Amanote Research
Register
Sign In
A New Oversampling-Based Approach for Class Imbalance Problem
doi 10.21528/cbic2013-020
Full Text
Open PDF
Abstract
Available in
full text
Date
March 11, 2016
Authors
Alexandre Wagner Chagas Faria
Cristiano Leite de Castro
Antônio de Pádua Braga
Publisher
SBIC
Related search
Coupling Different Methods for Overcoming the Class Imbalance Problem
Neurocomputing
Computer Science Applications
Artificial Intelligence
Cognitive Neuroscience
Manifold Distance-Based Over-Sampling Technique for Class Imbalance Learning
Proceedings of the AAAI Conference on Artificial Intelligence
Author Identification: Using Text Sampling to Handle the Class Imbalance Problem
Information Processing and Management
Media Technology
Information Systems
Information Sciences
Library
Management Science
Computer Science Applications
Operations Research
An Empirical Study of Oversampling and Undersampling for Instance Selection Methods on Imbalance Datasets
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Data Sampling Methods to Deal With the Big Data Multi-Class Imbalance Problem
Applied Sciences (Switzerland)
Instrumentation
Materials Science
Fluid Flow
Engineering
Computer Science Applications
Process Chemistry
Transfer Processes
Technology
A New Polynomial Class of Cluster Deletion Problem
A New Linear Programming Approach for TDGCS Layout Problem
DEStech Transactions on Engineering and Technology Research
A New Class of Exact Solutions for 3D Compressible Reconnection Problem.
Journal of geomagnetism and geoelectricity
Neuroanesthesia: A Problem-Based Learning Approach
Canadian Journal of Anaesthesia
Medicine
Anesthesiology
Pain Medicine