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

by Ana Fred (Editor), Carlo Sansone (Editor), Kurosh Madani (Editor)

Overview

This book constitutes the refereed post-proceedings of the First International Conference and Second International Conference on Deep Learning Theory and Applications, DeLTA 2020 and DeLTA 2021, was held virtually due to the COVID-19 crisis on July 8-10, 2020 and July 7–9, 2021.
The 7 full papers included in this book were carefully reviewed and selected from 58 submissions. They present recent research on machine learning and artificial intelligence in real-world applications such as computer vision, information retrieval and summarization from structuredand unstructured multimodal data sources, natural language understanding andtranslation, and many other application domains.

Product Details

ISBN-13:	9783031373206
Publisher:	Springer-Verlag New York, LLC
Publication date:	07/06/2023
Series:	Communications in Computer and Information Science , #1854
Sold by:	Barnes & Noble
Format:	eBook
File size:	34 MB
Note:	This product may take a few minutes to download.

Table of Contents

Alternative Data Augmentation for Industrial Monitoring using Adversarial Learning.- Multi-stage Conditional GAN Architectures for Person-image Generation.- Evaluating Deep Learning Models for the Automatic Inspection of Collective Protective Equipment.- Intercategorical Label Interpolation for Emotional Face Generation with Conditional Generative Adversarial Networks.- Forecasting the UN Sustainable Development Goals.- Disrupting Active Directory Attacks with Deep Learning for Organic Honeyuser Placement.- Crack Detection on Brick Walls by Convolutional Neural Networks using the Methods of Sub-Dataset Generation and Matching.