Large Language Models versus Classical Machine Learning: Performance in COVID-19 Mortality Prediction Using High-Dimensional Tabular…
The Role of Transformer Models in Advancing Blockchain Technology: A Systematic Surveyby Tianxu Liu, Yanbin…
Optimal L-Systems for Stochastic L-system Inference Problemsby Ali Lotfi, Ian McQuillanFirst submitted to arxiv on:…
Personalized Federated Learning via Active Samplingby Alexander Jung, Yasmin SarcheshmehPour, Amirhossein MohammadiFirst submitted to arxiv…
Synthetic Data Generation and Automated Multidimensional Data Labeling for AI/ML in General and Circular Coordinatesby…
The Application of Artificial Neural Network Model to Predicting the Acid Mine Drainage from Long-Term…
A sparse PAC-Bayesian approach for high-dimensional quantile predictionby Tien MaiFirst submitted to arxiv on: 3…
Federated Prediction-Powered Inference from Decentralized Databy Ping Luo, Xiaoge Deng, Ziqing Wen, Tao Sun, Dongsheng…
FC-KAN: Function Combinations in Kolmogorov-Arnold Networksby Hoang-Thang Ta, Duy-Quy Thai, Abu Bakar Siddiqur Rahman, Grigori…
AstroMAE: Redshift Prediction Using a Masked Autoencoder with a Novel Fine-Tuning Architectureby Amirreza Dolatpour Fathkouhi,…