| Emergent behaviour and neural dynamics in artificial agents tracking odour plumes SH Singh, F van Breugel, RPN Rao, BW Brunton Nature machine intelligence 5 (1), 58-70, 2023 | 42* | 2023 |
| Hydro-NEXRAD-2: Real-time access to customized radar-rainfall for hydrologic applications WF Krajewski, A Kruger, S Singh, BC Seo, JA Smith Journal of hydroinformatics 15 (2), 580-590, 2013 | 31 | 2013 |
| Creation of job profiles using job titles and job functions V Goel, S Sundaresh, SH Singh US Patent App. 14/300,302, 2015 | 14 | 2015 |
| AJILE12: Long-term naturalistic human intracranial neural recordings and pose SM Peterson, SH Singh, B Dichter, M Scheid, RPN Rao, BW Brunton Scientific data 9 (1), 184, 2022 | 13 | 2022 |
| Behavioral and neural variability of naturalistic arm movements SM Peterson*, SH Singh*, NXR Wang, RPN Rao, BW Brunton Eneuro 8 (3), 2021 | 12 | 2021 |
| Mining naturalistic human behaviors in long-term video and neural recordings SH Singh, SM Peterson, RPN Rao, BW Brunton Journal of Neuroscience Methods 358, 109199, 2021 | 11* | 2021 |
| Job recommendation engine using a company employee profile V Goel, S Sundaresh, SH Singh US Patent App. 14/300,297, 2015 | 9 | 2015 |
| Using large data sets to improve candidate analysis in social networking applications SH Singh, S Sundaresh US Patent App. 14/662,007, 2016 | 8 | 2016 |
| Techniques for providing insights relating to job postings SH Singh, NI Lytkin US Patent 9,946,994, 2018 | 7 | 2018 |
| Cerenkov: Computational elucidation of the regulatory noncoding variome Y Yao, Z Liu, S Singh, Q Wei, SA Ramsey Proceedings of the 8th ACM International Conference on Bioinformatics …, 2017 | 5 | 2017 |
| Applicant analytics for a multiuser social networking system SH Singh, S Sundaresh US Patent App. 14/581,489, 2016 | 4 | 2016 |
| RACER: An LLM-powered Methodology for Scalable Analysis of Semi-structured Mental Health Interviews SH Singh, K Jiang, K Bhasin, A Sabharwal, N Moukaddam, AB Patel arXiv preprint arXiv:2402.02656, 2024 | 3 | 2024 |
| Understanding biological plume tracking behavior using deep reinforcement-learning SH Singh, F van Breugel, RPN Rao, BW Brunton Artificial Life Conference Proceedings 32, 750-752, 2020 | 2 | 2020 |
| A multimodal deep learning tool for detection of junctional ectopic tachycardia in children with congenital heart disease Y Ju, JLS Waugh, S Singh, CG Rusin, AB Patel, PN Jain Heart Rhythm O2, 2024 | 1 | 2024 |
| A Non-Negative Matrix Factorization Game SH Singh Gamification and Multiagent Solutions Workshop (ICLR 2022), 2022 | 1 | 2022 |
| A system for generation of near real-time feeds of user-customized hydrometeorology data-products from NEXRAD radar-data SH Singh The University of Iowa, 2010 | 1 | 2010 |
| Measuring and Controlling Solution Degeneracy across Task-Trained Recurrent Neural Networks A Huang, SH Singh, K Rajan arXiv preprint arXiv:2410.03972, 2024 | | 2024 |
| 3045–MOLECULAR EVOLUTION OF MEASURABLE RESIDUAL DISEASE IN MYELODYSPLASTIC SYNDROMES YH Chen, J Lee, M Zhuang, T Bi, Y Lagisetty, S Singh, A Velarde, H Yang, ... Experimental Hematology 137, 104367, 2024 | | 2024 |
| Understanding biological active sensing behaviors by interpreting learned artificial agent policies S Johnson-Yu, SH Singh, F Pedraja, D Turcu, P Sharma, N Saphra, ... Workshop on Interpretable Policies in Reinforcement Learning@ RLC-2024, 2024 | | 2024 |
| Learning Dynamics and the Geometry of Neural Dynamics in Recurrent Neural Controllers A Huang, SH Singh, K Rajan Workshop on Interpretable Policies in Reinforcement Learning@ RLC-2024, 2024 | | 2024 |
Rajesh P. N. RaoComputer Science and Engineering, University of Washington確認したメール アドレス: cs.washington.edu