PAKDD (6)

Publications

2024

Ziwei Hou, Bahadorreza Ofoghi, Nayyar Zaidi, John Yearwood
Aspect-Based Fake News Detection. PAKDD (6) (2024)
Kushani Perera, Shanika Karunasekera
Quantifying Opinion Rejection: A Method to Detect Social Media Echo Chambers. PAKDD (6) (2024)
Ehsan Hoseinzade, Ke Wang
Graph Neural Network Approach to Semantic Type Detection in Tables. PAKDD (6) (2024)
Aishwarya Maheswaran, Kaushal Kumar Maurya, Manish Gupta, Maunendra Sankar Desarkar
DQAC: Detoxifying Query Auto-completion with Adapters. PAKDD (6) (2024)
S. M. Rafiuddin, Mohammed Rakib, Sadia Kamal, Arunkumar Bagavathi
Exploiting Adaptive Contextual Masking for Aspect-Based Sentiment Analysis. PAKDD (6) (2024)
Lalithsai Posam, Shubhranshu Shekhar, Meng-Chieh Lee, Christos Faloutsos
DiffFind: Discovering Differential Equations from Time Series. PAKDD (6) (2024)
Kunpeng Xu, Lifei Chen, Jean-Marc Patenaude, Shengrui Wang
Kernel Representation Learning with Dynamic Regime Discovery for Time Series Forecasting. PAKDD (6) (2024)
Abdallah Aaraba, Shengrui Wang, Jean-Marc Patenaude
LS: A Forecasting Model with Robust and Reduced Redundancy Latent Series. PAKDD (6) (2024)
Niharika Sri Parasa, Chaitali Diwan, Srinath Srinivasa, Prasad Ram
An Automated Approach for Generating Conceptual Riddles. PAKDD (6) (2024)
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. PAKDD (6) (2024)
Wenjie Xi, Arnav Jain, Li Zhang, Jessica Lin
Efficient and Accurate Similarity-Aware Graph Neural Network for Semi-supervised Time Series Classification. PAKDD (6) (2024)
Kishor Kumar Bhaumik, Fahim Faisal Niloy, Saif Mahmud, Simon S. Woo
STLGRU: Spatio-Temporal Lightweight Graph GRU for Traffic Flow Prediction. PAKDD (6) (2024)
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. PAKDD (6) (2024)
Hongjie Chen, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Hoda Eldardiry
Evolving Super Graph Neural Networks for Large-Scale Time-Series Forecasting. PAKDD (6) (2024)
Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey
Unlearnable Examples for Time Series. PAKDD (6) (2024)
Jia Li, Zihan Hu, Zhenguo Yang, Lap-Kei Lee, Fu Lee Wang
A Weighted Cross-Modal Feature Aggregation Network for Rumor Detection. PAKDD (6) (2024)
Julia Meißner, Dominik Göddeke, Melanie Herschel
Knowledge-Infused Optimization for Parameter Selection in Numerical Simulations. PAKDD (6) (2024)
Béla H. Böhnke, Edouard Fouché, Klemens Böhm
DEAL: Data-Efficient Active Learning for Regression Under Drift. PAKDD (6) (2024)
Yaru Zhao, Yakun Huang, Bo Cheng
KiProL: A Knowledge-Injected Prompt Learning Framework for Language Generation. PAKDD (6) (2024)
Kiran Madhusudhanan, Shayan Jawed, Lars Schmidt-Thieme
Hyperparameter Tuning MLP's for Probabilistic Time Series Forecasting. PAKDD (6) (2024)
Pei-Cheng Li, Cheng-Te Li
TCGNN: Text-Clustering Graph Neural Networks for Fake News Detection on Social Media. PAKDD (6) (2024)
Liping Hou, Lemeng Pan, Yicheng Guo, Cheng Li, Lihao Zhang
Learning Disentangled Task-Related Representation for Time Series. PAKDD (6) (2024)
Avadhut Sardeshmukh, Sreedhar Reddy, Gautham B. P., Pushpak Bhattacharyya
Material Microstructure Design Using VAE-Regression with a Multimodal Prior. PAKDD (6) (2024)

volume 14650, 2024

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 PAKDD (6) 14650 (2024)