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Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges

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Cover of 'Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges'

Table of Contents

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    Book Overview
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    Chapter 1 Uncalibrated, Unified and Unsupervised Specular-Aware Photometric Stereo
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    Chapter 2 Appearance-Independent Pose-Based Posture Classification in Infants
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    Chapter 3 Emotion, Age and Gender Prediction Through Masked Face Inpainting
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    Chapter 4 A Masked Face Classification Benchmark on Low-Resolution Surveillance Images
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    Chapter 5 Lightweight Human Pose Estimation Using Loss Weighted by Target Heatmap
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    Chapter 6 BYTEv2: Associating More Detection Boxes Under Occlusion for Improved Multi-person Tracking
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    Chapter 7 Fast and Effective Detection of Personal Protective Equipment on Smart Cameras
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    Chapter 8 Towards an Accurate 3D Deformable Eye Model for Gaze Estimation
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    Chapter 9 2D-Pose Based Human Body Segmentation for Weakly-Supervised Concealed Object Detection in Backscatter Millimeter-Wave Images
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    Chapter 10 Toward Surroundings-Aware Temporal Prediction of 3D Human Skeleton Sequence
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    Chapter 11 MTGR: Improving Emotion and Sentiment Analysis with Gated Residual Networks
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    Chapter 12 A Computational Approach for Analysing Autistic Behaviour During Dyadic Interactions
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    Chapter 13 Region-Based Trajectory Analysis for Abnormal Behaviour Detection: A Trial Study for Suicide Detection and Prevention
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    Chapter 14 Automated Behavior Labeling During Team-Based Activities Involving Neurodiverse and Neurotypical Partners Using Multimodal Data
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    Chapter 15 Emergence of Collaborative Hunting via Multi-Agent Deep Reinforcement Learning
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    Chapter 16 Computational Multimodal Models of Users’ Interactional Trust in Multiparty Human-Robot Interaction
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    Chapter 17 An Exploratory Study on Group Potency Classification from Non-verbal Social Behaviours
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    Chapter 18 Multi-Channel Time-Series Person and Soft-Biometric Identification
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    Chapter 19 To Invest or Not to Invest: Using Vocal Behavior to Predict Decisions of Investors in an Entrepreneurial Context
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    Chapter 20 Enhancing the Linear Probing Performance of Masked Auto-Encoders
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    Chapter 21 Involving Density Prior for 3D Point Cloud Contrastive Learning
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    Chapter 22 Joint Masked Autoencoding with Global Reconstruction for Point Cloud Learning
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    Chapter 23 Understanding the Properties and Limitations of Contrastive Learning for Out-of-Distribution Detection
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    Chapter 24 Deep Learning Architectures for Pain Recognition Based on Physiological Signals
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    Chapter 25 Egocentric Hand Gesture Recognition on Untrimmed Videos Using State Activation Gate LSTMs
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    Chapter 26 Representation Learning for Tablet and Paper Domain Adaptation in Favor of Online Handwriting Recognition
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    Chapter 27 Active Learning Monitoring in Classroom Using Deep Learning Frameworks
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    Chapter 28 Pain Detection in Biophysiological Signals: Transfer Learning from Short-Term to Long-Term Stimuli Based on Signal Segmentation
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    Chapter 29 Leveraging Sentiment Analysis Knowledge to Solve Emotion Detection Tasks
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    Chapter 30 Analyzing the Prosodic and Lingual Features of Popular Speakers
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    Chapter 31 Evaluating Proposed Fairness Models for Face Recognition Algorithms
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    Chapter 32 Disparate Impact in Facial Recognition Stems from the Broad Homogeneity Effect: A Case Study and Method to Resolve
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    Chapter 33 The Influence of Gender and Skin Colour on the Watchlist Imbalance Effect in Facial Identification Scenarios
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    Chapter 34 Fairness Index Measures to Evaluate Bias in Biometric Recognition
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    Chapter 35 Class-Balanced Affinity Loss for Highly Imbalanced Tissue Classification in Computational Pathology
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    Chapter 36 Hybrid Approach for the Design of CNNs Using Genetic Algorithms for Melanoma Classification
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    Chapter 37 Transfer Learning in Breast Mass Detection on the OMI-DB Dataset: A Preliminary Study
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    Chapter 38 On the Applicability of Prototypical Part Learning in Medical Images: Breast Masses Classification Using ProtoPNet
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    Chapter 39 Deep Learning for Remote Heart Rate Estimation: A Reproducible and Optimal State-of-the-Art Framework
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    Chapter 40 Automatic Bowel Preparation Assessment Using Deep Learning
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    Chapter 41 A Hierarchical 3D Segmentation Model for Cone-Beam Computed Tomography Dental-Arch Scans
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    Chapter 42 SARS-CoV-2 Induced Pneumonia Early Detection System Based on Chest X-Ray Images Analysis by Jacobian-Regularized Deep Network
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    Chapter 43 SERCNN: Stacked Embedding Recurrent Convolutional Neural Network in Detecting Depression on Twitter
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    Chapter 44 Predicting Alzheimer’s Disease: A Stroke-Based Handwriting Analysis Approach Based on Machine Learning
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    Chapter 45 Unsupervised Brain MRI Anomaly Detection for Multiple Sclerosis Classification
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    Chapter 46 Dep-Emotion: Suppressing Uncertainty to Recognize Real Emotions in Depressed Patients
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    Chapter 47 EEG-Based Joint Semi-supervised Learning for Major Depressive Disorder Detection
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    Chapter 48 Subject-Aware Explainable Contrastive Deep Fusion Learning for Anxiety Level Analysis
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    Chapter 49 MMDA: A Multimodal Dataset for Depression and Anxiety Detection
Attention for Chapter 36: Hybrid Approach for the Design of CNNs Using Genetic Algorithms for Melanoma Classification
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Chapter title
Hybrid Approach for the Design of CNNs Using Genetic Algorithms for Melanoma Classification
Chapter number 36
Book title
Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-37660-3_36
Book ISBNs
978-3-03-137659-7, 978-3-03-137660-3
Authors

Di Biasi, Luigi, De Marco, Fabiola, Auriemma Citarella, Alessia, Barra, Paola, Piotto Piotto, Stefano, Tortora, Genoveffa