AGm: A new performance measure for class imbalance learning. Application to Bioinformatics problems.

Bibliographic Details
Main Authors: Batuwita, R, Palade, V
Format: Conference item
Published: 2009
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author Batuwita, R
Palade, V
author_facet Batuwita, R
Palade, V
author_sort Batuwita, R
collection OXFORD
description
first_indexed 2024-03-07T03:23:38Z
format Conference item
id oxford-uuid:b8498639-5a53-4ecc-9877-dfb99747c73a
institution University of Oxford
last_indexed 2024-03-07T03:23:38Z
publishDate 2009
record_format dspace
spelling oxford-uuid:b8498639-5a53-4ecc-9877-dfb99747c73a2022-03-27T04:54:49ZAGm: A new performance measure for class imbalance learning. Application to Bioinformatics problems.Conference itemhttp://purl.org/coar/resource_type/c_5794uuid:b8498639-5a53-4ecc-9877-dfb99747c73aDepartment of Computer Science2009Batuwita, RPalade, V
spellingShingle Batuwita, R
Palade, V
AGm: A new performance measure for class imbalance learning. Application to Bioinformatics problems.
title AGm: A new performance measure for class imbalance learning. Application to Bioinformatics problems.
title_full AGm: A new performance measure for class imbalance learning. Application to Bioinformatics problems.
title_fullStr AGm: A new performance measure for class imbalance learning. Application to Bioinformatics problems.
title_full_unstemmed AGm: A new performance measure for class imbalance learning. Application to Bioinformatics problems.
title_short AGm: A new performance measure for class imbalance learning. Application to Bioinformatics problems.
title_sort agm a new performance measure for class imbalance learning application to bioinformatics problems
work_keys_str_mv AT batuwitar agmanewperformancemeasureforclassimbalancelearningapplicationtobioinformaticsproblems
AT paladev agmanewperformancemeasureforclassimbalancelearningapplicationtobioinformaticsproblems