Anomaly Monitoring Framework in Lane Detection With a Generative Adversarial Network von Kim, Hayoung, Park, Jongwon, Min, Kyushik, Huh, Kunsoo

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Deep Distributional Reinforcement Learning Based High-Level Driving Policy Determination von Min, Kyushik, Kim, Hayoung, Huh, Kunsoo

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Road Surface Classification Using a Deep Ensemble Network with Sensor Feature Selection von Park, Jongwon, Min, Kyushik, Kim, Hayoung, Lee, Woosung, Cho, Gaehwan, Huh, Kunsoo

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Vehicle sideslip angle estimation using deep ensemble-based adaptive Kalman filter von Kim, Dongchan, Min, Kyushik, Kim, Hayoung, Huh, Kunsoo

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Towards Validating Long-Term User Feedbacks in Interactive Recommendation Systems von Lee, Hojoon, Hwang, Dongyoon, Kyushik Min, Choo, Jaegul

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Evaluation Strategy of Time-series Anomaly Detection with Decay Function von Gim, Yongwan, Min, Kyushik

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Evaluation Strategy of Time-series Anomaly Detection with Decay Function von Gim, Yongwan, Kyushik Min

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Learning to Discover Skills through Guidance von Kim, Hyunseung, Lee, Byungkun, Lee, Hojoon, Hwang, Dongyoon, Park, Sejik, Min, Kyushik, Choo, Jaegul

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JORLDY: a fully customizable open source framework for reinforcement learning von Min, Kyushik, Lee, Hyunho, Shin, Kwansu, Lee, Taehak, Lee, Hojoon, Choi, Jinwon, Son, Sungho

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METHOD AND APPARATUS FOR SEARCHING VIDEO SECTION BASED ARTIFICIAL INTELLIGENCE von GIM YONGWAN, MIN KYUSHIK

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AUTOBIDDING METHOD FOR MULTI-ADVERTISING METRICS AND ADVERTISEMENT APPARATUS PROVIDING THE METHOD von GIM YONGWAN, MIN KYUSHIK

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Learning to Discover Skills through Guidance von Kim, Hyunseung, Lee, Byungkun, Lee, Hojoon, Hwang, Dongyoon, Park, Sejik, Kyushik Min, Choo, Jaegul

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JORLDY: a fully customizable open source framework for reinforcement learning von Kyushik Min, Lee, Hyunho, Shin, Kwansu, Lee, Taehak, Lee, Hojoon, Choi, Jinwon, Son, Sungho

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Intelligent pen von PARK CHANG-MIN, SHIN KYUSHIK, SHIM JIN-YONG, IVAN MAIDA CHUK

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Smart pen and display device using same von PARK CHANG-MIN, SHIN KYUSHIK, SHIM JIN-YONG, PARK WON-SANG, LEE SEONG-JUN, IVAN MAIDA CHUK

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