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regression

Papers

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Showing 9351–9400 of 9424 papers

TitleStatusHype
Event-based Stereo Visual Odometry with Native Temporal Resolution via Continuous-time Gaussian Process Regression—0
Everybody likes short sentences - A Data Analysis for the Text Complexity DE Challenge 2022—0
Every Sample a Task: Pushing the Limits of Heterogeneous Models with Personalized Regression—0
Evidence of Predicting Early Signs of Corporate Bankruptcy Using Financial Ratios in the Indian Landscape—0
Evidential time-to-event prediction with calibrated uncertainty quantification—0
Evolutionary Dynamic Multi-objective Optimization Via Regression Transfer Learning—0
Evolution of Covariance Functions for Gaussian Process Regression using Genetic Programming—0
Evolvability Degeneration in Multi-Objective Genetic Programming for Symbolic Regression—0
Evolvable Psychology Informed Neural Network for Memory Behavior Modeling—0
Exact and Approximate Conformal Inference for Multi-Output Regression—0
Exact Asymptotic Estimation of Unknown Parameters of Perturbed LRE with Application to State Observation—0
Exact Distribution-Free Hypothesis Tests for the Regression Function of Binary Classification via Conditional Kernel Mean Embeddings—0
Exact learning curves for Gaussian process regression on large random graphs—0
Exact Post Model Selection Inference for Marginal Screening—0
Exact Recovery of Sparse Binary Vectors from Generalized Linear Measurements—0
Exact Selective Inference with Randomization—0
Exact Support Recovery in Federated Regression with One-shot Communication—0
Exceedance Probability Forecasting via Regression for Significant Wave Height Prediction—0
Excess Delay from GDP: Measurement and Causal Analysis—0
Exhaustive search for sparse variable selection in linear regression—0
Exoskeleton-Based Multimodal Action and Movement Recognition: Identifying and Developing the Optimal Boosted Learning Approach—0
Expanded Alternating Optimization of Nonconvex Functions with Applications to Matrix Factorization and Penalized Regression—0
ExpDNN: Explainable Deep Neural Network—0
Expectation-maximization for logistic regression—0
Expectile Neural Networks for Genetic Data Analysis of Complex Diseases—0
Expertise-based Weighting for Regression Models with Noisy Labels—0
Expert2Coder: Capturing Divergent Brain Regions Using Mixture of Regression Experts—0
Explainability in CNN Models By Means of Z-Scores—0
Explainable AI by BAPC -- Before and After correction Parameter Comparison—0
Explainable AI Integrated Feature Engineering for Wildfire Prediction—0
Explainable and Class-Revealing Signal Feature Extraction via Scattering Transform and Constrained Zeroth-Order Optimization—0
Explainable boosted linear regression for time series forecasting—0
Explainable Deep Belief Network based Auto encoder using novel Extended Garson Algorithm—0
Explainable machine learning-based prediction model for diabetic nephropathy—0
Explainable Machine Learning Control -- robust control and stability analysis—0
Explainable Multi-Label Classification of MBTI Types—0
Explainable Online Validation of Machine Learning Models for Practical Applications—0
Explainable Ordinal Factorization Model: Deciphering the Effects of Attributes by Piece-wise Linear Approximation—0
Explaining a prediction in some nonlinear models—0
Explaining human body responses in random vibration: Effect of motion direction, sitting posture, and anthropometry—0
Explaining Regression Based Neural Network Model—0
Explaining the distribution of energy consumption at slow charging infrastructure for electric vehicles from socio-economic data—0
Explaining the Success of Nearest Neighbor Methods in Prediction—0
Explanation Regeneration via Multi-Hop ILP Inference over Knowledge Base—0
Explicit Heston Solutions and Stochastic Approximation for Path-dependent Option Pricing—0
Exploiting context dependence for image compression with upsampling—0
Exploiting Event Cameras for Spatio-Temporal Prediction of Fast-Changing Trajectories—0
Exploiting Image Translations via Ensemble Self-Supervised Learning for Unsupervised Domain Adaptation—0
Exploiting Linear Substructure In LRKFs (Extended)—0
Exploiting Multi-Modal Features From Pre-trained Networks for Alzheimer's Dementia Recognition—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