Publikationen, an denen er mitarbeitet RAFAEL MARTINEZ TOMAS (22)

2024

  1. Designing an effective semantic fluency test for early MCI diagnosis with machine learning

    Computers in Biology and Medicine, Vol. 180

2023

  1. A Knowledge Graph Framework for Dementia Research Data

    Applied Sciences (Switzerland), Vol. 13, Núm. 18

  2. Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends

    Information Fusion, Vol. 100

2022

  1. Automatic Scoring of Rey-Osterrieth Complex Figure Test Using Recursive Cortical Networks

    Artificial intelligence in neuroscience: Affective analysis and health applications: 9th international work-conference on the interplay between natural and artificial computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31-June 3, 2022, proceedings, Part I (Springer Suiza), pp. 455-463

  2. Automatic Scoring of Rey-Osterrieth Complex Figure Test Using Recursive Cortical Networks

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

  3. Evaluating Imputation Methods for Missing Data in a MCI Dataset

    Artificial intelligence in neuroscience: Affective analysis and health applications: 9th international work-conference on the interplay between natural and artificial computation, IWINAC 2022, Puerto de la Cruz, Tenerife, Spain, May 31-June 3, 2022, proceedings, Part I (Springer Suiza), pp. 446-454

  4. IWINAC'2019: Intelligent systems for cognitive training and assessment

    Expert Systems

2021

  1. An overview of graph databases and their applications in the biomedical domain

    Database, Vol. 2021

  2. Integrative Base Ontology for the Research Analysis of Alzheimer’s Disease-Related Mild Cognitive Impairment

    Frontiers in Neuroinformatics, Vol. 15

2020

  1. Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications

    Neurocomputing, Vol. 410, pp. 237-270

  2. Iwinac 2017: Assistive intelligence for the elderly

    Expert Systems

2019

  1. Ontologies for Early Detection of the Alzheimer Disease and Other Neurodegenerative Diseases

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

  2. Ontologies for early detection of the alzheimer disease and other neurodegenerative diseases

    Understanding the Brain Function and Emotions: 8th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2019 Almería, Spain, June 3–7, 2019 Proceedings, Part I (Springer Suiza), pp. 42-50

2018

  1. Hacia un indicador temprano de deterioro cognitivo válido como herramienta de screening

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

2017

  1. Extending XNAT platform with an incremental semantic framework

    Frontiers in Neuroinformatics, Vol. 11

2016

  1. Diagnosis of cognitive impairment compatible with early diagnosis of Alzheimer’s disease: A Bayesian network model based on the analysis of oral definitions of semantic categories

    Methods of Information in Medicine, Vol. 55, Núm. 1, pp. 42-49

2015

  1. A simulation tool for monitoring elderly who suffer from disorientation in a smart home

    Expert Systems, Vol. 32, Núm. 6, pp. 676-687

  2. Automatic drawing analysis of figures included in neuropsychological tests for the assessment and diagnosis of mild cognitive impairment

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

2013

  1. SBRS: Bridging the gap between biomedical research and clinical practice

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

2009

  1. On the effect of feedback in multilevel representation spaces for visual surveillance tasks

    Neurocomputing, Vol. 72, Núm. 4-6, pp. 916-927