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 ...
IEEE

Learning Textual Prompts for Open-World Semi-Supervised Learning

Abstract: Traditional semi-supervised learning achieves significant success in closed-world scenarios. To better align with the openness of the real world, researchers propose open-world ...
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

ARPY: Enhancing Novice Python Comprehension by Addressing Learning Difficulties through Design-Focused, Interactive Augmented Reality Visualization

Abstract: The integration of Augmented Reality (AR) technology into education has the potential to revolutionize the way programming languages, such as Python, are taught. This research explores the ...