| Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies E Chong, C Han, FC Park Expert Systems with Applications 83, 187-205, 2017 | 877 | 2017 |
| Movement prediction for a lower limb exoskeleton using a conditional restricted Boltzmann machine E Chong, FC Park Robotica 35 (11), 2177-2200, 2017 | 18 | 2017 |
| Informative sensor selection and learning for prediction of lower limb kinematics using generative stochastic neural networks E Chong, T Choi, H Kim, SJ Kim, Y Hwang, JM Lee 2017 39th Annual International Conference of the IEEE Engineering in …, 2017 | 4 | 2017 |
| A generative neural network for learning coordinated reach-grasp motions E Chong, J Park, H Kim, FC Park IEEE Robotics and Automation Letters 4 (3), 2769-2776, 2019 | 1 | 2019 |
| A learning-based harmonic mapping: Framework, assessment, and case study of human-to-robot hand pose mapping E Chong, L Zhang, VJ Santos The International Journal of Robotics Research, 2020 | | 2020 |
| EEG-based Gait Start Intention Recognition of Subacute Stroke Patients using Convolutional Neural Network 최준혁， 문정욱， 정은석， 최태진， 김승종， 이종민， 이지연， 전민호， ... 한국정밀공학회 학술발표대회 논문집, 63-64, 2017 | | 2017 |
| Human-Robot Movement Analysis and Learning Using Generative Stochastic Neural Networks E Chong 서울대학교 대학원, 2016 | | 2016 |
Frank Chongwoo ParkProfessor, Seoul National UniversityVerified email at snu.ac.kr
