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Darío Ramos-López
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2020 – today
- 2025
- [i3]Sergio Díaz-Elbal, Andrei Martínez-Finkelshtein, Darío Ramos-López:
Sampling patterns for Zernike-like bases in non-standard geometries. CoRR abs/2504.04442 (2025) - 2024
- [c7]Juan Carlos Luengo, Darío Ramos-López
, Rafael Rumí
Contributions on Mixtures of Polynomials for Hybrid Bayesian Networks. IDEAL (1) 2024: 460-471 - 2021
- [j7]Darío Ramos-López
Analysis of Corneal Data in R with the rPACI Package. R J. 13(2): 253 (2021) - 2020
- [j6]Andrés R. Masegosa, Ana M. Martínez
Analyzing concept drift: A case study in the financial sector. Intell. Data Anal. 24(3): 665-688 (2020)
2010 – 2019
- 2019
- [j5]Andrés R. Masegosa, Ana M. Martínez
AMIDST: A Java toolbox for scalable probabilistic machine learning. Knowl. Based Syst. 163: 595-597 (2019) - 2018
- [j4]Darío Ramos-López
Scalable importance sampling estimation of Gaussian mixture posteriors in Bayesian networks. Int. J. Approx. Reason. 100: 115-134 (2018) - 2017
- [j3]Andrés R. Masegosa
Scaling up Bayesian variational inference using distributed computing clusters. Int. J. Approx. Reason. 88: 435-451 (2017) - [j2]Darío Ramos-López
MAP inference in dynamic hybrid Bayesian networks. Prog. Artif. Intell. 6(2): 133-144 (2017) - [c6]Andrés R. Masegosa, Thomas D. Nielsen, Helge Langseth, Darío Ramos-López, Antonio Salmerón, Anders L. Madsen:
Bayesian Models of Data Streams with Hierarchical Power Priors. ICML 2017: 2334-2343 - [i2]Andrés R. Masegosa, Ana M. Martínez, Darío Ramos-López, Rafael Cabañas, Antonio Salmerón, Thomas D. Nielsen, Helge Langseth, Anders L. Madsen:
AMIDST: a Java Toolbox for Scalable Probabilistic Machine Learning. CoRR abs/1704.01427 (2017) - [i1]Andrés R. Masegosa, Thomas D. Nielsen, Helge Langseth, Darío Ramos-López, Antonio Salmerón, Anders L. Madsen:
Bayesian Models of Data Streams with Hierarchical Power Priors. CoRR abs/1707.02293 (2017) - 2016
- [j1]Darío Ramos-López
Optimal sampling patterns for Zernike polynomials. Appl. Math. Comput. 274: 247-257 (2016) - [c5]Antonio Salmerón, Anders L. Madsen
Parallel Filter-Based Feature Selection Based on Balanced Incomplete Block Designs. ECAI 2016: 743-750 - [c4]Rafael Cabañas
Financial Data Analysis with PGMs Using AMIDST. ICDM Workshops 2016: 1284-1287 - [c3]Andrés R. Masegosa, Ana M. Martínez, Helge Langseth, Thomas D. Nielsen, Antonio Salmerón, Darío Ramos-López, Anders L. Madsen:
d-VMP: Distributed Variational Message Passing. Probabilistic Graphical Models 2016: 321-332 - [c2]Darío Ramos-López, Antonio Salmerón, Rafael Rumí, Ana M. Martínez, Thomas D. Nielsen, Andrés R. Masegosa, Helge Langseth, Anders L. Madsen:
Scalable MAP inference in Bayesian networks based on a Map-Reduce approach. Probabilistic Graphical Models 2016: 415-425 - 2015
- [c1]Antonio Salmerón, Darío Ramos-López
Parallel Importance Sampling in Conditional Linear Gaussian Networks. CAEPIA 2015: 36-46
Coauthor Index
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