Zobrazeno 1 - 10 of 28 pro vyhledávání: '"J. David Nuñez-Gonzalez"'
2
A Review of Possible EEG Markers of Abstraction, Attentiveness, and Memorisation in Cyber-Physical Systems for Special Education
Autor: Eleni Vrochidou, Maya Dimitrova, Aleksandar Krastev, J. David Nuñez-Gonzalez, Hiroaki Wagatsuma
Publikováno v: Frontiers in Robotics and AI
Addi. Archivo Digital para la Docencia y la Investigación
instname
Frontiers in Robotics and AI, Vol 8 (2021)
[EN]Cyber-physical systems (CPSs) for special education rely on effective mental and brain processing during the lesson, performed with the assistance of humanoid robots. The improved diagnostic ability of the CPS is a prerogative of the system for e
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d0ed8b2130f25ab7f100ef5789e334f
http://europepmc.org/articles/PMC8439420
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3
Semantically enhanced network analysis for influencer identification in online social networks
Autor: Sebastián A. Ríos, J. David Nuñez-Gonzalez, Felipe Aguilera, Manuel Graña
Publikováno v: Neurocomputing. :71-81
Influencers in a social network are members that have greater effect in the online social network (OSN) than the average member. In the specific social networks known as communities of practice, where the focus is an specific area of knowledge, influ
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b61e38b42506eb007df9a9f972baa087
https://doi.org/10.1016/j.neucom.2017.01.123
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5
Enhancing Confusion Entropy (CEN) for binary and multiclass classification
Autor: Rosario Delgado, J. David Nuñez-Gonzalez
Publikováno v: Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona
PLoS ONE
PLoS ONE, Vol 14, Iss 1, p e0210264 (2019)
Addi. Archivo Digital para la Docencia y la Investigación
instname
Addi: Archivo Digital para la Docencia y la Investigación
Universidad del País Vasco
Recercat: Dipósit de la Recerca de Catalunya
Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Recercat. Dipósit de la Recerca de Catalunya
Different performance measures are used to assess the behaviour, and to carry out the comparison, of classifiers in Machine Learning. Many measures have been defined on the literature, and among them, a measure inspired by Shannon's entropy named the
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::555b710d4555318bbe89c4b19ad272d3
https://ddd.uab.cat/record/224175
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6
Vital Prognosis of Patients in Intensive Care Units Using an Ensemble of Bayesian Classifiers
Autor: Ángel Lavado, Rosario Delgado, J. Carlos Yébenes, J. David Nuñez-Gonzalez
Publikováno v: Machine Learning, Optimization, and Data Science ISBN: 9783030375980
LOD
An Ensemble of Bayesian Classifiers (EBC) is constructed to perform vital prognosis of patients in the Intensive Care Units (ICU). The data are scarce and unbalanced, so that the size of the minority class (critically ill patients who die) is very sm
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::25f5ca325024611855fb8c0a97c2f1d7
https://doi.org/10.1007/978-3-030-37599-7_51
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7
Testing Modified Confusion Entropy as Split Criterion for Decision Trees
Autor: Alexander Gonzalo de Sá, J. David Nuñez-Gonzalez, Manuel Graña
Publikováno v: Lecture Notes in Computer Science ISBN: 9783030298586
HAIS
Confusion Entropy (CEN) has been proposed as a performance measure for classification showing a better discrimination against other metrics. Many works use CEN for other purposes. Recently, an improvement in the definition of CEN has been proposed, a
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b304f1360af0b510c3906e2083d21815
https://doi.org/10.1007/978-3-030-29859-3_1
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8
Survival in the Intensive Care Unit: A prognosis model based on Bayesian classifiers
Autor: J. Carlos Yébenes, J. David Nuñez-Gonzalez, Rosario Delgado, Ángel Lavado
Publikováno v: Artificial Intelligence in Medicine. 115:102054
We develop a predictive prognosis model to support medical experts in their clinical decision-making process in Intensive Care Units (ICUs) (a) to enhance early mortality prediction, (b) to make more efficient medical decisions about patients at high
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f0432cfb704b6b45ce1de73920a4d91
https://doi.org/10.1016/j.artmed.2021.102054
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10
Enhancing Confusion Entropy as Measure for Evaluating Classifiers
Autor: Rosario Delgado, J. David Nuñez-Gonzalez
Publikováno v: Advances in Intelligent Systems and Computing ISBN: 9783319941196
SOCO-CISIS-ICEUTE
Performance measures are used in Machine Learning to assess the behaviour of classifiers. Many measures have been defined on the literature. In this work we focus on Confusion Entropy (CEN), a measure based in Shannon’s Entropy. We introduce a modi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fcd3c82c465441b0f54051eeb20c9002
https://doi.org/10.1007/978-3-319-94120-2_8
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