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19th ADMA 2023, Shenyang, China - Volume 1
- Xiaochun Yang, Heru Suhartanto, Guoren Wang, Bin Wang, Jing Jiang, Bing Li, Huaijie Zhu, Ningning Cui:
Advanced Data Mining and Applications - 19th International Conference, ADMA 2023, Shenyang, China, August 21-23, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14176, Springer 2023, ISBN 978-3-031-46660-1
Time Series
- Jiadong Chen, Hengyu Ye, Xiaofeng Gao, Fan Wu, Linghe Kong, Guihai Chen:
An Adaptive Data-Driven Imputation Model for Incomplete Event Series. 3-18 - Chao Yang
, Xianzhi Wang, Lina Yao, Guodong Long, Guandong Xu:
From Time Series to Multi-modality: Classifying Multivariate Time Series via Both 1D and 2D Representations. 19-33 - Chao Yang
Exploring the Effectiveness of Positional Embedding on Transformer-Based Architectures for Multivariate Time Series Classification. 34-47 - Jianfei Zhang, Lifei Chen, Shengrui Wang:
Modeling of Repeated Measures for Time-to-event Prediction. 48-63 - Zehua Liu, Xuefeng Ding, Yuming Jiang, Dasha Hu:
A Method for Identifying the Timeliness of Manufacturing Data Based on Weighted Timeliness Graph. 64-72 - Keyu Chen, Guoping Zhao, Zhenfeng Yao, Zhihong Zhang:
STAD: Multivariate Time Series Anomaly Detection Based on Spatio-Temporal Relationship. 73-87
Recommendation I
- Wei He, Guohao Sun, Jinhu Lu
Refined Node Type Graph Convolutional Network for Recommendation. 91-106 - Ge Zhao, Shuaishuai Zu, Li Li, Zhisheng Yang:
Multi-level Noise Filtering and Preference Propagation Enhanced Knowledge Graph Recommendation. 107-122 - Xinyue Zhang, Hui Gao:
Enhancing Knowledge-Aware Recommendation with Contrastive Learning. 123-137 - Yuping Yang
Knowledge-Rich Influence Propagation Recommendation Algorithm Based on Graph Attention Networks. 138-154 - Jiamei Feng
A Novel Variational Autoencoder with Multi-position Latent Self-attention and Actor-Critic for Recommendation. 155-167 - Fangyu Han, Shumei Wang, Jiayu Zhao, Renhui Wu, Xiaobin Rui, Zhixiao Wang:
Fair Re-Ranking Recommendation Based on Debiased Multi-graph Representations. 168-182
Information Extraction
- Yuming Zhang, Xiangxiang Gao, Wei Zhu, Xiaoling Wang:
FastNER: Speeding up Inferences for Named Entity Recognition Tasks. 185-199 - Xiayan Ji, Lina Chen, Fangyao Shen, Hongjie Guo, Hong Gao:
CPMFA: A Character Pair-Based Method for Chinese Nested Named Entity Recognition. 200-212 - Chao Yang, Jiajie Xing, Xianguo Zhang:
STMC-GCN: A Span Tagging Multi-channel Graph Convolutional Network for Aspect Sentiment Triplet Extraction. 213-227 - Chenchen Sun, Yuyuan Jin, Yang Xu, Derong Shen, Tiezheng Nie, Xite Wang:
Exploring the Design Space of Unsupervised Blocking with Pre-trained Language Models in Entity Resolution. 228-244 - Yuhua Ke, Shaojie Xue, Ziqi Chen, Rui Meng:
Joint Modeling of Local and Global Semantics for Contrastive Entity Disambiguation. 245-259 - Liting Huang, Yongyue Yang, Xingli Tang, Hui Zhou, Chunyang Ye:
KFEA: Fine-Grained Review Analysis Using BERT with Attention: A Categorical and Rating-Based Approach. 260-274
Emotional Analysis
- Qiutong Guo, Jianxing Yu, Yufeng Zhang, Haowei Jiang, Wei Liu, Jian Yin:
Discovery of Emotion Implicit Causes in Products Based on Commonsense Reasoning. 277-292 - Guangya Liu, Xiao Dong, Mengxiang Wang, Jianxing Yu, Mengjiao Gan, Wei Liu, Jian Yin:
Multi-modal Multi-emotion Emotional Support Conversation. 293-308 - Yinyi Wei, Shuaipeng Liu, Hailei Yan, Wei Ye, Tong Mo, Guanglu Wan:
Exploiting Pseudo Future Contexts for Emotion Recognition in Conversations. 309-323 - Mengjiao Gan, Jianxing Yu, Xiao Dong, Shuang Qiu, Wei Liu, Jian Yin:
Generating Enlightened Suggestions Based on Mental State Evolution for Emotional Support Conversation. 324-338 - Saugata Bose
Deep One-Class Fine-Tuning for Imbalanced Short Text Classification in Transfer Learning. 339-351 - Yuchen Zhang
EmoKnow: Emotion- and Knowledge-Oriented Model for COVID-19 Fake News Detection. 352-367 - Julian Stefanzick, Xin Zhao:
Popular Songs: The Sentiment Surrounding the Conversation. 368-382 - Jiahao Li, Yuyun Gong, Qinghua Zhao, Yufan Xie, Simon Fong, Jerome Yen:
Market Sentiment Analysis Based on Social Media and Trading Volume for Asset Price Movement Prediction. 383-398
Data Mining
- Vanha Tran
Efficient Mining of High Utility Co-location Patterns Based on a Query Strategy. 401-416 - Anan Du
Point-Level Label-Free Segmentation Framework for 3D Point Cloud Semantic Mining. 417-430 - Huaxu Han, Shuliang Wang, Hanning Yuan, Sijie Ruan:
CD-BNN: Causal Discovery with Bayesian Neural Network. 431-446 - Adeem Ali Anwar
A Preference-Based Indicator Selection Hyper-Heuristic for Optimization Problems. 447-462 - Si Lei, Dawei Sun, Atul Sajjanhar:
An Elastic Scalable Grouping for Stateful Operators in Stream Computing Systems. 463-478 - Weiwen Wu, Hui Zhang, Chunming Yang, Bo Li, Xujian Zhao:
Incremental Natural Gradient Boosting for Probabilistic Regression. 479-493 - Guisheng Chen, Zhanshan Li:
Discovering Skyline Periodic Itemset Patterns in Transaction Sequences. 494-508 - Ming Wan, Xueqing Liu, Yang Li:
Double-Optimized CS-BP Anomaly Prediction for Control Operation Data. 509-523 - Mingrong Xiang, Wei Luo
Bridging the Interpretability Gap in Coupled Neural Dynamical Models. 524-534 - Jessy Colonval
Multidimensional Adaptative kNN over Tracking Outliers (Makoto). 535-550
Traffic
- Yaru Ren
MANet: An End-To-End Multiple Attention Network for Extracting Roads Around EHV Transmission Lines from High-Resolution Remote Sensing Images. 553-568 - Changlin Zhao, Ying Zhao, Jiajia Li
Deep Reinforcement Learning for Solving the Trip Planning Query. 569-583 - Yan Ke, Wanghao Mo, Zhe Li, Ruyi Cao, Wendong Zhang:
MDCN: Multi-scale Dilated Convolutional Enhanced Residual Network for Traffic Sign Detection. 584-597 - Jing Zhao, Peng Cheng, Qixiang Ge, Xun Zhu, Lei Chen, Xi Guo, Jinshan Sun, Yangfang Yang:
Identifying Critical Congested Roads Based on Traffic Flow-Aware Road Network Embedding. 598-613 - Rui Zhu, Xuexin Zhang, Xin Wang, Jiajia Li, Anzhen Zhang, Chuanyu Zong:
A Cross-Region-based Framework for Supporting Car-Sharing. 614-629 - Haiyang Liu, Chunjiang Zhu, Detian Zhang, Qing Li:
Attention-Based Spatial-Temporal Graph Convolutional Recurrent Networks for Traffic Forecasting. 630-645 - Hao Lin, Junjie Yao:
Transformer Based Driving Behavior Safety Prediction for New Energy Vehicles. 646-660 - Ruikun Li, Xuliang Li, Shiying Gao, S. T. Boris Choy, Junbin Gao:
Graph Convolution Recurrent Denoising Diffusion Model for Multivariate Probabilistic Temporal Forecasting. 661-676 - Marco Landt-Hayen
A Bottom-Up Sampling Strategy for Reconstructing Geospatial Data from Ultra Sparse Inputs. 677-691
Recommendation II
- Haibo Liu, Yafang Guo, Liang Wang, Xin Song:
Feature Representation Enhancing by Context Sensitive Information in CTR Prediction. 695-708 - Haijun Zhao, Ronghai Xu, Chang-Dong Wang, Ying Jiang:
ProtoMix: Learnable Data Augmentation on Few-Shot Features with Vector Quantization in CTR Prediction. 709-723 - Jianyu Ren, Ruoqian Zhang:
When Alignment Makes a Difference: A Content-Based Variational Model for Cold-Start CTR Prediction. 724-739 - Zihan Wang, Gang Wu, Haotong Wang:
Dual-Granularity Contrastive Learning for Session-Based Recommendation. 740-754 - Keke Li
Efficient Graph Collaborative Filtering with Multi-layer Output-Enhanced Contrastive Learning. 755-771 - Atharva Tekawade, Suman Banerjee:
Influence Maximization with Tag Revisited: Exploiting the Bi-submodularity of the Tag-Based Influence Function. 772-786 - Zhengyi Guo, Yanmin Zhu, Zhaobo Wang, Mengyuan Jing:
Multi-Interest Aware Graph Convolution Network for Social Recommendation. 787-801 - Yanlong Zhang, Shangfei Zheng, Qian Zhou, Wei Chen, Lei Zhao:
Enhancing Multimedia Recommendation Through Item-Item Semantic Denoising and Global Preference Awareness. 802-817 - Kaiwen Wu, Yanhu Li, Xiaofeng He:
Resident-Based Store Recommendation Model for Community Commercial Planning. 818-830
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