Neural Information Processing

Knowledge Transfer.- An Analysis of the Interaction Between Transfer Learning Protocols in Deep Neural Networks.- Feature Learning and Representation.- Representation Learning for Heterogeneous Information Networks via Embedding Events.- Unified Framework for Visual Domain Adaptation Using Globality- Locality Preserving Projections.- Zero-shot Learning for Intrusion Detection via Attribute Representation.- Region Selection Model with Saliency Constraint for Fine-grained Recognition.- Siamese Net based Feature Learning for IDS.- Self-Attentive Pyramid Network for Single Image De-raining.- Human Centred Computing.- Feature Fusion Based Deep Spatiotemporal Model for Violence Detection in Videos.- Learning to Navigate in Human Environments via Deep Reinforcement Learning.- An Effective Yawn Behavior Detection Method in Classroom.- Bidirectional LSTM with MFCC Feature Extraction for Sleep Arousal Detection in Multi-channel Signal Data.- Development of Biomedical Corpus Enlargement Platform Using BERT for Bio-entity Recognition.- A Generative Face Completion Method Based on Associative Memory.- White-Box Target Attack for EEG-Based BCI Regression Problems.- Human Centred Computing and Medicine.- Real-time Guidewire Segmentation and Tracking in Endovascular Aneurysm Repair.- Infra-slow Electroencephalogram Power is Associated with Reaction Time in Simple Discrimination Tasks.- Classifying Speech Data in Parkinson's Disease Based on Class Probability Output Networks.- ConvCaps: Multi-input capsule network for brain tumor classification.- G-ResNet: Improved ResNet for brain tumor classification.- Affinity Graph based End-to-End Deep Convolutional Networks for CT Hemorrhage Segmentation.- On the Stability of a Pass-thought Security System in Different Brain States.- Brain network decomposition by Auto Encoder (AE) and Graph Auto Encoder (GAE).- Hybrid Models.- Accelerated training algorithms of general fuzzy min-max neural network using GPU for very high dimensional data.- Evolving Artificial Neural Networks Using Butterfly Optimization Algorithm for Data Classification.- Evolving an Optimal Decision Template for Combining Classifiers.- Performance Comparison of Type-1 and Type-2 Neuro-Fuzzy Controllers for A Flexible Joint Manipulator.- Fuzzy Deep Neural Network for Classification of Overlapped Data .- On the Use of Diversity Mechanisms in Dynamic Constrained Continuous Optimization.- A Deep Hierarchical Reinforcement Learner for Aerial Shepherding of Ground Swarms.- Fuzzy Bilinear Latent Canonical Correlation Projection for Feature Learning.- Evolving Pictures in Image Transition Space.- Improved Multi-objective Evolutionary Subspace Clustering.- Network of Experts: Learning from evolving data streams through network-based ensembles.- Deep Extremely Randomized Trees.- International Workshop on Artificial Intelligence and Cybersecurity 2019.- An advanced version of MDNet for visual tracking.- Enhanced LSTM with Batch Normalization.- Combating Threat-Alert Fatigue with Online Anomaly Detection using Isolation Forest.