Masegosa Arredondo, Andrés Ramón Author
Learning Styles Impact Students’ Perceptions on Active Learning Methodologies: A Case Study on the Use of Live Coding and Short Programming Exercises
- Andrés R. Masegosa
- Rafael Cabañas
- Ana D. Maldonado
- María Morales
Education Sciences - 1/3/2024
- Scopus
- ORCID
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
- JCR Impact Factor: 4.1 (2022)
- CiteScore: 8.2 (2021)
- SJR: 1.89 (2021
- SNIP: 2.458 (2021
- JCR 5-year Impact Factor: 4.8
- JCR Categories: COMPUTER SCIENCE, SOFTWARE ENGINEERING
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
- JCR Quartile: Q1 (2022)
- JCR Impact Factor: 2.4 (2022)
- Category normalized Impact: 1.166 (2022)
- CiteScore: 2.9 (2021)
- SJR: 0.538 (2021
- SNIP: 1.162 (2021
- JCR 5-year Impact Factor: 2.3
- JCR Categories: MATHEMATICS
- Scopus
- ORCID
- OAI-PMH
- Web of Science
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
- JCR Quartile: Q2 (2021)
- JCR Impact Factor: 2.738 (2022)
- Category normalized Impact: 0.156 (2021)
- CiteScore: 4 (2020)
- SJR: 0.468 (2020
- SNIP: 1.059 (2020
- JCR 5-year Impact Factor: 2.642
- JCR Categories: PHYSICS, MULTIDISCIPLINARY
- Scopus
- ORCID
- OAI-PMH
- 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
- JCR Quartile: Q1 (2020)
- SJR Quartile: Q1
- JCR Impact Factor: 5.719 (2022)
- Category normalized Impact: 0.126 (2020)
- CiteScore: 9.8 (2020)
- SJR: 1.085 (2020
- SNIP: 2.108 (2020
- JCR 5-year Impact Factor: 4.986
- JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- SJR Categories: Cognitive Neuroscience (Q1); Computer Science Applications (Q1); Artificial Intelligence (Q1)
- Scopus
- ORCID
- Web of Science
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
- JCR Quartile: Q1 (2020)
- JCR Impact Factor: 2.258 (2022)
- Category normalized Impact: 2.467 (2020)
- JCR 5-year Impact Factor: 2.165
- JCR Categories: MATHEMATICS
- Scopus
- ORCID
- OAI-PMH
- Web of Science
Comparing two multinomial samples using hierarchical Bayesian models
- Masegosa A.
- Torres A.
- Morales M.
- Salmerón A.
Progress in Artificial Intelligence - 6/06/2020
- SJR Quartile: Q2
- CiteScore: 3.4 (2020)
- SJR: 0.322 (2020
- SNIP: 0.746 (2020
- SJR Categories: Artificial Intelligence (Q2)
- Scopus
- ORCID
- Web of Science
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
- JCR Quartile: Q4 (2020)
- JCR Impact Factor: 0.86 (2022)
- Category normalized Impact: 0.379 (2020)
- CiteScore: 1.7 (2020)
- SJR: 0.231 (2020
- SNIP: 0.527 (2020
- JCR 5-year Impact Factor: 0.894
- JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- Scopus
- ORCID
- Web of Science
InferPy: Probabilistic modeling with Tensorflow made easy
- Cabañas R.
- Salmerón A.
- Masegosa A.
Knowledge-Based Systems - 15/03/2019
- JCR Quartile: Q1 (2019)
- SJR Quartile: Q1
- JCR Impact Factor: 5.921 (2022)
- Category normalized Impact: 0.267 (2019)
- CiteScore: 11.3 (2020)
- SJR: 1.754 (2019
- SNIP: 2.828 (2019
- JCR 5-year Impact Factor: 6.075
- JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- SJR Categories: Artificial Intelligence (Q1); Information Systems and Management (Q1); Management Information Systems (Q1); Software (Q1)
- Scopus
- ORCID
- 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.
Knowledge-Based Systems - 1/01/2019
- JCR Quartile: Q1 (2019)
- SJR Quartile: Q1
- JCR Impact Factor: 5.921 (2022)
- Category normalized Impact: 0.374 (2019)
- CiteScore: 11.3 (2020)
- SJR: 1.754 (2019
- SNIP: 2.828 (2019
- JCR 5-year Impact Factor: 6.075
- JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- SJR Categories: Artificial Intelligence (Q1); Information Systems and Management (Q1); Management Information Systems (Q1); Software (Q1)
- Scopus
- ORCID
- Web of Science
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
- Dialnet
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
- SJR Quartile: Q3
- Category normalized Impact: 0.39 (2018)
- CiteScore: 0.8 (2020)
- SJR: 0.168 (2018
- SNIP: 0.397 (2018
- SJR Categories: Computer Science (miscellaneous) (Q3); Mathematics (miscellaneous) (Q4)
- Dialnet
- Scopus
- ORCID
- Web of Science
Classification
- Corani G.
- Abellán J.
- Masegosa A.
- Moral S.
- Zaffalon M.
Introduction to Imprecise Probabilities - 29/8/2014
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
- CiteScore: 1.8 (2020)
- SJR: 0.293 (2007
- SNIP: 0.522 (2007
Selective gaussian naïve bayes model for Diffuse Large-B-Cell Lymphoma classification: Some improvements in preprocessing and variable elimination
- Cano A.
- Castellano J.
- Masegosa A.
- Moral S.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 1/12/2005
- CiteScore: 1.8 (2020)
- SJR: 0.334 (2005
- SNIP: 0.787 (2005
Methods to determine the branching attribute in Bayesian multinets classifiers
- Cano A.
- Castellano J.
- Masegosa A.
- Moral S.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) - 1/12/2005
- CiteScore: 1.8 (2020)
- SJR: 0.334 (2005
- SNIP: 0.787 (2005
This author has no patents.
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
- SJR Quartile: Q1
- JCR Impact Factor: 2.451 (2014)
- CiteScore: 7.1 (2020)
- SJR: 1.46 (2014
- SNIP: 2.845 (2014
- JCR 5-year Impact Factor: 2.51
- JCR Categories: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
- SJR Categories: Applied Mathematics (Q1); Artificial Intelligence (Q1); Software (Q1); Theoretical Computer Science (Q1)
Contact info
Department: Matemáticas
Email: andresmasegosa@ual.es
h index
Scopus: 12
Web of Science: 10
i10 index
Scopus: 16
Web of Science: 11
Research groups
-
Análisis de datos
Role: Miembro
Author profiles
-
ORCID
-
Web of Science ResearcherID
-
Scopus Author ID
-
Dialnet id
-
Google Scholar Id
Other identifiers
-
URI Datos BNE
Research projects at UAL
-
Acronym P20_00091Since: October 5, 2021Until: December 31, 2022Funded by: JUNTAFunding / grant amount: 31,950.00 EURRole: Investigador
-
Acronym UAL2020-FQM-B1961Since: January 1, 2021Until: December 31, 2022Funded by: Universidad de AlmeríaFunding / grant amount: 30,000.00 EURRole: Investigador
-
Acronym PID2019-106758GB-C32Since: June 1, 2020Until: May 31, 2023Funded by: MECFunding / grant amount: 80,828.00 EURPrincipal Investigator (PI)Role: Investigador principal 2
-
Acronym TIN2015-74368-JINSince: January 1, 2017Until: December 31, 2019Funded by: Ministerio de Economía, Industria y CompetitividadFunding / grant amount: 199,892.00 EURPrincipal Investigator (PI)Role: Investigador principal