Automatic Optimization of Deep Learning Training through Feature-Aware-Based Dataset Splitting

Automatic Optimization of Deep Learning Training through Feature-Aware-Based Dataset Splitting

The proliferation of classification-capable artificial intelligence (AI) across a wide range of domains (e.g., agriculture, construction, etc.) has been allowed to optimize and complement several tasks, typically operationalized by humans. The computational training that allows providing such suppor...

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Bibliographic Details
Main Authors: Somayeh Shahrabadi, Telmo Adão, Emanuel Peres, Raul Morais, Luís G. Magalhães, Victor Alves
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Algorithms
Subjects:
deep learning training optimization
dataset splitting/arrangement optimization
deep feature inspection
deep feature-based data organization
classification deep learning
explainable artificial intelligence
Online Access:https://www.mdpi.com/1999-4893/17/3/106

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https://www.mdpi.com/1999-4893/17/3/106

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