17 citations · 19 across the 3 of their papers we have counts for
3 papers
How do Machine Learning Models Change?
Joel Castaño, Rafael Cabañas, Antonio Salmerón +2
The proliferation of Machine Learning (ML) models and their open-source implementations has transformed Artificial Intelligence research and applications. Platforms like Hugging Fa…
Bayesian Networks for Causal Analysis in Socioecological Systems
Rafael Cabañas, Ana D. Maldonado, María Morales +2
Causal and counterfactual reasoning are emerging directions in data science that allow us to reason about hypothetical scenarios. This is particularly useful in fields like environ…
AMIDST: a Java Toolbox for Scalable Probabilistic Machine Learning
Andrés R. Masegosa, Ana M. Martínez, Darío Ramos-López +5
The AMIDST Toolbox is a software for scalable probabilistic machine learning with a spe- cial focus on (massive) streaming data. The toolbox supports a flexible modeling language b…