Rapid penetration of AI in industries is enhancing its ability and making it smarter and more efficient. This, in turn, is ...

Abstract: Deep learning (DL) is currently the dominant approach ... neural networks (CNNs), namely fully convolutional networks (FCNs), with probabilistic graphical models (PGMs). Our method takes ...

Abstract: Graphical models - especially probabilistic networks like Bayes networks and ... a large part of recent research has been devoted to learning them from data. However, if the dataset to learn ...

This project was developed as a final assignment for the course "Probabilistic Graphical Models", part of the Master's program in Machine Learning. It explores advanced modeling techniques such as ...

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

Artificial intelligence is playing an increasingly vital role in modern medicine, particularly in interpreting medical images ...

After almost a decade of hands-on workshops and ongoing research, educators share the power of digital storytelling as an approach that makes learning more personal, emotional, and impactful ...

Deep Learning, Personalized Pharmacotherapy, Pregnancy, Psychiatric Disorders, Electronic Health Records, Drug Efficacy Share and Cite: Filippis, R. and Foysal, A. (2025) Deep Learning for ...