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regression

Papers

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Showing 9201–9250 of 9424 papers

TitleStatusHype
Emotionally-Informed Models for Detecting Moments of Change and Suicide Risk Levels in Longitudinal Social Media Data—0
Emotion Recognition Using Convolutional Neural Networks—0
Empathy and Distress Prediction using Transformer Multi-output Regression and Emotion Analysis with an Ensemble of Supervised and Zero-Shot Learning Models—0
EMPHASIS: An Emotional Phoneme-based Acoustic Model for Speech Synthesis System—0
Empirical Asset Pricing via Ensemble Gaussian Process Regression—0
Empirical Bayes Estimation for Lasso-Type Regularizers: Analysis of Automatic Relevance Determination—0
Empirical Decomposition of the IV-OLS Gap with Heterogeneous and Nonlinear Effects—0
Empirical entropy, minimax regret and minimax risk—0
Empirical Models of the Time Evolution of SPX Option Prices—0
Regression-based Physics Informed Neural Networks (Reg-PINNs) for Magnetopause Tracking—0
Empirical risk minimization is consistent with the mean absolute percentage error—0
Empirical Strategy for Stretching Probability Distribution in Neural-network-based Regression—0
Empirical Study of Deep Learning for Text Classification in Legal Document Review—0
Employee Attrition Prediction—0
EmpNa at WASSA 2021: A Lightweight Model for the Prediction of Empathy, Distress and Emotions from Reactions to News Stories—0
Emulation as an Accurate Alternative to Interpolation in Sampling Radiative Transfer Codes—0
Enabling Machine Learning Algorithms for Credit Scoring -- Explainable Artificial Intelligence (XAI) methods for clear understanding complex predictive models—0
Encog: Library of Interchangeable Machine Learning Models for Java and C#—0
Encompassing Tests for Nonparametric Regressions—0
Encrypted accelerated least squares regression—0
IV Regressions without Exclusion Restrictions—0
End-to-end deep learning for directly estimating grape yield from ground-based imagery—0
End-to-End Dense Video Grounding via Parallel Regression—0
End-to-end Learning of Object Motion Estimation from Retinal Events for Event-based Object Tracking—0
End-to-End Parkinson Disease Diagnosis using Brain MR-Images by 3D-CNN—0
End-to-End Steering for Autonomous Vehicles via Conditional Imitation Co-Learning—0
LTS-NET: End-to-end Unsupervised Learning of Long-Term 3D Stable objects—0
Energy Trees: Regression and Classification With Structured and Mixed-Type Covariates—0
Enforcing asymptotic behavior with DNNs for approximation and regression in finance—0
Enhanced Convolutional Neural Tangent Kernels—0
Enhanced Human-Robot Collaboration using Constrained Probabilistic Human-Motion Prediction—0
Enhancing Automated Essay Scoring Performance via Fine-tuning Pre-trained Language Models with Combination of Regression and Ranking—0
Enhancing Causal Discovery in Financial Networks with Piecewise Quantile Regression—0
Enhancing Classifier Conservativeness and Robustness by Polynomiality—0
HawkEye: Advancing Robust Regression with Bounded, Smooth, and Insensitive Loss Function—0
Enhancing Feature Selection and Interpretability in AI Regression Tasks Through Feature Attribution—0
Enhancing LambdaMART Using Oblivious Trees—0
Enhancing Microgrid Performance Prediction with Attention-based Deep Learning Models—0
Enhancing Model Interpretability and Accuracy for Disease Progression Prediction via Phenotype-Based Patient Similarity Learning—0
Enhancing Polynomial Chaos Expansion Based Surrogate Modeling using a Novel Probabilistic Transfer Learning Strategy—0
Enhancing Robustness of Gradient-Boosted Decision Trees through One-Hot Encoding and Regularization—0
Enhancing Social Media Post Popularity Prediction with Visual Content—0
Enhancing Supply Chain Resilience: A Machine Learning Approach for Predicting Product Availability Dates Under Disruption—0
Enhancing Symbolic Regression and Universal Physics-Informed Neural Networks with Dimensional Analysis—0
Enhancing VMAF through New Feature Integration and Model Combination—0
Ensemble Forecasting of Monthly Electricity Demand using Pattern Similarity-based Methods—0
EnsembleIV: Creating Instrumental Variables from Ensemble Learners for Robust Statistical Inference—0
Ensemble Kalman Filtering for Online Gaussian Process Regression and Learning—0
Ensemble Kernel Methods, Implicit Regularization and Determinantal Point Processes—0
Ensemble learning for blending gridded satellite and gauge-measured precipitation data—0
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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