Masegosa Arredondo, Andrés Ramón Autor

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:
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 - 1/6/2017

10.1007/s13748-017-0115-7

Número de citas: 6 (Web of Science) 4 (Scopus)

InferPy: Probabilistic modeling with deep neural networks made easy

  • Cózar J.
  • Cabañas R.
  • Salmerón A.
  • Masegosa A.R.

Neurocomputing - 20/11/2020

10.1016/j.neucom.2020.07.117

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

An Empirical Analysis of the Impact of Continuous Assessment on the Final Exam Mark

  • María Morales
  • Antonio Salmerón
  • Ana D. Maldonado
  • Andrés R. Masegosa
  • Rafael Rumí

Mathematics - 27/10/2022

10.3390/math10213994

Número de citas: 2 (Web of Science)

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: 7 (Web of Science) 7 (Scopus)

A Bayesian stochastic search method for discovering Markov boundaries

  • Masegosa A.
  • Moral S.

KNOWLEDGE-BASED SYSTEMS - 1/11/2012

10.1016/j.knosys.2012.04.028

Número de citas: 10 (Web of Science) 4 (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: 6 (Web of Science) 3 (Scopus)

A filter-wrapper method to select variables for the naive bayes classifier based on credal decision trees

  • Abellán J.
  • Masegosa A.

INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS - 1/12/2009

10.1142/s0218488509006297

Número de citas: 13 (Web of Science) 13 (Scopus)

Imprecise classification with credal decision trees

  • AbellÁn J.
  • Masegosa A.

INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS - 1/10/2012

10.1142/s0218488512500353

Número de citas: 15 (Web of Science) 8 (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

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)

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

Stochastic discriminative em

  • Masegosa A.

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

Número de citas: 1 (Scopus)

An interactive approach for cleaning noisy observations in Bayesian networks with the help of an expert

  • Masegosa A.
  • Moral S.

Proceedings of the 6th European Workshop on Probabilistic Graphical Models, PGM 2012 - 1/12/2012

Número de citas:

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)

Effects of highly agreed documents in relevancy prediction

  • Masegosa A.
  • Joho H.
  • Jose J.

Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07 - 3/12/2007

10.1145/1277741.1277957

Número de citas:

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:
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)
Open Access

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) 7 (Scopus)
Open Access

Locally averaged bayesian dirichlet metrics

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

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 14/7/2011

10.1007/978-3-642-22152-1_19

Número de citas: 1 (Scopus)
Open Access

An experimental study about simple decision trees for bagging ensemble on datasets with classification noise

  • Abellán J.
  • Masegosa A.

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_39

Número de citas: 23 (Web of Science) 20 (Scopus)
Open Access

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: 13 (Web of Science) 14 (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: 23/03/24 4:52
Próxima recolección programada: 30/03/24 3:00