AIMech AI

Preprocessing Methods

4 Concepts

Feature engineering, data augmentation, and tokenization procedures.

Showing 4 of 4
Concept Origin Kind / Branch Identifier Evidence / Status
Cutout
A training-image augmentation method that removes information from a randomly located square region by replacing that region with zeros in t…
Curated Preprocessing Methods AIMech:Cutout 1 claim
1 source
RAPID support vector data description sampling
aka RAPID, Reducing samples by pruning of inlier densities
A density-based training-subset selection method for support vector data description that prefilters low-density observations and greedily r…
Curated Preprocessing Methods AIMech:RapidSupportVectorDataDescriptionSampling 8 claims
5 sources
SMOTE-NC
The original mixed nominal/continuous extension of SMOTE that synthesizes minority-class training examples by finding minority neighbors wit…
Curated Preprocessing Methods AIMech:SMOTENC 6 claims
1 source
Synthetic Minority Over-sampling Technique
aka SMOTE
A minority-class oversampling method that generates synthetic labeled feature vectors by interpolating between an observed minority example…
Curated Preprocessing Methods AIMech:SyntheticMinorityOversamplingTechnique 1 claim
1 source