DAVID JOSE
FERNANDEZ AMOROS
Profesor Titular Universidad
Universidad de Cádiz
Cádiz, EspañaPublicaciones en colaboración con investigadores/as de Universidad de Cádiz (5)
2022
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A Rule-Learning Approach for Detecting Faults in Highly Configurable Software Systems from Uniform Random Samples
Proceedings of the Annual Hawaii International Conference on System Sciences
2021
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Machine learning for software engineering: A bibliometric analysis from 2015 to 2019
Proceedings of the Annual Hawaii International Conference on System Sciences
2020
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Group decision-making based on artificial intelligence: A bibliometric analysis
Mathematics, Vol. 8, Núm. 9
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Rough sets: A bibliometric analysis from 2014 to 2018
Proceedings of the Annual Hawaii International Conference on System Sciences
2017
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Towards taming variability models in the wild
Frontiers in Artificial Intelligence and Applications