Browse "Dept. of Bio and Brain Engineering(바이오및뇌공학과)" by Author Lee, Sang Wan
Showing results 1 to 60 of 120
| A Competitive Path to Build Artificial Football Agents for AI Worldcup Yi, SH; Lee, JH; Lee, CH; Kim, J; An, S; Lee, Sang Wan, IEEE/IEIE International Conference On Consumer Electronics (ICCE) Asia, IEEE, IEIE, 2018-06-26 |
| A hierarchical model of peripheral vision Isik, Leila; Leibo, Joel; Mutch, Jim; Lee, Sang Wan; Poggio, Tomaso, 41th annual meeting of the Society for Neuroscience (SfN 2011), Society for Neuroscience, 2011-11-13 |
| A hierarchical model of peripheral vision Isik, Leyla; Leibo, Joel Z; Mutch, Jim; Lee, Sang Wan; Poggio, Tomaso, MIT CSAIL Technical Report, 2011-06 |
| A Human-Friendly Human Computer Interaction : Design of Personalized Facial Expression Recognition System Kim, Dai Jin; Lee, Sang Wan; Bien, Zeungnam, Joint 8th World Multi-Conference on Systems, Cybernetics and Informatics, IIIS, 2004-07 |
| A Nonsupervised Learning Framework of Human Behavior Patterns Based on Sequential Actions Lee, Sang Wan; Kim, Yong Soo; Bien, Zeung nam, IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, v.22, pp.479 - 492, 2010-04 |
| A Probabilistic Approach Toward Facial Expression Recognition Lee, Sang Wan; Kim, D.-J.; Kim, YS; Jung, JW; Bien, Z, 3rd International Conference on Soft Computing and Intelligent Systems and 7th International Symposium on Advanced Intelligent Systems(SCIS&ISIS 2006), IFSA, IEEE, 2006-09 |
| A study on neural task dimensionality of prefrontal cortex for context-dependent reinforcement learning = 컨텍스트 의존적 강화학습을 위한 전전두피질의 신경표상 작업 차원에 관한 연구link Sung, Yoondo; Lee, Sang Wan; et al, 한국과학기술원, 2021 |
| A Study on the Application of the Software Framework MASSiVE in KAIST’s Intelligent Sweet Home System Prenzel, Oliver; Bien, Zeung nam; Lee, Sang Wan; Graeser, Axel, INTERNATIONAL JOURNAL OF ASSISTIVE ROBOTICS AND MECHTRONICS, v.9, no.4, pp.74 - 84, 2008-12 |
| (A) BCI-guided human-robot value alignment framework with action-goal inference = 행동-목표 추론을 통한 BCI 기반 인간-로봇 가치 정렬 프레임워크link Xu, Xin; 서흔; et al, 한국과학기술원, 2023 |
| (A) study on hippocampal successor representation for transfer learning = 전이 학습을 위한 해마의 승계 표상 연구link Kim, Heejun; Lee, Sang Wan; et al, 한국과학기술원, 2023 |
| (A) study on neural bases underlying selective long-term memory retrieval = 선택적 장기기억 인출 과정의 신경기저에 관한 연구link Park, Jisu; 박지수; et al, 한국과학기술원, 2023 |
| (A) study on the effect of one-shot learning on inductive and deductive Inference = 귀납 및 연역 추론에 대한 고속 학습의 효과 연구link Lee, Ji Hyea; Lee, Sang Wan; 이상완; Jeong, Jae Seung; et al, 한국과학기술원, 2017 |
| (A) study on the neural bases underlying self-distancing process = 자기거리두기 정보 처리에 관한 신경기저 연구link Shin, Inho; 신인호; et al, 한국과학기술원, 2023 |
| Adaptive Gabor Wavelet Neural Network for Facial Expression Recognition - Training of Feature Extractor by Novel Feature Separability Criterion Lee, Sang Wan; Kim, D.-J.; Kim, YS; Bien, Z, 11th World Congress of International Fuzzy Systems Association (IFSA 2005), IFSA, 2005-07 |
| Agglomerative Bayesian Fuzzy Clustering-based Fuzzy-state Q-learning for Life Pattern Prediction Lee, Sang Wan; Kim, Yong Soo; Bien, Zeungnam, North American Fuzzy Information Processing (NAFIPS 2008), NAFIPS, 2008-05 |
| An Adaptive Facial Expression Recognition System Using Fuzzy Neural Network Model and Q-learning Lee, Sang Wan; Kim, DJ; Kim, YS; Bien, Z, International Conference on Soft Computing and Intelligent Systems and 5th International Symposium on Advanced Intelligent Systems(SCIS&ISIS 2004), IFSA, IEEE, 2004-09 |
| Applying Human Learning Principles to User-Centered IoT Systems Lee, Sang Wan; Prenzel, Oliver; Bien, Zeung nam, COMPUTER, v.46, no.2, pp.46 - 52, 2013-02 |
| Attentional control methods for time-series data classification and synthesis = 시계열 데이터 분류와 합성을 위한 주의집중조절 방법link Park, Jungbae; Lee, Sang Wan; et al, 한국과학기술원, 2019 |
| Automated Knowledge Base Completion Using Collaborative Filtering and Deep Reinforcement Learning Tortay, Alisher; Lee, Jee Hang; Lee, Chang Hwa; Lee, Sang Wan, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp.3069 - 3074, IEEE, 2018-10 |
| Behavioral and neural evidence for intrinsic motivation effect on reinforcement learning Kim, Dongjae; Lee, Sang Wan, 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making, RLDM 2019, 2019-07-08 |
Behavioral evidence for memory replay of video episodes in the macaque Zuo, Shuzhen; Wang, Lei; Shin, Jung Han; Cai, Yudian; Zhang, Boqiang; Lee, Sang Wan; Appiah, Kofi; et al, ELIFE, v.9, 2020-04 |
| Bidirectional transformation between dominant cortical neural activities and phase difference distributions Lee, Sang Wan, The 25th Annual Computational Neuroscience Meeting, CNS, 2016-07 |
| Brain-like autoencoder that learns latent covariance structure Ryu, Jungwon; Lee, Sang Wan, From Neuroscience to Artificially Intelligent Systems (NAISys), Cold Spring Harbor Laboratory, 2020-11 |
| Context-dependent meta-control for reinforcement learning using a Dirichlet process Gaussian mixture model Kim, DJ; Lee, Sang Wan, The 6th international winter conference on Brain-computer interface (IEEE BCI 2018), pp.112 - 114, IEEE, 2018-01 |
| Deciphering model-based and model-free reinforcement learning strategies and choices from EEG Kim, Dongjae; Lee, Sang Wan, 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making, RLDM 2019, 2019-07-08 |
| Decision-making in brains and robots - the case for an interdisciplinary approach Lee, Sang Wan; Seymour, Ben, CURRENT OPINION IN BEHAVIORAL SCIENCES, v.26, pp.137 - 145, 2019-04 |
| Decoding both intention and learning strategies from EEG signals Kim, Dongjae; Lee, Sang Wan, 7th International Winter Conference on Brain-Computer Interface, BCI 2019, pp.72 - 75, Institute of Electrical and Electronics Engineers Inc., 2019-02-18 |
| Decoding learning strategies from EEG signals provides generalizable features for decoding decision Kim, Dongjae; Kim, Myeong-hyeon; Lee, Sang Wan, 9th International Winter Conference on Brain-Computer Interface (BCI 2021), IEEE, 2021-02 |
| Decoding prefrontal cognitive states from electroencephalography in virtual-reality environment Kim, Dongjae; Park, Jiseong; Hwang, Jeongseok; Cho, Wan Hee; Lee, Sang Wan, 8th International Winter Conference on Brain-Computer Interface, BCI 2020, Institute of Electrical and Electronics Engineers Inc., 2020-02 |
| Depressive Model-Based and Model-Free Reinforcement Learning Heo. SY; Lee, Sang Wan, Computational and Systems Neuroscience (COSYNE), COSYNE, 2018-03-01 |
| Design of a Gait Phase Recognition System That Can Cope With EMG Electrode Location Variation Lee, Sang Wan; Yi, Taeyoub; Jung, Jin-Woo; Bien, Zeung Nam, IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, v.14, no.3, pp.1429 - 1439, 2017-07 |
| Designing an Experiment without a Human Experimenter Lee, CH; Heo, SY; Lee, Sang Wan, Computational and Systems Neuroscience (COSYNE), COSYNE, 2018-03-01 |
| Designing model-based and model-free reinforcement learning tasks without
human guidance Shin, Jae Hoon; Lee, Jee Hang; Tong, Shuangyi; Kim, Sang Hwan; Lee, Sang Wan, 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making, RLDM 2019, 2019-07-08 |
| Designing Model-Based and Model-Free Reinforcement Learning Tasks without Human Guidance Shin, Jae Hoon; Lee, JEE HANG; Tong, Shuangyi; Kim, Sang Whan; Lee, Sang Wan, 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Neural Information Processing Systems Foundation, 2019-12 |
| Development of Assistive Software for Disabled and Aged People Based on User Characteristics - Unified User Interface for Special Work Chair Kim, Sangchul; Jeon, MoonJin; Lee, Sang Wan; Park, Kwang-Hyun; Bien, Zeungnam, 8th International Symposium on advanced Intelligent Systems (ISIS 2007), KFIS, 2007-09 |
| Development of flexible reinforcement learning algorithms using model-based fMRI analyseslink Kim, Dongjae; Lee, Sang Wan; 이상완; Jeong, Jaeseung; et al, 2021 |
| Dirichlet process-based arbitration control of reinforcement learning Kim, Dongjae; Lee, Sang Wan, The 5th International Conference on Robot Intelligence Technology and Applications (ICRITA 2017), Korea Robotics Society, 2017-12-14 |
| Domain-adaptive and robust learning based on adversarial training = 도메인 변화 및 왜곡에 강건한 적대적 학습 기반 규제 알고리즘link Park, Geon Yeong; Lee, Sang Wan; et al, 한국과학기술원, 2021 |
| Dynamic encoding of reward and latent task structures in human reinforcement learning Kim, DJ; Lee, Sang Wan, Computational and Systems Neuroscience (COSYNE), COSYNE, 2018-03-01 |
| Dynamic resource allocation during reinforcement learning accounts for ramping and phasic dopamine activity Song, Minryung; Lee, Sang Wan, Computational and Systems Neuroscience (COSYNE), COSYNE, 2020-02-29 |
| Dynamic resource allocation during reinforcement learning accounts for ramping and phasic dopamine activity = 강화학습을 위한 동적 자원할당과 관련된 도파민 활동 패턴 연구link Song, Minryung; Lee, Sang Wan; et al, 한국과학기술원, 2020 |
| EEG-based classification of learning strategies : model-based and model-free reinforcement learning Kim, DJ; Weston, C; Lee, Sang Wan, The 6th international winter conference on Brain-computer interface (IEEE BCI 2018), pp.146 - 148, IEEE, 2018-01 |
| Effects of depression on reinforcement learning = 우울증에서의 손상된 강화학습 기제에 관한 연구link Heo, Suyeon; Lee, Sang Wan; 이상완; Jeong, Jaeseung; et al, 한국과학기술원, 2019 |
| Effects of subclinical depression on prefrontal-striatal model-based and model-free learning Heo, Suyeon; Sung, Yoondo; Lee, Sang Wan, PLOS COMPUTATIONAL BIOLOGY, v.17, no.5, 2021-05 |
| Error Backpropagation with Attention Control to Learn Imbalanced Data for Regression Lee, Chang Hwa; Lee, Sang Wan, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp.2820 - 2824, IEEE, 2018-10 |
| Evidence of behavioral and neural interaction between task complexity and state-space uncertainty during reinforcement learning Kim, Dongjae; Park, Geon Young; O'doherty, John P; Lee, Sang Wan, Computational and Systems Neuroscience (COSYNE), COSYNE, 2019-03-02 |
| Exploring Feature Dimensions to Learn a New Policy in an Uninformed Reinforcement Learning Task Choung, Oh-Hyun; Lee, Sang Wan; Jeong, Yong, SCIENTIFIC REPORTS, v.7, pp.17676, 2017-12 |
| Facial Emotional Expression Recognition with Soft Computing Techniques Bien, Zeungnam; Kim, Dai Jin; Lee, Sang Wan, International Conference on Soft Computing and Intelligent Systems and 5th International Symposium on Advanced Intelligent Systems (SCIS&ISIS 2004), IFSA, IEEE, 2004-09 |
| Facial Emotional Expression Recognition with Soft Computing Techniques Kim, Dai Jin; Lee, Sang Wan; Bien, Zeungnam, 14th IEEE International Workshop on Robot and Human Interactive Communication (IEEE RO- MAN 2005)1, IEEE, 2005-08 |
| Facial Emotional Expression Recognition with Soft Computing Techniques Kim, Dai Jin; Lee, Sang Wan; Bien, Zeungnam, 6th International Symposium on Advanced Intelligent Systems (ISIS 2005), IFSA, IEEE, 2005-09 |
| Feature Subset Selection of Biosignals for Rehabilitation System Bien, Z. Zenn; Han, Jeong-Su; Lee, Sang Wan, 28th Colloquium of Automation, IAT, 2006-11-11 |
| Footprint-based Person Identication Method using Mat-type Pressure Sensor Lee, Sang Wan; Jung, Jin-Woo; Bien, Zeungnam, International Symposium on Advanced Intelligent Systems (ISIS), KIIS, 2003-09 |
| Fuzzy-state Q-learning-based human behavior suggestion system in intelligent sweet home Bae, Sunha; Lee, Sang Wan; Kim, Yong Soo; Bien, Zeung nam, 2009 IEEE International Conference on Fuzzy Systems, pp.283 - 287, IEEE, 2009-08-20 |
| Gabor Wavelet Neural Network-Based Facial Expression Recognition Lee, Sang Wan; Kim, Dai Jin; Park, Kwang-Hyun; Bien, Zeungnam, International Conference on Artificial Intelligence in Engineering and Technology, IEEE, 2004-08 |
| Goal and context embeddings of the lateral prefrontal cortex during reinforcement learning Sung, Yoondo; Lee, Sang Wan, Neuroscience 2021, Society for Neuroscience, 2021-11-09 |
| Hand gesture recognition using multivariate fuzzy decision tree and user adaptation Jeon, Moon-Jin; Lee, Sang Wan; Bien, Zeung nam, International Journal of Fuzzy System Applications, v.1, no.3, pp.15 - 31, 2011-07 |
| Hand Motion Recognition using Fuzzy Decision Tree Jeon, MoonJin; Do, Jun-Hyeong; Lee, Sang Wan; Park, Kwang-Hyun; Bien, Zeungnam, 8th International Workshop on Human-friendly Welfare Robotic Systems, HWRS-ERC, 2007-10 |
| Hierarchical control architecture regulating competition between model-based and context-dependent model-free reinforcement learning strategies Kim, Dong jae; Park, Geon Young; Lee, Sang Wan, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp.990 - 994, IEEE, 2018-10 |
| How human metacognitive exploration improves reinforcement learning in a sparse reward environment An, Su Jin; De Martino, Benedetto; Lee, Sang Wan, The 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making, RLDM2022, RLDM, 2022-06-08 |
| Impaired Reinforcement Learning Signal Representation in Depression Heo, Suyeon; Kim, Young Hoon; Sung, Yoon Do; Kang, Enoch; Lee, Sang Wan, Neuroscience 2018, Society for Neuroscience, 2018-11 |
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- 1,052 2020 - 2024
- 3,741 2010 - 2019
- 1,885 2000 - 2009
- 470 1990 - 1999
- 29 1983 - 1989