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ORCID34th DEXA 2023: Penang, Malaysia - Part II
- Christine Strauss
, Toshiyuki Amagasa, Gabriele Kotsis, A Min Tjoa, Ismail Khalil:
Database and Expert Systems Applications - 34th International Conference, DEXA 2023, Penang, Malaysia, August 28-30, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14147, Springer 2023, ISBN 978-3-031-39820-9
Rule-Based Systems
- Soualihou Ngnamsie Njimbouom, Gelany Aly Abdelkader, Candra Zonyfar, Hyun Lee, Jeong-Dong Kim:
RD-Classifier: Reduced Dimensionality Classifier for Alzheimer's Diagnosis Support System. 3-17 - Ru Wang, Bingbing Dong, Tianyang Li, Meng Wu, Chenyang Bu, Xindong Wu:
User Interaction-Aware Knowledge Graphs for Recommender Systems. 18-32 - Mingman Xu, Qiong Chang, Jun Miyazaki:
How Does the System Perceive Me? - A Transparent and Tunable Recommender System. 33-48 - Sotaro Moritake, Hidekazu Kasahara, Qiang Ma:
MERIHARI-Area Tour Planning by Considering Regional Characteristics. 49-64 - Alaa Alhamzeh:
Financial Argument Quality Assessment in Earnings Conference Calls. 65-81 - Mohammad H. Motallebi, Md. Tanvir Alam Anik, Osmar R. Zaïane:
Explaining Decisions of Black-Box Models Using BARBE. 82-97 - Elyas Rashno, Farhana H. Zulkernine:
Efficient Video Captioning with Frame Similarity-Based Filtering. 98-112 - Qingfeng Du, Liang Zhao, Fulong Tian, Yongqi Han:
Trace-Based Anomaly Detection with Contextual Sequential Invocations. 113-118 - Jin-Cheng Zhang, Azlan Mohd Zain, Kai-Qing Zhou, Xi Chen, Renmin Zhang:
Fusing Fine-Grained Information of Sequential News for Personalized News Recommendation. 119-125 - Sven Löffler, Ilja Becker, Petra Hofstedt:
A Finite-Domain Constraint-Based Approach on the Stockyard Planning Problem. 126-133 - Sabbir Ahmed, Sameera Mubarak, Santoso Wibowo, Jia Tina Du:
Data Analytics Framework for Smart Waste Management Optimisation: A Key to Sustainable Future for Councils and Communities. 134-139
Natural Language Processing
- Jiangjiang Zhao, Jiyi Li, Fumiyo Fukumoto:
Hierarchy-Aware Bilateral-Branch Network for Imbalanced Hierarchical Text Classification. 143-157 - Wenlong Xi, Xiaoxi Huang, Fumiyo Fukumoto, Yoshimi Suzuki:
Multi-Feature and Multi-Channel GCNs for Aspect Based Sentiment Analysis. 158-172 - Romany Dekker, Danae Gielisse, Chaya Jaggan, Sander Meijers, Flavius Frasincar:
Knowledge Injection for Aspect-Based Sentiment Classification. 173-187 - Takahiro Komamizu:
Towards Ensemble-Based Imbalanced Text Classification Using Metric Learning. 188-202 - M. Saef Ullah Miah, Junaida Sulaiman, Talha Bin Sarwar, Imam Ul Ferdous, Saima Sharleen Islam, Md. Samiul Haque:
Target and Precursor Named Entities Recognition from Scientific Texts of High-Temperature Steel Using Deep Neural Network. 203-208 - Md. Rakibul Islam, Anne V. D. M. Kayem, Christoph Meinel:
Enabling PII Discovery in Textual Data via Outlier Detection. 209-216
Deep Learning
- Ting Jiang, Ting Yu, Xueting Qiao, Ji Zhang:
An Efficient Embedding Framework for Uncertain Attribute Graph. 219-229 - Jiasheng Ma, Xiaoye Wang, Yingyuan Xiao:
Double-Layer Attention for Long Sequence Time-Series Forecasting. 230-244 - Wojciech Macyna, Michal Kukowski, Michal Zwarzko:
Multi-core Adaptive Merging of the Secondary Index for LSM-Based Stores. 245-257 - Jun Kawagoshi, Yuyang Dong, Takuma Nozawa, Chuan Xiao:
CAGAIN: Column Attention Generative Adversarial Imputation Networks. 258-273 - Weixin Kong, Xiaoye Wang, Yingyuan Xiao:
CF-SAFF: Collaborative Filtering Based on Self-attention Mechanism and Feature Fusion. 274-288 - Yeji Song, Jihwan Shin, Jinhyun Ahn, Taewhi Lee, Dong-Hyuk Im:
Except-Condition Generative Adversarial Network for Generating Trajectory Data. 289-294 - Sayda Elmi, Kian-Lee Tan:
Next POIs Prediction for Group Recommendations: Influence-Based Deep Learning Model. 295-309 - YunQi Bang, Mohammed Khaleel, Wallapak Tavanapong:
Interpreting Deep Text Quantification Models. 310-324 - Jingxue Zhang, Ning Wu, Changchun Yang:
NExtGCN: Modeling Node Importance of Graph Convolution Network by Neighbor Excitation for Recommendation. 325-330 - Kong Yuntao, Peng Chen, Nguyen Minh Le, Qiang Ma:
Dual Congestion-Aware Route Planning for Tourists by Multi-agent Reinforcement Learning. 331-336 - Rahmah Brnawy, Nematollaah Shiri:
Subspace Clustering Technique Using Multi-objective Functions for Multi-class Categorical Data. 337-343
Neural Networks
- Jiahui Wang, Meng Li, Fangshu Chen, Xiankai Meng, Chengcheng Yu:
Multi-task Graph Neural Network for Optimizing the Structure Fairness. 347-362 - Zeyu Wang, Mizuho Iwaihara:
Few-Shot Multi-label Aspect Category Detection Utilizing Prototypical Network with Sentence-Level Weighting and Label Augmentation. 363-377 - Jianfei Zhang, Lifei Chen, Shengrui Wang:
Toward Healthy Aging: Temporal Regression for Disability Prediction and Warning Decision-Making. 378-392 - Dan Li, Yunqian Li, Jun Li, Jianhua Xu:
A Label Embedding Method via Conditional Covariance Maximization for Multi-label Classification. 393-407 - Ayush K. Varshney, Vicenç Torra:
Integrally Private Model Selection for Deep Neural Networks. 408-422 - Jan David Hüwel, Christian Beecks:
Gaussian Process Component Mining with the Apriori Algorithm. 423-429 - XianKun Zhang, Wenjie Huang:
Learnable Filter Components for Social Recommendation. 430-437 - Gelany Aly Abdelkader, Soualihou Ngnamsie Njimbouom, Prince Delator Gidiglo, Tae-Jin Oh, Jeong-Dong Kim:
Efficient Machine Learning-Based Prediction of CYP450 Inhibition. 438-444 - Debashish Roy, Chen Ding, Alfredo Cuzzocrea, Islam Belmerabet:
A Machine-Learning Framework for Supporting Content Recommendation via User Feedback Data and Content Profiles in Content Managements Systems. 445-450 - Xingli Tang, Keqi Li, Liting Huang, Hui Zhou, Chunyang Ye:
Fine-Tuning Pre-Trained Model for Consumer Fraud Detection from Consumer Reviews. 451-456 - Zhongxing Zhang, Qingbo Hao, Yingyuan Xiao, Wenguang Zheng:
Deep Multi-interaction Hidden Interest Evolution Network for Click-Through Rate Prediction. 457-462 - Bin Yang, Xinyang Tong, Ying Xing, Qi Shen, Huiying Zhao, Zhipu Xie:
Temporal Semantic Attention Network for Aspect-Based Sentiment Analysis. 463-468 - Zi-Yu Khoo, Abel Yang, Jonathan Sze Choong Low, Stéphane Bressan:
Celestial Machine Learning - From Data to Mars and Beyond with AI Feynman. 469-474
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