Fernando Boto Sánchez-rekin lankidetzan egindako argitalpenak (14)

2023

  1. Convolutional Neural Networks for Structured Industrial Data

    Lecture Notes in Networks and Systems

2020

  1. Predictive maintenance on the machining process and machine tool

    Applied Sciences (Switzerland), Vol. 10, Núm. 1

2018

  1. A statistical data-based approach to instability detection and wear prediction in radial turning processes

    Eksploatacja i Niezawodnosc, Vol. 20, Núm. 3, pp. 405-412

  2. Instability detection on a radial turning process for superalloys

    Advances in Intelligent Systems and Computing

  3. Time series forecasting in turning processes using ARIMA model

    Studies in Computational Intelligence (Springer Verlag), pp. 157-166

2010

  1. Hybrid decision support system for endovascular aortic aneurysm repair follow-up

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

  2. Thrombus volume change visualization after endovascular abdominal aortic aneurysm repair

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

2006

  1. Cut digits classification with k-NN multi-specialist

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

2005

  1. Noisy digit classification with multiple specialist

    Lecture Notes in Computer Science

2003

  1. Fast multistage algorithm for K-NN classifiers

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2905, pp. 448-455

2002

  1. An incremental and hierarchical K-NN classifier for handwritten characters

    Proceedings - International Conference on Pattern Recognition

  2. Multidimensional multistage k-NN classifiers for handwritten digit recognition

    Proceedings - International Workshop on Frontiers in Handwriting Recognition, IWFHR