Intelligent Information Processing XII -

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Résumé :
.- 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....

Sommaire:
.- 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....