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ORCID24th WISE 2023: Melbourne, VIC, Australia
- Feng Zhang, Hua Wang
, Mahmoud Barhamgi, Lu Chen, Rui Zhou:
Web Information Systems Engineering - WISE 2023 - 24th International Conference, Melbourne, VIC, Australia, October 25-27, 2023, Proceedings. Lecture Notes in Computer Science 14306, Springer 2023, ISBN 978-981-99-7253-1
Text and Sentiment Analysis
- Ghada Ben Abdennour, Karim Gasmi, Ridha Ejbali:
Ensemble Learning Model for Medical Text Classification. 3-12 - Manel BenSassi, Maher Abbes, Faten Atigui:
Fuzzy Based Text Quality Assessment for Sentiment Analysis. 13-23 - Chengzhe Yuan, Zekai Zhou, Feiyi Tang, Ronghua Lin, Chengjie Mao, Luyao Teng:
Prompt-Learning for Semi-supervised Text Classification. 24-34 - Xuqiang Xue, Xiaoming Wu, Shengnan Li, Xiangzhi Liu, Man Li:
Label-Dependent Hypergraph Neural Network for Enhanced Multi-label Text Classification. 35-49 - Pengcheng Xiao, Peng Lu, Chunqi Luo, Zhousen Zhu, Xuehua Liao:
Fast Text Comparison Based on ElasticSearch and Dynamic Programming. 50-64
Question Answering and Information Retrieval
- Yuyang He, Juntao Zhang, Xiandi Yang, Zhiyong Peng:
User Context-Aware Attention Networks for Answer Selection. 67-81 - Xun Yao, Junlong Ma, Xinrong Hu, Jie Yang, Yi Guo, Junping Liu:
Towards Robust Token Embeddings for Extractive Question Answering. 82-96 - Jingyi Wang, Xuedong Tian:
Math Information Retrieval with Contrastive Learning of Formula Embeddings. 97-107
Social Media and News Analysis
- Wei Huang, Guohao Sun, Mei Wang, Weiliang Zhao, Jian Yang:
Influence Embedding from Incomplete Observations in Sina Weibo. 111-121 - Ziyuan Jing, Basem Suleiman, Waheeb Yaqub, Manoranjan Mohanty:
Dissemination of Fact-Checked News Does Not Combat False News: Empirical Analysis. 122-133 - Lihua Liu, Mao Wang, Haiwei Jiang, Ziming Li, Peifan Shi, Youhuan Li:
Highly Applicable Linear Event Detection Algorithm on Social Media with Graph Stream. 134-143 - Alessandro Visintin, Mauro Conti:
Leveraging Social Networks for Mergers and Acquisitions Forecasting. 144-159 - Hongjiao Liu, Shan Xue, Jian Yang, Jia Wu:
Enhancing Trust Prediction in Attributed Social Networks with Self-Supervised Learning. 160-175
Security and Privacy
- Phavithra Manoharan, Wei Hong, Jiao Yin, Yanchun Zhang, Wenjie Ye, Jiangang Ma:
Bilateral Insider Threat Detection: Harnessing Standalone and Sequential Activities with Recurrent Neural Networks. 179-188 - Bo Cui, Jinling Li, Wenhan Hou:
ATDG: An Automatic Cyber Threat Intelligence Extraction Model of DPCNN and BIGRU Combined with Attention Mechanism. 189-204 - Maojie Wang, Shaodong Han, Guihong Chen, Jiao Yin, Jinli Cao:
Blockchain-Empowered Resource Allocation and Data Security for Efficient Vehicular Edge Computing. 205-219 - Yuzi Yi, Nafei Zhu, Jingsha He, Xiangjun Ma, Yehong Luo:
Priv-S: Privacy-Sensitive Data Identification in Online Social Networks. 220-234 - Mingshan You, Yong-Feng Ge, Kate N. Wang, Hua Wang, Jinli Cao, Georgios Kambourakis:
TLEF: Two-Layer Evolutionary Framework for t-Closeness Anonymization. 235-244 - Wenxuan Huang, Thanassis Tiropanis, George Konstantinidis:
A Dual-Layer Privacy-Preserving Federated Learning Framework. 245-259 - Bing Sun, Jian-Yu Li, Xiao-Fang Liu, Qiang Yang, Zhi-Hui Zhan, Jun Zhang:
A Privacy-Preserving Evolutionary Computation Framework for Feature Selection. 260-274 - Qian Zhou, Zhongxu Han, Jiayang Wu:
Local Difference-Based Federated Learning Against Preference Profiling Attacks. 275-288 - Jiao Yin, Guihong Chen, Wei Hong, Hua Wang, Jinli Cao, Yuan Miao:
Empowering Vulnerability Prioritization: A Heterogeneous Graph-Driven Framework for Exploitability Prediction. 289-299 - Raed Abdallah, Hassan Harb, Yehia Taher, Salima Benbernou, Rafiqul Haque:
ICAD: An Intelligent Framework for Real-Time Criminal Analytics and Detection. 300-315
Web Technologies
- Minh-Hieu Huynh, Quoc-Tri Le, Vu Nguyen, Tien Nguyen:
Web Page Segmentation: A DOM-Structural Cohesion Analysis Approach. 319-333 - Munazza Zaib, Wei Emma Zhang, Quan Z. Sheng, Subhash Sagar, Adnan Mahmood, Yang Zhang:
Learning to Select the Relevant History Turns in Conversational Question Answering. 334-348 - Devis Bianchini, Massimiliano Garda:
A Methodological Approach for Data-Intensive Web Application Design on Top of Data Lakes. 349-359 - Mohamed Ragab, Yury Savateev, Reza Moosaei, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, George Roussos:
ESPRESSO: A Framework for Empowering Search on Decentralized Web. 360-375 - Adrian Sterca, Virginia Niculescu, Camelia Chisalita-Cretu, Cristina-Claudia Osman:
Primary Building Blocks for Web Automation. 376-386 - Elvismary Molina de Armas, Geiza Maria Hamazaki da Silva, Júlio Gonçalves Campos, Vitor Pinheiro de Almeida, Hugo Fernandes Neves, Eduardo Thadeu Leite Corseuil, Fernando Rodrigues Gonzalez:
A Web Service Oriented Integration Solution for Capital Facilities Information Handover. 387-396 - Christson Awanyo, Nawal Guermouche:
Deep Neural Network-Based Approach for IoT Service QoS Prediction. 397-406
Graph Embeddings and Link Predictions
- Liu Yang, Jie Zhao, Jun Long, Jincai Huang, Zidong Wang, Tingxuan Chen:
Path-KGE: Preference-Aware Knowledge Graph Embedding with Path Semantics for Link Prediction. 409-424 - Weisheng Li, Feiyi Tang, Chao Chang, Hao Zhong, Ronghua Lin, Yong Tang:
Efficient Graph Embedding Method for Link Prediction via Incorporating Graph Structure and Node Attributes. 425-438 - Xiaoying Yang, Lijie Li, Gang Xu, Ming Song, Feng Zhang:
Link Prediction for Opportunistic Networks Based on Hybrid Similarity Metrics and E-LSTM-D Models. 439-450 - Guangtong Zhou, Selasi Kwashie, Yidi Zhang, Michael Bewong, Vincent Mwintieru Nofong, Junwei Hu, Debo Cheng, Keqing He, Shanmei Liu, Zaiwen Feng:
FastAGEDs: Fast Approximate Graph Entity Dependency Discovery. 451-465 - Jiale Xu, Ouxia Du, Siyu Liu, Ya Li:
Topological Network Field Preservation for Heterogeneous Graph Embedding. 466-480
Predictive Analysis and Machine Learning
- Athanasios Georgoutsos, Paraskevas Kerasiotis, Verena Kantere:
Federated Learning Performance on Early ICU Mortality Prediction with Extreme Data Distributions. 483-495 - Yuan Feng, Qing Yu:
TSEGformer: Time-Space Dimension Dependency Transformer for Use in Multivariate Time Series Prediction. 496-508 - Jacob Dylan Pratley, Mohammad Masbaul Alam Polash:
Fraudulent Jobs Prediction Using Natural Language Processing and Deep Learning Sequential Models. 509-519 - Israa Alqatow, Amjad Rattrout, Rashid Jayousi:
Prediction of Student Performance with Machine Learning Algorithms Based on Ensemble Learning Methods. 520-529
Recommendation Systems
- Ming He, Boyang An, Jiwen Wang, Hao Wen:
Counterfactual Explanations for Sequential Recommendation with Temporal Dependencies. 533-543 - Xuanji Xiao, Huaqiang Dai, Qian Dong, Shuzi Niu, Yuzhen Liu, Pei Liu:
Incorporating Social-Aware User Preference for Video Recommendation. 544-558 - Kun He, Shunmei Meng, Qianmu Li, Xiao Liu, Amin Beheshti, Xiaoxiao Chi, Xuyun Zhang:
Noise-Augmented Contrastive Learning for Sequential Recommendation. 559-568 - Vadin James Sudarsan, Mohammad Masbaul Alam Polash:
Self-attention Convolutional Neural Network for Sequential Recommendation. 569-578 - Ronghua Lin, Luyao Teng, Feiyi Tang, Hao Zhong, Chengzhe Yuan, Chengjie Mao:
Informative Anchor-Enhanced Heterogeneous Global Graph Neural Networks for Personalized Session-Based Recommendation. 579-593 - Mozhgan Karimi, Boris Cule, Bart Goethals:
Leveraging Sequential Episode Mining for Session-Based News Recommendation. 594-608 - Chen Ji, Jilu Wang, Jie Xu, Wenxiao Liu, Zihong Yang, Feiran Huang, Chaozhuo Li:
Improving Conversational Recommender Systems via Knowledge-Enhanced Temporal Embedding. 609-618
Natural Language Processing (NLP) and Databases
- Ting Huang, Xike Xie, Xiufeng Liu:
Multi-level Correlation Matching for Legal Text Similarity Modeling with Multiple Examples. 621-632 - Ahmed Shoeb Talukder, Richi Nayak, Md. Abul Bashar:
GAN-IE: Generative Adversarial Network for Information Extraction with Limited Annotated Data. 633-642 - Yuankai Fan, Tonghui Ren, Dianjun Guo, Zhigang Zhao, Zhenying He, X. Sean Wang, Yu Wang, Tao Sui:
An Integrated Interactive Framework for Natural Language to SQL Translation. 643-658 - Yuquan Yang, Qifan Zhang, Junjie Yao:
Task-Driven Neural Natural Language Interface to Database. 659-673 - Senthil Ganesan Yuvaraj, Boualem Benatallah, Hamid Reza Motahari-Nezhad, Fethi Rabhi:
Identification and Generation of Actions Using Pre-trained Language Models. 674-683 - Qinzhen Cao, Rui Xi, Jie Wu, Xiaowen Nie, Yubo Liu, Mengshu Hou:
GADESQL: Graph Attention Diffusion Enhanced Text-To-SQL with Single and Multi-hop Relations. 684-698 - Harika Abburi, Michael Suesserman, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya:
An Ensemble-Based Approach for Generative Language Model Attribution. 699-709 - Bin Wang, Fuyong Xu, Zhenfang Zhu, Peiyu Liu:
Knowledge-Grounded Dialogue Generation with Contrastive Knowledge Selection. 710-719
Data Analysis and Optimization
- Tingting Xu, Yinghao Zhang, Jiuyong Li, Lin Liu, Ziqi Xu, Debo Cheng, Zaiwen Feng:
A Data-Driven Approach to Finding K for K Nearest Neighbor Matching in Average Causal Effect Estimation. 723-732 - Liang Zhu, Shilan Zhang, Xin Song, Qin Ma, Weiyi Meng:
Processing Reverse Nearest Neighbor Queries Based on Unbalanced Multiway Region Tree Index. 733-747 - Shaohua Teng, Yanhang Chen, Luyao Teng, Zefeng Zheng, Wei Zhang:
Solving Injection Molding Production Cost Problem Based on Combined Group Role Assignment with Costs. 748-762 - Xun Yao, Qihang Yang, Xinrong Hu, Jie Yang, Yi Guo:
CREAM: Named Entity Recognition with Concise query and REgion-Aware Minimization. 763-777
Anomaly and Threat Detection
- Sibo Qi, Juan Chen, Peng Chen, Jie Li, Wenyu Shan, Peian Wen:
An Effective Dynamic Cost-Sensitive Weighting Based Anomaly Multi-classification Model for Imbalanced Multivariate Time Series. 781-790 - Shipeng Zhang, Jing Liu:
Multivariate Time Series Anomaly Detection Based on Graph Neural Network for Big Data Scheduling System. 791-800 - Kun Wang, Ang Li, Xiaokun Wang, Lili Sun:
Study on Credit Risk Control by Variational Inference. 801-809
Streaming Data
- Zhaohui Zhang, Yifei Tang, Peng Zhang, Pei Zhang, Dongxue Zhang, Pengwei Wang:
An Adaptive Drilling Sampling Method and Evaluation Model for Large-Scale Streaming Data. 813-825 - Chengyang Ye, Qiang Ma:
Unsupervised Representation Learning with Semantic of Streaming Time Series. 826-835
Miscellaneous
- Kao Wan, Zhaoxi Wu, Qian Cao, Xiaotao Zheng, Ziwei Li, Tong Li:
Capo: Calibrating Device-to-Device Positioning with a Collaborative Network. 839-849 - Venkata Bharath Bandi, Xiaohui Tao, Thanveer Shaik, Jianming Yong, Ji Zhang:
The Impact on Employability by COVID-19 Pandemic - AI Case Studies. 850-864 - Abdelhadi Belfadel, Maxence Gagnant, Matthieu Dussartre, Jérôme Picault, Laure Crochepierre, Sana Tmar:
A Semi-automatic Framework Towards Building Electricity Grid Infrastructure Management Ontology: A Case Study and Retrospective. 865-874 - Wenting Li, Jiahong Xue, Xi Zhang, Huacan Chen, Zeyu Chen, Feijuan Huang, Yuanzhe Cai:
Word-Graph2vec: An Efficient Word Embedding Approach on Word Co-occurrence Graph Using Random Walk Technique. 875-885 - Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu:
Meta-learning for Estimating Multiple Treatment Effects with Imbalance. 886-895 - Lara Kallab, Elio Mansour, Richard Chbeir:
SML: Semantic Machine Learning Model Ontology. 896-911
Explainability and Scalability in AI
- Ambreen Hanif, Amin Beheshti, Boualem Benatallah, Xuyun Zhang, Habiba, EuJin Foo, Nasrin Shabani, Maryam Shahabikargar:
A Comprehensive Survey of Explainable Artificial Intelligence (XAI) Methods: Exploring Transparency and Interpretability. 915-925 - Kankan Zhao, Youfang Leng, Hui Zhang, Xiyu Gao:
Scaling Machine Learning with an Efficient Hybrid Distributed Framework. 926-936 - Shaohua Teng, Wenjie Liu, Ruixi Guo, Wei Zhang, Zefeng Zheng, Luyao Teng, Tongbao Chen:
Domain Adaptation with Sample Relation Reinforcement. 937-952
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