Publicaciones en las que colabora con ANDRES BUSTILLO IGLESIAS (12)

2024

  1. Semi-supervised diagnosis of wind-turbine gearbox misalignment and imbalance faults

    Applied Intelligence

2021

  1. High-accuracy classification of thread quality in tapping processes with ensembles of classifiers for imbalanced learning

    Measurement: Journal of the International Measurement Confederation, Vol. 168

2019

  1. Design of a smartart classroom in art history: a learnign experience whit sef-regulated serious games

    INTED2019 Proceedings 11th-13th March 2019: 13th International Technology, Education and Development Conference (Iated Academy S.L), pp. 1998-2006

  2. Design of a smartart classroom in art history: a learning experience with self-regulated serious games

    13th international technology, education and development conference (inted2019)

2017

  1. A decision-making tool based on decision trees for roughness prediction in face milling

    International Journal of Computer Integrated Manufacturing, Vol. 30, Núm. 9, pp. 943-957

2014

  1. Online breakage detection of multitooth tools using classifier ensembles for imbalanced data

    International Journal of Systems Science, Vol. 45, Núm. 12, pp. 2590-2602

2013

  1. Improvements in modelling of complex manufacturing processes using classification techniques

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2012

  1. Boosting Projections to improve surface roughness prediction in high-torque milling operations

    Soft Computing, Vol. 16, Núm. 8, pp. 1427-1437

2011

  1. Avoiding neural network fine tuning by using ensemble learning: Application to ball-end milling operations

    International Journal of Advanced Manufacturing Technology, Vol. 57, Núm. 5-8, pp. 521-532

  2. GRASP forest: A new ensemble method for trees

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Modelling of process parameters in laser polishing of steel components using ensembles of regression trees

    International Journal of Computer Integrated Manufacturing, Vol. 24, Núm. 8, pp. 735-747

  4. Using ensembles of regression trees to monitor lubricating oil quality

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)