| Target localization using ensemble support vector regression in wireless sensor networks W Kim, J Park, J Yoo, HJ Kim, CG Park IEEE transactions on cybernetics 43 (4), 1189-1198, 2012 | 105 | 2012 |
| Event-triggered model predictive control with a statistical learning J Yoo, KH Johansson IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (4), 2571-2581, 2019 | 60 | 2019 |
| Multi-robot active sensing and environmental model learning with distributed Gaussian process D Jang, J Yoo, CY Son, D Kim, HJ Kim IEEE Robotics and Automation Letters 5 (4), 5905-5912, 2020 | 53 | 2020 |
| Target localization in wireless sensor networks using online semi-supervised support vector regression J Yoo, HJ Kim Sensors 15 (6), 12539-12559, 2015 | 46 | 2015 |
| Hybrid reinforcement learning control for a micro quadrotor flight J Yoo, D Jang, HJ Kim, KH Johansson IEEE Control Systems Letters 5 (2), 505-510, 2020 | 44 | 2020 |
| Indoor localization without a prior map by trajectory learning from crowdsourced measurements J Yoo, KH Johansson, HJ Kim IEEE Transactions on Instrumentation and Measurement 66 (11), 2825-2835, 2017 | 40 | 2017 |
| Event-driven Gaussian process for object localization in wireless sensor networks JH Yoo, W Kim, HJ Kim 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011 | 30 | 2011 |
| Change detection of RSSI fingerprint pattern for indoor positioning system J Yoo IEEE Sensors Journal 20 (5), 2608-2615, 2019 | 28 | 2019 |
| Distributed estimation using online semi‐supervised particle filter for mobile sensor networks J Yoo, W Kim, HJ Kim IET Control Theory & Applications 9 (3), 418-427, 2015 | 27 | 2015 |
| Indoor localization based on Wi-Fi received signal strength indicators: Feature extraction, mobile fingerprinting, and trajectory learning J Yoo, J Park Applied Sciences 9 (18), 3930, 2019 | 19 | 2019 |
| Semi-supervised learning for mobile robot localization using wireless signal strengths J Yoo, KH Johansson 2017 International Conference on Indoor Positioning and Indoor Navigation …, 2017 | 17 | 2017 |
| Event-triggered model predictive control with machine learning for compensation of model uncertainties J Yoo, A Molin, M Jafarian, H Esen, DV Dimarogonas, KH Johansson 2017 IEEE 56th Annual Conference on Decision and Control (CDC), 5463-5468, 2017 | 16 | 2017 |
| Machine learning for indoor localization: Deep learning and semi-supervised learning S Choi, J Yoo, HJ Kim USB On-Site Proceedings of the Sixth International Conference on Indoor …, 2015 | 14 | 2015 |
| Time-series Laplacian semi-supervised learning for indoor localization J Yoo Sensors 19 (18), 3867, 2019 | 13 | 2019 |
| Learning communication delay patterns for remotely controlled UAV networks J Yoo, KH Johansson IFAC-PapersOnLine 50 (1), 13216-13221, 2017 | 13 | 2017 |
| Efficient networked UAV control using event-triggered predictive control D Jang, CY Son, J Yoo, HJ Kim, KH Johansson IFAC-PapersOnLine 52 (15), 412-417, 2019 | 12 | 2019 |
| Path planning for remotely controlled UAVs using Gaussian process filter J Yoo, HJ Kim, KH Johansson 2017 17th international conference on control, automation and systems (ICCAS …, 2017 | 11 | 2017 |
| Mapless indoor localization by trajectory learning from a crowd J Yoo, HJ Kim, KH Johansson 2016 International Conference on Indoor Positioning and Indoor Navigation …, 2016 | 11 | 2016 |
| Semisupervised location awareness in wireless sensor networks using laplacian support vector regression J Yoo, HJ Kim International Journal of Distributed Sensor Networks 10 (4), 265801, 2014 | 10 | 2014 |
| Online estimation using semi-supervised least square svr J Yoo, HJ Kim 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2014 | 9 | 2014 |
Karl H. JohanssonEECS and Digital Futures, KTH Royal Institute of Technology, SwedenVerified email at kth.se
