Daniel
Rodríguez García
Profesor/a Titular Universidad
Universidad del País Vasco/Euskal Herriko Unibertsitatea
Lejona, EspañaPublications in collaboration with researchers from Universidad del País Vasco/Euskal Herriko Unibertsitatea (13)
2021
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Merge Nondominated Sorting Algorithm for Many-Objective Optimization
IEEE Transactions on Cybernetics, Vol. 51, Núm. 12, pp. 6154-6164
2018
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Learning to classify software defects from crowds: A novel approach
Applied Soft Computing Journal, Vol. 62, pp. 579-591
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Two datasets of defect reports labeled by a crowd of annotators of unknown reliability
Data in Brief
2017
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The Consolidated Tree Construction algorithm in imbalanced defect prediction datasets
2017 IEEE Congress on Evolutionary Computation, CEC 2017 - Proceedings
2016
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Evaluation of estimation models using the Minimum Interval of Equivalence
Applied Soft Computing Journal, Vol. 49, pp. 956-967
2015
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Bayesian concepts in software testing: An initial review
6th International Workshop on Automating Test Case Design, Selection and Evaluation, A-TEST 2015 - Proceedings
2014
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Preliminary comparison of techniques for dealing with imbalance in software defect prediction
ACM International Conference Proceeding Series
2011
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Applying rules to an ontology for project management
Actas de las 16th Jornadas de Ingenieria del Software y Bases de Datos, JISBD 2011
2010
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Knowledge Representation and Applied Decision Making (KREAM)
ICCS 2010 - INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE, PROCEEDINGS
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Using the XBRL GL for supporting organizational processes
Proceedings of the 10th International Workshop on Decision-Making in Software Engineering, ADIS 2010 - Evento Realizado en el Marco del CEDI 2010
2007
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Overview of XBRL technologies for decision making in accounting information systems
Workshop on Decision Support in Software Engineering, ADIS 2007
2006
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A two-stage zone regression method for global characterization of a project database
Advances in Machine Learning Applications in Software Engineering (IGI Global), pp. 1-13
2002
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An investigation of prediction models for project management
Proceedings-IEEE Computer Society's International Computer Software and Applications Conference, pp. 779-784