| Data-driven cervical cancer prediction model with outlier detection and over-sampling methods MF Ijaz, M Attique, Y Son Sensors 20 (10), 2809, 2020 | 208 | 2020 |
| Dynamical properties of ion-acoustic waves in space plasma and its application to image encryption J Tamang, JDD Nkapkop, MF Ijaz, PK Prasad, N Tsafack, A Saha, ... IEEE Access 9, 18762-18782, 2021 | 65 | 2021 |
| An optimized framework for energy-resource allocation in a cloud environment based on the whale optimization algorithm S Goyal, S Bhushan, Y Kumar, AHS Rana, MR Bhutta, MF Ijaz, Y Son Sensors 21 (5), 1583, 2021 | 64 | 2021 |
| Classification of children’s sitting postures using machine learning algorithms YM Kim, Y Son, W Kim, B Jin, MH Yun Applied Sciences 8 (8), 1280, 2018 | 53 | 2018 |
| Forecasting daily temperatures with different time interval data using deep neural networks S Lee, YS Lee, Y Son Applied Sciences 10 (5), 1609, 2020 | 50 | 2020 |
| Generalized support vector data description for anomaly detection M Turkoz, S Kim, Y Son, MK Jeong, EA Elsayed Pattern Recognition 100, 107119, 2020 | 48 | 2020 |
| Forecasting trends of high-frequency KOSPI200 index data using learning classifiers Y Son, D Noh, J Lee Expert Systems with Applications 39 (14), 11607-11615, 2012 | 41 | 2012 |
| Nonparametric machine learning models for predicting the credit default swaps: An empirical study Y Son, H Byun, J Lee Expert Systems with Applications 58, 210-220, 2016 | 37 | 2016 |
| Artificial intelligence in positioning between mandibular third molar and inferior alveolar nerve on panoramic radiography E Choi, S Lee, E Jeong, S Shin, H Park, S Youm, Y Son, KM Pang Scientific Reports 12 (1), 2456, 2022 | 34 | 2022 |
| Predicting market impact costs using nonparametric machine learning models S Park, J Lee, Y Son PLoS One 11 (2), e0150243, 2016 | 23 | 2016 |
| Active learning using transductive sparse Bayesian regression Y Son, J Lee Information Sciences 374, 240-254, 2016 | 21 | 2016 |
| Chronic disease prediction using character-recurrent neural network in the presence of missing information C Kim, Y Son, S Youm Applied Sciences 9 (10), 2170, 2019 | 20 | 2019 |
| Voronoi cell-based clustering using a kernel support K Kim, Y Son, J Lee IEEE Transactions on Knowledge and Data Engineering 27 (4), 1146-1156, 2014 | 20 | 2014 |
| Design of an always-on image sensor using an analog lightweight convolutional neural network J Choi, S Lee, Y Son, SY Kim Sensors 20 (11), 3101, 2020 | 19 | 2020 |
| Multitask learning with single gradient step update for task balancing S Lee, Y Son Neurocomputing 467, 442-453, 2022 | 16 | 2022 |
| Development of methodology for classification of user experience (UX) in online customer review Y Son, W Kim Journal of Retailing and Consumer Services 71, 103210, 2023 | 12 | 2023 |
| Fuzzy kernel K-medoids clustering algorithm for uncertain data objects B Tavakkol, Y Son Pattern Analysis and Applications 24 (3), 1287-1302, 2021 | 11 | 2021 |
| Missing value imputation in stature estimation by learning algorithms using anthropometric data: a comparative study Y Son, W Kim Applied Sciences 10 (14), 5020, 2020 | 11 | 2020 |
| Multi-order graph attention network for water solubility prediction and interpretation S Lee, H Park, C Choi, W Kim, KK Kim, YK Han, J Kang, CJ Kang, Y Son Scientific Reports 13 (1), 957, 2023 | 10 | 2023 |
| Learning representative exemplars using one-class Gaussian process regression Y Son, S Lee, S Park, J Lee Pattern Recognition 74, 185-197, 2018 | 8 | 2018 |
Jaewook LeeProfessor of Industrial Engineering, Seoul National UniversityVerified email at snu.ac.kr
![Muhammad Fazal Ijaz, Worlds Top 2% Scientist [2022,2023]](https://scholar.googleusercontent.com/citations?view_op=small_photo&user=ukU967UAAAAJ&citpid=5)
