| Distributional Refinement Network: Distributional Forecasting via Deep Learning | Jun 3, 2024 | Deep Learningregression | CodeCode Available | 0 | 5 |
| Disturbing Target Values for Neural Network Regularization | Oct 11, 2021 | L2 Regularizationregression | CodeCode Available | 0 | 5 |
| DP-UTIL: Comprehensive Utility Analysis of Differential Privacy in Machine Learning | Dec 24, 2021 | BIG-bench Machine LearningInference Attack | CodeCode Available | 0 | 5 |
| ECG-Based Electrolyte Prediction: Evaluating Regression and Probabilistic Methods | Dec 21, 2022 | Binary Classificationregression | CodeCode Available | 0 | 5 |
| A New Look at an Old Problem: A Universal Learning Approach to Linear Regression | May 12, 2019 | regression | CodeCode Available | 0 | 5 |
| Boosting Binary Optimization via Binary Classification: A Case Study of Job Shop Scheduling | Aug 31, 2018 | Binary ClassificationEvolutionary Algorithms | CodeCode Available | 0 | 5 |
| Boosting CNN-based primary quantization matrix estimation of double JPEG images via a classification-like architecture | Dec 1, 2020 | Image ForensicsQuantization | CodeCode Available | 0 | 5 |
| Boosting Factor-Specific Functional Historical Models for the Detection of Synchronisation in Bioelectrical Signals | Sep 20, 2016 | EEGElectroencephalogram (EEG) | CodeCode Available | 0 | 5 |
| Distributed Multivariate Regression Modeling For Selecting Biomarkers Under Data Protection Constraints | Mar 1, 2018 | regressionVariable Selection | CodeCode Available | 0 | 5 |
| Distributed Semi-supervised Fuzzy Regression with Interpolation Consistency Regularization | Sep 18, 2022 | regression | CodeCode Available | 0 | 5 |