A4 Article in conference proceedings
Causality-Aware Convolutional Neural Networks for Advanced Image Classification and Generation (2023)
Terziyan, V., & Vitko, O. (2023). Causality-Aware Convolutional Neural Networks for Advanced Image Classification and Generation. In F. Longo, M. Affenzeller, A. Padovano, & S. Weiming (Eds.), 4th International Conference on Industry 4.0 and Smart Manufacturing (pp. 495-506). Elsevier. Procedia Computer Science, 217. https://doi.org/10.1016/j.procs.2022.12.245
JYU authors or editors
Publication details
All authors or editors: Terziyan, Vagan; Vitko, Oleksandra
Parent publication: 4th International Conference on Industry 4.0 and Smart Manufacturing
Parent publication editors: Longo, Francesco; Affenzeller, Michael; Padovano, Antonio; Weiming, Shen
Conference:
- International Conference on Industry 4.0 and Smart Manufacturing
Place and date of conference: Linz, Austria, 2.-4.11.2022
Journal or series: Procedia Computer Science
eISSN: 1877-0509
Publication year: 2023
Publication date: 13/01/2023
Number in series: 217
Pages range: 495-506
Number of pages in the book: 1954
Publisher: Elsevier
Publication country: Netherlands
Publication language: English
DOI: https://doi.org/10.1016/j.procs.2022.12.245
Publication open access: Openly available
Publication channel open access: Open Access channel
Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/85106
Abstract
See presentation slides: https://ai.it.jyu.fi/ISM-2022-Causality.pptx
Keywords: manufacturing engineering; computer vision; machine learning; deep learning; neural networks (information technology); classification; causality; inference
Free keywords: causal discovery; causal inference; image processing; Convolutional Neural Network; Generative Adversarial Network
Contributing organizations
Ministry reporting: Yes
VIRTA submission year: 2023
JUFO rating: 1