Masegosa Arredondo, Andrés Ramón Autor

From anecdote to evidence: the relationship between personality and need for cognition of developers

  • Russo D.
  • Masegosa A.R.
  • Stol K.J.

EMPIRICAL SOFTWARE ENGINEERING - 1/5/2022

10.1007/s10664-021-10106-1

Número de citas: 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)
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)

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)

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)

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)

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:

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)
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: 9 (Web of Science) 4 (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
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)

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)

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: 12 (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:

Haplotype-based classifiers to predict individual susceptibility to complex diseases: An example for multiple sclerosis

  • Abad-Grau M.
  • Medina-Medina N.
  • Masegosa A.
  • Moral S.

BIOINFORMATICS 2012 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms - 13/6/2012

10.5220/0003874003600366

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

Riskoweb: Web-based genetic profiling to complex disease using genome-wide SNP markers

  • Torres-Sánchez S.
  • Montes-Soldado R.
  • Medina-Medina N.
  • Masegosa A.
  • Abad-Grau M.

Advances in Intelligent and Soft Computing - 23/9/2011

10.1007/978-3-642-19914-1_1

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

Learning with Bayesian networks and probability trees to approximate a joint distribution

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

International Conference on Intelligent Systems Design and Applications, ISDA - 1/12/2011

10.1109/isda.2011.6121725

Número de citas: 2 (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