| Distributed Coordinate Descent for Generalized Linear Models with Regularization | Nov 7, 2016 | regression | CodeCode Available | 0 | 5 |
| Order-Independent Structure Learning of Multivariate Regression Chain Graphs | Oct 1, 2019 | regression | CodeCode Available | 0 | 5 |
| AutoLearn - Automated Feature Generation and Selection | Nov 17, 2017 | Automated Feature EngineeringFeature Engineering | CodeCode Available | 0 | 5 |
| Deep and interpretable regression models for ordinal outcomes | Oct 16, 2020 | image-classificationImage Classification | CodeCode Available | 0 | 5 |
| DistNet: Deep Tracking by displacement regression: application to bacteria growing in the Mother Machine | Mar 17, 2020 | Multi-Object TrackingObject Tracking | CodeCode Available | 0 | 5 |
| A Generalization of Convolutional Neural Networks to Graph-Structured Data | Apr 26, 2017 | General Classificationregression | CodeCode Available | 0 | 5 |
| A Quantum Neural Network Regression for Modeling Lithium-ion Battery Capacity Degradation | Feb 6, 2023 | Hybrid Machine Learningregression | CodeCode Available | 0 | 5 |
| Out-of-Distribution Generalization in Kernel Regression | Jun 4, 2021 | BIG-bench Machine LearningOut-of-Distribution Generalization | CodeCode Available | 0 | 5 |
| Parallel Algorithm for Optimal Threshold Labeling of Ordinal Regression Methods | May 21, 2024 | regression | CodeCode Available | 0 | 5 |
| Distributed Coordinate Descent for L1-regularized Logistic Regression | Nov 24, 2014 | regression | CodeCode Available | 0 | 5 |