Enhancing Traffic Incident Management with Large Language Models: A Hybrid Machine Learning Approach for Severity…
Automated data processing and feature engineering for deep learning and big data applications: a surveyby…
Ensemble learning for predictive uncertainty estimation with application to the correction of satellite precipitation productsby…
Defect Detection in Tire X-Ray Images: Conventional Methods Meet Deep Structuresby Andrei Cozma, Landon Harris,…
MLFEF: Machine Learning Fusion Model with Empirical Formula to Explore the Momentum in Competitive Sportsby…
Towards Versatile Graph Learning Approach: from the Perspective of Large Language Modelsby Lanning Wei, Jun…
Data organization limits the predictability of binary classificationby Fei Jing, Zi-Ke Zhang, Yi-Cheng Zhang, Qingpeng…
Transfer Learning for the Prediction of Entity Modifiers in Clinical Text: Application to Opioid Use…
Enhancing Wind Speed and Wind Power Forecasting Using Shape-Wise Feature Engineering: A Novel Approach for…
Universal Time-Series Representation Learning: A Surveyby Patara Trirat, Yooju Shin, Junhyeok Kang, Youngeun Nam, Jihye…