{"total":18,"rows":[{"id":"2508.17742","title":"EEG-FM-Bench: A Comprehensive Benchmark for the Systematic Evaluation and Diagnostic Analyses of EEG Foundation Models","created":"2025-08-25","cited_by_count":23,"area":null},{"id":"2606.30410","title":"Beyond IID: How General Are Tabular Foundation Models, Really?","created":"2026-06-29","cited_by_count":20,"area":null},{"id":"2602.17868","title":"MantisV2: Closing the Zero-Shot Gap in Time Series Classification with Synthetic Data and Test-Time Strategies","created":"2026-02-19","cited_by_count":11,"area":null},{"id":"2508.04045","title":"FeDaL: Federated Dataset Learning for General Time Series Foundation Models","created":"2025-08-06","cited_by_count":10,"area":null},{"id":"2510.26777","title":"Pre-trained Forecasting Models: Strong Zero-Shot Feature Extractors for Time Series Classification","created":"2025-10-30","cited_by_count":9,"area":null},{"id":"2510.27522","title":"Leveraging Generic Time Series Foundation Models for EEG Classification","created":"2025-10-31","cited_by_count":3,"area":null},{"id":"2506.01290","title":"Rating Quality of Diverse Time Series Data by Meta-learning from LLM Judgment","created":"2025-06-02","cited_by_count":1,"area":null},{"id":"2509.18112","title":"Large language models surpass domain-specific architectures for antepartum electronic fetal monitoring analysis","created":"2025-09-09","cited_by_count":1,"area":null},{"id":"2603.01348","title":"UTICA: Multi-Objective Self-Distllation Foundation Model Pretraining for Time Series Classification","created":"2026-03-02","cited_by_count":1,"area":null},{"id":"2603.16878","title":"A foundation model for electrodermal activity data","created":"2026-02-20","cited_by_count":1,"area":null},{"id":"2606.21776","title":"A Causal DAG Prior for Synthetic Time-Series Classification Datasets","created":"2026-06-19","cited_by_count":1,"area":null},{"id":"2512.01038","title":"FMTK: A Modular Toolkit for Composable Time Series Foundation Model Pipelines","created":"2025-11-30","cited_by_count":0,"area":null},{"id":"2604.25499","title":"EvoTSC: Evolving Feature Learning Models for Time Series Classification via Genetic Programming","created":"2026-04-28","cited_by_count":0,"area":null},{"id":"2605.08117","title":"Modular Retrieval-Augmented Generalization for Human Action Recognition","created":"2026-04-28","cited_by_count":0,"area":null},{"id":"2605.27464","title":"Beyond Motion Primitives: Behavioral Activity Recognition from Head-Mounted IMU","created":"2026-05-26","cited_by_count":0,"area":null},{"id":"2606.09861","title":"Time Series as Language: A Universal Tokenizer for General-Purpose Time Series Foundation Models","created":"2026-05-31","cited_by_count":0,"area":null},{"id":"2609.31206","title":"Self-Supervised Representation Learning: From Spectral Foundation Models to Auroral Emission Spectra","created":"2026-09-25","cited_by_count":0,"area":null},{"id":"2609.39386","title":"When, Not How Much: Evaluating Time-Series Foundation Models on Sparse Events","created":"2026-09-30","cited_by_count":0,"area":null}],"next_cursor":null}