Explore
New Insights in Machine Learning and Deep Neural Networks
0 Ungluers have
Faved this Work
Login to Fave
In this Special Issue we gathered ten exemplary papers, each delineating advancements within the spheres of machine learning and deep neural networks. Commencing with a thorough exploration by Figueira and Vaz, readers are introduced to the nuances of synthetic data generation and evaluation, followed closely by Silva and Pedroso's systematic approach to leveraging deep reinforcement learning within the intricate realm of delivery logistics. Kamran et al. contribute an astute methodology for camouflage object segmentation, whereas Pinheiro and collaborators offer a crafted semi-supervised strategy for predicting EGFR mutations via CT images. Subsequent contributions, such as Lee and Yoo's framework for portrait emotion recognition and Balakrishnan et al.'s analytical exploration of transformer models for Twitter disaster detection, further exemplify the depth of research contained herein. Later chapters cover a broad spectrum of themes: Li, Branco, and Zhang investigate house price prediction; Aziz and his team delve into the geo-spatial analysis of hate speech; Nazari, Branco, and Jourdan introduce innovations in GAN training methodologies; and Xie and Lin present CNN models meticulously tailored for ectopic beat classification. In its entirety, this Special Issue represents progressive strides in machine learning and deep neural networks made by distinguished scholars. It offers readers an insightful overview of both the current state-of-the-art methodologies and the burgeoning innovations within this exciting field.
This book is included in DOAB.
Why read this book? Have your say.
You must be logged in to comment.
Rights Information
Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.Downloads
This work has been downloaded 12 times via unglue.it ebook links.
- 12 - pdf (CC BY) at Unglue.it.
Keywords
- automatic feature selection
- Computer science
- Computing & information technology
- data augmentation
- detecting fake news on social media
- Economics, finance, business & management
- facial expression recognition
- generative adversarial networks
- image and video reconstruction
- Industry & industrial studies
- Information technology industries
- Media, information & communication industries
- Medical imaging
- object identification and scene classification
- prediction analysis
- text and narrative representation
- thema EDItEUR::U Computing and Information Technology::UY Computer science
Links
DOI: 10.3390/books978-3-0365-8983-1Editions