| Gradient Boosting Mapping for Dimensionality Reduction and Feature Extraction | May 14, 2024 | Dimensionality Reductionregression | —Unverified | 0 |
| Curvature Augmented Manifold Embedding and Learning | Mar 21, 2024 | Data VisualizationDimensionality Reduction | CodeCode Available | 0 |
| Learning Active Subspaces and Discovering Important Features with Gaussian Radial Basis Functions Neural Networks | Jul 11, 2023 | Decision MakingDimensionality Reduction | CodeCode Available | 0 |
| Supervised Manifold Learning via Random Forest Geometry-Preserving Proximities | Jul 3, 2023 | Dimensionality ReductionSupervised dimensionality reduction | —Unverified | 0 |
| Yet Another Algorithm for Supervised Principal Component Analysis: Supervised Linear Centroid-Encoder | Jun 7, 2023 | Dimensionality ReductionSupervised dimensionality reduction | —Unverified | 0 |
| K-SpecPart: Supervised embedding algorithms and cut overlay for improved hypergraph partitioning | May 7, 2023 | Dimensionality Reductionhypergraph partitioning | —Unverified | 0 |
| Non-intrusive surrogate modelling using sparse random features with applications in crashworthiness analysis | Dec 30, 2022 | Dimensionality ReductionSupervised dimensionality reduction | —Unverified | 0 |
| Gravitational Dimensionality Reduction Using Newtonian Gravity and Einstein's General Relativity | Oct 30, 2022 | Dimensionality ReductionMetric Learning | CodeCode Available | 0 |
| Affective Manifolds: Modeling Machine's Mind to Like, Dislike, Enjoy, Suffer, Worry, Fear, and Feel Like A Human | Aug 29, 2022 | Dimensionality ReductionMetric Learning | CodeCode Available | 0 |
| Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks | Feb 15, 2022 | Decision MakingDensity Estimation | —Unverified | 0 |
