Neural Information Processing 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part IV

Adversarial Deep Learning with Stackelberg Games.- Enhance Feature Representation of Dual Networks for Attribute Prediction.- Data augment in imbalanced learning based on  Generative Adversarial Networks.- A deep learning scheme for extracting pedestrian-parcel tuples from videos.- Support Matching: a Novel Regularization to Escape from Mode Collapse in GANs.- Patch-based Generative Adversarial Network Towards Retinal Vessel Segmentation.- A Gradient-based Algorithm to Deceive Deep Neural Networks.- Writing Style Adversarial Network for Handwritten Chinese Character Recognition.- Recovering Super-Resolution Generative Adversarial Network for Underwater Images.- Hierarchical Attention CNN Model for Relation Extraction.-  Fault Tolerant Broad Learning System.- Group Loss: An Efficient Strategy for Salient Object Detection.- PPGCN: a message selection based approach for graph classification.- Multi-Task Temporal Convolutional Network for Predicting Water Quality Sensor Data.- CNN-LSTM Neural Networks for Anomalous Database Intrusion Detection in RBAC-Administered Model.- MC-HDCNN: Computing the Stereo Matching Cost with a Hybrid Dilated Convolutional Neural Network.- Convolutional Neural Network to Detect Thorax Diseases from Multi-View Chest X-Rays.- Visual Speaker Authentication by a CNN-based Scheme with Discriminative Segment Analysis.- Intrusion Detection Using Temporal Convolutional Networks.- Empirical Study of Easy and Hard Examples in CNN Training.- GCNDA:Graph Convolutional Networks with  Dual Attention Mechanisms for Aspect Based Sentiment Analysis.- A Wind Power Prediction Method Based on Deep Convolutional Network with Multiple Features.- Simple ConvNet Based on Bag of MLP-based Local Descriptors.- Convolutional LSTM: A Deep Learning Method for Motion Intention Recognition Based on Spatiotemporal EEG Data.- A Deep Neural Network Model for Rating Prediction based on Multi-layer Prediction and Multi-granularity Latent Feature Vectors.- LSPM: Joint Deep Modeling of Long-term Preference and Short-term Preference for Recommendation.- How we Achieved a Production Ready Slot Filling Deep Neural Network without Initial Natural Language Data.- Swarm Intelligence Based Ensemble Learning of Deep Neural Networks.- DSMRSeg:Dual-Stage feature pyramid and Mutil-Range context aggregation for real-time Semantic Segmentation.- Safety and Robustness of Deep Neural Networks Object Recognition under Generic Attacks.- Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning.- Improving the Identification of Code Smells by Combining Structural and Semantic Information.- Learnable Gabor Convolutional Networks.- Deep Autoencoder on Personalized Facet Selection.- Attention-based Deep Q-Network in Complex Systems.- Effect of Data Augmentation and Lung Mask Segmentation for Automated Chest Radiograph Interpretation of Some Lung Diseases.- A Comparison Study of Deep Learning Techniques to Increase the Spatial Resolution of Photo-realistic Images.- Neural Architecture Search for Domestic Audio Tagging.- A Robust Embedding for Attributed Networks with Outliers.- Pay Attention to Deep Feature Fusion in Crowd Density Estimation.- Knowledge Reuse of Learning Agent Based on Factor Information of Behavioral Rules.- Community Based Node Embeddings for Networks.- Code Generation from Supervised Code Embeddings.- ComNE: Reinforcing Network Embedding with Community Learning.- D2PLS: A Novel Bilinear Method for Facial Feature Fusion.- Learning Network Representation via Ego-network-level Relationship.- DMCM: A Deep Multi-Channel Model for Dynamic Movie Recommendation.- Dance to Music Expressively: A Brain-inspired System Based on Audio-semantic Model for Cognitive Development of Robots.- Identifying EEG responses modulated by working memory loads from weighted phase lag index based functional connectivity microstates.- Combining Fisheye Camera with Odometer for Autonomous Parking.- Deep Learning and Statistical Modelsfor Time-Critical Pedestrian Behaviour Prediction.- Multi-class Human Body Parsing with Edge-Enhancement Network.- vUBM: Variational Universal Background Model for EEG-based Person Authentication.- Passenger Demographic Attributes Prediction for Human-centered Public Transport.- Spontaneous EEG classification using complex valued neural network.- Tongue Coating Classification Based on Multiple-Instance Learning and Deep Features.- Machine Learning based Trust Model for  Misbehaviour Detection in Internet-of-Vehicles.- Toward the Ontology-Based Security Verification and Validation Model for the Vehicular Domain.- Encephalographic Assessment of Situation Awareness in Teleoperation of Human-Swarm Teaming.- Adaptive Estimation of Human-Robot Interaction Force for Lower Limb Rehabilitation.- Effect of incomplete memorization in a computational model of human cognition.- Decoding Action Observation Using Complex Brain Networks from Simultaneously Recorded EEG-fNIRS Signals .- Characterizing and Identifying Autism Disorder Using Regional Connectivity Patterns and Extreme Gradient Boosting Classifier.- TP-ADMM: An Efficient Two-Stage Framework for Training Binary Neural Networks.- Fast and Accurate Lung Tumor Spotting and Segmentation for Boundary Delineation on CT Slices In A Coarse-To-Fine Framework.- Exploration of Different Attention Mechanisms on Medical Image Segmentation.- Machine learning based method for Huntington's disease gait pattern recognition.- Research on Deep Learning-based Intelligent Diagnosis Algorithms for OCT Medical Images of Macular Edema.- Using (automated) machine learning and drug prescrip-tion records to predict mortality and polypharmacy in older type 2 diabetes mellitus patients .- Deep Vision System for Clinical Gait Analysis in and out of Hospital.- Recognizing Facial Expressions of Occluded Faces using Convolutional Neural Networks.- Analysis of Key Face Parts to Detect Emotional Expression Using a Neural Network Model.- Multi-task Gated Contextual Cross-modal Attention Framework for Sentiment and Emotion Analysis.- A Cross-Culture Study on Multimodal Emotion Recognition Using Deep Learning.- Time-Frequency Deep Representation Learning for Speech Emotion Recognition Integrating Self-Attention.- Sparse Graphic Attention LSTM for EEG Emotion Recognition.- Dynamic Facial Stress Recognition in Temporal Convolutional Network.- A Comparison of CasPer Against Other ML Techniques for Stress Recognition.- On Explainable Flexible Fuzzy Recommender and Its Performance Evaluation Using the Akaike Information Criterion.- A Hybrid Evolutionary Algorithm with Taboo and Competition Strategies for Minimum Vertex Cover Problem.- An Ant Colony System for Carpool Service Problem with High Seating Capacity.- Enhancing Artificial Bee Colony Algorithm with Directional Information.- Using Evolutionary Algorithms for Hyperparameter Tuning and Network Reduction Techniques to Classify Core Porosity Classes based on Petrographical Descriptions.- Using an Evolutionary Algorithm to optimise the hyper-parameters of a cascading neural network .- Instruction Cognitive One-Shot Malware Outbreak Detection.- A Fast Algorithm for Constructing Phylogenetic Trees with Application to IoT Malware Clustering.