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regression

Papers

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Showing 2451–2500 of 9424 papers

TitleStatusHype
Detecting Dark Patterns in User Interfaces Using Logistic Regression and Bag-of-Words Representation—0
A Multi-Layer Regression based Predicable Function Fitting Network—0
Avoiding Communication in Logistic Regression—0
Detecting Label Noise via Leave-One-Out Cross-Validation—0
Detecting Latent Communities in Network Formation Models—0
Detecting multiple change points in linear models with heteroscedastic errors—0
Detecting non-causal artifacts in multivariate linear regression models—0
Detecting Noteheads in Handwritten Scores with ConvNets and Bounding Box Regression—0
Detecting Rotated Objects as Gaussian Distributions and Its 3-D Generalization—0
Detecting Satire in the News with Machine Learning—0
Detecting Subevent Structure for Event Coreference Resolution—0
AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models—0
Detection as Regression: Certified Object Detection with Median Smoothing—0
Detection of Adversarial Attacks and Characterization of Adversarial Subspace—0
Adaptive Outlier Detection for Power MOSFETs Based on Gaussian Process Regression—0
Detection of Dataset Shifts in Learning-Enabled Cyber-Physical Systems using Variational Autoencoder for Regression—0
STRIDE: Sparse Techniques for Regression in Deep Gaussian Processes—0
Detection of Propaganda Using Logistic Regression—0
Backdoor Attack and Defense for Deep Regression—0
Determinantal Point Processes Implicitly Regularize Semi-parametric Regression Problems—0
Disentangling Genotype and Environment Specific Latent Features for Improved Trait Prediction using a Compositional Autoencoder—0
Determinants of renewable energy consumption in Madagascar: Evidence from feature selection algorithms—0
Determinants of Workplace Flextime Flexibility: An Empirical Analysis—0
Backhaul-Constrained Multi-Cell Cooperation Leveraging Sparsity and Spectral Clustering—0
Determining input variable ranges in Industry 4.0: A heuristic for estimating the domain of a real-valued function or trained regression model given an output range—0
Determining Song Similarity via Machine Learning Techniques and Tagging Information—0
Deterministic Bridge Regression for Compressive Classification—0
Backward Compatibility During Data Updates by Weight Interpolation—0
Convolutional Ordinal Regression Forest for Image Ordinal Estimation—0
Deterministic Stretchy Regression—0
EventTrojan: Manipulating Non-Intrusive Speech Quality Assessment via Imperceptible Events—0
Developing an Optimal Model for Predicting the Severity of Wheat Stem Rust (Case study of Arsi and Bale Zone)—0
A maximum principle argument for the uniform convergence of graph Laplacian regressors—0
Developing Postfix-GP Framework for Symbolic Regression Problems—0
Development and application of a machine learning supported methodology for measurement and verification (M&V) 2.0—0
Development of an intelligent system for the detection of corona virus using artificial neural network—0
Deep neural operators can serve as accurate surrogates for shape optimization: A case study for airfoils—0
Development of Machine learning algorithms to identify the Cobb angle in adolescents with idiopathic scoliosis based on lumbosacral joint efforts during gait (Case study)—0
Development of Statewide AADT Estimation Model from Short-Term Counts: A Comparative Study for South Carolina—0
Device-free Indoor WLAN Localization with Distributed Antenna Placement Optimization and Spatially Localized Regression—0
Balanced Depth Completion between Dense Depth Inference and Sparse Range Measurements via KISS-GP—0
Deep Neural Networks to Recover Unknown Physical Parameters from Oscillating Time Series—0
Auto-Evaluation with Few Labels through Post-hoc Regression—0
Adaptive Optimization for Prediction with Missing Data—0
An Adversarial Approach to Evaluating the Robustness of Event Identification Models—0
Diagnosing Hate Speech Classification: Where Do Humans and Machines Disagree, and Why?—0
BALI: Learning Neural Networks via Bayesian Layerwise Inference—0
Distribution-Free Inference for the Regression Function of Binary Classification—0
Dictionary-Free MRI PERK: Parameter Estimation via Regression with Kernels—0
Achieving Online Regression Performance of LSTMs with Simple RNNs—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