Guia docente 2023_24
Escuela de Ingeniería Industrial
Máster Universitario en Enxeñaría Biomédica
 Materias
  Deseño de produtos e servizos intelixentes no sector biomédico
   Bibliografía. Fontes de información
Bibliografía Básica José T. Palma Méndez y Roque Marín Morales, Inteligencia Artificial Técnicas, métodos y aplicaciones, McGraw-Hill, 2008
Stuart J. Russell y Peter Norvig, Inteligencia artificial : un enfoque moderno, 2ª ed., Pearson Prentice Hall, 2004
Fakhreddine O. Karray y Clarence de Silva, Soft computing and intelligent systems design : theory, tools, and applications, Pearson-Addison Wesley, 2004
Enrique Castillo , José Manuel Gutiérrez y Ali S. Hadi, Expert systems and probabilistic network mode, Springer Science & Business Media, 2012
George J. Klir y Bo Yuan, Fuzzy sets and fuzzy logic, Prentice Hall, 1995
Paul Wilmott, Machine learning: an applied mathematics introduction, Panda Ohana Publishing, 2019
Tom M. Mitchell, Machine Learning, McGraw-Hill, 2007
Peter Flach, Machine learning: the art and science of algorithms that make sense of data, Cambridge University Press, 2012
Mehryar Mohri, Afshin Rostamizadeh y Ameet Talwalkar, Foundations of machine learning, MIT Press, 2018
Fernando Berzal, Redes neuronales & Deep Learning, Vol I & II, Independently published, 2009
Ian Goodfellow, Deep learning, MIT Press, 2017
Andrés Rodríguez, Deep Learning Systems: Algorithms, Compilers, and Processors for Large-Scale Production. Synthesis Lectures on Computer Architecture, Morgan & Claypool Publishers, 2020
Jefrey W. Herrmann, Engineering decision making and risk management, John Wiley & Sons, 2015
Efraim Turban, Jay E. Aronson y Ting-Peng Liang, Decision support systems and intelligent systems, Pearson/Prentice Hall, 2005
Bibliografía Complementaria Timothy J. Ross, Fuzzy logic with engineering applications, John Wiley & Sons, 2009
Mohssen Mohammed, Muhammad Badruddin Khan y Eihab Bashier Mohammed Bashier, Machine learning: algorithms and applications, CRC Press, 2016
Mehmed Kantardzic, Data mining: concepts, models, methods, and algorithms, IEEE Press; Wiley, 2020
Kenji Suzuki, Computational Intelligence in Biomedical Imaging, Springer, 2014
Radim Bris, Jaroslav Majernik, Krzysztof Pancerz, Elena Zaitseva, Applications of Computational Intelligence in Biomedical Technology, Springer, 2006
Rezaul Begg, Daniel T.H. Lai y Marimuthu Palaniswami, Computational intelligence in biomedical engineering, CRC Press, 2008
Sachi Nandan Mohanty, Machine learning for healthcare applications, Wiley-Scrivener, 2021
Donna L. Hudson y Maurice E. Cohen, Neural networks and artificial intelligence for biomedical engineering, Institute of Electrical and Electronics Engineers, 2000
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