Masegosa Arredondo, Andrés Ramón Autor

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)

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)

A memory efficient semi-Naive Bayes classifier with grouping of cases

  • Abellán J.
  • Cano A.
  • Masegosa A.
  • Moral S.

Intelligent Data Analysis - 6/6/2011

10.3233/ida-2010-0469

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

A method for integrating expert knowledge when learning bayesian networks from data

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

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS - 1/10/2011

10.1109/tsmcb.2011.2148197

Número de citas: 54 (Web of Science) 43 (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.
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KNOWLEDGE-BASED SYSTEMS - 1/1/2019

10.1016/j.knosys.2018.09.019

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

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: 7 (Web of Science) 1 (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)

An ensemble method using credal decision trees

  • Abellán J.
  • Masegosa A.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH - 16/8/2010

10.1016/j.ejor.2009.12.003

Número de citas: 38 (Web of Science) 39 (Scopus)
Open Access

An interactive approach for Bayesian network learning using domain/expert knowledge

  • Masegosa A.
  • Moral S.

INTERNATIONAL JOURNAL OF APPROXIMATE REASONING - 1/10/2013

10.1016/j.ijar.2013.03.009

Número de citas: 35 (Scopus)

Bagging schemes on the presence of class noise in classification

  • Abellán J.
  • Masegosa A.

EXPERT SYSTEMS WITH APPLICATIONS - 15/6/2012

10.1016/j.eswa.2012.01.013

Número de citas: 49 (Web of Science) 45 (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: 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

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

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)
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 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

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

An importance sampling approach to integrate expert knowledge when learning Bayesian networks from data

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

INTERNATIONAL JOURNAL OF COOPERATIVE INFORMATION SYSTEMS - 29/7/2010

10.1007/978-3-642-14049-5_70

Número de citas: 3 (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:
Open Access

A semi-naive bayes classifier with grouping of cases

  • Abellán J.
  • Cano A.
  • Masegosa A.
  • Moral S.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 1/12/2007

10.1007/978-3-540-75256-1_43

Número de citas: 2 (Web of Science) 5 (Scopus)
Open Access

Bagging decision trees on data sets with classification noise

  • Abellán J.
  • Masegosa A.

INTERNATIONAL JOURNAL OF COOPERATIVE INFORMATION SYSTEMS - 26/4/2010

10.1007/978-3-642-11829-6_17

Número de citas: 35 (Web of Science) 31 (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: 2 (Scopus)
Open Access

Combining decision trees based on imprecise probabilities and uncertainty measures

  • Abellán J.
  • Masegosa A.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 1/12/2007

10.1007/978-3-540-75256-1_46

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

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