Showing results 21 to 40 of 55
Emergence of visual symmetry perception in deep neural networks Lew, Jaeyoung; Song, Min; Paik, Se-Bum, Neuroscience 2022, Society for Neuroscience, 2022-11-14 |
Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models Park, Geon Yeong; Kim, jeongsol; Kim, Beomsu; Lee, Sang Wan; Ye, Jong Chul, 37th Conference on Neural Information Processing Systems, NeurIPS 2023, Neural information processing systems foundation, 2023-12 |
Estimating the level of inference using an order-mimic agent Joo, Haram; Jeong, Inhyeok; Lee, Sang Wan, the 6th Asian Conference on Pattern Recognition (ACPR2021), pp.116 - 126, Korea University Institute for Artificial Intelligence, Korea Brain Education Society, 2021-11-10 |
F2-Softmax: Diversifying neural text generation via frequency factorized softmax Choi, Byung-Ju; Hong, Jimin; Park, David; Lee, Sang Wan, The 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, pp.9167 - 9182, Association for Computational Linguistics, 2020-11 |
Facial Emotional Expression Recognition with Soft Computing Techniques: Real World Applicable Systems Lee, Sang Wan; Kim, DJ; Bien, Z, IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2005), IEEE, 2005-05 |
Foresight on the effect of technology advancement on the quality of life by developing narrative scenarios Park, D; Oh, E; Jeong, Jaeseung, 2008 Portland International Center for Management of Engineering and Technology, Technology Management for a Sustainable Economy, PICMET '08, pp.2027 - 2040, 123, 2008-07-27 |
Gabor Wavelet Neural Network-Based Facial Expression Recognition Lee, Sang Wan; Kim, Dai Jin; Park, Kwang-Hyun; Bien, Zeungnam, Joint 8th World Multi-Conference on Systems, Cybernetics and Informatics, IIIS, 2004-07 |
Goal-Driven Atari Environment Kim, Myeong Hyeon; Kim, Dongjae; Jo, Eunsong; Lee, Sang Wan, 10th International Winter Conference on Brain-Computer Interface (BCI), IEEE, 2022-02 |
Human Uncertainty Inference via Deterministic Ensemble Neural Networks Cha, Yujin; Lee, Sang Wan, 35th AAAI Conference on Artificial Intelligence / 33rd Conference on Innovative Applications of Artificial Intelligence / 11th Symposium on Educational Advances in Artificial Intelligence, pp.5877 - 5886, ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE, 2021-02 |
Identification of attention state for menu-selection using In-Ear EEG recording Jeong, Dong-Hwa; Jeong, Jaeseung; Chae, YongWook; Choi, HY, 5th International Winter Conference on Brain-Computer Interface, BCI 2017, Institute of Electrical and Electronics Engineers Inc., 2017-01-09 |
Individual variance for minimizing competition in a multi-agent system Ock, Chanmee; Kim, Gwangsu; Paik, Se-Bum, Neuroscience 2023, Society for Neuroscience, 2023-11-11 |
Learning Human Behavior Patterns for Proactive Service System: Agglomerative Fuzzy Clustering-based Fuzzy-state Q-learning Lee, Sang Wan; Kim, Yong Soo; Bien, Zeungnam, 2008 International Conference on Computational Intelligence for Modelling Control and Automation, CIMCA 2008, pp.362 - 367, IEEE Computer society, 2008-12 |
Managing bad news in social media: A case study on Domino's Pizza crisis Park, Jaram; Cha, Meeyoung; Kim, Hoh; Jeong, Jaeseung, 6th International AAAI Conference on Weblogs and Social Media, ICWSM 2012, pp.282 - 289, Association for the Advancement of Artificial Intelligence (AAAI), 2012-06-04 |
Meta-BCI: Perspectives on a role of self-supervised learning in meta brain computer interface Kang, Young Ho; Kim, Dongjae; Lee, Sang Wan, 10th International Winter Conference on Brain-Computer Interface (BCI), IEEE, 2022-02 |
Metacognition for a Common Model of Cognition Kralik, J; Lee, J; Rosenbloom, P; Jackson, P; Epstein, S; Romero, O; Sanz, R; et al, AAAI 2018 Fall Symposium, AAAI(the Association for the Advancement of Artificial Intelligence), 2018-10-18 |
Midbrain dopamine activity during reinforcement learning reflects bias-variance tradeoff Song, Minryung; Huh, Sue Hee; Shin, Jung Whan; Jung, Min Whan; Lee, Sang Wan, Computational and Systems Neuroscience, COSYNE 2021, Computational and Systems Neuroscience (COSYNE), 2021-02-24 |
Multivariate analysis of Alzheimer's disease : Classification based on space-frequency characteristics of EEG time series Jeong Jaeseung; Charles-Francois Latchoumane; Francois Vialatte; T. Musha; Andrejz Cichocki, WCE ICSBB'08, WCE ICSBB, 2008-07 |
Noninvasive brain-computer interface-based control of humanoid navigation Chae, Yongwook; Jeong, Jaeseung; Jo, Sungho, IEEE International Conference on Intelligent Robots and Systems, IEEE Robotics and Automation Society (RAS), 2011-09-25 |
Optimization of EEG frequency bands for improved diagnosis of Alzheimer disease Jeong, Jaeseung; Mohamed Elgendi; Francois Vialatte; Andrzej Cichocki; Charles Latchoumane; Justin Dauwels, the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, IEEE Engineering in Medicine and Biology Society, 2011-08-30 |
PAR-kinson’s Disease? ; Role of Poly (ADP-ribose) (PAR) in Neurodegenerative Diseases Kam, Tae-In, Neurodegeneration: New Biology Guiding the Next Generation of Therapeutic Development, Keystone Symposia on Molecular and Cellular Biology, 2023-05-17 |
Discover