| Simulating the power consumption of large-scale sensor network applications V Shnayder, M Hempstead, B Chen, GW Allen, M Welsh Proceedings of the 2nd international conference on Embedded networked sensor …, 2004 | 1580 | 2004 |
| Sensor networks for emergency response: challenges and opportunities K Lorincz, DJ Malan, TRF Fulford-Jones, A Nawoj, A Clavel, V Shnayder, ... IEEE pervasive Computing 3 (4), 16-23, 2004 | 1452 | 2004 |
| Sensor networks for medical care V Shnayder, B Chen, K Lorincz, TRF Fulford-Jones, M Welsh | 1028 | 2005 |
| The advanced health and disaster aid network: A light-weight wireless medical system for triage T Gao, T Massey, L Selavo, D Crawford, B Chen, K Lorincz, V Shnayder, ... IEEE Transactions on biomedical circuits and systems 1 (3), 203-216, 2007 | 350 | 2007 |
| Combining independent modules to solve multiple-choice synonym and analogy problems PD Turney, ML Littman, J Bigham, V Shnayder arXiv preprint cs/0309035, 2003 | 193 | 2003 |
| Informed truthfulness in multi-task peer prediction V Shnayder, A Agarwal, R Frongillo, DC Parkes Proceedings of the 2016 ACM Conference on Economics and Computation, 179-196, 2016 | 150 | 2016 |
| Powertossim: Efficient power simulation for tinyos applications V Shnayder, M Hempstead, B Chen, M Welsh ACM Conference on Embedded Networked Sensor Systems (SenSys), 2004 | 80 | 2004 |
| For hierarchical decomposition deep reinforcement learning for an artificial intelligence model M Campos, A Gudimella, R Story, M Shaker, R Kong, M Brown, ... US Patent 11,120,365, 2021 | 59 | 2021 |
| Decision markets with good incentives Y Chen, I Kash, M Ruberry, V Shnayder International Workshop on Internet and Network Economics, 72-83, 2011 | 42 | 2011 |
| Combining independent modules in lexical multiple-choice problems. PD Turney, ML Littman, J Bigham, V Shnayder RANLP, 101-110, 2003 | 35 | 2003 |
| Measuring performance of peer prediction mechanisms using replicator dynamics V Shnayder, R Frongillo, DC Parkes Proceedings of the Twenty-Fifth International Joint Conference on Artificial …, 2016 | 25 | 2016 |
| Practical peer prediction for peer assessment V Shnayder, D Parkes Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 4 …, 2016 | 20 | 2016 |
| Eliciting predictions and recommendations for decision making Y Chen, IA Kash, M Ruberry, V Shnayder ACM Transactions on Economics and Computation (TEAC) 2 (2), 1-27, 2014 | 20 | 2014 |
| Deep reinforcement learning for dexterous manipulation with concept networks A Gudimella, R Story, M Shaker, R Kong, M Brown, V Shnayder, ... arXiv preprint arXiv:1709.06977, 2017 | 19 | 2017 |
| Peer prediction with heterogeneous tasks D Mandal, M Leifer, DC Parkes, G Pickard, V Shnayder arXiv preprint arXiv:1612.00928, 2016 | 16 | 2016 |
| Instructor dashboards in EdX C Fredericks, G Lopez, V Shnayder, S Rayyan, D Seaton Proceedings of the Third (2016) ACM Conference on Learning@ Scale, 335-336, 2016 | 6 | 2016 |
| Truthful prioritization schemes for spectrum sharing V Shnayder, J Hoon, DC Parkes, V Kawadia 2012 Proceedings IEEE INFOCOM Workshops, 196-201, 2012 | 5 | 2012 |
| CodeBlue: An Architecture for Medical Sensor Networks V Shnayder, B Chen, K Lorincz, TR Fulford-Jones, S Dawson-Haggerty, ... Harv. Electr. Eng. Comput. Sci, 2005 | 5 | 2005 |
| Making peer prediction practical V Shnayder | 1 | 2016 |
| Truthful prioritization for dynamic bandwidth sharing V Shnayder, DC Parkes, V Kawadia, J Hoon Proceedings of the 15th ACM international symposium on Mobile ad hoc …, 2014 | 1 | 2014 |
