| Differentially Private Ensemble Classifiers for Data Streams | Dec 9, 2021 | regression | CodeCode Available | 0 | 5 |
| Differentially Private Kernel Inducing Points using features from ScatterNets (DP-KIP-ScatterNet) for Privacy Preserving Data Distillation | Jan 31, 2023 | GPUPrivacy Preserving | CodeCode Available | 0 | 5 |
| Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies | Oct 12, 2022 | Privacy Preservingquantile regression | CodeCode Available | 0 | 5 |
| CDRNet: Accurate Cup-to-Disc Ratio Measurement with Tight Bounding Box Supervision in Fundus Photography Using Deep Learning | Oct 3, 2021 | Image SegmentationMultiple Instance Learning | CodeCode Available | 0 | 5 |
| Efficient energy consumption prediction model for a data analytic-enabled industry building in a smart city | Aug 9, 2020 | Predictionregression | CodeCode Available | 0 | 5 |
| Efficient expectation propagation for posterior approximation in high-dimensional probit models | Sep 4, 2023 | regression | CodeCode Available | 0 | 5 |
| Dead or Murdered? Predicting Responsibility Perception in Femicide News Reports | Sep 24, 2022 | regression | CodeCode Available | 0 | 5 |
| Differentially Private Distributed Bayesian Linear Regression with MCMC | Jan 31, 2023 | Bayesian InferencePrivacy Preserving | CodeCode Available | 0 | 5 |
| Differentially Private Post-Processing for Fair Regression | May 7, 2024 | Density EstimationFairness | CodeCode Available | 0 | 5 |
| Distributed Semi-supervised Fuzzy Regression with Interpolation Consistency Regularization | Sep 18, 2022 | regression | CodeCode Available | 0 | 5 |
| Efficient Hierarchical Bayesian Inference for Spatio-temporal Regression Models in Neuroimaging | Nov 2, 2021 | Bayesian InferenceEEG | CodeCode Available | 0 | 5 |
| Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits | Feb 17, 2024 | Computational EfficiencyEfficient Exploration | CodeCode Available | 0 | 5 |
| Efficient online learning with kernels for adversarial large scale problems | Feb 26, 2019 | regression | CodeCode Available | 0 | 5 |
| CTT-Net: A Multi-view Cross-token Transformer for Cataract Postoperative Visual Acuity Prediction | Dec 12, 2022 | regression | CodeCode Available | 0 | 5 |
| A Subsampling Based Neural Network for Spatial Data | Nov 6, 2024 | regression | CodeCode Available | 0 | 5 |
| Diagnostic Tool for Out-of-Sample Model Evaluation | Jun 22, 2022 | Diagnosticmodel | CodeCode Available | 0 | 5 |
| CT-based Subchondral Bone Microstructural Analysis in Knee Osteoarthritis via MR-Guided Distillation Learning | Jul 10, 2023 | regression | CodeCode Available | 0 | 5 |
| A Study on Survival Analysis Methods Using Neural Network to Prevent Cancers | Sep 27, 2023 | regressionSurvival Analysis | CodeCode Available | 0 | 5 |
| Decentralized Kernel Ridge Regression Based on Data-Dependent Random Feature | May 13, 2024 | regression | CodeCode Available | 0 | 5 |
| Dictionary-based Manifold Learning | Feb 1, 2023 | regression | CodeCode Available | 0 | 5 |
| DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks | Oct 1, 2019 | 3D geometryLocal Distortion | CodeCode Available | 0 | 5 |
| Decentralized State Estimation In A Dimension-Reduced Linear Regression | Oct 13, 2022 | Dimensionality Reductionregression | CodeCode Available | 0 | 5 |
| End-to-End Learning of Geometry and Context for Deep Stereo Regression | Mar 13, 2017 | regressionStereo-LiDAR Fusion | CodeCode Available | 0 | 5 |
| Developing a machine learning framework for estimating soil moisture with VNIR hyperspectral data | Apr 24, 2018 | BIG-bench Machine Learningfeature selection | CodeCode Available | 0 | 5 |
| Diagnosing COVID-19 Severity from Chest X-Ray Images Using ViT and CNN Architectures | Feb 23, 2025 | regressionseverity prediction | CodeCode Available | 0 | 5 |
