Abstract is missing.
- 3LS: A Forecasting Model with Robust and Reduced Redundancy Latent SeriesAbdallah Aaraba, Shengrui Wang, Jean-Marc Patenaude. 3-15 [doi]
- Knowledge-Infused Optimization for Parameter Selection in Numerical SimulationsJulia Meißner, Dominik Göddeke, Melanie Herschel. 16-28 [doi]
- Material Microstructure Design Using VAE-Regression with a Multimodal PriorAvadhut Sardeshmukh, Sreedhar Reddy, Gautham B. P., Pushpak Bhattacharyya. 29-41 [doi]
- A Weighted Cross-Modal Feature Aggregation Network for Rumor DetectionJia Li, Zihan Hu, Zhenguo Yang, Lap-Kei Lee, Fu Lee Wang. 42-53 [doi]
- Quantifying Opinion Rejection: A Method to Detect Social Media Echo ChambersKushani Perera, Shanika Karunasekera. 57-69 [doi]
- KiProL: A Knowledge-Injected Prompt Learning Framework for Language GenerationYaru Zhao, Yakun Huang, Bo Cheng 0001. 70-82 [doi]
- GViG: Generative Visual Grounding Using Prompt-Based Language Modeling for Visual Question AnsweringYi-Ting Li, Ying-Jia Lin, Chia-Jen Yeh, Chun-Yi Lin, Hung-Yu Kao. 83-94 [doi]
- Aspect-Based Fake News DetectionZiwei Hou, Bahadorreza Ofoghi, Nayyar Zaidi, John Yearwood. 95-107 [doi]
- DQAC: Detoxifying Query Auto-completion with AdaptersAishwarya Maheswaran, Kaushal Kumar Maurya, Manish Gupta, Maunendra Sankar Desarkar. 108-120 [doi]
- Graph Neural Network Approach to Semantic Type Detection in TablesEhsan Hoseinzade, Ke Wang. 121-133 [doi]
- TCGNN: Text-Clustering Graph Neural Networks for Fake News Detection on Social MediaPei-Cheng Li, Cheng-Te Li. 134-146 [doi]
- Exploiting Adaptive Contextual Masking for Aspect-Based Sentiment AnalysisS. M. Rafiuddin, Mohammed Rakib, Sadia Kamal, Arunkumar Bagavathi. 147-159 [doi]
- An Automated Approach for Generating Conceptual RiddlesNiharika Sri Parasa, Chaitali Diwan, Srinath Srinivasa, Prasad Ram. 160-172 [doi]
- DiffFind: Discovering Differential Equations from Time SeriesLalithsai Posam, Shubhranshu Shekhar, Meng-Chieh Lee, Christos Faloutsos. 175-187 [doi]
- DEAL: Data-Efficient Active Learning for Regression Under DriftBéla H. Böhnke, Edouard Fouché, Klemens Böhm. 188-200 [doi]
- Evolving Super Graph Neural Networks for Large-Scale Time-Series ForecastingHongjie Chen, Ryan A. Rossi, SungChul Kim, Kanak Mahadik, Hoda Eldardiry. 201-212 [doi]
- Unlearnable Examples for Time SeriesYujing Jiang, Xingjun Ma, Sarah Monazam Erfani, James Bailey 0001. 213-225 [doi]
- Learning Disentangled Task-Related Representation for Time SeriesLiping Hou, Lemeng Pan, Yicheng Guo, Cheng Li, Lihao Zhang. 226-238 [doi]
- A Multi-view Feature Construction and Multi-Encoder-Decoder Transformer Architecture for Time Series ClassificationZihan Li, Wei Ding 0003, Inal Mashukov, Scott E. Crouter, Ping Chen 0001. 239-250 [doi]
- Kernel Representation Learning with Dynamic Regime Discovery for Time Series ForecastingKunpeng Xu 0002, Lifei Chen, Jean-Marc Patenaude, Shengrui Wang. 251-263 [doi]
- Hyperparameter Tuning MLP's for Probabilistic Time Series ForecastingKiran Madhusudhanan, Shayan Jawed, Lars Schmidt-Thieme. 264-275 [doi]
- Efficient and Accurate Similarity-Aware Graph Neural Network for Semi-supervised Time Series ClassificationWenjie Xi, Arnav Jain, Li Zhang 0074, Jessica Lin 0001. 276-287 [doi]
- STLGRU: Spatio-Temporal Lightweight Graph GRU for Traffic Flow PredictionKishor Kumar Bhaumik, Fahim Faisal Niloy, Saif Mahmud, Simon S. Woo. 288-299 [doi]