| Incremental learning of concept drift in nonstationary environments R Elwell, R Polikar IEEE transactions on neural networks 22 (10), 1517-1531, 2011 | 1077 | 2011 |
| Incremental learning in nonstationary environments with controlled forgetting R Elwell, R Polikar 2009 international joint conference on neural networks, 771-778, 2009 | 79 | 2009 |
| Incremental learning of variable rate concept drift R Elwell, R Polikar Multiple Classifier Systems: 8th International Workshop, MCS 2009, Reykjavik …, 2009 | 59 | 2009 |
| Radar spectrum spreading using advanced pulse compression noise (APCN) MA Govoni, RA Elwell 2014 IEEE Radar Conference, 1471-1475, 2014 | 11 | 2014 |
| Benchmark datasets for evaluating concept drift/NSE algorithms R Polikar, R Elwell | 11 | 2012 |
| Design of Photovoltaic Systems for Municipal and School Buildings in Ocean City, New Jersey PM Jansson, R Elwell 2007 Annual Conference & Exposition, 12.460. 1-12.460. 12, 2007 | 10 | 2007 |
| Qualitative analysis of interference on receiver performance using advanced pulse compression noise (APCN) MA Govoni, RA Elwell Radar Sensor Technology XIX; and Active and Passive Signatures VI 9461, 300-308, 2015 | 5 | 2015 |
| Time-based radio beamforming waveform transmission R Elwell, M Govoni US Patent 10,193,612, 2019 | 4 | 2019 |
| Time-based and frequency-based radio beamforming waveform transmission R Elwell, M Govoni US Patent 10,079,633, 2018 | 4 | 2018 |
| A practical look at target detection using MIMO radar MA Govoni, R Elwell, T Dogaru, DH Liao Radar Sensor Technology XIX; and Active and Passive Signatures VI 9461, 228-238, 2015 | 3 | 2015 |
| SAR image quality using advanced pulse compression noise (APCN) MA Govoni, RA Elwell Radar Sensor Technology XVIII 9077, 186-195, 2014 | 3 | 2014 |
| Incremental Learning of Variable Rate Concept Drift. MCS’09: Proceedings of the 8th International Workshop on Multiple Classifier Systems, 2009 R Elwell, R Polikar Springer-Verlag Berlin Heidelberg, 0 | 2 | |
| An ensemble-based computational approach for incremental learning in non-stationary environments related to schema-and scaffolding-based human learning R Elwell | 1 | 2010 |
| Blackbox Saliency Mapping for SAR ATR Interpretability R Elwell MSS Tri-Service Radar Symposium, 2022 | | 2022 |
| Evaluating Confidence on Deep Learning Decisions Using Stochastic Methods R Elwell The 21st International Conference on Artificial Intelligence, 2019 | | 2019 |
| Frequency-based radio beamforming waveform transmission R Elwell, M Govoni US Patent 10,320,467, 2019 | | 2019 |
| Binary Encoding of ISR Tracks R Elwell, E Taylor MSS Tri-Service Radar Symposium, 2019 | | 2019 |
| Performance metric development for a group state estimator in airborne UHF GMTI applications RA Elwell Automatic Target Recognition XXIII 8744, 303-315, 2013 | | 2013 |
Robi PolikarProfessor of Electrical and Computer Engineering, Rowan University, Glassboro, NJ, USA在 rowan.edu 的电子邮件经过验证
Robi PolikarProfessor of Electrical and Computer Engineering, Rowan University, Glassboro, NJ, USA在 rowan.edu 的电子邮件经过验证
Mark A. GovoniU.S. Army Research Laboratory在 ieee.org 的电子邮件经过验证