Masegosa Arredondo, Andrés Ramón Autor

Open Access

Varying parameter in classification based on imprecise probabilities

  • Abellán J.
  • Moral S.
  • Gómez M.
  • Masegosa A.

Advances in Soft Computing - 1/12/2006

10.1007/3-540-34777-1_28

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

Variational Inference over Nonstationary Data Streams for Exponential Family Models

  • Andrés R. Masegosa
  • Darío Ramos-López
  • Antonio Salmerón
  • Helge Langseth
  • Thomas D. Nielsen

Mathematics - 3/11/2020

10.3390/math8111942

Número de citas: 8 (Web of Science) 2 (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 - 1/09/2017

10.1016/j.ijar.2017.06.010

Número de citas: 9 (Web of Science) 10 (Scopus)
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 - 1/09/2018

10.1016/j.ijar.2018.06.004

Número de citas: 9 (Web of Science) 4 (Scopus)

Requirements for total uncertainty measures in Dempster-Shafer theory of evidence

  • Abellan J.
  • Masegosa A.

International Journal of General Systems - 1/12/2008

10.1080/03081070802082486

Número de citas: 67 (Web of Science) 59 (Scopus)

¿Pueden las matemáticas leer un libro?

  • Andrés Ramón Masegosa Arredondo

Boletín de la Titulación de Matemáticas de la UAL - 2017

Número de citas:
  • Dialnet
Open Access

Probabilistic Models with Deep Neural Networks

  • Andrés R. Masegosa
  • Rafael Cabañas De Paz
  • Helge Langseth
  • Thomas Dyhre Nielsen
  • Antonio Salmerón Cerdán

Entropy - 1/01/2021

10.3390/e23010117

Número de citas: 4 (Web of Science)

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: 11 (Scopus)

New skeleton-based approaches for Bayesian structure learning of Bayesian networks

  • Masegosa A.
  • Moral S.

APPLIED SOFT COMPUTING - 1/1/2013

10.1016/j.asoc.2012.09.029

Número de citas: 15 (Web of Science) 15 (Scopus)
Open Access

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 - 27/06/2017

10.1007/s13748-017-0115-7

Número de citas: 6 (Web of Science) 4 (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: 3 (Web of Science) 2 (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

Número de citas:
  • Dialnet

Models of supervised classification. Applications to genomics and information retrieval

  • Andrés Ramón Masegosa Arredondo
  • Serafín Moral Callejón
  • Andrés Cano Utrera

2009

Número de citas:
  • Dialnet

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: 3 (Scopus)

A new framework for learning generalized credal networks

  • Masegosa A.
  • Moral S.

ISIPTA 2013 - Proceedings of the 8th International Symposium on Imprecise Probability: Theories and Applications - 1/1/2013

Número de citas:
Open Access

A Bayesian random split to build ensembles of classification trees

  • Cano A.
  • Masegosa A.
  • Moral S.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 27/8/2009

10.1007/978-3-642-02906-6_41

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

A Bayesian approach to estimate probabilities in classification trees

  • Cano A.
  • Masegosa A.
  • Moral S.

Proceedings of the 4th European Workshop on Probabilistic Graphical Models, PGM 2008 - 1/12/2008

Número de citas: 1 (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: 12

Web of Science: 10

Scopus: 16

Web of Science: 11

Última actualización de los datos: 27/04/24 9:18
Próxima recolección programada: 4/05/24 3:00