Andres Ortiz García-rekin lankidetzan egindako argitalpenak (14)

2024

  1. A Comparative Study of Deep Learning Approaches for Cognitive Impairment Diagnosis Based on the Clock-Drawing Test

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

  2. Extracting Heart Rate Variability from NIRS Signals for an Explainable Detection of Learning Disorders

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

  3. Identifying HRV patterns in ECG signals as early markers of dementia

    Expert Systems with Applications, Vol. 243

  4. Unraveling Brain Synchronisation Dynamics by Explainable Neural Networks using EEG Signals: Application to Dyslexia Diagnosis

    Interdisciplinary Sciences - Computational Life Sciences

2023

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

    Information Fusion, Vol. 100

  2. Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism

    International Journal of Neural Systems, Vol. 33, Núm. 4

  3. Ensembling shallow siamese architectures to assess functional asymmetry in Alzheimer's disease progression

    Applied Soft Computing, Vol. 134

  4. Probabilistic Combination of Non-Linear Eigenprojections For Ensemble Classification

    IEEE Transactions on Emerging Topics in Computational Intelligence, Vol. 7, Núm. 5, pp. 1431-1441

  5. Use of Artificial Intelligence in the Identification and Diagnosis of Frailty Syndrome in Older Adults: Scoping Review

    Journal of medical Internet research, Vol. 25, pp. e47346

  6. Using Explainable Artificial Intelligence in the Clock Drawing Test to Reveal the Cognitive Impairment Pattern

    International Journal of Neural Systems, Vol. 33, Núm. 4

2022

  1. Automatic Classification System for Diagnosis of Cognitive Impairment Based on the Clock-Drawing Test

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

  2. Quantifying Inter-hemispheric Differences in Parkinson’s Disease Using Siamese Networks

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

  3. Towards Mixed Mode Biomarkers: Combining Structural and Functional Information by Deep Learning

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

  4. Uncertainty-driven ensembles of multi-scale deep architectures for image classification

    Information Fusion, Vol. 89, pp. 53-65