David Gil Méndez-rekin lankidetzan egindako argitalpenak (11)

2024

  1. Deep Learning Approaches Applied to Image Classification of Renal Tumors: A Systematic Review

    Archives of Computational Methods in Engineering, Vol. 31, Núm. 2, pp. 615-622

  2. Human-Centric Solutions and AI in the Smart City Context: The Industry 5.0 Perspective

    Springer Proceedings in Complexity

  3. Meta-Learning on Clinical Data for Diagnosis Support Systems: A Systematic Review

    Springer Proceedings in Complexity

  4. Sensing technologies and machine learning methods for emotion recognition in autism: Systematic review

    International Journal of Medical Informatics, Vol. 187

2023

  1. Challenges and Opportunities for the Recognition of Human Activity in Supervised Flats

    Lecture Notes in Networks and Systems

  2. Deep Learning Approaches Applied to MRI and PET Image Classification of Kidney Tumours: A Systematic Review

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

  3. Meta-learning. An Approach Applied to Clinical Data

    Lecture Notes in Networks and Systems

  4. Overcoming the Lack of Data to Improve Prediction and Treatment of Individuals with Autistic Spectrum Disorder and Attention Deficit Hyperactivity Disorder

    Lecture Notes in Networks and Systems

2021

  1. Data mining and machine learning techniques for early detection in autism spectrum disorder

    Neural Engineering Techniques for Autism Spectrum Disorder: Volume 1: Imaging and Signal Analysis (Elsevier), pp. 77-125

  2. Smart architectures for evaluating the autonomy and behaviors of people with autism spectrum disorder in smart homes

    Neural Engineering Techniques for Autism Spectrum Disorder: Volume 1: Imaging and Signal Analysis (Elsevier), pp. 55-76

2020

  1. A machine learning and integration based architecture for cognitive disorder detection used for early autism screening

    Electronics (Switzerland), Vol. 9, Núm. 3