| Deep temporal clustering: Fully unsupervised learning of time-domain features NS Madiraju Arizona State University, 2018 | 174 | 2018 |
| FPGA Implementation of ECG feature extraction using Time domain analysis RV Naveen Sai Madiraju ,Naresh Kurella Discovery, 60-64, 2015 | 13* | 2015 |
| Level set segmentation of brain matter using a trans-roto-scale invariant high dimensional feature N Madiraju, A Singh, SN Omkar Computer Vision–ACCV 2016 Workshops: ACCV 2016 International Workshops …, 2017 | 2 | 2017 |
| Instance explainable temporal network for multivariate timeseries N Madiraju, H Karimabadi 6th Workshop on Mining and Learning from Time Series, MiLeTS 2020, 2020 | 1 | 2020 |
| Gastroenterology Fellow Level Performance on Colonoscopy Frame Classification With Deep Neural Networks JL Lei Zhang, Zongwei Zhou, Hassan Siddiki, Naveen Sai Madiraju, Noemi Baffy ... World Congress of Gastroenterology at ACG2017, 2017 | 1* | 2017 |
| Enhancing Trust and Safety in Digital Payments: An LLM-Powered Approach D Dahiphale, N Madiraju, J Lin, R Karve, M Agrawal, A Modwal, ... 2024 IEEE International Conference on Big Data (BigData), 4854-4863, 2024 | | 2024 |
| Deep temporal clustering: Fully unsupervised learning of time-domain features. arXiv NS Madiraju, SM Sadat, D Fisher, H Karimabadi arXiv preprint arXiv:1802.01059, 2018 | | 2018 |
| Role of Machine Learning in Assessing Endoscopy Quality. A Feasibility Study of Determining Effective Withdrawal Phase Time for Colonoscopy Exams Using Deep Convolutional … H Siddiki, L Zhang, N Baffy, D Franco, Z Zhou, NS Madiraju, FC Ramirez, ... Official journal of the American College of Gastroenterology| ACG 112, S264, 2017 | | 2017 |
Behnam (Seid) SadatSr. Data Scientist, Intuit AIEmail yang diverifikasi di asu.edu