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ORCID33rdDEXA 2022: Vienna, Austria - Part I
- Christine Strauss
, Alfredo Cuzzocrea, Gabriele Kotsis, A Min Tjoa, Ismail Khalil:
Database and Expert Systems Applications - 33rd International Conference, DEXA 2022, Vienna, Austria, August 22-24, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13426, Springer 2022, ISBN 978-3-031-12422-8
Knowledge Graphs
- Yun Liu, Jun Miyazaki, Qiong Chang:
Jointly Learning Propagating Features on the Knowledge Graph for Movie Recommendation. 3-16 - Fangyi Zhu, Lok You Tan, See-Kiong Ng, Stéphane Bressan:
Syntax-Informed Question Answering with Heterogeneous Graph Transformer. 17-31 - Stefan Bachhofner, Elmar Kiesling, Kate Revoredo, Philipp Waibel, Axel Polleres:
Automated Process Knowledge Graph Construction from BPMN Models. 32-47 - Jiadong Chen, Hua Ke, Haijian Mo, Xiaofeng Gao, Guihai Chen:
CAKE: A Context-Aware Knowledge Embedding Model of Knowledge Graph. 48-62 - Jennifer D'Souza, Anita Monteverdi, Muhammad Haris, Marco Anteghini, Kheir Eddine Farfar, Markus Stocker, Vítor A. P. Martins dos Santos, Sören Auer:
The Digitalization of Bioassays in the Open Research Knowledge Graph. 63-68
Privacy-Preservation Approaches
- Kayode Sakariyah Adewole, Vicenç Torra:
Privacy Issues in Smart Grid Data: From Energy Disaggregation to Disclosure Risk. 71-84 - Nikolai J. Podlesny, Anne V. D. M. Kayem, Christoph Meinel:
CoK: A Survey of Privacy Challenges in Relation to Data Meshes. 85-102 - Paulo Pintor, Rogério Luís de Carvalho Costa, José Manuel Moreira:
Why- and How-Provenance in Distributed Environments. 103-115 - Yael Amsterdamer, Yehuda Callen:
Provenance-Based SPARQL Query Formulation. 116-129 - Guillermo Alamán Requena, Rudolf Mayer, Andreas Ekelhart:
Anonymisation of Heterogeneous Graphs with Multiple Edge Types. 130-135
Deep Learning
- Zahra Sadri, Le Gruenwald:
A Divergent Index Advisor Using Deep Reinforcement Learning. 139-152 - Zhiyao Li, Xiaofeng Gao, Guihai Chen:
Deep Active Learning Framework for Crowdsourcing-Enhanced Image Classification and Segmentation. 153-166 - Abhishek Nan, Anandh Perumal, Osmar R. Zaïane:
Sentiment and Knowledge Based Algorithmic Trading with Deep Reinforcement Learning. 167-180 - Chengcheng Guo, Bo Zhao, Yanbing Bai:
DeepCore: A Comprehensive Library for Coreset Selection in Deep Learning. 181-195 - Wenting Yu, Xiaoye Wang, Peng Yang, Yingyuan Xiao, Jinsong Wang:
Context Iterative Learning for Aspect-Level Sentiment Classification. 196-202
Smart Cities and Human Computing
- Chahinez Ounoughi, Ghofrane Touibi, Sadok Ben Yahia:
EcoLight: Eco-friendly Traffic Signal Control Driven by Urban Noise Prediction. 205-219 - Mingjie Li, Minghua Ma, Xiaohui Nie, Kanglin Yin, Li Cao, Xidao Wen, Zhiyun Yuan, Duogang Wu, Guoying Li, Wei Liu, Xin Yang, Dan Pei:
Mining Fluctuation Propagation Graph Among Time Series with Active Learning. 220-233 - Iris Kico, Jan Sedmidubský, Pavel Zezula:
Towards Efficient Human Action Retrieval Based on Triplet-Loss Metric Learning. 234-247 - Shuodian Yu, Jianxiong Guo, Xiaofeng Gao, Guihai Chen:
KAPP: Knowledge-Aware Hierarchical Attention Network for Popularity Prediction. 248-255
Advanced Machine Learning
- Li Huang, Yan Zhu:
A Heterogeneous Network Representation Learning Approach for Academic Behavior Prediction. 259-272 - Raghav Mittal, Anirban Mondal, P. Krishna Reddy:
A Market Segmentation Aware Retail Itemset Placement Framework. 273-286 - Tao Peng, Jun Li, Jianhua Xu:
Label Selection Algorithm Based on Iteration Column Subset Selection for Multi-label Classification. 287-301 - Eva-Maria Spitzer, Oliver Krauss, Andreas Stöckl:
Accurately Predicting User Registration in Highly Unbalanced Real-World Datasets from Online News Portals. 302-315 - Jing An, Yecheng Tang, Yanbing Bai, Jiyi Li:
Word Alignment Based Transformer Model for XML Structured Documentation Translation. 316-322 - Rahul Sharma, Huseyn Garayev, Minakshi Kaushik, Sijo Arakkal Peious, Prayag Tiwari, Dirk Draheim:
Detecting Simpson's Paradox: A Machine Learning Perspective. 323-335 - Beiji Zou, Meng Zeng, Chengzhang Zhu, Ling Xiao, Zhi Chen:
A Learned Prefix Bloom Filter for Spatial Data. 336-350 - Alvar Esperanca, Xiao Luo:
ReferEmo: A Referential Quasi-multimodal Model for Multilabel Emotion Classification. 351-366 - Clara Pizzuti, Annalisa Socievole:
Community Detection in Attributed Networks via Kernel-Based Effective Resistance and Attribute Similarity. 367-372 - Zaishuo Xia, Zelin Li, Yanbing Bai, Jinze Yu, Bruno Adriano:
Self-supervised Learning for Building Damage Assessment from Large-Scale xBD Satellite Imagery Benchmark Datasets. 373-386
Warehousing Methodologies
- Konstantinos Oikonomou, Georgia Garani, Sandro Bimonte, Robert Wrembel:
What Logical Model Is Suitable for Relational Trajectory Data Warehouses? - Application to Agricultural Autonomous Robots. 389-403 - Vijdan Khalique, Hiroyuki Kitagawa:
BPF: An Effective Cluster Boundary Points Detection Technique. 404-416 - Aruna Bansal:
Hypergraphs as Conflict-Free Partially Replicated Data Types. 417-432 - Vanessa Lago Machado, Ronaldo dos Santos Mello, Vania Bogorny:
A Method for Summarizing Trajectories with Multiple Aspects. 433-446 - Witold Andrzejewski, Jedrzej Potoniec, Maciej Drozdowski, Jerzy Stefanowski, Robert Wrembel, Pawel Stapf:
Quality Versus Speed in Energy Demand Prediction - Experience Report from an R &D project. 447-452
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