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regression

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Showing 3551–3600 of 9424 papers

TitleStatusHype
Carefully choose the baseline: Lessons learned from applying XAI attribution methods for regression tasks in geoscience—0
Look in Different Views: Multi-Scheme Regression Guided Cell Instance Segmentation—0
Shallow neural network representation of polynomials—0
Inference on Strongly Identified Functionals of Weakly Identified Functions—0
Error Parity Fairness: Testing for Group Fairness in Regression Tasks—0
Prediction of Seismic Intensity Distributions Using Neural Networks—0
Delaunay-Triangulation-Based Learning with Hessian Total-Variation RegularizationCode0
Regression modelling of spatiotemporal extreme U.S. wildfires via partially-interpretable neural networksCode0
Transformer Networks for Predictive Group Elevator Control—0
Acceleration of Subspace Learning Machine via Particle Swarm Optimization and Parallel Processing—0
Easy Differentially Private Linear Regression—0
Perspective Reconstruction of Human Faces by Joint Mesh and Landmark RegressionCode0
Multinomial Logistic Regression Algorithms via Quadratic GradientCode0
MTCSNN: Multi-task Clinical Siamese Neural Network for Diabetic Retinopathy Severity PredictionCode0
SSP-Pose: Symmetry-Aware Shape Prior Deformation for Direct Category-Level Object Pose Estimation—0
Dynamic Bayesian Learning for Spatiotemporal Mechanistic ModelsCode0
Machine learning in front of statistical methods for prediction spread SARS-CoV-2 in Colombia—0
Comparison of Forecasting Methods of House Electricity Consumption for Honda Smart HomeCode0
Interaction Decompositions for Tensor Network Regression—0
Heatmap Regression for Lesion Detection using Pointwise AnnotationsCode0
Towards Coupling Full-disk and Active Region-based Flare Prediction for Operational Space Weather ForecastingCode0
Neural Networks for Scalar Input and Functional OutputCode0
Boosting with copula-based components—0
Statistical Properties of the log-cosh Loss Function Used in Machine Learning—0
Partial Least Square Regression via Three-factor SVD-type Manifold Optimization for EEG Decoding—0
Interpretable Polynomial Neural Ordinary Differential Equations—0
Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality—0
Learning to Learn to Predict Performance Regressions in Production at Meta—0
Quantile Random-Coefficient Regression with Interactive Fixed Effects: Heterogeneous Group-Level Policy Evaluation—0
Preserving Fine-Grain Feature Information in Classification via Entropic RegularizationCode0
Improved Point Estimation for the Rayleigh Regression Model—0
Task-Balanced Distillation for Object Detection—0
Multi-modal volumetric concept activation to explain detection and classification of metastatic prostate cancer on PSMA-PET/CTCode0
End-to-end deep learning for directly estimating grape yield from ground-based imagery—0
Bayesian Optimization with Informative Covariance—0
The Power and Limitation of Pretraining-Finetuning for Linear Regression under Covariate Shift—0
Graph Signal Processing for Heterogeneous Change Detection Part II: Spectral Domain Analysis—0
Doubly Robust Estimation of Local Average Treatment Effects Using Inverse Probability Weighted Regression Adjustment—0
A penalized two-pass regression to predict stock returns with time-varying risk premia—0
An Evidential Neural Network Model for Regression Based on Random Fuzzy Numbers—0
Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose Regression and Odometry-aided Absolute Pose Regression—0
LiDAR-based localization using universal encoding and memory-aware regressionCode0
The Effect of Omitted Variables on the Sign of Regression Coefficients—0
INSightR-Net: Interpretable Neural Network for Regression using Similarity-based Comparisons to Prototypical ExamplesCode0
Robust Rayleigh Regression Method for SAR Image Processing in Presence of Outliers—0
Same Root Different Leaves: Time Series and Cross-Sectional Methods in Panel DataCode0
Model selection with Gini indices under auto-calibration—0
HOB-CNN: Hallucination of Occluded Branches with a Convolutional Neural Network for 2D Fruit Trees—0
Analysis and Design of Quadratic Neural Networks for Regression, Classification, and Lyapunov Control of Dynamical Systems—0
Differentially Private Estimation via Statistical Depth—0
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All datasetsCalifornia Housing PricesConcrete Compressive StrengthMedical Cost Personal DatasetSynthetic: y = x * sin xADORECar_Price_Prediction

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.79—Unverified
2Baseline RegressionR2 Score0.58—Unverified
3Mimic / SurrogateR2 Score0.57—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.86—Unverified
2Baseline RegressionR2 Score0.59—Unverified
3Mimic / SurrogateR2 Score0.58—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.87—Unverified
2Baseline RegressionR2 Score0.78—Unverified
3Mimic / SurrogateR2 Score0.78—Unverified
#ModelMetricClaimedVerifiedStatus
1Neural NetworkR2 Score0.98—Unverified
2Baseline RegressionR2 Score-0.01—Unverified
3Mimic / SurrogateR2 Score-0.01—Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoost-MACCSmicro-averaged RMSE0.93—Unverified
2RF-ToxPrintchemical macro-average RMSE0.85—Unverified
#ModelMetricClaimedVerifiedStatus
1Linear and Decision Tree RegressionR Squared86.84—Unverified