| Functional Frank-Wolfe Boosting for General Loss Functions | Oct 9, 2015 | Binary ClassificationGeneral Classification | —Unverified | 0 |
| Functional Gaussian processes for regression with linear PDE models | May 29, 2014 | Gaussian Processesregression | —Unverified | 0 |
| A Tutorial on Sparse Gaussian Processes and Variational Inference | Dec 27, 2020 | Bayesian InferenceGaussian Processes | —Unverified | 0 |
| Functional instrumental variable regression with an application to estimating the impact of immigration on native wages | Oct 25, 2021 | regression | —Unverified | 0 |
| Functional Inverse Regression in an Enlarged Dimension Reduction Space | Mar 12, 2015 | Dimensionality Reductionregression | —Unverified | 0 |
| Deep Head Pose Estimation from Depth Data for In-car Automotive Applications | Mar 6, 2017 | Head Pose EstimationPose Estimation | —Unverified | 0 |
| Functional Mixture Discriminant Analysis with hidden process regression for curve classification | Dec 25, 2013 | General Classificationregression | —Unverified | 0 |
| Comprehensive Review On Twin Support Vector Machines | May 1, 2021 | regression | —Unverified | 0 |
| Functional Partial Least-Squares: Adaptive Estimation and Inference | Feb 16, 2024 | regression | —Unverified | 0 |
| Function approximation by deep neural networks with parameters \0, 12, 1, 2\ | Mar 15, 2021 | regression | —Unverified | 0 |
| The Reconstruction Approach: From Interpolation to Regression | May 25, 2018 | Experimental Designregression | —Unverified | 0 |
| Spiking Neural Operators for Scientific Machine Learning | May 17, 2022 | Edge-computingregression | —Unverified | 0 |
| Fundamental Limits and Tradeoffs in Invariant Representation Learning | Dec 19, 2020 | Domain AdaptationFairness | —Unverified | 0 |
| Fundamental Tradeoffs in Distributionally Adversarial Training | Jan 15, 2021 | Binary Classificationregression | —Unverified | 0 |
| FundusQ-Net: a Regression Quality Assessment Deep Learning Algorithm for Fundus Images Quality Grading | May 2, 2022 | Binary ClassificationImage Quality Assessment | —Unverified | 0 |
| Funneled Bayesian Optimization for Design, Tuning and Control of Autonomous Systems | Oct 2, 2016 | Bayesian OptimizationExperimental Design | —Unverified | 0 |
| Further results on structured regression for multi-scale networks | Sep 2, 2019 | regression | —Unverified | 0 |
| Fused LASSO as Non-Crossing Quantile Regression | Mar 20, 2024 | quantile regressionregression | —Unverified | 0 |
| Fusing Pretrained ViTs with TCNet for Enhanced EEG Regression | Apr 2, 2024 | EEGElectroencephalogram (EEG) | —Unverified | 0 |
| Fusing Structure from Motion and Simulation-Augmented Pose Regression from Optical Flow for Challenging Indoor Environments | Apr 14, 2023 | Optical Flow EstimationPose Prediction | —Unverified | 0 |
| Fusion of Deep and Shallow Features for Face Kinship Verification | Dec 16, 2023 | Kinship Verificationregression | —Unverified | 0 |
| Deep Haar Scattering Networks in Pattern Recognition: A promising approach | Nov 29, 2018 | ClassificationGeneral Classification | —Unverified | 0 |
| Generalization Certificates for Adversarially Robust Bayesian Linear Regression | Feb 20, 2025 | Adversarial RobustnessBayesian Inference | —Unverified | 0 |
| Futures Quantitative Investment with Heterogeneous Continual Graph Neural Network | Mar 29, 2023 | Change Point DetectionDecision Making | —Unverified | 0 |
| DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model | Aug 28, 2018 | Head Pose EstimationPose Estimation | —Unverified | 0 |