| Evidential deep learning to quantify classification uncertainty M Sensoy, L Kaplan, M Kandemir Advances in neural information processing systems 31, 2018 | 896 | 2018 |
| On truth discovery in social sensing: A maximum likelihood estimation approach D Wang, L Kaplan, H Le, T Abdelzaher Proceedings of the 11th international conference on Information Processing …, 2012 | 454 | 2012 |
| TOPS: New DOA estimator for wideband signals YS Yoon, LM Kaplan, JH McClellan IEEE Transactions on Signal processing 54 (6), 1977-1989, 2006 | 403 | 2006 |
| Extended fractal analysis for texture classification and segmentation LM Kaplan IEEE transactions on image processing 8 (11), 1572-1585, 1999 | 345 | 1999 |
| Global node selection for localization in a distributed sensor network LM Kaplan IEEE Transactions on Aerospace and Electronic systems 42 (1), 113-135, 2006 | 311 | 2006 |
| Using humans as sensors: an estimation-theoretic perspective D Wang, MT Amin, S Li, T Abdelzaher, L Kaplan, S Gu, C Pan, H Liu, ... IPSN-14 proceedings of the 13th international symposium on information …, 2014 | 249 | 2014 |
| Maximum likelihood methods for bearings-only target localization LM Kaplan, Q Le, N Molnar 2001 IEEE International Conference on Acoustics, Speech, and Signal …, 2001 | 205 | 2001 |
| Meta-path guided embedding for similarity search in large-scale heterogeneous information networks J Shang, M Qu, J Liu, LM Kaplan, J Han, J Peng arXiv preprint arXiv:1610.09769, 2016 | 195 | 2016 |
| Social sensing: building reliable systems on unreliable data D Wang, T Abdelzaher, L Kaplan Morgan Kaufmann, 2015 | 189 | 2015 |
| Geoburst: Real-time local event detection in geo-tagged tweet streams C Zhang, G Zhou, Q Yuan, H Zhuang, Y Zheng, L Kaplan, S Wang, J Han Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016 | 181 | 2016 |
| On the quality and value of information in sensor networks C Bisdikian, LM Kaplan, MB Srivastava ACM Transactions on Sensor Networks (TOSN) 9 (4), 1-26, 2013 | 173 | 2013 |
| Improved SAR target detection via extended fractal features LM Kaplan IEEE Transactions on Aerospace and Electronic Systems 37 (2), 436-451, 2001 | 172 | 2001 |
| Performance measures of covariance and information matrices in resource management for target state estimation C Yang, L Kaplan, E Blasch IEEE Transactions on Aerospace and Electronic Systems 48 (3), 2594-2613, 2012 | 164 | 2012 |
| Building principles for a quality of information specification for sensor information C Bisdikian, LM Kaplan, MB Srivastava, DJ Thornley, D Verma, RI Young 2009 12th International Conference on Information Fusion, 1370-1377, 2009 | 162 | 2009 |
| Recursive fact-finding: A streaming approach to truth estimation in crowdsourcing applications D Wang, T Abdelzaher, L Kaplan, CC Aggarwal 2013 IEEE 33rd international conference on distributed computing systems …, 2013 | 161 | 2013 |
| The age of social sensing D Wang, BK Szymanski, T Abdelzaher, H Ji, L Kaplan Computer 52 (1), 36-45, 2019 | 160 | 2019 |
| Fractal estimation from noisy data via discrete fractional Gaussian noise (DFGN) and the Haar basis LM Kaplan, CCJ Kuo IEEE Transactions on Signal Processing 41 (12), 3554-3562, 1993 | 148 | 1993 |
| Local node selection for localization in a distributed sensor network LM Kaplan IEEE Transactions on Aerospace and Electronic Systems 42 (1), 136-146, 2006 | 140 | 2006 |
| Texture roughness analysis and synthesis via extended self-similar (ESS) model LM Kaplan, CCJ Kuo IEEE Transactions on Pattern Analysis and Machine Intelligence 17 (11), 1043 …, 1995 | 137 | 1995 |
| Assignment costs for multiple sensor track-to-track association LM Kaplan, Y Bar-Shalom, WD Blair IEEE Transactions on Aerospace and Electronic Systems 44 (2), 655-677, 2008 | 132 | 2008 |
