2 papers
eess.SP2025
CODE-II: A large-scale dataset for artificial intelligence in ECG analysis
Petrus E. O. G. B. Abreu, Gabriela M. M. Paixão, Jiawei Li +7
Data-driven methods for electrocardiogram (ECG) interpretation are rapidly progressing. Large datasets have enabled advances in artificial intelligence (AI) based ECG analysis, yet…
stat.ML2025
Kernel Learning with Adversarial Features: Numerical Efficiency and Adaptive Regularization
Antônio H. Ribeiro, David Vävinggren, Dave Zachariah +2
Adversarial training has emerged as a key technique to enhance model robustness against adversarial input perturbations. Many of the existing methods rely on computationally expens…