M Simon, P Bajcsy, ... Carl Simon Jr., Nicholas J. Schaub, Petru S. Manescu, Sarala Padi, Mylene …, 2020 | | 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 | | 2018 |
| A Category Theoretic Approach to Modeling and Analysis Using Music as a Case Study S Padi, SJ Breiner, E Subrahmanian, RD Sriram Sarala Padi, Spencer J. Breiner, Eswaran Subrahmanian, Ram D. Sriram, 2017 | | 2017 |
Nathan HotalingNational Institutes of Health - National Center for Advancing Translational ScienceVerified email at nih.gov
