Fermín Segovia
Orcid: 0000-0003-1940-8834
According to our database1,
Fermín Segovia
authored at least 80 papers
between 2008 and 2024.
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Bibliography
2024
Statistical Agnostic Regression: a machine learning method to validate regression models.
CoRR, 2024
CoRR, 2024
2023
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends.
Inf. Fusion, December, 2023
Integr. Comput. Aided Eng., 2023
2022
A Connection Between Pattern Classification by Machine Learning and Statistical Inference With the General Linear Model.
IEEE J. Biomed. Health Informatics, 2022
Temperature Control and Monitoring System for Electrical Power Transformers Using Thermal Imaging.
Proceedings of the Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence, 2022
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022
2021
Statistical Agnostic Mapping: A framework in neuroimaging based on concentration inequalities.
Inf. Fusion, 2021
2020
Granger causality-based information fusion applied to electrical measurements from power transformers.
Inf. Fusion, 2020
Autosomal dominantly inherited alzheimer disease: Analysis of genetic subgroups by machine learning.
Inf. Fusion, 2020
Multivariate analysis of dual-point amyloid PET intended to assist the diagnosis of Alzheimer's disease.
Neurocomputing, 2020
Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications.
Neurocomputing, 2020
2019
Int. J. Neural Syst., 2019
Int. J. Neural Syst., 2019
Proceedings of the Understanding the Brain Function and Emotions, 2019
Proceedings of the Understanding the Brain Function and Emotions, 2019
Comparison Between Affine and Non-affine Transformations Applied to I ^[123] [ 123 ] -FP-CIT SPECT Images Used for Parkinson's Disease Diagnosis.
Proceedings of the Understanding the Brain Function and Emotions, 2019
2018
Using deep neural networks along with dimensionality reduction techniques to assist the diagnosis of neurodegenerative disorders.
Log. J. IGPL, 2018
Robust Ensemble Classification Methodology for I123-Ioflupane SPECT Images and Multiple Heterogeneous Biomarkers in the Diagnosis of Parkinson's Disease.
Frontiers Neuroinformatics, 2018
Deep Convolutional Autoencoders vs PCA in a Highly-Unbalanced Parkinson's Disease Dataset: A DaTSCAN Study.
Proceedings of the International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, 2018
Classification Improvement for Parkinson's Disease Diagnosis Using the Gradient Magnitude in DaTSCAN SPECT Images.
Proceedings of the International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, 2018
Using Early Acquisitions of Amyloid-PET as a Surrogate of FDG-PET: A Machine Learning Based Approach.
Proceedings of the 2018 International Workshop on Pattern Recognition in Neuroimaging, 2018
2017
Frontiers Neuroinformatics, 2017
Functional Brain Imaging Synthesis Based on Image Decomposition and Kernel Modeling: Application to Neurodegenerative Diseases.
Frontiers Neuroinformatics, 2017
A Heavy Tailed Expectation Maximization Hidden Markov Random Field Model with Applications to Segmentation of MRI.
Frontiers Neuroinformatics, 2017
A semi-supervised learning approach for model selection based on class-hypothesis testing.
Expert Syst. Appl., 2017
Case-Based Statistical Learning: A Non-Parametric Implementation With a Conditional-Error Rate SVM.
IEEE Access, 2017
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017
Analysis of 18F-DMFP-PET data using Hidden Markov Random Field and the Gaussian distribution to assist the diagnosis of Parkinsonism.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Automatic Separation of Parkinsonian Patients and Control Subjects Based on the Striatal Morphology.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017
Case-Based Statistical Learning: A Non Parametric Implementation Applied to SPECT Images.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017
On a Heavy-Tailed Intensity Normalization of the Parkinson's Progression Markers Initiative Brain Database.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017
2016
Assisting the Diagnosis of Neurodegenerative Disorders Using Principal Component Analysis and TensorFlow.
Proceedings of the International Joint Conference SOCO'16-CISIS'16-ICEUTE'16, 2016
Multiclass classification of <sup>18</sup>F-DMFP-PET data to assist the diagnosis of parkinsonism.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2016
Magnetic resonance image classification using nonnegative matrix factorization and ensemble tree learning techniques.
Proceedings of the 18th IEEE International Workshop on Multimedia Signal Processing, 2016
2015
Early diagnosis of Alzheimer's disease based on partial least squares, principal component analysis and support vector machine using segmented MRI images.
Neurocomputing, 2015
Distinguishing Parkinson's disease from atypical parkinsonian syndromes using PET data and a computer system based on support vector machines and Bayesian networks.
Frontiers Comput. Neurosci., 2015
2014
Frontiers Comput. Neurosci., 2014
PET imaging analysis using a parcelation approach and multiple kernel classification.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014
Proceedings of the Innovation in Medicine and Healthcare 2014, 2014
2013
Early diagnosis of Alzheimer's disease based on Partial Least Squares and Support Vector Machine.
Expert Syst. Appl., 2013
Automatic Differentiation between Alzheimer's Disease and Mild Cognitive Impairment Combining PET Data and Psychological Scores.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013
Proceedings of the Natural and Artificial Models in Computation and Biology, 2013
2012
A comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database.
Neurocomputing, 2012
Automatic differentiation between controls and Parkinson's disease DaTSCAN images using a Partial Least Squares scheme and the Fisher Discriminant Ratio.
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012
2011
Inf. Sci., 2011
Principal component analysis-based techniques and supervised classification schemes for the early detection of Alzheimer's disease.
Neurocomputing, 2011
Two approaches to selecting set of voxels for the diagnosis of Alzheimerʼs disease using brain SPECT images.
Digit. Signal Process., 2011
Appl. Soft Comput., 2011
Appl. Soft Comput., 2011
Effective Diagnosis of Alzheimer's Disease by Means of Distance Metric Learning and Random Forest.
Proceedings of the New Challenges on Bioinspired Applications, 2011
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011
2010
Projecting independent components of SPECT images for computer aided diagnosis of Alzheimer's disease.
Pattern Recognit. Lett., 2010
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010
Selecting Regions of Interest in SPECT Images Using Wilcoxon Test for the Diagnosis of Alzheimer's Disease.
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010
2009
Analysis of Brain SPECT Images for the Diagnosis of Alzheimer Disease Using First and Second Order Moments.
Proceedings of the Bioinspired Applications in Artificial and Natural Computation, 2009
Functional Brain Image Classification Techniques for Early Alzheimer Disease Diagnosis.
Proceedings of the Bioinspired Applications in Artificial and Natural Computation, 2009
Support Vector Machines and Neural Networks for the Alzheimer's Disease Diagnosis Using PCA.
Proceedings of the Bioinspired Applications in Artificial and Natural Computation, 2009
Proceedings of the Bioinspired Applications in Artificial and Natural Computation, 2009
Selecting Regions of Interest for the Diagnosis of Alzheimer's Disease in Brain SPECT Images Using Welch's t-Test.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009
SPECT Image Classification Techniques for Computer Aided Diagnosis of the Alzheimer Disease.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009
Automatic System for Alzheimer's Disease Diagnosis Using Eigenbrains and Bayesian Classification Rules.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009
Selecting Regions of Interest for the Diagnosis of Alzheimer Using Brain SPECT Images.
Proceedings of the Advances in Neural Networks, 2009
Effective Detection of the Alzheimer Disease by Means of Coronal NMSE SVM Feature Classification.
Proceedings of the Advances in Neural Networks, 2009
Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers.
Proceedings of the Sixth International Symposium on Neural Networks, 2009
Independent Component Analysis of SPECT Images to Assist the Alzheimer's Disease Diagnosis.
Proceedings of the Sixth International Symposium on Neural Networks, 2009
Proceedings of the International Conference on Image Processing, 2009
2008
Computer Aided Diagnosis of Alzheimer Disease Using Support Vector Machines and Classification Trees.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
Early Detection of the Alzheimer Disease Combining Feature Selection and Kernel Machines.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008
Automatic Classification System for the Diagnosis of Alzheimer Disease Using Component-Based SVM Aggregations.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008