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PRICAI 2019: Trends in Artificial Intelligence

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Cover of 'PRICAI 2019: Trends in Artificial Intelligence'

Table of Contents

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    Book Overview
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    Chapter 1 Attacking Object Detectors Without Changing the Target Object
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    Chapter 2 D_dNet-65 R-CNN: Object Detection Model Fusing Deep Dilated Convolutions and Light-Weight Networks
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    Chapter 3 Bi-directional Features Reuse Network for Salient Object Detection
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    Chapter 4 Image Retrieval with Similar Object Detection and Local Similarity to Detected Objects
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    Chapter 5 Audio-Based Music Classification with DenseNet and Data Augmentation
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    Chapter 6 Bayesian Classifier Modeling for Dirty Data
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    Chapter 7 Adversarial Feature Distillation for Facial Expression Recognition
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    Chapter 8 General Interaction-Aware Neural Network for Action Recognition
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    Chapter 9 Differential Privacy with Variant-Noise for Gaussian Processes Classification
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    Chapter 10 Zero-Shot Slot Filling via Latent Question Representation and Reading Comprehension
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    Chapter 11 Constrained Relation Network for Character Detection in Scene Images
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    Chapter 12 Effective Optical Braille Recognition Based on Two-Stage Learning for Double-Sided Braille Image
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    Chapter 13 Document-Level Named Entity Recognition with Q-Network
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    Chapter 14 Deep Learning Method with Attention for Extreme Multi-label Text Classification
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    Chapter 15 Rule-Based HierarchicalRank: An Unsupervised Approach to Visible Tag Extraction from Semi-structured Chinese Text
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    Chapter 16 A POS Tagging Model for Vietnamese Social Media Text Using BiLSTM-CRF with Rich Features
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    Chapter 17 AutoEncoder Guided Bootstrapping of Semantic Lexicon
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    Chapter 18 Hierarchical Convolutional Attention Networks Using Joint Chinese Word Embedding for Text Classification
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    Chapter 19 Machine Learning Based Cross-border E-Commerce Commodity Customs Product Name Recognition Algorithm
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    Chapter 20 A Syllable-Structured, Contextually-Based Conditionally Generation of Chinese Lyrics
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    Chapter 21 An End-to-End Preprocessor Based on Adversiarial Learning for Mongolian Historical Document OCR
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    Chapter 22 UFANS: U-Shaped Fully-Parallel Acoustic Neural Structure for Statistical Parametric Speech Synthesis
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    Chapter 23 A Hierarchical Attention Based Seq2Seq Model for Chinese Lyrics Generation
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    Chapter 24 Benchmarking NLP Toolkits for Enterprise Application
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    Chapter 25 Unsupervised Data Augmentation for Improving Traffic Sign Recognition
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    Chapter 26 Detection of Anomalous Traffic Patterns and Insight Analysis from Bus Trajectory Data
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    Chapter 27 Knowledge-Based Robotic Agent as a Game Player
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    Chapter 28 Urban Traffic Control Using Distributed Multi-agent Deep Reinforcement Learning
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    Chapter 29 Limited Receptive Field Network for Real-Time Driving Scene Semantic Segmentation
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    Chapter 30 A Truthful Online Mechanism for Resource Allocation in Fog Computing
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    Chapter 31 Graph Representation of Road and Traffic for Autonomous Driving
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    Chapter 32 Primate Face Identification in the Wild
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    Chapter 33 Evaluation of Human Body Detection Using Deep Neural Networks with Highly Compressed Videos for UAV Search and Rescue Missions
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    Chapter 34 A Deep Learning Approach for Dog Face Verification and Recognition
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    Chapter 35 A Modern Approach for Sign Language Interpretation Using Convolutional Neural Network
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    Chapter 36 Clustering of Small-Sample Single-Cell RNA-Seq Data via Feature Clustering and Selection
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    Chapter 37 Stratifying Risk of Coronary Artery Disease Using Discriminative Knowledge-Guided Medical Concept Pairings from Clinical Notes
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    Chapter 38 Improving the Results of De novo Peptide Identification via Tandem Mass Spectrometry Using a Genetic Programming-Based Scoring Function for Re-ranking Peptide-Spectrum Matches
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    Chapter 39 Computational Prediction of Lysine Pupylation Sites in Prokaryotic Proteins Using Position Specific Scoring Matrix into Bigram for Feature Extraction
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    Chapter 40 A Light-Weight Context-Aware Self-Attention Model for Skin Lesion Segmentation
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    Chapter 41 Development of an Assistive Tongue Drive System for Disabled Individuals
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    Chapter 42 Deep Transfer Collaborative Filtering for Recommender Systems
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    Chapter 43 Multiple Knowledge Transfer for Cross-Domain Recommendation
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    Chapter 44 Joint Extraction of Opinion Targets and Opinion Expressions Based on Cascaded Model
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    Chapter 45 Towards Effective Data Augmentations via Unbiased GAN Utilization
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    Chapter 46 Weakly Supervised Joint Entity-Sentiment-Issue Model for Political Opinion Mining
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    Chapter 47 A Case-Based Reasoning Approach for Facilitating Online Discussions
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    Chapter 48 Building Adversarial Defense with Non-invertible Data Transformations
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    Chapter 49 Extracting Implicit Friends from Heterogeneous Information Network for Social Recommendation
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    Chapter 50 CD-ABM: Curriculum Design with Attention Branch Model for Person Re-identification
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    Chapter 51 Non-stationary Multivariate Time Series Prediction with Selective Recurrent Neural Networks
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    Chapter 52 A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks
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    Chapter 53 Deep Feature Translation Network Guided by Combined Loss for Single Image Super-Resolution
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    Chapter 54 Heterogeneity-Oriented Immunization Strategy on Multiplex Networks
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    Chapter 55 Supervised Clinical Abbreviations Detection and Normalisation Approach
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    Chapter 56 Duo Attention with Deep Learning on Tomato Yield Prediction and Factor Interpretation
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    Chapter 57 Fast Valuation of Large Portfolios of Variable Annuities via Transfer Learning
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    Chapter 58 Forecasting of Currency Exchange Rate Using Artificial Neural Network: A Case Study of Solomon Island Dollar
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    Chapter 59 CapDRL: A Deep Capsule Reinforcement Learning for Movie Recommendation
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    Chapter 60 Portfolio Risk Optimisation and Diversification Using Swarm Intelligence
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    Chapter 61 Multi-peak Algorithmic Trading Strategies Using Grey Wolf Optimizer
Overall attention for this book and its chapters
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Title
PRICAI 2019: Trends in Artificial Intelligence
Published by
Springer International Publishing, November 2019
DOI 10.1007/978-3-030-29894-4
ISBNs
978-3-03-029893-7, 978-3-03-029894-4
Editors

Nayak, Abhaya C., Sharma, Alok

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 20%
Student > Master 7 13%
Lecturer 4 7%
Student > Doctoral Student 2 4%
Student > Bachelor 2 4%
Other 6 11%
Unknown 24 43%
Readers by discipline Count As %
Computer Science 19 34%
Social Sciences 2 4%
Biochemistry, Genetics and Molecular Biology 1 2%
Mathematics 1 2%
Business, Management and Accounting 1 2%
Other 5 9%
Unknown 27 48%