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regression

Papers

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Showing 2826–2850 of 9424 papers

TitleStatusHype
Ellipse Regression with Predicted Uncertainties for Accurate Multi-View 3D Object Estimation—0
Embedded Multi-label Feature Selection via Orthogonal Regression—0
Deep-Learning vs Regression: Prediction of Tourism Flow with Limited Data—0
Edge Wasserstein Distance Loss for Oriented Object Detection—0
Deep Learning versus Classical Regression for Brain Tumor Patient Survival Prediction—0
e-Distance Weighted Support Vector Regression—0
EEATC: A Novel Calibration Approach for Low-cost Sensors—0
EEG-Based Reaction Time Prediction with Fuzzy Common Spatial Patterns and Phase Cohesion using Deep Autoencoder Based Data Fusion—0
EEG based stress analysis using rhythm specific spectral feature for video gameplay—0
EEG-Based User Reaction Time Estimation Using Riemannian Geometry Features—0
EEGMobile: Enhancing Speed and Accuracy in EEG-Based Gaze Prediction with Advanced Mobile Architectures—0
EEG to fMRI Synthesis Benefits from Attentional Graphs of Electrode Relationships—0
Bilateral Ordinal Relevance Multi-Instance Regression for Facial Action Unit Intensity Estimation—0
Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories—0
Effectiveness and Limitations of Statistical Spam Filters—0
Effectiveness of Detection-based and Regression-based Approaches for Estimating Mask-Wearing Ratio—0
Binarised Regression with Instance-Varying Costs: Evaluation using Impact Curves—0
Effective Off-Policy Evaluation and Learning in Contextual Combinatorial Bandits—0
Effect of Stress Ulcers Prophylaxis, Sedative and Statin on Ventilator-Associated Pneumonia: A Retrospective Analysis Based on MIMIC Database—0
Effect of Using Regression on Class Confidence Scores in Sentiment Analysis of Twitter Data—0
Efficiency in Real-time Webcam Gaze Tracking—0
A unifying approach for doubly-robust _1 regularized estimation of causal contrasts—0
Efficient Algorithms and Lower Bounds for Robust Linear Regression—0
Efficient Algorithms for Estimating the Parameters of Mixed Linear Regression Models—0
Deep Learning Regression of VLSI Plasma Etch Metrology—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