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ORCID28th PAKDD 2024: Taipei, Taiwan - Part VI
- De-Nian Yang
, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin:
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 14650, Springer 2024, ISBN 978-981-97-2265-5
Scientific Data
- Abdallah Aaraba, Shengrui Wang, Jean-Marc Patenaude:
FR3LS: A Forecasting Model with Robust and Reduced Redundancy Latent Series. 3-15 - Julia Meißner, Dominik Göddeke, Melanie Herschel:
Knowledge-Infused Optimization for Parameter Selection in Numerical Simulations. 16-28 - Avadhut Sardeshmukh, Sreedhar Reddy, Gautham B. P., Pushpak Bhattacharyya:
Material Microstructure Design Using VAE-Regression with a Multimodal Prior. 29-41 - Jia Li, Zihan Hu, Zhenguo Yang, Lap-Kei Lee, Fu Lee Wang:
A Weighted Cross-Modal Feature Aggregation Network for Rumor Detection. 42-53
Texts, Web, Social Network
- Kushani Perera, Shanika Karunasekera:
Quantifying Opinion Rejection: A Method to Detect Social Media Echo Chambers. 57-69 - Yaru Zhao, Yakun Huang, Bo Cheng:
KiProL: A Knowledge-Injected Prompt Learning Framework for Language Generation. 70-82 - Yi-Ting Li, Ying-Jia Lin, Chia-Jen Yeh, Chun-Yi Lin, Hung-Yu Kao:
GViG: Generative Visual Grounding Using Prompt-Based Language Modeling for Visual Question Answering. 83-94 - Ziwei Hou, Bahadorreza Ofoghi, Nayyar Zaidi, John Yearwood:
Aspect-Based Fake News Detection. 95-107 - Aishwarya Maheswaran, Kaushal Kumar Maurya, Manish Gupta, Maunendra Sankar Desarkar:
DQAC: Detoxifying Query Auto-completion with Adapters. 108-120 - Ehsan Hoseinzade, Ke Wang:
Graph Neural Network Approach to Semantic Type Detection in Tables. 121-133 - Pei-Cheng Li, Cheng-Te Li:
TCGNN: Text-Clustering Graph Neural Networks for Fake News Detection on Social Media. 134-146 - S. M. Rafiuddin, Mohammed Rakib, Sadia Kamal, Arunkumar Bagavathi:
Exploiting Adaptive Contextual Masking for Aspect-Based Sentiment Analysis. 147-159 - Niharika Sri Parasa, Chaitali Diwan, Srinath Srinivasa, Prasad Ram:
An Automated Approach for Generating Conceptual Riddles. 160-172
Time-Series and Streaming Data
- Lalithsai Posam, Shubhranshu Shekhar, Meng-Chieh Lee, Christos Faloutsos:
DiffFind: Discovering Differential Equations from Time Series. 175-187 - Béla H. Böhnke, Edouard Fouché, Klemens Böhm:
DEAL: Data-Efficient Active Learning for Regression Under Drift. 188-200 - Hongjie Chen, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Hoda Eldardiry:
Evolving Super Graph Neural Networks for Large-Scale Time-Series Forecasting. 201-212 - Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey:
Unlearnable Examples for Time Series. 213-225 - Liping Hou, Lemeng Pan, Yicheng Guo, Cheng Li, Lihao Zhang:
Learning Disentangled Task-Related Representation for Time Series. 226-238 - Zihan Li, Wei Ding, Inal Mashukov, Scott E. Crouter, Ping Chen:
A Multi-view Feature Construction and Multi-Encoder-Decoder Transformer Architecture for Time Series Classification. 239-250 - Kunpeng Xu, Lifei Chen, Jean-Marc Patenaude, Shengrui Wang:
Kernel Representation Learning with Dynamic Regime Discovery for Time Series Forecasting. 251-263 - Kiran Madhusudhanan, Shayan Jawed, Lars Schmidt-Thieme:
Hyperparameter Tuning MLP's for Probabilistic Time Series Forecasting. 264-275 - Wenjie Xi, Arnav Jain, Li Zhang, Jessica Lin:
Efficient and Accurate Similarity-Aware Graph Neural Network for Semi-supervised Time Series Classification. 276-287 - Kishor Kumar Bhaumik, Fahim Faisal Niloy, Saif Mahmud, Simon S. Woo:
STLGRU: Spatio-Temporal Lightweight Graph GRU for Traffic Flow Prediction. 288-299
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