Darío Ramos-López

According to our database, Darío Ramos-López authored at least 14 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Contributions on Mixtures of Polynomials for Hybrid Bayesian Networks.

Juan Carlos Luengo, Darío Ramos-López, Rafael Rumí, Ana D. Maldonado

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2024, 2024

2021

Analysis of Corneal Data in R with the rPACI Package.

Darío Ramos-López, Ana D. Maldonado

R J., 2021

2020

Analyzing concept drift: A case study in the financial sector.

Andrés R. Masegosa, Ana M. Martínez, Darío Ramos-López, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón

Intell. Data Anal., 2020

2019

AMIDST: A Java toolbox for scalable probabilistic machine learning.

Andrés R. Masegosa, Ana M. Martínez, Darío Ramos-López, Rafael Cabañas, Antonio Salmerón, Helge Langseth, Thomas D. Nielsen, Anders L. Madsen

Knowl. Based Syst., 2019

2018

Scalable importance sampling estimation of Gaussian mixture posteriors in Bayesian networks.

Darío Ramos-López, Andrés R. Masegosa, Antonio Salmerón, Rafael Rumí, Helge Langseth, Thomas D. Nielsen, Anders L. Madsen

Int. J. Approx. Reason., 2018

2017

MAP inference in dynamic hybrid Bayesian networks.

Darío Ramos-López, Andrés R. Masegosa, Ana M. Martínez, Antonio Salmerón, Thomas D. Nielsen, Helge Langseth, Anders L. Madsen

Prog. Artif. Intell., 2017

Scaling up Bayesian variational inference using distributed computing clusters.

Andrés R. Masegosa, Ana M. Martínez, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón, Darío Ramos-López, Anders L. Madsen

Int. J. Approx. Reason., 2017

Bayesian Models of Data Streams with Hierarchical Power Priors.

Andrés R. Masegosa, Thomas D. Nielsen, Helge Langseth, Darío Ramos-López, Antonio Salmerón, Anders L. Madsen

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Optimal sampling patterns for Zernike polynomials.

Darío Ramos-López, Miguel Ángel Sánchez Granero, Manuel Fernández-Martínez, Andrei Martínez-Finkelshtein

Appl. Math. Comput., 2016

Scalable MAP inference in Bayesian networks based on a Map-Reduce approach.

Darío Ramos-López, Antonio Salmerón, Rafael Rumí, Ana M. Martínez, Thomas D. Nielsen, Andrés R. Masegosa, Helge Langseth, Anders L. Madsen

Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

d-VMP: Distributed Variational Message Passing.

Andrés R. Masegosa, Ana M. Martínez, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón, Darío Ramos-López, Anders L. Madsen

Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

Financial Data Analysis with PGMs Using AMIDST.

Rafael Cabañas, Ana M. Martínez, Andrés R. Masegosa, Darío Ramos-López, Antonio Salmerón, Thomas D. Nielsen, Helge Langseth, Anders L. Madsen

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Parallel Filter-Based Feature Selection Based on Balanced Incomplete Block Designs.

Antonio Salmerón, Anders L. Madsen, Frank Jensen, Helge Langseth, Thomas D. Nielsen, Darío Ramos-López, Ana M. Martínez, Andrés R. Masegosa

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015

Parallel Importance Sampling in Conditional Linear Gaussian Networks.

Antonio Salmerón, Darío Ramos-López, Hanen Borchani, Ana M. Martínez, Andrés R. Masegosa, Antonio Fernández, Helge Langseth, Anders L. Madsen, Thomas D. Nielsen

Proceedings of the Advances in Artificial Intelligence, 2015