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Deep Learning Applications, Volume 4

Overview of attention for book
Deep Learning Applications, Volume 4
Springer Nature Singapore

Table of Contents

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    Book Overview
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    Chapter 1 Identification of Human Papillomavirus from Super-Resolution Microscopic Images Generated Using Deep Learning Architectures
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    Chapter 2 Evaluation of Sequential and Temporally Embedded Deep Learning Models for Health Outcome Prediction
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    Chapter 3 Transfer Learning for Depression Screening from Follow-Up Clinical Interview Questions
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    Chapter 4 Early Mental Health Uncovering with Short Scripted and Unscripted Voice Recordings
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    Chapter 5 A Comprehensive Analysis of Aspect-Oriented Suggestion Extraction from Online Reviews
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    Chapter 6 Language Models for Deep Learning Programming: A Case Study with Keras
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    Chapter 7 Next Job Application Prediction by Leveraging Textual Information, Metadata, and Personalized-Attention Mechanism
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    Chapter 8 A Contrario Multi-scale Anomaly Detection Method for Industrial Quality Inspection
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    Chapter 9 Anomaly Detection and Debugging by Kernel Ridge Reconstruction
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    Chapter 10 Receptive Field Analysis for Optimizing Convolutional Neural Network Architectures Without Training
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    Chapter 11 Resource-Aware Capsule Network
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    Chapter 13 Efficient Deep Learning of Kerr Nonlinearity in Fiber-Optic Channels Using a Convolutional Recurrent Neural Network
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    Chapter 14 Multi-layer Wavelet Transformations for Image Super-Resolution: Applications to Voxel-Based Deep Learning and Areal Density Maps of Carbon Nanotube Sheets
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    Chapter 15 Deep Semi-supervised Learning for Time-Series Classification
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Title
Deep Learning Applications, Volume 4
Published by
Springer Nature Singapore, January 2023
DOI 10.1007/978-981-19-6153-3
ISBNs
978-9-81-196152-6, 978-9-81-196153-3
Editors

M. Arif Wani, Vasile Palade

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