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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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

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:

Second order PAC-Bayesian bounds for the weighted majority vote

  • Masegosa A.R.
  • Lorenzen S.S.
  • Igel C.
  • Seldin Y.

Advances in Neural Information Processing Systems - 1/1/2020

Número de citas: 4 (Scopus)

Learning under model misspecification: Applications to variational and ensemble methods

  • Masegosa A.R.

Advances in Neural Information Processing Systems - 1/1/2020

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