Ausgabe 6/2023
Inhalt (20 Artikel)
Graph convolutional network for difficulty-controllable visual question generation
Feng Chen, Jiayuan Xie, Yi Cai, Zehang Lin, Qing Li, Tao Wang
Efficient continuous kNN join over dynamic high-dimensional data
Nimish Ukey, Guangjian Zhang, Zhengyi Yang, Binghao Li, Wei Li, Wenjie Zhang
FPGN: follower prediction framework for infectious disease prevention
Jianke Yu, Xianhang Zhang, Hanchen Wang, Xiaoyang Wang, Wenjie Zhang, Ying Zhang
Discovering time series motifs of all lengths using dynamic time warping
Zemin Chao, Hong Gao, Dongjing Miao, Hongzhi Wang
An effective method for the protection of user health topic privacy for health information services
Zongda Wu, Huawen Liu, Jian Xie, Guandong Xu, Gang Li, Chenglang Lu
A semi-supervised framework for concept-based hierarchical document clustering
Seyed Mojtaba Sadjadi, Hoda Mashayekhi, Hamid Hassanpour
Low-cost crossed probing path planning for network failure localization
Hongyun Gao, Laiping Zhao, Sheng Chen, Keqiu Li
Securing recommender system via cooperative training
Qingyang Wang, Chenwang Wu, Defu Lian, Enhong Chen
Graph neural network for recommendation in complex and quaternion spaces
Longcan Wu, Daling Wang, Shi Feng, Xiangmin Zhou, Yifei Zhang, Ge Yu
CoSP: co-selection pick for a global explainability of black box machine learning models
Dou El Kefel Mansouri, Seif-Eddine Benkabou, Khaoula Meddahi, Allel Hadjali, Amin Mesmoudi, Khalid Benabdeslem, Souleyman Chaib
KC-GEE: knowledge-based conditioning for generative event extraction
Tongtong Wu, Fatemeh Shiri, Jingqi Kang, Guilin Qi, Gholamreza Haffari, Yuan-Fang Li
A semantic and service-based approach for adaptive mutli-structured data curation in data lakehouses
Firas Zouari, Chirine Ghedira-Guegan, Khouloud Boukadi, Nadia Kabachi
Death comes but why: A multi-task memory-fused prediction for accurate and explainable illness severity in ICUs
Weitong Chen, Wei Emma Zhang, Lin Yue
Cross-domain aspect-based sentiment analysis using domain adversarial training
Joris Knoester, Flavius Frasincar, Maria Mihaela Truşcǎ
Entity alignment via graph neural networks: a component-level study
Yanfeng Shu, Ji Zhang, Guangyan Huang, Chi-Hung Chi, Jing He
Community aware graph embedding learning for item recommendation
Pengyi Hao, Zhaojie Qian, Shuang Wang, Cong Bai
UaMC: user-augmented conversation recommendation via multi-modal graph learning and context mining
Siqi Fan, Yequan Wang, Xiaobing Pang, Lisi Chen, Peng Han, Shuo Shang
TSEE: a novel knowledge embedding framework for cyberspace security
Angxiao Zhao, Zhaoquan Gu, Yan Jia, Wenying Feng, Jianye Yang, Yanchun Zhang
Click is not equal to purchase: multi-task reinforcement learning for multi-behavior recommendation
Huiwang Zhang, Pengpeng Zhao, Xuefeng Xian, Victor S. Sheng, Yongjing Hao, Zhiming Cui
Enhancing bitcoin transaction confirmation prediction: a hybrid model combining neural networks and XGBoost
Limeng Zhang, Rui Zhou, Qing Liu, Jiajie Xu, Chengfei Liu, Muhammad Ali Babar