Deep Learning to Predict Late-Onset Breast Cancer Metastasis: the Single Hyperparameter Grid Search (SHGS) Strategy…
Deep Learning: a Heuristic Three-stage Mechanism for Grid Searches to Optimize the Future Risk Prediction…
On zero-shot learning in neural state estimation of power distribution systemsby Aleksandr Berezin, Stephan Balduin,…
Stay Tuned: An Empirical Study of the Impact of Hyperparameters on LLM Tuning in Real-World…
Lite-SAM Is Actually What You Need for Segment Everythingby Jianhai Fu, Yuanjie Yu, Ningchuan Li,…
A Random Forest-based Prediction Model for Turning Points in Antagonistic Event-Group Competitionsby Zishuo ZhuFirst submitted…
Unleash Graph Neural Networks from Heavy Tuningby Lequan Lin, Dai Shi, Andi Han, Zhiyong Wang,…
Generative flow induced neural architecture search: Towards discovering optimal architecture in wavelet neural operatorby Hartej…
Some variation of COBRA in sequential learning setupby Aryan Bhambu, Arabin Kumar DeyFirst submitted to…
Application of Long-Short Term Memory and Convolutional Neural Networks for Real-Time Bridge Scour Predictionby Tahrima…