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Artificial Intelligence Lab
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I am focusing on lucrative projects at the start-up.
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Journal Articles
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Fingerprint variation detection by unlabeled data for indoor localization
Jaehyun Yoo, S. Park
Pervasive and Mobile Computing (PMC), Elsevier, Sep. 67, 101219, 2020.
https://doi.org/10.1016/j.pmcj.2020.101219
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Multi-robot active sensing and environmental model learning with distributed Gaussian process
Dohyun Jang, Jaehyun Yoo, Clark Y. Son, D. Kim, H. Jin Kim
IEEE Robotics and Automation Letters (RA-L), accepted, July 2020.
https://doi.org/10.1109/LRA.2020.3010456
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Hybrid reinforcement learning control for a micro quadrotor
Jaehyun Yoo, Dohyun Jang, H. Jin Kim, Karl H. Johansson,
IEEE Control system letter (L-CSS), accepted, June 2020.
https://doi.org/10.1109/LCSYS.2020.3001663
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Change detection of RSSI fingerprint pattern for indoor positioning system
Jaehyun Yoo,
IEEE Sensors Journal, vol. 20, no. 5, March 2020.
https://doi.org/10.1109/JSEN.2019.2951712
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Indoor Localization Based on Wi-Fi Received Signal Strength Indicators: Feature Extraction, Mobile Fingerprinting, and Trajectory Learning
Jaehyun Yoo and Jongho Park,
Applied Sciences, vol. 9, no. 18, Sep 2019.
https://doi.org/10.3390/app9183930
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Indoor Mapping Guidance Algorithm of Rotary-Wing UAV Including Dead-End Situations
Jongho Park and Jaehyun Yoo
Sensors, vol. 19, no. 22, Jan 2019.
https://doi.org/10.3390/s19224854
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Time-Series Laplacian Semi-Supervised Learning for Indoor Localization
Jaehyun Yoo,
Sensors, vol. 19, no. 18, 7 Sep 2019.
https://doi.org/10.3390/s19183867
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Event-triggered Model Predictive Control with a Statistical Learning
Jaehyun Yoo and Karl H. Johansson,
IEEE Transactions on on Systems, Man, and Cybernetics: Systems, 31 May 2019,
10.1109/TSMC.2019.2916626, impact factor: 7.351
https://people.kth.se/~kallej/papers/learning_tsmc20.pdf,
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Indoor Localization without a Prior Map by Trajectory Learning from Crowdsourced Measurements,
Jaehyun Yoo, Karl H. Johansson, and H. Jin Kim,
IEEE Transactions on Instrumentation and Measurements, vol. 66, no. 11, 11 Aug, 2017.
10.1109/TIM.2017.2729438
https://people.kth.se/~kallej/papers/learning_ieeetim17yoo.pdf
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Target Localization in Wireless Sensor Networks using Online Semi-Supervised Support Vector Regression,
Jaehyun Yoo and H. Jin Kim,
Sensors, vol. 15, no. 6, May 2015.
https://doi.org/10.3390/s150612539
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Distributed Estimation using Online Semi-Supervised Particle Filter for Mobile Sensor Networks,
Jaehyun Yoo, Woojin Kim, and H. Jin Kim,
IET Control Theory and Applications, vol. 9, no. 3, Feb. 2015.
10.1049/iet-cta.2014.0495
http://icsl.snu.ac.kr/wp-content/uploads/2015/08/Distributed-estimation-using-online-semi-supervised-particle-filter-for-mobile-sensor-networks.pdf
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Target Tracking and Classification from Labeled and Unlabeled data in Wireless Sensor Networks,
Jaehyun Yoo and H. Jin Kim,
Sensors, vol. 14, no. 12, Dec. 2014.
https://doi.org/10.3390/s141223871
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Semi-supervised Location Awareness in Wireless Sensor Networks using Laplacian Support Vector Regression,
Jaehyun Yoo and H. Jin Kim,
International Journal of Distributed Sensor Networks, vol. 2014, Article ID 265801, April 2014.
https://doi.org/10.1155/2014/265801
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Target Localization using Ensemble Support Vector Regression in Wireless Sensor Networks,
Woojin Kim, J. Park, Jaehyun Yoo, and H. Jin Kim,
IEEE Transactions on Systems, Man, and Cybernetics: Part B, vol. 43, no. 4, August 2013.
10.1109/TSMCB.2012.2226151
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