| Learning Robust Representations for Automatic Target Recognition | Nov 26, 2018 | General ClassificationRobust classification | —Unverified | 0 | 0 |
| Learning to classify with possible sensor failures | Jul 16, 2015 | Anomaly DetectionGeneral Classification | —Unverified | 0 | 0 |
| Learning to Defense by Learning to Attack | Mar 27, 2019 | Adversarial AttackRobust classification | —Unverified | 0 | 0 |
| Leveraging Auxiliary Task Relevance for Enhanced Bearing Fault Diagnosis through Curriculum Meta-learning | Oct 27, 2024 | Fault DiagnosisMeta-Learning | —Unverified | 0 | 0 |
| Linearly-involved Moreau-Enhanced-over-Subspace Model: Debiased Sparse Modeling and Stable Outlier-Robust Regression | Jan 10, 2022 | regressionRobust classification | —Unverified | 0 | 0 |
| Low-dimensional representation of brain networks for seizure risk forecasting | May 1, 2025 | EEGRobust classification | —Unverified | 0 | 0 |
| Mapping distinct timescales of functional interactions among brain networks | Dec 1, 2017 | Functional ConnectivityRobust classification | —Unverified | 0 | 0 |
| M3D: Manifold-based Domain Adaptation with Dynamic Distribution for Non-Deep Transfer Learning in Cross-subject and Cross-session EEG-based Emotion Recognition | Apr 24, 2024 | Deep LearningDomain Adaptation | —Unverified | 0 | 0 |
| MIRST-DM: Multi-Instance RST with Drop-Max Layer for Robust Classification of Breast Cancer | May 2, 2022 | Adversarial Robustnessimage-classification | —Unverified | 0 | 0 |
| Monotonicity Regularization: Improved Penalties and Novel Applications to Disentangled Representation Learning and Robust Classification | May 17, 2022 | image-classificationImage Classification | —Unverified | 0 | 0 |
