Alfredo Vellido
Orcid: 0000-0002-9843-1911
According to our database1,
Alfredo Vellido
authored at least 135 papers
between 1997 and 2023.
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Bibliography
2023
Neurocomputing, 2023
Recognition of Conformational States of a G Protein-Coupled Receptor from Molecular Dynamic Simulations Using Sampling Techniques.
Proceedings of the Bioinformatics and Biomedical Engineering, 2023
2022
A self-organizing world: special issue of the 13th edition of the workshop on self-organizing maps and learning vector quantization, clustering and data visualization, WSOM + 2019.
Neural Comput. Appl., 2022
A Deep Learning-Based Method for Uncovering GPCR Ligand-Induced Conformational States Using Interpretability Techniques.
Proceedings of the Bioinformatics and Biomedical Engineering, 2022
NMF for Quality Control of Multi-modal Retinal Images for Diagnosis of Diabetes Mellitus and Diabetic Retinopathy.
Proceedings of the Bioinformatics and Biomedical Engineering, 2022
Long Short-Term Memory to Predict 3D Amino Acids Positions in GPCR Molecular Dynamics.
Proceedings of the Artificial Intelligence Research and Development, 2022
Molecular Dynamics forecasting of transmembrane Regions in GPRCs by Recurrent Neural Networks.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022
2021
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021
2020
The importance of interpretability and visualization in machine learning for applications in medicine and health care.
Neural Comput. Appl., 2020
Interpreting response to TMZ therapy in murine GL261 glioblastoma by combining Radiomics, Convex-NMF and feature selection in MRI/MRSI data analysis.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
Network Community Cluster-Based Analysis for the Identification of Potential Leukemia Drug Targets.
Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 2019
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019
2018
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
Proceedings of the Artificial Intelligence Research and Development, 2018
2017
Knowl. Inf. Syst., 2017
Proceedings of the 11th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2017
Proceedings of the Bioinformatics and Biomedical Engineering, 2017
Electricity Rate Planning for the Current Consumer Market Scenario Through Segmentation of Consumption Time Series.
Proceedings of the Progress in Artificial Intelligence, 2017
Proceedings of the Recent Advances in Artificial Intelligence Research and Development, 2017
2016
Visual Exploratory Assessment of Class C GPCR Extracellular Domains Discrimination Capabilities.
Proceedings of the 10th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2016
Proceedings of the Bioinformatics and Biomedical Engineering, 2016
Automated Quality Control for Proton Magnetic Resonance Spectroscopy Data Using Convex Non-negative Matrix Factorization.
Proceedings of the Bioinformatics and Biomedical Engineering, 2016
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016
Proceedings of the 24th European Symposium on Artificial Neural Networks, 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
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
A methodological approach for algorithmic composition systems' parameter spaces aesthetic exploration.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the Artificial Intelligence Research and Development, 2016
2015
The influence of alignment-free sequence representations on the semi-supervised classification of class C G protein-coupled receptors.
Medical Biol. Eng. Comput., 2015
Expert Syst. Appl., 2015
Label noise in subtype discrimination of class C G protein-coupled receptors: A systematic approach to the analysis of classification errors.
BMC Bioinform., 2015
A Weighted Cramér's V Index for the Assessment of Stability in the Fuzzy Clustering of Class C G Protein-Coupled Receptors.
Proceedings of the Bioinformatics and Biomedical Engineering, 2015
The extracellular N-terminal domain suffices to discriminate class C G Protein-Coupled Receptor subtypes from n-grams of their sequences.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
2014
Reducing the n-gram feature space of class C GPCRs to subtype-discriminating patterns.
J. Integr. Bioinform., 2014
Automated classification of brain tumours from short echo time in vivo MRS data using Gaussian Decomposition and Bayesian Neural Networks.
Expert Syst. Appl., 2014
Artif. Intell. Medicine, 2014
Probability Ridges and Distortion Flows: Visualizing Multivariate Time Series Using a Variational Bayesian Manifold Learning Method.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014
A MAP approach for convex non-negative matrix factorization in the diagnosis of brain tumors.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014
Proceedings of the 8th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2014
Exploratory Visualization of Misclassified GPCRs from their transformed unaligned sequences using manifold learning techniques.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2014
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
Proceedings of the Artificial Intelligence Research and Development, 2014
Visual interpretation of class C GPCR subtype overlapping from the nonlinear mapping of transformed primary sequences.
Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, 2014
2013
Discriminant Convex Non-negative Matrix Factorization for the classification of human brain tumours.
Pattern Recognit. Lett., 2013
Data Min. Knowl. Discov., 2013
Aprendizaje generativo de variedades para la exploración de datos parcialmente etiquetados.
Computación y Sistemas, 2013
Advances in Semi-Supervised Alignment-Free Classication of G Protein-Coupled Receptors.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2013
SVM-Based Classification of Class C GPCRs from Alignment-Free Physicochemical Transformations of Their Sequences.
Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2013, 2013
Telecommunications Customers Churn Monitoring using Flow Maps and Cartogram Visualization.
Proceedings of the GRAPP & IVAPP 2013: Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications, 2013
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
Proceedings of the Artificial Intelligence Research and Development, 2013
2012
Corrigendum to "Severe sepsis mortality prediction with logistic regression over latent factors" [Expert Systems with Applications 39 (2) (2012) 1937-1943].
Expert Syst. Appl., 2012
Expert Syst. Appl., 2012
Classification of human brain tumours from MRS data using Discrete Wavelet Transform and Bayesian Neural Networks.
Expert Syst. Appl., 2012
Non-negative matrix factorisation methods for the spectral decomposition of MRS data from human brain tumours.
BMC Bioinform., 2012
Classifying malignant brain tumours from <sup>1</sup>H-MRS data using Breadth Ensemble Learning.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
2011
A variational Bayesian approach for the robust analysis of the cortical silent period from EMG recordings of brain stroke patients.
Neurocomputing, 2011
Semi-Supervised Analysis of Human Brain Tumours from Partially Labeled MRS Information, Using Manifold Learning Models.
Int. J. Neural Syst., 2011
Comparative Diagnostic Accuracy of Linear and Nonlinear Feature Extraction Methods in a Neuro-oncology Problem.
Proceedings of the Pattern Recognition - Third Mexican Conference, 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
Seeing is believing: The importance of visualization in real-world machine learning applications.
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011
A probabilistic approach to the visual exploration of G Protein-Coupled Receptor sequences.
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
On the use of decision trees for ICU outcome prediction in sepsis patients treated with statins.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011
On the Use of Graphical Models to Study ICU Outcome Prediction in Septic Patients Treated with Statins.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2011
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2011
Complementing Kernel-Based Visualization of Protein Sequences with Their Phylogenetic Tree.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2011
On the Computation of the Geodesic Distance with an Application to Dimensionality Reduction in a Neuro-Oncology Problem.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2011
2010
Pattern Recognit. Lett., 2010
Feature and model selection with discriminatory visualization for diagnostic classification of brain tumors.
Neurocomputing, 2010
Spectral Prototype Extraction for dimensionality reduction in brain tumour diagnosis.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010
Segmentation of EMG time series using a variational Bayesian approach for the robust estimation of cortical silent periods.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010
2009
Outlier exploration and diagnostic classification of a multi-centre <sup>1</sup>H-MRS brain tumour database.
Neurocomputing, 2009
Feature Selection with Single-Layer Perceptrons for a Multicentre 1H-MRS Brain Tumour Database.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009
Semi-supervised Outcome Prediction for a Type of Human Brain Tumour Using Partially Labeled MRS Information.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009
Proceedings of the Artificial Intelligence Research and Development, 2009
2008
Neural Networks, 2008
J. Math. Model. Algorithms, 2008
Exploratory Characterization of Outliers in a Multi-centre 1H-MRS Brain Tumour Dataset.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008
The effect of noise and sample size on an unsupervised feature selection method for manifold learning.
Proceedings of the International Joint Conference on Neural Networks, 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
Proceedings of the International Joint Conference on Neural Networks, 2008
On the Improvement of the Mapping Trustworthiness and Continuity of a Manifold Learning Model.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2008
Classification, Dimensionality Reduction, and Maximally Discriminatory Visualization of a Multicentre 1H-MRS Database of Brain Tumors.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008
Assessment of the Effect of Noise on an Unsupervised Feature Selection Method for Generative Topographic Mapping.
Proceedings of the ICEIS 2008, 2008
Proceedings of the Advances in Artificial Intelligence, 2008
Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008
DSS-oriented exploration of a multi-centre magnetic resonance spectroscopy brain tumour dataset through visualization.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008
Two-Stage Clustering of a Human Brain Tumour Dataset using Manifold Learning Models.
Proceedings of the First International Conference on Biomedical Electronics and Devices, 2008
2007
Exploring the ecological status of human altered streams through Generative Topographic Mapping.
Environ. Model. Softw., 2007
Determination of feature relevance for the grouping of motor unit action potentials through a generative mixture model.
Biomed. Signal Process. Control., 2007
On the Influence of Class Information in the Two-Stage Clustering of a Human Brain Tumour Dataset.
Proceedings of the MICAI 2007: Advances in Artificial Intelligence, 2007
Proceedings of the Computational and Ambient Intelligence, 2007
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007
Proceedings of the Current Topics in Artificial Intelligence, 2007
2006
Neural Networks, 2006
Handling outliers in brain tumour MRS data analysis through robust topographic mapping.
Comput. Biol. Medicine, 2006
Proceedings of the STAIRS 2006, 2006
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006
Time Series Relevance Determination Through a Topology-Constrained Hidden Markov Model.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006
Assessment of an Unsupervised Feature Selection Method for Generative Topographic Mapping.
Proceedings of the Artificial Neural Networks, 2006
Learning what is important: feature selection and rule extraction in a virtual course.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006
2005
Comparative Assessment of the Robustness of Missing Data Imputation Through Generative Topographic Mapping.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005
Finding Relevant Features to Characterize Student Behavior on an e-Learning System.
Proceedings of The 2005 International Conference on Frontiers in Education: Computer Science and Computer Engineering, 2005
Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005
Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005
2003
IEEE Trans. Neural Networks, 2003
2002
Neural Networks for B2C E-Commerce Analysis: Some Elements of Best Practice.
Proceedings of the ICEIS 2002, 2002
2001
An Electronic Commerce Application of the Bayesian Framework for MLPs: The Effect of Marginalisation and ARD.
Neural Comput. Appl., 2001
2000
Neural Networks, 2000
Quantitative Characterization and Prediction of On-Line Purchasing Behavior: A Latent Variable Approach.
Int. J. Electron. Commer., 2000
The generative topographic mapping as a principal model for data visualization and market segmentation: an electronic commerce case.
Int. J. Comput. Syst. Signals, 2000
Proceedings of the MICAI 2000: Advances in Artificial Intelligence, 2000
Proceedings of the Artificial Neural Networks in Medicine and Biology, 2000
1997
Tissue characterisation with NMR spectroscopy: current state and future prospects for the application of neural networks analysis.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997