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Pattern Recognition

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Cover of 'Pattern Recognition'

Table of Contents

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    Book Overview
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    Chapter 1 Feature Analysis and Selection for Water Stream Modeling
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    Chapter 2 A Cloud-Based (AWS) Machine Learning Solution to Predict Account Receivables in a Financial Institution
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    Chapter 3 A New Approach for Road Type Classification Using Multi-stage Graph Embedding Method
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    Chapter 4 Removing the Black-Box from Machine Learning
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    Chapter 5 Using Machine Learning to Identify Patterns in Learner-Submitted Code for the Purpose of Assessment
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    Chapter 6 Fitness Function Comparison for Unsupervised Feature Selection with Permutational-Based Differential Evolution
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    Chapter 7 A Method for Counting Models on Cubic Boolean Formulas
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    Chapter 8 Automatic Identification of Learning Styles Through Behavioral Patterns
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    Chapter 9 Comparison of Classifiers in Challenge Scheme
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    Chapter 10 Robust Zero-Watermarking for Medical Images Based on Deep Learning Feature Extraction
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    Chapter 11 Plant Stress Recognition Using Deep Learning and 3D Reconstruction
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    Chapter 12 Segmentation and Classification Networks for Corn/Weed Detection Under Excessive Field Variabilities
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    Chapter 13 Leukocyte Recognition Using a Modified AlexNet and Image to Image GAN Data Augmentation
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    Chapter 14 Spoofing Detection for Speaker Verification with Glottal Flow and 1D Pure Convolutional Networks
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    Chapter 15 Estimation of Stokes Parameters Using Deep Neural Networks
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    Chapter 16 Experimental Study of the Performance of Convolutional Neural Networks Applied in Art Media Classification
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    Chapter 17 Hadamard Layer to Improve Semantic Segmentation in Medical Images
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    Chapter 18 Patterns in Genesis of Breast Cancer Tumor
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    Chapter 19 Realistic Simulation of Event-Related Potentials and Their Usual Noise and Interferences for Pattern Recognition
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    Chapter 20 Chest X-Ray Imaging Severity Score of COVID-19 Pneumonia
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    Chapter 21 Leukocyte Detection with Novel Fully Convolutional Network and a New Dataset of Blood Smear Complete Samples
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    Chapter 22 Comparison of Deep Learning Architectures in Classification of Microcalcifications Clusters in Digital Mammograms
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    Chapter 23 Retinal Artery and Vein Segmentation Using an Image-to-Image Conditional Adversarial Network
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    Chapter 24 Evaluation of Heatmaps as an Explicative Method for Classifying Acute Lymphoblastic Leukemia Cells
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    Chapter 25 Machine Learning Models Applied in Sign Language Recognition
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    Chapter 26 Urdu Semantic Parsing: An Improved SEMPRE Framework for Conversion of Urdu Language Web Queries to Logical Forms
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    Chapter 27 Improving the Identification of Abusive Language Through Careful Design of Pre-training Tasks
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    Chapter 28 TOPSIS Method for Multiple-Criteria Decision-Making Applied to Trajectory Selection for Autonomous Driving
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    Chapter 29 Machine-Learning Based Estimation of the Bending Magnitude Sensed by a Fiber Optic Device
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    Chapter 30 Graph-Based Semi-supervised Learning Using Riemannian Geometry Distance for Motor Imagery Classification
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Title
Pattern Recognition
Published by
Springer Nature Switzerland, July 2023
DOI 10.1007/978-3-031-33783-3
ISBNs
978-3-03-133782-6, 978-3-03-133783-3
Editors

Rodríguez-González, Ansel Yoan, Pérez-Espinosa, Humberto, Martínez-Trinidad, José Francisco, Carrasco-Ochoa, Jesús Ariel, Olvera-López, José Arturo

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