Pre-training of deep bidirectional protein sequence representations with structural information S Min, S Park, S Kim, HS Choi, B Lee, S Yoon IEEE Access 9, 123912-123926, 2021 | 46 | 2021 |
XProtoNet: diagnosis in chest radiography with global and local explanations E Kim, S Kim, M Seo, S Yoon Proceedings of the IEEE/CVF conference on computer vision and pattern ¡¦, 2021 | 42 | 2021 |
Towards a Rigorous Evaluation of Time-series Anomaly Detection S Kim, K Choi, HS Choi, B Lee, S Yoon Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI) 2022, 2022 | 41 | 2022 |
Interpretation of NLP models through input marginalization S Kim, J Yi, E Kim, S Yoon Empirical Methods in Natural Language Processing conference (EMNLP) 2020, 2020 | 40 | 2020 |
Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization E Kim, S Kim, J Lee, H Kim, S Yoon Computer Vision and Pattern Recognition (CVPR), 2022, 2022 | 18 | 2022 |
Pediatric sleep stage classification using multi-domain hybrid neural networks Y Jeon, S Kim, HS Choi, YG Chung, SA Choi, H Kim, S Yoon, H Hwang, ... IEEE Access 7, 96495-96505, 2019 | 18 | 2019 |
Learning-based instantaneous drowsiness detection using wired and wireless electroencephalography HS Choi, S Min, S Kim, H Bae, JE Yoon, I Hwang, D Oh, CH Yun, S Yoon IEEE Access 7, 146390-146402, 2019 | 13 | 2019 |
Xgboost-based instantaneous drowsiness detection framework using multitaper spectral information of electroencephalography HS Choi, S Kim, JE Oh, JE Yoon, JA Park, CH Yun, S Yoon Proceedings of the 2018 ACM International Conference on Bioinformatics ¡¦, 2018 | 13 | 2018 |
Imbalanced data classification via cooperative interaction between classifier and generator HS Choi, D Jung, S Kim, S Yoon IEEE Transactions on Neural Networks and Learning Systems 33 (8), 3343-3356, 2021 | 11 | 2021 |
Grounding Visual Representations with Texts for Domain Generalization S Min, N Park, S Kim, S Park, J Kim European Conference on Computer Vision (ECCV) 2022, 2022 | 4 | 2022 |
Information-theoretic visual explanation for black-box classifiers J Yi, E Kim, S Kim, S Yoon arXiv preprint arXiv:2009.11150, 2020 | 4 | 2020 |
Grounding Counterfactual Explanation of Image Classifiers to Textual Concept Space S Kim, J Oh, S Lee, S Yu, J Do, T Taghavi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern ¡¦, 2023 | | 2023 |