Sandra Ortega-Martorell
Orcid: 0000-0001-9927-3209
According to our database1,
Sandra Ortega-Martorell
authored at least 31 papers
between 2010 and 2024.
Collaborative distances:
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Bibliography
2024
Predicting Decompensation Risk in Intensive Care Unit Patients Using Machine Learning.
Algorithms, 2024
2023
2022
Sensors, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
2021
Music genre profiling based on Fisher manifolds and Probabilistic Quantum Clustering.
Neural Comput. Appl., 2021
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021
2020
Proceedings of the ECML PKDD 2020 Workshops, 2020
Explaining the Neural Network: A Case Study to Model the Incidence of Cervical Cancer.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020
2019
Classifying and Grouping Mammography Images into Communities Using Fisher Information Networks to Assist the Diagnosis of Breast Cancer.
Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 2019
A Voting Ensemble Method to Assist the Diagnosis of Prostate Cancer Using Multiparametric MRI.
Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Scalable implementation of measuring distances in a Riemannian manifold based on the Fisher Information metric.
Proceedings of the International Joint Conference on Neural Networks, 2019
Comparative Analysis for Computer-Based Decision Support: Case Study of Knee Osteoarthritis.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019
A Comparative Assessment of Feed-Forward and Convolutional Neural Networks for the Classification of Prostate Lesions.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019
2016
A machine learning pipeline for supporting differentiation of glioblastomas from single brain metastases.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
2015
From raw data to data-analysis for magnetic resonance spectroscopy - the missing link: jMRUI2XML.
BMC Bioinform., 2015
2014
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014
Semi-supervised source extraction methodology for the nosological imaging of glioblastoma response to therapy.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014
2013
Discriminant Convex Non-negative Matrix Factorization for the classification of human brain tumours.
Pattern Recognit. Lett., 2013
2012
On the use of advanced pattern recognition techniques for the analysis of MRS and MRSI data in neuro-oncology.
PhD thesis, 2012
Non-negative matrix factorisation methods for the spectral decomposition of MRS data from human brain tumours.
BMC Bioinform., 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
2011
Spectral decomposition methods for the analysis of MRS information from human brain tumors.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Brain Tumor Pathological Area Delimitation through Non-negative Matrix Factorization.
Proceedings of the Data Mining Workshops (ICDMW), 2011
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2011
2010
SpectraClassifier 1.0: a user friendly, automated MRS-based classifier-development system.
BMC Bioinform., 2010
Spectral Prototype Extraction for dimensionality reduction in brain tumour diagnosis.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010