Darío Ramos-López

19 papers A* 1A 1Journal 12Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Sampling patterns for Zernike-like bases in non-standard geometries.
Appl. Math. Comput.
Sergio Díaz-Elbal, Andrei Martínez-Finkelshtein, Darío Ramos-López
2025 J jnl
Modeling continuous distributions in hybrid Bayesian networks using mixtures of polynomials with tails.
Comput. Stat. Data Anal.
Juan Carlos Luengo, Darío Ramos-López, Rafael Rumí
2025 J jnl
Sampling patterns for Zernike-like bases in non-standard geometries.
CoRR
Sergio Díaz-Elbal, Andrei Martínez-Finkelshtein, Darío Ramos-López
2024 — conf
Contributions on Mixtures of Polynomials for Hybrid Bayesian Networks.
IDEAL (1)
Juan Carlos Luengo, Darío Ramos-López, Rafael Rumí, Ana D. Maldonado
2021 J jnl
Analysis of Corneal Data in R with the rPACI Package.
R J.
Darío Ramos-López, Ana D. Maldonado
2020 J jnl
Analyzing concept drift: A case study in the financial sector.
Intell. Data Anal.
Andrés R. Masegosa, Ana M. Martínez, Darío Ramos-López, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón
2019 J jnl
AMIDST: A Java toolbox for scalable probabilistic machine learning.
Knowl. Based Syst.
Andrés R. Masegosa, Ana M. Martínez, Darío Ramos-López, Rafael Cabañas, Antonio Salmerón, Helge Langseth, Thomas D. Nielsen, Anders L. Madsen
2018 J jnl
Scalable importance sampling estimation of Gaussian mixture posteriors in Bayesian networks.
Int. J. Approx. Reason.
Darío Ramos-López, Andrés R. Masegosa, Antonio Salmerón, Rafael Rumí, Helge Langseth, Thomas D. Nielsen, Anders L. Madsen
2017 J jnl
AMIDST: a Java Toolbox for Scalable Probabilistic Machine Learning.
CoRR
Andrés R. Masegosa, Ana M. Martínez, Darío Ramos-López, Rafael Cabañas, Antonio Salmerón, Thomas D. Nielsen, Helge Langseth, Anders L. Madsen
2017 A* conf
Bayesian Models of Data Streams with Hierarchical Power Priors.
ICML
Andrés R. Masegosa, Thomas D. Nielsen, Helge Langseth, Darío Ramos-López, Antonio Salmerón, Anders L. Madsen
2017 J jnl
Bayesian Models of Data Streams with Hierarchical Power Priors.
CoRR
Andrés R. Masegosa, Thomas D. Nielsen, Helge Langseth, Darío Ramos-López, Antonio Salmerón, Anders L. Madsen
2017 J jnl
MAP inference in dynamic hybrid Bayesian networks.
Prog. Artif. Intell.
Darío Ramos-López, Andrés R. Masegosa, Ana M. Martínez, Antonio Salmerón, Thomas D. Nielsen, Helge Langseth, Anders L. Madsen
2017 J jnl
Scaling up Bayesian variational inference using distributed computing clusters.
Int. J. Approx. Reason.
Andrés R. Masegosa, Ana M. Martínez, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón, Darío Ramos-López, Anders L. Madsen
2016 — conf
Financial Data Analysis with PGMs Using AMIDST.
ICDM Workshops
Rafael Cabañas, Ana M. Martínez, Andrés R. Masegosa, Darío Ramos-López, Antonio Salmerón, Thomas D. Nielsen, Helge Langseth, Anders L. Madsen
2016 J jnl
Optimal sampling patterns for Zernike polynomials.
Appl. Math. Comput.
Darío Ramos-López, Miguel Ángel Sánchez Granero, Manuel Fernández-Martínez, Andrei Martínez-Finkelshtein
2016 A conf
Parallel Filter-Based Feature Selection Based on Balanced Incomplete Block Designs.
ECAI
Antonio Salmerón, Anders L. Madsen, Frank Jensen, Helge Langseth, Thomas D. Nielsen, Darío Ramos-López, Ana M. Martínez, Andrés R. Masegosa
2016 — conf
Scalable MAP inference in Bayesian networks based on a Map-Reduce approach.
Probabilistic Graphical Models
Darío Ramos-López, Antonio Salmerón, Rafael Rumí, Ana M. Martínez, Thomas D. Nielsen, Andrés R. Masegosa, Helge Langseth, Anders L. Madsen
2016 — conf
d-VMP: Distributed Variational Message Passing.
Probabilistic Graphical Models
Andrés R. Masegosa, Ana M. Martínez, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón, Darío Ramos-López, Anders L. Madsen
2015 — conf
Parallel Importance Sampling in Conditional Linear Gaussian Networks.
CAEPIA
Antonio Salmerón, Darío Ramos-López, Hanen Borchani, Ana M. Martínez, Andrés R. Masegosa, Antonio Fernández, Helge Langseth, Anders L. Madsen, Thomas D. Nielsen