Employing the concept of stacking ensemble learning to generate deep dream images using multiple CNN variants

Employing the concept of stacking ensemble learning to generate deep dream images using multiple CNN variants

Addiction and adverse effects resulting from schizophrenia are rapidly becoming a global issue, necessitating the development of advanced approaches that can provide support to psychiatrists and psychologists to understand and replicate the hallucinations and imagery experienced by patients. Such ap...

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Bibliographic Details
Main Authors: Lafta Alkhazraji, Ayad R. Abbas, Abeer S. Jamil, Zahraa Saddi Kadhim, Wissam Alkhazraji, Sabah Abdulazeez Jebur, Bassam Noori Shaker, Mohammed Abdallazez Mohammed, Mohanad A. Mohammed, Basim Mohammed Al-Araji, Abdulkareem Z. Mohmmed, Wasiq Khan, Bilal Khan, Abir Jaafar Hussain
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Intelligent Systems with Applications
Subjects:
Deep dream
Stacking ensemble
Imaginary hallucinations
Inception
Xception
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2667305325000146
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