Sandra Ortega-Martorell

According to our database1, Sandra Ortega-Martorell authored at least 24 papers between 2010 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

On csauthors.net:

Bibliography

2020
Probabilistic quantum clustering.
Knowl. Based Syst., 2020

Efficient Estimation of General Additive Neural Networks: A Case Study for CTG Data.
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
The Partial Response Network.
CoRR, 2019

A Probabilistic framework for Quantum Clustering.
CoRR, 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

Benchmarking multi-task learning in predictive models for drug discovery.
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
Automatic relevance source determination in human brain tumors using Bayesian NMF.
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
Non-negative matrix factorisation methods for the spectral decomposition of MRS data from human brain tumours.
BMC Bioinform., 2012

Towards interpretable classifiers with blind signal separation.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Constructing similarity networks using the Fisher information metric.
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

Discovering Hidden Pathways in Bioinformatics.
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 ESANN 2010, 2010


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