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regression

Papers

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Showing 4551–4600 of 9424 papers

TitleStatusHype
Manchester Metropolitan at SemEval-2021 Task 1: Convolutional Networks for Complex Word Identification—0
Team\_KGP at SemEval-2021 Task 7: A Deep Neural System to Detect Humor and Offense with Their Ratings in the Text Data—0
Cambridge at SemEval-2021 Task 1: An Ensemble of Feature-Based and Neural Models for Lexical Complexity Prediction—0
Survival text regression for time-to-event prediction in conversations—0
Topic Embedding Regression Model and its Application to Financial Texts—0
DUTH at SemEval-2021 Task 7: Is Conventional Machine Learning for Humorous and Offensive Tasks enough in 2021?—0
katildakat at SemEval-2021 Task 1: Lexical Complexity Prediction of Single Words and Multi-Word Expressions in English—0
YoungSheldon at SemEval-2021 Task 7: Fine-tuning Is All You NeedCode0
Alejandro Mosquera at SemEval-2021 Task 1: Exploring Sentence and Word Features for Lexical Complexity Prediction—0
Data-Driven Constitutive Relation Reveals Scaling Law for Hydrodynamic Transport Coefficients—0
Knowing When to Quit: Selective Cascaded Regression with Patch Attention for Real-Time Face AlignmentCode0
Implementing an Improved Test of Matrix Rank in Stata—0
IITK@LCP at SemEval-2021 Task 1: Classification for Lexical Complexity Regression Task—0
hub at SemEval-2021 Task 7: Fusion of ALBERT and Word Frequency Information Detecting and Rating Humor and Offense—0
Statistical learning method for predicting density-matrix based electron dynamics—0
Creating Powerful and Interpretable Models with Regression Networks—0
HAFLO: GPU-Based Acceleration for Federated Logistic Regression—0
Modern Non-Linear Function-on-Function Regression—0
MLMOD: Machine Learning Methods for Data-Driven Modeling in LAMMPSCode0
Densely connected neural networks for nonlinear regressionCode0
Deciphering Cryptic Behavior in Bimetallic Transition Metal Complexes with Machine Learning—0
Semi-supervised Learning for Data-driven Soft-sensing of Biological and Chemical Processes—0
Robust and Active Learning for Deep Neural Network Regression—0
AutoML Meets Time Series Regression Design and Analysis of the AutoSeries ChallengeCode0
Adaptive Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning—0
Wasserstein-Splitting Gaussian Process Regression for Heterogeneous Online Bayesian Inference—0
Applications of Machine Learning in Fintech Credit Card Fraud Detection—0
A brief note on understanding neural networks as Gaussian processes—0
Relational Boosted Regression Trees—0
Using a Cross-Task Grid of Linear Probes to Interpret CNN Model Predictions On Retinal Images—0
Multi-Modal Pedestrian Detection with Large Misalignment Based on Modal-Wise Regression and Multi-Modal IoU—0
Hash-Based Tree Similarity and Simplification in Genetic Programming for Symbolic Regression—0
Fast Low-Rank Tensor Decomposition by Ridge Leverage Score Sampling—0
Bagging, optimized dynamic mode decomposition (BOP-DMD) for robust, stable forecasting with spatial and temporal uncertainty-quantificationCode0
Inference for High Dimensional Censored Quantile RegressionCode0
Online structural kernel selection for mobile health—0
Brain Inspired Computing Approach for the Optimization of the Thin Film Thickness of Polystyrene on the Glass Substrates—0
Using Shape Constraints for Improving Symbolic Regression Models—0
Estimation of a regression function on a manifold by fully connected deep neural networks—0
Statistical Estimation from Dependent Data—0
Reward-Weighted Regression Converges to a Global OptimumCode0
Can we globally optimize cross-validation loss? Quasiconvexity in ridge regression—0
Predicting Friction System Performance with Symbolic Regression and Genetic Programming with Factor Variables—0
Machine Learning-Based Empirical Investigation for Credit Scoring in Vietnam’s Banking—0
Automatic and explainable grading of meningiomas from histopathology imagesCode0
Incorporating domain knowledge into neural-guided search—0
Multi-objective Test Case Selection Through Linkage Learning-based Crossover—0
Decoupling Shrinkage and Selection for the Bayesian Quantile Regression—0
Minimising quantifier variance under prior probability shift—0
Subset-of-Data Variational Inference for Deep Gaussian-Processes RegressionCode0
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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