ijcai 2019 论文列表Human Brain and Artificial Intelligence - First International Workshop, HBAI 2019, Held in Conjunction with IJCAI 2019, Macao, China, August 12, 2019, Revised Selected Papers. |
Balance Rule in Artificial Intelligence.
A Two-Stage Overlapping Community Detection Based on Structure and Node Attributes in Online Social Networks.
Model and Simulation of Microwave Ablation with Single Antennas on Irregular Hepatic Cancerous Tissue.
Affinity Propagation Clustering Using Centroid-Deviation-Distance Based Similarity.
Consistent and Specific Multi-view Relative-Transform Classification.
Unified Image Aesthetic Prediction via Scanpath-Guided Feature Aggregation Network.
Visualizing Emotional States: A Method Based on Human Brain Activity.
Adaptive Joint Attention with Reinforcement Training for Convolutional Image Caption.
Avoiding Implementation Pitfalls of "Matrix Capsules with EM Routing" by Hinton et al.
Tensor Super-Resolution with Generative Adversarial Nets: A Large Image Generation Approach.
Neural Networks as Model Selection with Incremental MDL Normalization.
Learning Preferences in a Cognitive Decision Model.
Implicit Cognition and Understanding Unobserved Human Mind States by Machines.
Brain Research and Arbitrary Multiscale Quantum Uncertainty.
Task-Nonspecific and Modality-Nonspecific AI.
Intraoperative Accurate Automatic Modeling of Skull Defects with Neuronavigation System.
Effect of Age on Postural Balance and Control: Graph Based Connectivity Analysis on Brain Network.
Applying Attention Mechanism and Deep Neural Network for Medical Object Segmentation and Classification in X-Ray Fluoroscopy Images.
Investigating Lexical and Semantic Cognition by Using Neural Network to Encode and Decode Brain Imaging.
Trends and Features of Human Brain Research Using Artificial Intelligence Techniques: A Bibliometric Approach.
Early Diagnosis of Alzheimer's Disease Based on Deep Learning and GWAS.
A Robust Automated Pipeline for Localizing SEEG Electrode Contacts.
Multi-task Dictionary Learning Based on Convolutional Neural Networks for Longitudinal Clinical Score Predictions in Alzheimer's Disease.
EEGNAS: Neural Architecture Search for Electroencephalography Data Analysis and Decoding.