Alfredo Vellido

According to our database1, Alfredo Vellido authored at least 123 papers between 1997 and 2019.

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

Timeline

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Bibliography

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

2018
Bioinformatics and Medicine in the Era of Deep Learning.
CoRR, 2018

Big Data Analytics for Obesity Prediction.
Proceedings of the Artificial Intelligence Research and Development, 2018

2017
Intelligent data analysis approaches to churn as a business problem: a survey.
Knowl. Inf. Syst., 2017

Topological Sequence Segments Discriminate Between Class C GPCR Subtypes.
Proceedings of the 11th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2017

Machine Learning for Critical Care: An Overview and a Sepsis Case Study.
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

Discovering Subtype Specific n-Gram Motifs in Class C GPCR N-Termini.
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

Random Forests for Quality Control in G-Protein Coupled Receptor Databases.
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

Applying Conditional Independence Maps to Improve Sepsis Prognosis.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Bayesian semi non-negative matrix factorisation.
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

Physics and Machine Learning: Emerging Paradigms.
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

A decision making support tool: The resilience management fuzzy controller.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Computational Intelligence in Interior Design: State-of-the-Art and Outlook.
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.
Med. Biol. Engineering and Computing, 2015

Making nonlinear manifold learning models interpretable: The manifold grand tour.
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 Bioinformatics, 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. Integrative Bioinformatics, 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

Metrics for Probabilistic Geometries.
CoRR, 2014

Sepsis mortality prediction with the Quotient Basis Kernel.
Artificial Intelligence in 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

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

Finding Class C GPCR Subtype-Discriminating N-grams through Feature Selection.
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

Misclassification of class C G-protein-coupled receptors as a label noise problem.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Manifold learning visualization of Metabotropic Glutamate Receptors.
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 Recognition Letters, 2013

Cartogram visualization for nonlinear manifold learning models.
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

Robust cartogram visualization of outliers in manifold learning.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

A quotient basis kernel for the prediction of mortality in severe sepsis patients.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Visualizing pay-per-view television customers churn using cartograms and flow maps.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Cartogram-Based Data Visualization Using the Growing Hierarchical SOM.
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

Severe sepsis mortality prediction with logistic regression over latent factors.
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 Bioinformatics, 2012

Classifying malignant brain tumours from 1H-MRS data using Breadth Ensemble Learning.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

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

Making machine learning models interpretable.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

Cartogram representation of the batch-SOM magnification factor.
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 ESANN 2011, 2011

A probabilistic approach to the visual exploration of G Protein-Coupled Receptor sequences.
Proceedings of the ESANN 2011, 2011

Severe sepsis mortality prediction with relevance vector machines.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Brain tumour classification using Gaussian decomposition and neural networks.
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

Discovering Hidden Pathways in Bioinformatics.
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
Semi-supervised geodesic Generative Topographic Mapping.
Pattern Recognition Letters, 2010

Feature and model selection with discriminatory visualization for diagnostic classification of brain tumors.
Neurocomputing, 2010

Data Mining in Cancer Research [Application Notes].
IEEE Comp. Int. Mag., 2010

Spectral Prototype Extraction for dimensionality reduction in brain tumour diagnosis.
Proceedings of the ESANN 2010, 2010

Kernel generative topographic mapping.
Proceedings of the ESANN 2010, 2010

Segmentation of EMG time series using a variational Bayesian approach for the robust estimation of cortical silent periods.
Proceedings of the ESANN 2010, 2010

Computational Intelligence in biomedicine: Some contributions.
Proceedings of the ESANN 2010, 2010

2009
Outlier exploration and diagnostic classification of a multi-centre 1H-MRS brain tumour database.
Neurocomputing, 2009

Advances in machine learning and computational intelligence.
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

Comparative Evaluation of Semi-supervised Geodesic GTM.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

Frequency Selection for the Diagnostic Characterization of Human Brain Tumours.
Proceedings of the Artificial Intelligence Research and Development, 2009

2008
Advances in clustering and visualization of time series using GTM through time.
Neural Networks, 2008

Variational Bayesian Generative Topographic Mapping.
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

Rule-Based Assistance to Brain Tumour Diagnosis Using LR-FIR.
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

On the benefits for model regularization of a variational formulation of GTM.
Proceedings of the International Joint Conference on Neural Networks, 2008

A variational formulation for GTM through time.
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

Geodesic Generative Topographic Mapping.
Proceedings of the Advances in Artificial Intelligence, 2008

Unfolding the Manifold in Generative Topographic Mapping.
Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008

Machine learning in cancer research: implications for personalised medicine.
Proceedings of the ESANN 2008, 2008

DSS-oriented exploration of a multi-centre magnetic resonance spectroscopy brain tumour dataset through visualization.
Proceedings of the ESANN 2008, 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.
Environmental Modelling and Software, 2007

Determination of feature relevance for the grouping of motor unit action potentials through a generative mixture model.
Biomed. Signal Proc. and 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

Neural Networks and Other Machine Learning Methods in Cancer Research.
Proceedings of the Computational and Ambient Intelligence, 2007

Variational GTM.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

Identification of churn routes in the Brazilian telecommunications market.
Proceedings of the ESANN 2007, 2007

On the Initialization of Two-Stage Clustering with Class-GTM.
Proceedings of the Current Topics in Artificial Intelligence, 2007

2006
Missing data imputation through GTM as a mixture of t-distributions.
Neural Networks, 2006

Robust analysis of MRS brain tumour data using t-GTM.
Neurocomputing, 2006

Handling outliers in brain tumour MRS data analysis through robust topographic mapping.
Comp. in Bio. and Med., 2006

On the improvement of brain tumour data clustering using class information.
Proceedings of the STAIRS 2006, 2006

Describing Customer Loyalty to Spanish Petrol Stations Through Rule Extraction.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Neural Network Models for Language Acquisition: A Brief Survey.
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 ESANN 2006, 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

Handling outliers and missing data in brain tumour clinical assessment using t-GTM.
Proceedings of the ESANN 2005, 2005

Functional topographic mapping for robust handling of outliers in brain tumour data.
Proceedings of the ESANN 2005, 2005

2003
Selective smoothing of the generative topographic mapping.
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 Computing and Applications, 2001

2000
Bias reduction in skewed binary classification with Bayesian neural networks.
Neural Networks, 2000

Quantitative Characterization and Prediction of On-Line Purchasing Behavior: A Latent Variable Approach.
Int. J. Electronic Commerce, 2000

The generative topographic mapping as a principal model for data visualization and market segmentation: an electronic commerce case.
Int. J. Comput. Syst. Signal, 2000

Segmenting the e-Commerce Market Using the Generative Topographic Mapping.
Proceedings of the MICAI 2000: Advances in Artificial Intelligence, 2000

Outstanding Issues for Clinical Decision Support with Neural Networks.
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


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