resnet

该论文通过冻结选中子集并只更换训练学习器的受控实验，证明样本价值（以及 easy-first 与几何覆盖策略的 crossover budget）是相对于目标学习器定义的，而非数据的固有属性。

ResNLS is a hybrid neural network model combining ResNet and LSTM that improves stock price forecasting by emphasizing dependencies between stock prices, achieving at least 20% improvement over baselines and demonstrating practical trading applications.

The paper evaluates ECG biometrics under realistic conditions involving exercise-induced stress and cross-session variability using a Siamese ResNet model, achieving state-of-the-art performance.

This paper introduces R-U-Net, an ECG delineation model that pairs a ResNet-18 encoder with a U-Net decoder, achieving superior performance in semi-supervised learning settings compared to existing methods.

This paper presents an automated deep learning approach for brain tumor detection in MRI images using CNN and ResNet architectures with transfer learning, achieving up to 97% accuracy.

This paper investigates the impact of demographic bias (sex and age) on skin lesion classification using ResNet models, finding that sex biases stem from data imbalances while age biases consistently favor younger groups, and evaluating multi-task and adversarial learning mitigation strategies.