Our method identifies both core and boundary communities, outperforming state-of-the-art algorithms (Louvain, Infomap, etc.) in both accuracy and stability—especially in large, complex networks. 🧠📊

Read it here 👉 www.sciencedirect.com/science/arti...

🚨 New paper out from our lab! 🚨

We introduce RC-CCD, a novel framework for community detection in complex networks using rough set theory and consensus clustering.

#CommunityDetection #GraphTheory #RoughSets #ConsensusClustering #ComplexNetworks #AIresearch

New AI framework aims to remove bias in key areas such as health, education, and recruitment
www.eurekalert.org/news-release...

youtu.be/MK3Uv3yoAB8?...

🔎 We explore how multi-objective hyperparameter optimization + conformal prediction can generate fair, efficient, and Pareto-optimal confidence predictors—balancing equalized coverage and informativeness in one run!
doi.org/10.1007/s109...

✨ Thrilled to share our latest work: "Fair Prediction Sets Through Multi-objective Hyperparameter Optimization" has been published in the Machine Learning journal (Special Issue on Conformal Prediction + Distribution-Free Uncertainty Quantification)! 🧠📚

This day-long event highlights 20 years of research at IRBLleida and features sessions on nutrition, chronic diseases, cancer, and more!

We’re honored to contribute to this celebration and invite everyone to join this exchange of ideas.

#Biomedicine #PrecisionMedicine #ResearchForTheFuture

His talk, titled "Precision with Confidence: Combining Expert Knowledge and Data-Driven Insights in Biomedicine", will explore how integrating expert knowledge with data analytics can transform precision medicine.

Full agenda in here www.irblleida.org/media/upload...

🌟 Save the Date! 🌟

We’re excited to announce that Dr. Rubén Armañanzas Arnedillo will deliver the keynote lecture at the 4th Annual Scientific Symposium of IRBLleida!

🗓 Date: Friday, December 13, 2024
🕒 Time: 12:30 PM
📍 Location: La Llotja de Lleida, Avinguda de Tortosa, 6, Lleida

Our main research lines are:

- Accurate healthcare predictions under uncertainty. 🎯

- Development of fair AI algorithms integrating human physiology models with personalized data. ⚖️

- Translational research bridging theoretical approaches and practical applications in biomedical domains. 👨‍⚕️

As a part of the Institute of Data Science and Artificial Intelligence (DATAI) of the University of Navarra, our work focuses on applying #AI methodologies to healthcare data, contributing to advancements in #PersonalizedMedicine and patient care. 🏥

👇👇👇

We are excited to share the launch of the Digital Medicine Lab account! 🎉🧬🤖📈

www.unav.edu/web/institut...