Publicaciones en colaboración con investigadores/as de University of Cambridge (607)

2023

  1. A non-parametric statistical inference framework for Deep Learning in current neuroimaging

    Information Fusion, Vol. 91, pp. 598-611

  2. Applications of machine learning and deep learning in SPECT and PET imaging: General overview, challenges and future prospects

    Pharmacological Research, Vol. 197

  3. Binarized multi-gate mixture of Bayesian experts for cardiac syndrome X diagnosis: A clinician-in-the-loop scenario with a belief-uncertainty fusion paradigm

    Information Fusion, Vol. 97

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

    Information Fusion, Vol. 100

  5. Guest Editorial Special Issue on Explainable Deep Learning for Medical Image Processing and Analysis

    IEEE Transactions on Emerging Topics in Computational Intelligence

2022

  1. A Connection between Pattern Classification by Machine Learning and Statistical Inference with the General Linear Model

    IEEE Journal of Biomedical and Health Informatics, Vol. 26, Núm. 11, pp. 5332-5343

  2. Chronic neuropsychiatric sequelae of SARS-CoV-2: Protocol and methods from the Alzheimer's Association Global Consortium

    Alzheimer's and Dementia: Translational Research and Clinical Interventions, Vol. 8, Núm. 1

  3. Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions

    Information Fusion, Vol. 82, pp. 99-122

  4. Metaheuristics “In the Large”

    European Journal of Operational Research, Vol. 297, Núm. 2, pp. 393-406

  5. Quantifying Differences between Affine and Nonlinear Spatial Normalization of FP-CIT Spect Images

    International Journal of Neural Systems, Vol. 32, Núm. 5

  6. Standardization of Agnostic Learning Techniques in Neuroimaging: a Case Study in EEG

    2022 IEEE NSS/MIC RTSD - IEEE Nuclear Science Symposium, Medical Imaging Conference and Room Temperature Semiconductor Detector Conference

  7. TweetNLP: Cutting-Edge Natural Language Processing for Social Media

    EMNLP 2022 - 2022 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Demonstrations Session

2021

  1. Statistical Agnostic Mapping: A framework in neuroimaging based on concentration inequalities

    Information Fusion, Vol. 66, pp. 198-212

2020

  1. Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation

    Information Fusion, Vol. 64, pp. 149-187

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

    Neurocomputing, Vol. 410, pp. 237-270

  3. Autosomal dominantly inherited alzheimer disease: Analysis of genetic subgroups by machine learning

    Information Fusion, Vol. 58, pp. 153-167

  4. Granger causality-based information fusion applied to electrical measurements from power transformers

    Information Fusion, Vol. 57, pp. 59-70

  5. Intrinsic excitation-inhibition imbalance affects medial prefrontal cortex differently in autistic men versus women

    eLife, Vol. 9, pp. 1-31

2019

  1. A Machine Learning Approach to Reveal the NeuroPhenotypes of Autisms

    International Journal of Neural Systems, Vol. 29, Núm. 7

  2. On the computation of distribution-free performance bounds: Application to small sample sizes in neuroimaging

    Pattern Recognition, Vol. 93, pp. 1-13