SynHING: Synthetic Heterogeneous Information Network Generation for Graph Learning and Explanationby Ming-Yi Hong, Yi-Hsiang Huang,…
Global-Aware Enhanced Spatial-Temporal Graph Recurrent Networks: A New Framework For Traffic Flow Predictionby Haiyang Liu,…
CCNETS: A Novel Brain-Inspired Approach for Enhanced Pattern Recognition in Imbalanced Datasetsby Hanbeot Park, Yunjeong…
Overview of the 2023 ICON Shared Task on Gendered Abuse Detection in Indic Languagesby Aatman…
A Large-Scale Empirical Study on Improving the Fairness of Image Classification Modelsby Junjie Yang, Jiajun…
Universal Time-Series Representation Learning: A Surveyby Patara Trirat, Yooju Shin, Junhyeok Kang, Youngeun Nam, Jihye…
From Data to Insights: A Comprehensive Survey on Advanced Applications in Thyroid Cancer Researchby Xinyu…
Towards Efficient Communication and Secure Federated Recommendation System via Low-rank Trainingby Ngoc-Hieu Nguyen, Tuan-Anh Nguyen,…
Lessons Learned: Reproducibility, Replicability, and When to Stopby Milton S. Gomez, Tom BeuclerFirst submitted to…
Adaptive Experimental Design for Policy Learningby Masahiro Kato, Kyohei Okumura, Takuya Ishihara, Toru KitagawaFirst submitted…