ALVAR
ARNAIZ GONZALEZ
Profesor Titular de Universidad
CESAR IGNACIO
GARCIA OSORIO
Catedrático de Universidad
CESAR IGNACIO GARCIA OSORIO-rekin lankidetzan egindako argitalpenak (24)
2024
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VASS: herramienta docente web para la visualización y enseñanza de algoritmos de aprendizaje semisupervisado
Actas de las Jornadas sobre la Enseñanza Universitaria de la Informática (JENUI), Núm. 9, pp. 319-326
2022
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When is resampling beneficial for feature selection with imbalanced wide data?
Expert Systems with Applications, Vol. 188
2021
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Approx-SMOTE: Fast SMOTE for Big Data on Apache Spark
Neurocomputing, Vol. 464, pp. 432-437
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Early multi-fault diagnosis in induction motors
Proceedings of the 15th International Conference on Industrial Engineering and Industrial Management and XXV Congreso de Ingeniería de Organización
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Experimental evaluation of ensemble classifiers for imbalance in Big Data
Applied Soft Computing, Vol. 108
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Rotation forest for big data
Information fusion, Vol. 74, pp. 39-49
2020
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Early and extremely early multi-label fault diagnosis in induction motors
ISA Transactions, Vol. 106, pp. 367-381
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Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
Journal of visualized experiments : JoVE
2019
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Evolutionary prototype selection for multi-output regression
Neurocomputing, Vol. 358, pp. 309-320
2018
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Aplicaciones de la técnica de "topic model" en repositorios software
XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España
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Local sets for multi-label instance selection
Applied Soft Computing Journal, Vol. 68, pp. 651-666
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Local sets for multi-label instance selection
XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España
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Seshat — a web-based educational resource for teaching the most common algorithms of lexical analysis
Computer Applications in Engineering Education, Vol. 26, Núm. 6, pp. 2255-2265
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Study of data transformation techniques for adapting single-label prototype selection algorithms to multi-label learning
Expert Systems with Applications, Vol. 109, pp. 114-130
2017
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Herramienta docente en línea para facilitar la enseñanza de teoría de autómatas
Aulas y Tecnología Educativa en Evolución: Actas, XXV Jornadas Universitarias de Tecnología Educativa, JUTE 2017. Burgos, 21, 22 y 23 de junio de 2017
2016
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Fusion of instance selection methods in regression tasks
Information Fusion, Vol. 30, pp. 69-79
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Instance selection for regression by discretization
Expert Systems with Applications, Vol. 54, pp. 340-350
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Instance selection for regression: Adapting DROP
Neurocomputing, Vol. 201, pp. 66-81
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Instance selection of linear complexity for big data
Knowledge-Based Systems, Vol. 107, pp. 83-95
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Random feature weights for regression trees
Progress in Artificial Intelligence, Vol. 5, Núm. 2, pp. 91-103