Who Cited It

UCI Repository of machine learning databases

1998 · Medical Entomology and Zoology · 10,546 citations · 39 from inside this corpus

Catherine Blake

No abstract in the source record.

UCI Repository of machine learning databases (1998)UCI Repository of machine lea…SMOTE: Synthetic Minority Over-sampling Technique (2002)SMOTE: Synthetic Minority Ove…Extreme learning machine: Theory and applications (2006)Extreme learning machine: The…Statistical Comparisons of Classifiers over Multiple Data Sets (2006)Statistical Comparisons of Cl…Data clustering: 50 years beyond K-means (2009)Data clustering: 50 years bey…Extremely randomized trees (2006)Extremely randomized treesWrappers for feature subset selection (1997)Wrappers for feature subset s…Extreme Learning Machine for Regression and Multiclass Classification (2011)Extreme Learning Machine for …A study of the behavior of several methods for balancing machine learning training data (2004)A study of the behavior of se…Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning (2005)Borderline-SMOTE: A New Over-…Support Vector Data Description (2003)Support Vector Data Descripti…A Survey of Outlier Detection Methodologies (2004)A Survey of Outlier Detection…A Short Introduction to Boosting (1999)A Short Introduction to Boost…An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Varia… (1999)An Empirical Comparison of Vo…Universal Approximation using Incremental Constructive Feedforward Networks with Random H… (2006)Exploratory Undersampling for Class-Imbalance Learning (2008)Exploratory Undersampling for…Classification assessment methods (2018)Classification assessment met…Boosting the margin: a new explanation for the effectiveness of voting methods (1998)Boosting the margin: a new ex…A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification… (2001)A Simple Generalisation of th…A kernel two-sample test (2012)A kernel two-sample testUsing AUC and accuracy in evaluating learning algorithms (2005)Using AUC and accuracy in eva…Model compression (2006)Model compressionThe Boosting Approach to Machine Learning: An Overview (2003)The Boosting Approach to Mach…Ensembling neural networks: Many could be better than all (2002)Ensembling neural networks: M…A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks (2006)A Fast and Accurate Online Se…Improved Boosting Algorithms Using Confidence-rated Predictions (1999)Improved Boosting Algorithms …A Kernel Method for the Two-Sample-Problem (2007)A Kernel Method for the Two-S…Multi-class AdaBoost (2009)Multi-class AdaBoostRotation Forest: A New Classifier Ensemble Method (2006)Rotation Forest: A New Classi…RUSBoost: A Hybrid Approach to Alleviating Class Imbalance (2009)RUSBoost: A Hybrid Approach t…Predicting good probabilities with supervised learning (2005)Predicting good probabilities…SMOTEBoost: Improving Prediction of the Minority Class in Boosting (2003)SMOTEBoost: Improving Predict…Large Margin DAG's for Multiclass Classification (1999)Support vector domain description (1999)Machine learning: a review of classification and combining techniques (2006)Machine learning: a review of…Learning with Drift Detection (2004)Learning with Drift DetectionExpectation Propagation for approximate Bayesian inference (2013)
36 of 36 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
this paper works it cites works citing it node size = global citations · hover for the full title

Citation edge evidence

Each row is directed from the citing work to the cited work. Source status remains readable without the interactive graph.

What cites it, inside the corpus

PaperYearCited
SMOTE: Synthetic Minority Over-sampling Technique200232,402
Extreme learning machine: Theory and applications200613,310
Statistical Comparisons of Classifiers over Multiple Data Sets200611,215
Data clustering: 50 years beyond K-means20099,368
Extremely randomized trees20069,068
Wrappers for feature subset selection19978,991
Extreme Learning Machine for Regression and Multiclass Classification20115,581
A study of the behavior of several methods for balancing machine learning training data20044,222
Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning20054,049
Support Vector Data Description20033,526
A Survey of Outlier Detection Methodologies20043,382
A Short Introduction to Boosting19992,952
An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Varia…19992,656
Universal Approximation using Incremental Constructive Feedforward Networks with Random H…20062,636
Exploratory Undersampling for Class-Imbalance Learning20082,504
Classification assessment methods20182,377
Boosting the margin: a new explanation for the effectiveness of voting methods19982,344
A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification…20012,307
A kernel two-sample test20122,224
Using AUC and accuracy in evaluating learning algorithms20052,163
Model compression20062,118
The Boosting Approach to Machine Learning: An Overview20032,023
Ensembling neural networks: Many could be better than all20021,990
A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks20061,981
Improved Boosting Algorithms Using Confidence-rated Predictions19991,966
A Kernel Method for the Two-Sample-Problem20071,949
Multi-class AdaBoost20091,916
Rotation Forest: A New Classifier Ensemble Method20061,911
RUSBoost: A Hybrid Approach to Alleviating Class Imbalance20091,890
Predicting good probabilities with supervised learning20051,751
SMOTEBoost: Improving Prediction of the Minority Class in Boosting20031,680
Large Margin DAG's for Multiclass Classification19991,646
Support vector domain description19991,626
Machine learning: a review of classification and combining techniques20061,562
Learning with Drift Detection20041,531
Expectation Propagation for approximate Bayesian inference20131,460

Links

Download BibTeX · Download RIS · OpenAlex record

Topics

Neural Networks and ApplicationsComputer Science
Machine Learning and Data ClassificationComputer Science
Data Mining Algorithms and ApplicationsComputer Science

Is this record sound?

partial

One field of this record is missing or disagrees with another. What is shown below is what the source publishes.

  • supports1 author record(s) attached.
  • weakensNo references are recorded despite 10,546 citations. A paper this heavily cited did not cite nothing, so the record is incomplete.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:40+00:00.

sha256 7e3d99a592f7f61f…