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ORCID2nd DeLTA 2021
- Ana Fred, Carlo Sansone
, Kurosh Madani:
Deep Learning Theory and Applications - First International Conference, DeLTA 2020, Virtual Event, July 8-10, 2020, and Second International Conference, DeLTA 2021, Virtual Event, July 7-9, 2021, Revised Selected Papers. Communications in Computer and Information Science 1854, Springer 2023, ISBN 978-3-031-37319-0 - Silvan Mertes, Andreas Margraf, Steffen Geinitz, Elisabeth André:
Alternative Data Augmentation for Industrial Monitoring Using Adversarial Learning. 1-23 - Sheela Raju Kurupathi, Veeru Dumpala, Didier Stricker:
Multi-stage Conditional GAN Architectures for Person-Image Generation. 24-48 - Bruno Georgevich Ferreira, Bruno Gabriel Cavalcante Lima, Tiago Figueiredo Vieira:
Evaluating Deep Learning Models for the Automatic Inspection of Collective Protective Equipment. 49-66 - Silvan Mertes, Dominik Schiller, Florian Lingenfelser, Thomas Kiderle, Valentin Kroner, Lama Diab, Elisabeth André:
Intercategorical Label Interpolation for Emotional Face Generation with Conditional Generative Adversarial Networks. 67-87 - Yassir Alharbi, Daniel Arribas-Bel, Frans Coenen:
Forecasting the UN Sustainable Development Goals. 88-110 - Ondrej Lukás, Sebastián García:
Disrupting Active Directory Attacks with Deep Learning for Organic Honeyuser Placement. 111-133 - Mehedi Hasan Talukder, Shuhei Ota, Masato Takanokura, Nobuaki Ishii:
Crack Detection on Brick Walls by Convolutional Neural Networks Using the Methods of Sub-dataset Generation and Matching. 134-150
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