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Research article

First published 1993-10

Class Labeling for Efficacy: Always,Sometimes,or Never?

Ursula Kern

Therapeutic Innovation & Regulatory Science

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Research article

First published 2006-8

A boosting approach to remove class label noise 1

Amitava Karmaker, Stephen Kwek

International Journal of Hybrid Intelligent Systems

Open access

Research article

First published 2023-11

Feature selection for binary classification based on class labeling,SOM,and hierarchical clustering

Zhao Zhengtian, Rui Zhiyuan, Duan Xiaoyan

Measurement and Control

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Research article

First published 2011-11

Irrelevant attributes and imbalanced classes in multi-label text-categorization domains

Sareewan Dendamrongvit, Peerapon Vateekul, Miroslav Kubat

Intelligent Data Analysis: An International Journal

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Research article

First published 2012-6

Vector space model for patent documents with hierarchical class labels

Yen-Liang Chen, Yu-Ting Chiu

Journal of Information Science

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Research article

First published 2019-3

A general framework for multi-label learning towards class correlations and class imbalance

Yue Peng, Edward Huang, Gang Chen [...]

Intelligent Data Analysis: An International Journal

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Research article

First published 2013-11

Enhancing K-Means using class labels

Billy Peralta, Pablo Espinace, Alvaro Soto

Intelligent Data Analysis: An International Journal

Free access

Research article

First published 2024-1

Enhancing Adaboost performance in the presence of class-label noise: A comparative study on EEG-based classification of schizophrenic patients and benchmark datasets

Omid Ranjbar Pouya, Reza Boostani, Malihe Sabeti

Intelligent Data Analysis: An International Journal

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Research article

First published 1980-6

The Generalized Effects of Productive Labeling Training Involving Common Object Classes

Stephen R. Anderson, Joseph E. Spradlin

Research and Practice for Persons with Severe Disabilities

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Research article

First published 2025-2

Multi-label classification with imbalanced classes by fuzzy deep neural networks

Federico Succetti, Antonello Rosato, Massimo Panella

Integrated Computer-Aided Engineering

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