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IFIP IIP 2024: Shenzhen, China
- Zhongzhi Shi, Jim Tørresen, Shengxiang Yang:

Intelligent Information Processing XII - 13th IFIP TC 12 International Conference, IIP 2024, Shenzhen, China, May 3-6, 2024, Proceedings, Part II. IFIP Advances in Information and Communication Technology 704, Springer 2024, ISBN 978-3-031-57918-9
Pattern Recognition
- Jiaxing Ma, Yong Wang, Jun Wen, Bo Zhang, Wei Li:

Early Anomaly Detection in Hydraulic Pumps Based on LSTM Traffic Prediction Model. 3-15 - Aling Liao, Zan Zhang, Chenyang Bu, Lei Li:

Dynamic Parameter Estimation for Mixtures of Plackett-Luce Models. 16-31 - Dianjing Cheng, Xingyu Wu, Zhenghao Xie, Zhihua Cui, Qiong Li, Endong Tong, Wenjia Niu, Ziyi Wei, Xinyi Zhao:

Recognition of Signal Modulation Pattern Based on Multi-task Self-supervised Learning. 32-45 - Yusong Mu, Shumin Shi:

Dependency-Type Weighted Graph Convolutional Network on End-to-End Aspect-Based Sentiment Analysis. 46-57 - Liang Hua, Yong Huang, Chao Liu, Tao Zhu:

Utilizing Attention for Continuous Human Action Recognition Based on Multimodal Fusion of Visual and Inertial. 58-71 - Wenxuan Cui, Yingjie Chen, Yong Huang, Chao Liu, Tao Zhu

:
HARFMR: Human Activity Recognition with Feature Masking and Reconstruction. 72-86 - Bin Luo, Qi Qiu, Tao Zhu

, Zhenyu Liu:
CAPPIMU: A Composite Activities Dataset for Human Activity Recognition Utilizing Plantar Pressure and IMU Sensors. 87-100 - Yingjie Chen, Wenxuan Cui, Yong Huang, Chao Liu, Tao Zhu

:
Open-Set Sensor Human Activity Recognition Based on Reciprocal Time Series. 101-115
Image Understanding
- Lidan Tan

, Changwu Huang
, Xin Yao
:
A Concept-Based Local Interpretable Model-Agnostic Explanation Approach for Deep Neural Networks in Image Classification. 119-133 - Zuqiang Meng, Yue Peng:

A Deep Neural Network-Based Segmentation Method for Multimodal Brain Tumor Images. 134-149 - Valentine Oleka, Seyyed Mohsen Zahedi, Aboozar Taherkhani, Reza Baserinia

, S. Abolfazl Zahedi, Shengxiang Yang:
Graph Convolutional Networks for Predicting Mechanical Characteristics of 3D Lattice Structures. 150-160 - Stephen S. Aremu, Aboozar Taherkhani, Chang Liu, Shengxiang Yang:

3D Object Reconstruction with Deep Learning. 161-175 - Yongru Chen, Wenxian Zheng, Xiaying Bai, Qiqi Bao, Wenming Yang, Guijin Wang, Qingmin Liao:

Adaptive Prototype Triplet Loss for Cross-Resolution Face Recognition. 176-188 - Saneet Fulsunder, Saidu Umar

, Aboozar Taherkhani, Chang Liu, Shengxiang Yang:
Hand Gesture Recognition Using a Multi-modal Deep Neural Network. 189-203

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