Frontiers

Semi-Supervised Learning with Foundation Models for Biomedical Data Analysis: Multimodality, Generative AI, and Clinical Adaptation

Biomedical data analysis has evolved rapidly from convolutional neural network-based systems toward transformer architectures and large-scale foundation ...
GitHub

Python code to run Supervised Molecular Dynamics (SuMD) simulations

Sabbadin, D.; Moro, S. Supervised Molecular Dynamics (SuMD) as a Helpful Tool to Depict GPCR-Ligand Recognition Pathway in a Nanosecond Time Scale. J. Chem. Inf ...
IEEE

Self-Supervised Learning for SAR Target Recognition with Multi-Task Pretext Training

Abstract: The scarcity of labeled data and the difference between synthetic and measured imagery impose major obstacles during Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR). This ...
IEEE

Adversarial Self-Supervised Learning for Secure and Robust Urban Region Profiling

Abstract: Urban region profiling is essential for forecasting and decision-making in dynamic and noisy urban environments. However, existing approaches struggle with adversarial attacks, data ...