Tabular Data: Deep Learning Is Not All You Need

·2022·DOI

Health Sciences and Innovation

Multilingual Media Studies

Advanced Machine Learning Techniques

Learning from Imbalanced Datasets

Role in the Field

Neutralin Health Sciences and Innovation

Neutralin Multilingual Media Studies

Neutralin Advanced Machine Learning Techniques

Neutralin Learning from Imbalanced Datasets

Abstract

Citations

807

Year

2022

PageRank

2.7 / 10

Relative influence (log-scaled)

Related Papers

10 of 10 papers

Hyperparameters And Tuning Strategies For Random Forest

·2019·876 citations

SMOTE For Learning From Imbalanced Data: Progress And Challenges, Marking The 15-Year Anniversary

·2018·1,269 citations

Improving Imbalanced Learning Through A Heuristic Oversampling Method Based On K-Means And SMOTE

·2018·755 citations

Revisiting Unreasonable Effectiveness Of Data In Deep Learning Era

·2017·1,336 citations

MWMOTE--Majority Weighted Minority Oversampling Technique For Imbalanced Data Set Learning

·2014·824 citations

Large-Scale Machine Learning With Stochastic Gradient Descent

·2010·3,156 citations

ADASYN: Adaptive Synthetic Sampling Approach For Imbalanced Learning

·2008·1,109 citations

Convex Incremental Extreme Learning Machine

·2007·960 citations

Borderline-SMOTE: A New Over-Sampling Method In Imbalanced Data Sets Learning

·2005·2,158 citations

SMOTE: Synthetic Minority Over-sampling Technique

·2002·19,435 citations