Neural Information Processing 27th International Conference ICONIP 2020 Bangkok Thailand November 18 22 2020 Proceedings Part IV Haiqin Yang 3030638200 9783030638207

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Product details:

• ISBN 10: 3030638200
• ISBN 13: 9783030638207
• Author: Haiqin Yang

The two-volume set CCIS 1332 and 1333 constitutes thoroughly refereed contributions presented at the 27th International Conference on Neural Information Processing, ICONIP 2020, held in Bangkok, Thailand, in November 2020.* For ICONIP 2020 a total of 378 papers was carefully reviewed and selected for publication out of 618 submissions. The 191 papers included in this volume set were organized in topical sections as follows: data mining; healthcare analytics-improving healthcare outcomes using big data analytics; human activity recognition; image processing and computer vision; natural language processing; recommender systems; the 13th international workshop on artificial intelligence and cybersecurity; computational intelligence; machine learning; neural network models; robotics and control; and time series analysis. * The conference was held virtually due to the COVID-19 pandemic.

Table of contents:

A Hybrid Representation of Word Images for Keyword Spotting

A Simple and Novel Method to Predict the Hospital Energy Use Based on Machine Learning: A Case Study in Norway

An Empirical Study to Investigate Different SMOTE Data Sampling Techniques for Improving Software Refactoring Prediction

Prediction Model of Breast Cancer Based on mRMR Feature Selection

Clustering Ensemble Selection with Analytic Hierarchy Process

Deep Learning for In-Vehicle Intrusion Detection System

Efficient Binary Multi-view Subspace Learning for Instance-Level Image Retrieval

Hyper-Sphere Support Vector Classifier with Hybrid Decision Strategy

Knowledge Graph Embedding Based on Relevance and Inner Sequence of Relations

MrPC: Causal Structure Learning in Distributed Systems

Online Multi-objective Subspace Clustering for Streaming Data

Predicting Information Diffusion Cascades Using Graph Attention Networks

PrivRec: User-Centric Differentially Private Collaborative Filtering Using LSH and KD

Simultaneous Customer Segmentation and Behavior Discovery

Structural Text Steganography Using Unseen Tag Attribute Values

Trajectory Anomaly Detection Based on the Mean Distance Deviation

Tweet Relevance Based on the Theory of Possibility

Healthcare Analytics-Improving Healthcare Outcomes Using Big Data Analytics

A Semantically Flexible Feature Fusion Network for Retinal Vessel Segmentation

Automatic Segmentation and Diagnosis of Intervertebral Discs Based on Deep Neural Networks

Detecting Alzheimer’s Disease by Exploiting Linguistic Information from Nepali Transcript

Explaining AI-Based Decision Support Systems Using Concept Localization Maps

Learning from the Guidance: Knowledge Embedded Meta-learning for Medical Visual Question Answering

Response Time Determinism in Healthcare Data Analytics Using Machine Learning

Human Activity Recognition

A Landmark Estimation and Correction Network for Automated Measurement of Sagittal Spinal Parameters

Facial Expression Recognition with an Attention Network Using a Single Depth Image

Fast and Accurate Hand-Raising Gesture Detection in Classroom

Identifying Anger Veracity Using Neural Network and Long-Short Term Memory with Bimodal Distribution Removal

Learning and Distillating the Internal Relationship of Motion Features in Action Recognition

SME User Classification from Click Feedback on a Mobile Banking Apps

Image Processing and Computer Vision

3D Human Pose Estimation with 2D Human Pose and Depthmap

A Malware Classification Method Based on Basic Block and CNN

A Shape-Aware Feature Extraction Module for Semantic Segmentation of 3D Point Clouds

A Strong Baseline for Fashion Retrieval with Person Re-identification Models

Adaptive Feature Enhancement Network for Semantic Segmentation

BEDNet: Bi-directional Edge Detection Network for Ocean Front Detection

Convolutional Neural Networks and Periocular Region Image Recognition

CPCS: Critical Points Guided Clustering and Sampling for Point Cloud Analysis

Customizable GAN: Customizable Image Synthesis Based on Adversarial Learning

Declarative Residual Network for Robust Facial Expression Recognition

Deep Feature Compatibility for Generated Images Quality Assessment

DRGCN: Deep Relation GCN for Group Activity Recognition

Dual Convolutional Neural Networks for Hyperspectral Satellite Images Classification (DCNN-HSI)

Edge Curve Estimation by the Nonparametric Parzen Kernel Method

Efficient Segmentation Pyramid Network

EMOTIONCAPS – Facial Emotion Recognition Using Capsules

End-to-end Saliency-Guided Deep Image Retrieval

Exploring Spatiotemporal Features for Activity Classifications in Films

Feature Redirection Network for Few-Shot Classification

Generative Adversarial Networks for Improving Object Detection in Camouflaged Images

Light Textspotter: An Extreme Light Scene Text Spotter

LPI-Net: Lightweight Inpainting Network with Pyramidal Hierarchy

MobileHand: Real-Time 3D Hand Shape and Pose Estimation from Color Image

Monitoring Night Skies with Deep Learning

MRNet: A Keypoint Guided Multi-scale Reasoning Network for Vehicle Re-identification

Multi-modal Feature Attention for Cervical Lymph Node Segmentation in Ultrasound and Doppler Images

MultiTune: Adaptive Integration of Multiple Fine-Tuning Models for Image Classification

No-Reference Quality Assessment Based on Spatial Statistic for Generated Images

Pairwise-GAN: Pose-Based View Synthesis Through Pair-Wise Training

Pixel-Semantic Revising of Position: One-Stage Object Detector with Shared Encoder-Decoder

Reduction of Polarization-State Spread in Phase-Distortion Mitigation by Phasor-Quaternion Neural Networks in PolInSAR

RoadNetGAN: Generating Road Networks in Planar Graph Representation

Routing Attention Shift Network for Image Classification and Segmentation

SpotFast Networks with Memory Augmented Lateral Transformers for Lipreading

Towards Online Handwriting Recognition System Based on Reinforcement Learning Theory

Training Lightweight yet Competent Network via Transferring Complementary Features

TSGYE: Two-Stage Grape Yield Estimation

Unsupervised Reused Convolutional Network for Metal Artifact Reduction

Visual-Based Positioning and Pose Estimation

Voxel Classification Based Automatic Hip Cartilage Segmentation from Routine Clinical MR Images

Natural Language Processing

Active Learning Based Relation Classification for Knowledge Graph Construction from Conversation Data

Adversarial Shared-Private Attention Network for Joint Slot Filling and Intent Detection

Automatic Classification and Comparison of Words by Difficulty

Dual-Learning-Based Neural Machine Translation Using Undirected Sequence Model for Document Translation

From Shortsighted to Bird View: Jointly Capturing All Aspects for Question-Answering Style Aspect-Based Sentiment Analysis

Hierarchical Sentiment Estimation Model for Potential Topics of Individual Tweets

Key Factors of Email Subject Generation

Learning Interactions at Multiple Levels for Abstractive Multi-document Summarization

Multitask Learning Based on Constrained Hierarchical Attention Network for Multi-aspect Sentiment Classification

Neural Machine Translation with Soft Reordering Knowledge

Open Event Trigger Recognition Using Distant Supervision with Hierarchical Self-attentive Neural Network

Reinforcement Learning Based Personalized Neural Dialogue Generation

Sparse Lifting of Dense Vectors: A Unified Approach to Word and Sentence Representations

Word-Level Error Correction in Non-autoregressive Neural Machine Translation

Recommender Systems

ANN-Assisted Multi-cloud Scheduling Recommender

Correlation-Aware Next Basket Recommendation Using Graph Attention Networks

Deep Matrix Factorization on Graphs: Application to Collaborative Filtering

Improving Social Recommendations with Item Relationships

MCRN: A New Content-Based Music Classification and Recommendation Network

Order-Aware Embedding Non-sampling Factorization Machines for Context-Aware Recommendation

The 13th International Workshop on Artificial Intelligence and Cybersecurity

A Deep Learning Model for Early Prediction of Sepsis from Intensive Care Unit Records

AdversarialQR Revisited: Improving the Adversarial Efficacy

Hybrid Loss for Improving Classification Performance with Unbalanced Data

Multi-scale Attention Consistency for Multi-label Image Classification

Quantile Regression Hindsight Experience Replay

Sustainable Patterns of Pigeon Flights Over Different Types of Terrain

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