| Ensemble learning with active example selection for imbalanced biomedical data classification S Oh, MS Lee, BT Zhang IEEE/ACM transactions on computational biology and bioinformatics 8 (2), 316-325, 2010 | 125 | 2010 |
| Activation of notch signaling in a xenograft model of brain metastasis DH Nam, HM Jeon, S Kim, MH Kim, YJ Lee, MS Lee, H Kim, KM Joo, ... Clinical Cancer Research 14 (13), 4059-4066, 2008 | 88 | 2008 |
| Dramaqa: Character-centered video story understanding with hierarchical qa S Choi, KW On, YJ Heo, A Seo, Y Jang, M Lee, BT Zhang Proceedings of the aaai conference on artificial intelligence 35 (2), 1166-1174, 2021 | 64 | 2021 |
| Characterization of biological effect of 1763 MHz radiofrequency exposure on auditory hair cells TQ Huang, MS Lee, EH Oh, F Kalinec, BT Zhang, JS Seo, WY Park International Journal of Radiation Biology 84 (11), 909-915, 2008 | 50 | 2008 |
| Molecular responses of Jurkat T-cells to 1763 MHz radiofrequency radiation TQ Huang, MS Lee, E Oh, BT Zhang, JS Seo, WY Park International Journal of Radiation Biology 84 (9), 734-741, 2008 | 47 | 2008 |
| Selection of neural differentiation‐specific genes by comparing profiles of random differentiation MS Lee, DH Jun, CI Hwang, SS Park, JJ Kang, HS Park, J Kim, JH Kim, ... Stem Cells 24 (8), 1946-1955, 2006 | 45 | 2006 |
| Investigation on performance and energy efficiency of CNN-based object detection on embedded device S Oh, M Kim, D Kim, M Jeong, M Lee 2017 4th International Conference on Computer Applications and Information …, 2017 | 31 | 2017 |
| MGEScan: a Galaxy-based system for identifying retrotransposons in genomes H Lee, M Lee, W Mohammed Ismail, M Rho, GC Fox, S Oh, H Tang Bioinformatics 32 (16), 2502-2504, 2016 | 30 | 2016 |
| AESNB: active example selection with naïve Bayes classifier for learning from imbalanced biomedical data MS Lee, JK Rhee, BH Kim, BT Zhang 2009 Ninth IEEE International Conference on Bioinformatics and …, 2009 | 28 | 2009 |
| Vehicle detection from airborne LiDAR point clouds based on a decision tree algorithm with horizontal and vertical features J Eum, M Bae, J Jeon, H Lee, S Oh, M Lee Remote Sensing Letters 8 (5), 409-418, 2017 | 17 | 2017 |
| TF-IDF based association rule analysis system for medical data H Park, M Lee, S Hwang, S Oh KIPS Transactions on Software and Data Engineering 5 (3), 145-154, 2016 | 17 | 2016 |
| A protein interaction verification system based on a neural network algorithm MS Lee, SS Park, MK Kim 2005 IEEE Computational Systems Bioinformatics Conference-Workshops (CSBW'05 …, 2005 | 14 | 2005 |
| From scratch to sketch: Deep decoupled hierarchical reinforcement learning for robotic sketching agent G Lee, M Kim, M Lee, BT Zhang 2022 International Conference on Robotics and Automation (ICRA), 5553-5559, 2022 | 13 | 2022 |
| Alternating decision tree algorithm for assessing protein interaction reliability MS Lee, S Oh Vietnam Journal of Computer Science 1, 169-178, 2014 | 12 | 2014 |
| Goal-aware cross-entropy for multi-target reinforcement learning K Kim, MW Lee, Y Kim, JH Ryu, M Lee, BT Zhang Advances in Neural Information Processing Systems 34, 2783-2795, 2021 | 11 | 2021 |
| Characterization of microbial associations in human oral microbiome F Liu, Y Wang, TA Burkhart, MF González Penedo, S Ma, MS Lee, S Oh, ... Bio-medical materials and engineering 24 (6), 3737-3744, 2014 | 8 | 2014 |
| Accelerating deep reinforcement learning using human demonstration data based on dual replay buffer management and online frame skipping S Yeo, S Oh, M Lee 2019 IEEE International Conference on Big Data and Smart Computing (BigComp …, 2019 | 7 | 2019 |
| UniPath: a knowledge representation system for biological pathways MS Lee, SS Park, HS Park Genome Informatics 14, 681-682, 2003 | 7 | 2003 |
| Accelerated deep reinforcement learning with efficient demonstration utilization techniques S Yeo, S Oh, M Lee World Wide Web 24, 1275-1297, 2021 | 5 | 2021 |
| High-performance parallel approaches for three-dimensional light detection and ranging point clouds gridding PNM Rizki, H Lee, M Lee, S Oh Journal of Applied Remote Sensing 11 (1), 016011-016011, 2017 | 5 | 2017 |
