{"total":15,"rows":[{"id":"2507.11783","title":"EEG Foundation Models: A Critical Review of Current Progress and Future Directions","created":"2025-07-15","cited_by_count":32,"area":null},{"id":"2505.02874","title":"Uncertainty Quantification for Machine Learning in Healthcare: A Survey","created":"2025-05-04","cited_by_count":14,"area":null},{"id":"2409.15114","title":"Evaluating ML Robustness in GNSS Interference Classification, Characterization & Localization","created":"2024-09-23","cited_by_count":11,"area":null},{"id":"2304.10755","title":"Interpretable and Robust AI in EEG Systems: A Survey","created":"2023-04-21","cited_by_count":10,"area":null},{"id":"2504.20069","title":"A Simple Review of EEG Foundation Models: Datasets, Advancements and Future Perspectives","created":"2025-04-24","cited_by_count":10,"area":null},{"id":"2503.23775","title":"Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies","created":"2025-03-31","cited_by_count":5,"area":null},{"id":"2509.24761","title":"Spatial-Functional awareness Transformer-based graph archetype contrastive learning for Decoding Visual Neural Representations from EEG","created":"2025-09-29","cited_by_count":3,"area":null},{"id":"2603.13324","title":"The Challenge of Out-Of-Distribution Detection in Motor Imagery BCIs","created":"2026-03-04","cited_by_count":1,"area":null},{"id":"2312.07213","title":"Brain-inspired Computing Based on Deep Learning for Human-computer Interaction: A Review","created":"2023-12-12","cited_by_count":0,"area":null},{"id":"2507.07559","title":"Real-Time Decorrelation-Based Anomaly Detection for Multivariate Time Series","created":"2025-07-10","cited_by_count":0,"area":null},{"id":"2508.03437","title":"Spatial Imputation Drives Cross-Domain Alignment for EEG Classification","created":"2025-08-05","cited_by_count":0,"area":null},{"id":"2604.08398","title":"ADAPTive Input Training for Many-to-One Pre-Training on Time-Series Classification","created":"2026-04-09","cited_by_count":0,"area":null},{"id":"2605.20182","title":"Atoms of Thought: Universal EEG Representation Learning with Microstates","created":"2026-05-19","cited_by_count":0,"area":null},{"id":"2609.04007","title":"RobustSeiz: An Open-Source Framework for Benchmarking the Robustness of EEG Seizure Detection Models","created":"2026-09-03","cited_by_count":0,"area":null},{"id":"2609.38625","title":"Interpretable but Fragile? Robustness of Concept Bottlenecks under Geometric-Semantic Perturbations","created":"2026-09-29","cited_by_count":0,"area":null}],"next_cursor":null}