EF-Net: A Deep Learning Approach Combining Word Embeddings and Feature Fusion for Patient Disposition Analysisby…
Deciphering the Underserved: Benchmarking LLM OCR for Low-Resource Scriptsby Muhammad Abdullah Sohail, Salaar Masood, Hamza…
FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networksby Siddharth Ambekar, Yuhang Yao, Ryan…
Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneckby Van Thuy Hoang,…
Machine Learning Techniques for Pattern Recognition in High-Dimensional Data Miningby Pochun LiFirst submitted to arxiv…
Long-Term EEG Partitioning for Seizure Onset Detectionby Zheng Chen, Yasuko Matsubara, Yasushi Sakurai, Jimeng SunFirst…
Beyond Human Data: Aligning Multimodal Large Language Models by Iterative Self-Evolutionby Wentao Tan, Qiong Cao,…
Theory of Mixture-of-Experts for Mobile Edge Computingby Hongbo Li, Lingjie DuanFirst submitted to arxiv on:…
Hypergraph clustering using Ricci curvature: an edge transport perspectiveby Olympio HacquardFirst submitted to arxiv on:…
Synthetic Tabular Data Generation for Imbalanced Classification: The Surprising Effectiveness of an Overlap Classby Annie…