| Asr error correction and domain adaptation using machine translation A Mani, S Palaskar, NV Meripo, S Konam, F Metze ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 101 | 2020 |
| Obstacle avoidance through deep networks based intermediate perception S Yang, S Konam, C Ma, S Rosenthal, M Veloso, S Scherer arXiv preprint arXiv:1704.08759, 2017 | 72 | 2017 |
| Towards understanding ASR error correction for medical conversations A Mani, S Palaskar, S Konam Proceedings of the first workshop on natural language processing for medical …, 2020 | 41 | 2020 |
| Agricultural aid for mango cutting (AAM) S Konam 2014 International Conference on Advances in Computing, Communications and …, 2014 | 31 | 2014 |
| Towards Visual Explanations for Convolutional Neural Networks via Input Resampling BJ Lengerich, S Konam, EP Xing, S Rosenthal, M Veloso Workshop on Visualization for Deep Learning, Thirty-fourth International …, 2017 | 28 | 2017 |
| Towards an Automated SOAP Note: Classifying Utterances from Medical Conversations B Schloss, S Konam Machine Learning for Healthcare Conference 2020; Proceedings through the …, 2020 | 25 | 2020 |
| Medication regimen extraction from medical conversations SP Selvaraj, S Konam Proceedings of International Workshop on Health Intelligence (W3PHIAI) of …, 2019 | 21 | 2019 |
| Design encompassing mechanical aspects of ROTAAI: Robot to aid agricultural industry S Konam, RNN Srinivasa, KK Mohan 2014 International Conference on Soft Computing and Machine Intelligence, 15-19, 2014 | 16 | 2014 |
| Weakly Supervised Medication Regimen Extraction from Medical Conversations D Patel, S Konam, SP Selvaraj To appear in the Proceedings of the Clinical Natural Language Processing …, 2020 | 11 | 2020 |
| Vision-based navigation and deep-learning explanation for autonomy S Konam Ph. D. thesis, Masters thesis, 2017 | 11 | 2017 |
| Statistical analysis of image processing techniques for object counting S Konam, NR Narni 2014 International Conference on Advances in Computing, Communications and …, 2014 | 11 | 2014 |
| User interface linking analyzed segments of transcripts with extracted key points S Konam, S Rao US Patent App. 18/092,598, 2023 | 10 | 2023 |
| Abridge: A Mission Driven Approach to Machine Learning for Healthcare Conversation. S Konam, S Rao Journal of Commercial Biotechnology 26 (2), 2021 | 6 | 2021 |
| Towards fairness in classifying medical conversations into SOAP sections E Ferracane, S Konam arXiv preprint arXiv:2012.07749, 2020 | 6 | 2020 |
| Obstacle avoidance through deep networks based intermediate perception. arXiv 2017 S Yang, S Konam, C Ma, S Rosenthal, M Veloso, S Scherer arXiv preprint arXiv:1704.08759, 0 | 5 | |
| Extracting appointment spans from medical conversations NV Meripo, S Konam Proceedings of the Second Workshop on Natural Language Processing for …, 2021 | 4 | 2021 |
| Investigating the" wisdom of crowds" at scale A Shankar Mysore, VS Yaligar, I Arrieta Ibarra, C Simoiu, S Goel, R Arvind, ... Adjunct Proceedings of the 28th Annual ACM Symposium on User Interface …, 2015 | 4 | 2015 |
| ASR error detection via audio-transcript entailment NV Meripo, S Konam arXiv preprint arXiv:2207.10849, 2022 | 3 | 2022 |
| Understanding convolutional networks with APPLE: Automatic patch pattern labeling for explanation S Konam, I Quah, S Rosenthal, M Veloso The First AAAI/ACM Conference on AI, Ethics, and Society, 2018 | 3 | 2018 |
| Deep Learning for Speaker Recognition SPP Selvaraj, S Konam unpublished, available online, accessed Apr 19, 2017 | 3 | 2017 |
Manuela M. VelosoHerbert A. Simon University Professor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu