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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 Hot Spots & Hot Regions Detection Using Classification Algorithms in BMPs Complexes at the Protein-Protein Interface with the Ground-State Energy Feature
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    Chapter 2 Clustering of Twitter Networks Based on Users’ Structural Profile
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    Chapter 3 Lane Changing Model from NGSIM Dataset
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    Chapter 4 A Robust Fault Diagnosis Method in Presence of Noise and Missing Information for Industrial Plants
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    Chapter 5 A Preliminary Study of SMOTE on Imbalanced Big Datasets When Dealing with Sparse and Dense High Dimensionality
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    Chapter 6 A Novel Survival Analysis-Based Approach for Predicting Behavioral Probability of Default
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    Chapter 7 Mining Mixed Data Bases Using Machine Learning Algorithms
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    Chapter 8 A CNN-Based Driver’s Drowsiness and Distraction Detection System
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    Chapter 9 3D Convolutional Neural Network to Enhance Small-Animal Positron Emission Tomography Images in the Sinogram Domain
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    Chapter 10 Learning Dendrite Morphological Neurons Using Linkage Trees for Pattern Classification
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    Chapter 11 Deep Variational Method with Attention for High-Definition Face Generation
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    Chapter 12 Indoor Air Pollution Forecasting Using Deep Neural Networks
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    Chapter 13 Extreme Machine Learning Architectures Based on Correlation
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    Chapter 14 Evaluating New Set of Acoustical Features for Cry Signal Classification
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    Chapter 15 Motor Imagery Classification Using Riemannian Geometry in Multiple Frequency Bands with a Weighted Nearest Neighbors Approach
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    Chapter 16 Virtualizing 3D Real Environments Using 2D Pictures Based on Photogrammetry
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    Chapter 17 Factorized U-net for Retinal Vessel Segmentation
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    Chapter 18 Multi-view Learning for EEG Signal Classification of Imagined Speech
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    Chapter 19 Emotion Recognition Using Time-Frequency Distribution and GLCM Features from EEG Signals
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    Chapter 20 Leveraging Multiple Characterizations of Social Media Users for Depression Detection Using Data Fusion
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    Chapter 21 A Wide & Deep Learning Approach for Covid-19 Tweet Classification
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    Chapter 22 Does This Tweet Report an Adverse Drug Reaction? An Enhanced BERT-Based Method to Identify Drugs Side Effects in Twitter
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    Chapter 23 We Will Know Them by Their Style: Fake News Detection Based on Masked N-Grams
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    Chapter 24 Multi-document Text Summarization Based on Genetic Algorithm and the Relevance of Sentence Features
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    Chapter 25 On Labelling Pointclouds with the Nearest Facet of Triangulated Building Models
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    Chapter 26 Dust Deposition Classification on the Receiver Tube of the Parabolic Trough Collector: A Deep Learning-Based Approach
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    Chapter 27 Cable-Driven Parallel Robot Controlled by Servo-Vision System
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    Chapter 28 OSLeD-wA: A One-Stage Lesion Detection Method with Attention Mechanisms
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    Chapter 29 Detection of Pain Caused by a Thermal Stimulus Using EEG and Machine Learning
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    Chapter 30 A Lightweight Convolutional Neural Network for Breast Cancer Diagnosis with Histology Images
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    Chapter 31 Efficient Methodology Based on Convolutional Neural Networks with Augmented Penalization on Hard-to-Classify Boundary Voxels on the Task of Brain Lesion Segmentation
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    Chapter 32 Delimitation of Benign and Malignant Masses in Breast Ultrasound by Clustering of Intuitionistic Fuzzy Superpixels Using DBSCAN Algorithm
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    Chapter 33 Machine Learning and Symbolic Learning for the Recognition of Leukemia L1, L2 and L3
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Title
Pattern Recognition
Published by
Springer International Publishing, July 2022
DOI 10.1007/978-3-031-07750-0
ISBNs
978-3-03-107749-4, 978-3-03-107750-0
Editors

Vergara-Villegas, Osslan Osiris, Cruz-Sánchez, Vianey Guadalupe, Sossa-Azuela, Juan Humberto, Carrasco-Ochoa, Jesús Ariel, Martínez-Trinidad, José Francisco, Olvera-López, José Arturo

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