| 2023-12 | Stop-loss adjusted labels for machine learning-based trading of risky assets | Hwang, Yoontae; Park, Junpyo, et al | ARTICLE | 216 |
| 2023-10 | Semi-parametric contextual bandits with graph-Laplacian regularization | Choi, Young-Geun; Kim, Gi-Soo, et al | ARTICLE | 108 |
| 2023-09 | MMP Net: A feedforward neural network model with sequential inputs for representing continuous multistage manufacturing processes without intermediate outputs | Cho, Hojin; Kim, Kyeongbin, et al | ARTICLE | 26 |
| 2023-08 | An Overview of Machine Learning for Asset Management | Lee, Yongjae; Thompson, John R. J., et al | ARTICLE | 158 |
| 2023-07 | Value Function Gradient Learning for Large-Scale Multistage Stochastic Programming Problems | Lee, Jinkyu; Bae, Sanghyeon, et al | ARTICLE | 1966 |
| 2023-07 | Developing a semi-supervised learning and ordinal classification framework for quality level prediction in manufacturing | Kim, Gyeongho; Choi, Jae Gyeong, et al | ARTICLE | 438 |
| 2023-07 | Robustness in Portfolio Optimization | Kim, Jang Ho; Kim, Woo Chang, et al | ARTICLE | 252 |
| 2023-07 | Large-scale financial planning via a partially observable stochastic dual dynamic programming framework | Lee, Jinkyu; Kwon, Do-Gyun, et al | ARTICLE | 238 |
| 2023-06 | From technology enablers to circular economy: Data-driven understanding of the overview of servitization and product-service systems in Industry 4.0 | Kim, Minjun; Lim, Chiehyeon, et al | ARTICLE | 378 |
| 2023-06 | Chemistry-informed machine learning: Using chemical property features to improve gas classification performance | Kim, Yeram; Lim, Chiehyeon, et al | ARTICLE | 577 |
| 2023-06 | Identifying household finance heterogeneity via deep clustering | Hwang, Yoontae; Lee, Yongjae, et al | ARTICLE | 996 |
| 2023-06 | Non-asymptotic estimates for TUSLA algorithm for non-convex learning with applications to neural networks with ReLU activation function | Lim, Dong-Young; Neufeld, Ariel, et al | ARTICLE | 240 |
| 2023-06 | The quantum threat to blockchain: summary and timeline analysis | Schärer, Kai; Comuzzi, Marco | ARTICLE | 312 |
| 2023-06 | Towards Customer Outcome Management in Smart Manufacturing | Grefen, Paul; Vanderfeesten, Irene, et al | ARTICLE | 298 |
| 2023-06 | Recent Advances in Applying Machine Learning and Deep Learning to Detect Upper Gastrointestinal Tract Lesions | Vania, Malinda; Tama, Bayu Adhi, et al | ARTICLE | 328 |
| 2023-05 | Recent advances in the application of deep learning for fault diagnosis of rotating machinery using vibration signals | Tama, Bayu Adhi; Vania, Malinda, et al | ARTICLE | 1059 |
| 2023-05 | A product acceptance decision-making method based on process capability with considering gauge measurement errors | Rakhmawati, Dwi Yuli; Lee, Junghye | ARTICLE | 775 |
| 2023-05 | Efficient homomorphic encryption framework for privacy-preserving regression | Byun, Junyoung; Park, Saerom, et al | ARTICLE | 460 |
| 2023-04 | Sensor drift compensation for gas mixture classification in batch experiments | Oh, YongKyung; Lee, Juhui, et al | ARTICLE | 382 |
| 2023-03 | Quantifying incident impacts and identifying influential features in urban traffic networks | Lee, JuYeong; Kwak, JiIn, et al | ARTICLE | 1120 |
