Masegosa Arredondo, Andrés Ramón Autor

Publicaciones

Analyzing concept drift: A case study in the financial sector

  • Masegosa A.R.
  • Martínez A.M.
  • Ramos-López D.
  • Langseth H.
  • Nielsen T.D.
  • Salmerón A.

Intelligent Data Analysis - 21/05/2020

10.3233/ida-194515

Número de citas: 0 (Scopus)

InferPy: Probabilistic modeling with Tensorflow made easy

  • Cabañas R.
  • Salmerón A.
  • Masegosa A.

Knowledge-Based Systems - 15/3/2019

10.1016/j.knosys.2018.12.030

Número de citas: 0 (Scopus)

AMIDST: A Java toolbox for scalable probabilistic machine learning

  • Masegosa A.
  • Martínez A.
  • Ramos-López D.
  • Cabañas R.
  • Salmerón A.
  • Langseth H.
  • Nielsen T.
  • Madsen A.
... Ver más Contraer

Knowledge-Based Systems - 1/1/2019

10.1016/j.knosys.2018.09.019

Número de citas: 3 (Web of Science) 4 (Scopus)

Comparing two multinomial samples using hierarchical Bayesian models

  • Masegosa A.
  • Torres A.
  • Morales M.
  • Salmerón A.

Progress in Artificial Intelligence - 1/1/2019

10.1007/s13748-019-00202-1

Número de citas: 0 (Scopus)

Un test de dos muestras multinomiales basado en modelos bayesianos jerárquicos

  • Andrés Ramón Masegosa Arredondo
  • Antonio Torres
  • Antonio Salmerón

XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018) 23-26 de octubre de 2018 Granada, España - 2018

  • Dialnet
Open Access

Scalable importance sampling estimation of Gaussian mixture posteriors in Bayesian networks

  • Ramos-López D.
  • Masegosa A.
  • Salmerón A.
  • Rumí R.
  • Langseth H.
  • Nielsen T.
  • Madsen A.
... Ver más Contraer

International Journal of Approximate Reasoning - 1/9/2018

10.1016/j.ijar.2018.06.004

Número de citas: 3 (Web of Science) 3 (Scopus)
Open Access

Scaling up Bayesian variational inference using distributed computing clusters

  • Masegosa A.
  • Martinez A.
  • Langseth H.
  • Nielsen T.
  • Salmerón A.
  • Ramos-López D.
  • Madsen A.
... Ver más Contraer

International Journal of Approximate Reasoning - 1/9/2017

10.1016/j.ijar.2017.06.010

Número de citas: 7 (Web of Science) 8 (Scopus)

MAP inference in dynamic hybrid Bayesian networks

  • Ramos-López D.
  • Masegosa A.
  • Martínez A.
  • Salmerón A.
  • Nielsen T.
  • Langseth H.
  • Madsen A.
... Ver más Contraer

Progress in Artificial Intelligence - 1/6/2017

10.1007/s13748-017-0115-7

Número de citas: 3 (Web of Science) 3 (Scopus)

Probabilistic Graphical Models on Multi-Core CPUs Using Java 8

  • Masegosa A.
  • Martinez A.
  • Borchani H.

IEEE Computational Intelligence Magazine - 1/5/2016

10.1109/mci.2016.2532267

Número de citas: 8 (Scopus)
Open Access

Learning from incomplete data in Bayesian networks with qualitative influences

  • Masegosa A.
  • Feelders A.
  • Van Der Gaag L.

International Journal of Approximate Reasoning - 1/2/2016

10.1016/j.ijar.2015.11.004

Número de citas: 11 (Scopus)

Classification

  • Corani G.
  • Abellán J.
  • Masegosa A.
  • Moral S.
  • Zaffalon M.

Introduction to Imprecise Probabilities - 29/8/2014

10.1002/9781118763117.ch10

Número de citas: 2 (Scopus)

Virtual subconcept drift detection in discrete data using probabilistic graphical models

  • Cabañas R.
  • Cano A.
  • Gómez-Olmedo M.
  • Masegosa A.
  • Moral S.

Communications in Computer and Information Science - 1/1/2018

10.1007/978-3-319-91479-4_51

Número de citas: 1 (Web of Science) 2 (Scopus)

Variational Robust Subspace Clustering with Mean Update Algorithm

  • Dogadov S.
  • Masegosa A.
  • Nakajima S.

Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017 - 1/7/2017

10.1109/iccvw.2017.212

Número de citas: 0 (Scopus)

Bayesian models of data streams with hierarchical power priors

  • Masegosa A.
  • Nielsen T.
  • Langseth H.
  • Ramos-López D.
  • Salmerón A.
  • Madsen A.

34th International Conference on Machine Learning, ICML 2017 - 1/1/2017

Número de citas: 1 (Scopus)

Financial Data Analysis with PGMs Using AMIDST

  • Cabanas R.
  • Martinez A.
  • Masegosa A.
  • Ramos-Lopez D.
  • Sameron A.
  • Nielsen T.
  • Langseth H.
  • Madsen A.
... Ver más Contraer

IEEE International Conference on Data Mining Workshops, ICDMW - 2/7/2016

10.1109/icdmw.2016.0185

Número de citas: 3 (Web of Science) 4 (Scopus)

Parallel filter-based feature selection based on balanced incomplete block designs

  • Salmerón A.
  • Madsen A.
  • Jensen F.
  • Langseth H.
  • Nielsen T.
  • Ramos-López D.
  • Martínez A.
  • Masegosa A.
... Ver más Contraer

Frontiers in Artificial Intelligence and Applications - 1/1/2016

10.3233/978-1-61499-672-9-743

Número de citas: 0 (Scopus)

Dynamic Bayesian modeling for risk prediction in credit operations

  • Borchani H.
  • Martínez A.
  • Masegosa A.
  • Langseth H.
  • Nielsen T.
  • Salmerón A.
  • Fernández A.
  • Madsen A.
  • Sáez R.
... Ver más Contraer

Frontiers in Artificial Intelligence and Applications - 1/1/2015

10.3233/978-1-61499-589-0-17

Número de citas: 4 (Web of Science) 4 (Scopus)

Modeling concept drift: A probabilistic graphical model based approach

  • Borchani H.
  • Martínez A.
  • Masegosa A.
  • Langseth H.
  • Nielsen T.
  • Salmerón A.
  • Fernández A.
  • Madsen A.
  • Sáez R.
... Ver más Contraer

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 1/1/2015

10.1007/978-3-319-24465-5_7

Número de citas: 6 (Web of Science) 9 (Scopus)

Parallel importance sampling in conditional linear gaussian networks

  • Salmerón A.
  • Ramos-López D.
  • Borchani H.
  • Martínez A.
  • Masegosa A.
  • Fernández A.
  • Langseth H.
  • Madsen A.
  • Nielsen T.
... Ver más Contraer

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 1/1/2015

10.1007/978-3-319-24598-0_4

Número de citas: 6 (Web of Science) 6 (Scopus)

Stochastic discriminative em

  • Masegosa A.

Uncertainty in Artificial Intelligence - Proceedings of the 30th Conference, UAI 2014 - 1/1/2014

Número de citas: 1 (Scopus)
Open Access

Locally averaged Bayesian Dirichlet metrics for learning the structure and the parameters of Bayesian networks

  • Cano A.
  • Gómez-Olmedo M.
  • Masegosa A.
  • Moral S.

International Journal of Approximate Reasoning - 1/6/2013

10.1016/j.ijar.2012.09.003

Número de citas: 11 (Scopus)

Este autor no tiene patentes.

Open Access

Rejoinder on "imprecise probability models for learning multinomial distributions from data. Applications to learning credal networks"

  • Masegosa A.
  • Moral S.

International Journal of Approximate Reasoning - 1/1/2014

10.1016/j.ijar.2014.04.017

Número de citas: 3 (Scopus)

Scopus: 11

Web of Science: 8

El autor no tiene palabras clave.
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Última actualización de los datos: 6/07/20 18:40
Próxima recolección programada: 11/07/20 3:00