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Sandra Ortega-Martorell
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2020 – today
- 2024
- [j9]Nosa Aikodon
, Sandra Ortega-Martorell
Predicting Decompensation Risk in Intensive Care Unit Patients Using Machine Learning. Algorithms 17(1): 6 (2024) - 2023
- [j8]Bradley Walters, Sandra Ortega-Martorell
How to Open a Black Box Classifier for Tabular Data. Algorithms 16(4): 181 (2023) - 2022
- [j7]Sean Givnan, Carl Chalmers
Anomaly Detection Using Autoencoder Reconstruction upon Industrial Motors. Sensors 22(9): 3166 (2022) - [c19]Bradley Walters, Sandra Ortega-Martorell
Towards interpretable machine learning for clinical decision support. IJCNN 2022: 1-8 - 2021
- [j6]Raúl V. Casaña Eslava
Music genre profiling based on Fisher manifolds and Probabilistic Quantum Clustering. Neural Comput. Appl. 33(13): 7521-7539 (2021) - [c18]Bradley Walters, Sandra Ortega-Martorell
The partial response SVM. ESANN 2021 - 2020
- [j5]Raúl V. Casaña Eslava, Paulo J. G. Lisboa, Sandra Ortega-Martorell
Probabilistic quantum clustering. Knowl. Based Syst. 194: 105567 (2020) - [c17]Paulo J. G. Lisboa, Sandra Ortega-Martorell
Explaining the Neural Network: A Case Study to Model the Incidence of Cervical Cancer. IPMU (1) 2020: 585-598 - [c16]Paulo J. G. Lisboa, Sandra Ortega-Martorell
Efficient Estimation of General Additive Neural Networks: A Case Study for CTG Data. PKDD/ECML Workshops 2020: 432-446
2010 – 2019
- 2019
- [c15]Philippa Grace McCabe
Comparative Analysis for Computer-Based Decision Support: Case Study of Knee Osteoarthritis. IDEAL (2) 2019: 114-122 - [c14]Sabrina Marnell
A Comparative Assessment of Feed-Forward and Convolutional Neural Networks for the Classification of Prostate Lesions. IDEAL (2) 2019: 132-138 - [c13]Raúl V. Casaña Eslava, José David Martín-Guerrero, Sandra Ortega-Martorell
Scalable implementation of measuring distances in a Riemannian manifold based on the Fisher Information metric. IJCNN 2019: 1-7 - [c12]Philippa Grace McCabe
Benchmarking multi-task learning in predictive models for drug discovery. IJCNN 2019: 1-7 - [c11]Patrick Riley
A Voting Ensemble Method to Assist the Diagnosis of Prostate Cancer Using Multiparametric MRI. WSOM+ 2019: 294-303 - [c10]Meenal Srivastava, Iván Olier
Classifying and Grouping Mammography Images into Communities Using Fisher Information Networks to Assist the Diagnosis of Breast Cancer. WSOM+ 2019: 304-313 - [i2]Raúl V. Casaña Eslava, Paulo J. G. Lisboa, Sandra Ortega-Martorell, Ian H. Jarman, José David Martín-Guerrero:
A Probabilistic framework for Quantum Clustering. CoRR abs/1902.05578 (2019) - [i1]Paulo J. G. Lisboa, Sandra Ortega-Martorell, Sadie Cashman, Iván Olier:
The Partial Response Network. CoRR abs/1908.05978 (2019) - 2016
- [c9]Victor Mocioiu, Nuno Miguel Pedrosa de Barros, Sandra Ortega-Martorell, Johannes Slotboom, Urspeter Knecht, Carles Arús, Alfredo Vellido, Margarida Julià-Sapé:
A machine learning pipeline for supporting differentiation of glioblastomas from single brain metastases. ESANN 2016 - 2015
- [j4]Victor Mocioiu, Sandra Ortega-Martorell
From raw data to data-analysis for magnetic resonance spectroscopy - the missing link: jMRUI2XML. BMC Bioinform. 16: 378:1-378:11 (2015) - 2014
- [c8]Sandra Ortega-Martorell
Semi-supervised source extraction methodology for the nosological imaging of glioblastoma response to therapy. CIDM 2014: 93-98 - [c7]Sandra Ortega-Martorell
Automatic relevance source determination in human brain tumors using Bayesian NMF. CIDM 2014: 99-104 - 2013
- [j3]Albert Vilamala, Paulo J. G. Lisboa, Sandra Ortega-Martorell
Discriminant Convex Non-negative Matrix Factorization for the classification of human brain tumours. Pattern Recognit. Lett. 34(14): 1734-1747 (2013) - 2012
- [b1]Sandra Ortega-Martorell:
On the use of advanced pattern recognition techniques for the analysis of MRS and MRSI data in neuro-oncology. Autonomous University of Barcelona, Spain, 2012 - [j2]Sandra Ortega-Martorell
Non-negative matrix factorisation methods for the spectral decomposition of MRS data from human brain tumours. BMC Bioinform. 13: 38 (2012) - [c6]Héctor Ruiz, Sandra Ortega-Martorell, Ian H. Jarman, José David Martín-Guerrero, Paulo J. G. Lisboa:
Constructing similarity networks using the Fisher information metric. ESANN 2012 - [c5]Héctor Ruiz, Ian H. Jarman, José David Martín-Guerrero, Sandra Ortega-Martorell
Towards interpretable classifiers with blind signal separation. IJCNN 2012: 1-7 - 2011
- [c4]Paulo J. G. Lisboa, Ian H. Jarman, Terence A. Etchells, Simon J. Chambers, Davide Bacciu
Discovering Hidden Pathways in Bioinformatics. CIBB 2011: 49-60 - [c3]Sandra Ortega-Martorell
Brain Tumor Pathological Area Delimitation through Non-negative Matrix Factorization. ICDM Workshops 2011: 1058-1063 - [c2]Sandra Ortega-Martorell
Spectral decomposition methods for the analysis of MRS information from human brain tumors. IJCNN 2011: 3279-3284 - 2010
- [j1]Sandra Ortega-Martorell
SpectraClassifier 1.0: a user friendly, automated MRS-based classifier-development system. BMC Bioinform. 11: 106 (2010) - [c1]Sandra Ortega-Martorell, Iván Olier, Alfredo Vellido, Margarida Julià-Sapé, Carles Arús:
Spectral Prototype Extraction for dimensionality reduction in brain tumour diagnosis. ESANN 2010
Coauthor Index
aka: Paulo Lisboa
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