Intelligent Information Processing XII
Description
The 49 full papers and 5 short papers presented in these proceedings were carefully reviewed and selected from 58 submissions. The papers are organized in the following topical sections:
Volume I: Machine Learning; Natural Language Processing; Neural and Evolutionary Computing; Recommendation and Social Computing; Business Intelligence and Risk Control; and Pattern Recognition.
Volume II: Image Understanding.
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Content
.- Early Anomaly Detection in Hydraulic Pumps Based on LSTM Traffic Prediction Model.
.- Dynamic Parameter Estimation for Mixtures of Plackett-Luce Models.
.- Recognition of Signal Modulation Pattern Based on Multi-Task Self-Supervised Learning.
.- Dependency-Type Weighted Graph Convolutional Network on End-to-End Aspect-Based Sentiment Analysis.
.- Utilizing Attention for Continuous Human Action Recognition Based on Multimodal Fusion of Visual and Inertial.
.- HARFMR: Human Activity Recognition with Feature Masking and Reconstruction.
.- CAPPIMU: A Composite Activities Dataset for Human Activity Recognition Utilizing Plantar Pressure and IMU Sensors.
.- Open-Set Sensor Human Activity Recognition Based on Reciprocal Time Series.
.- Image Understanding .
.- A Concept-Based Local Interpretable Model-agnostic Explanation Approach for Deep Neural Networks in Image Classification.
.- A Deep Neural Network-based Segmentation Method for Multimodal Brain Tumor Images.
.- Graph Convolutional Networks for Predicting Mechanical Characteristics of 3D Lattice Structures.
.- 3D Object Reconstruction with Deep Learning.
.- Adaptive Prototype Triplet Loss for Cross-Resolution Face Recognition.
.- Hand Gesture Recognition Using a Multi-modal Deep Neural Network.
