Tissue characterisation with NMR spectroscopy: current state and future prospects for the application of neural networks analysis. - Paulo J. G. Lisboa; Neil M. Branston; Wael El-Deredy; Alfredo Vellido (ICNN, 1997)

Outstanding Issues for Clinical Decision Support with Neural Networks. - Paulo J. G. Lisboa; Alfredo Vellido; H. Wong (ANNIMAB, 2000)

Segmenting the e-Commerce Market Using the Generative Topographic Mapping. - Alfredo Vellido; Paulo J. G. Lisboa; Karon Meehan (MICAI, 2000)

The generative topographic mapping as a principal model for data visualization and market segmentation: an electronic commerce case. - Alfredo Vellido; Paulo J. G. Lisboa; Karon Meehan (Int. J. Comput. Syst. Signals, 2000)

Quantitative Characterization and Prediction of On-Line Purchasing Behavior: A Latent Variable Approach. - Alfredo Vellido; Paulo J. G. Lisboa; Karon Meehan (Int. J. Electron. Commer., 2000)

Bias reduction in skewed binary classification with Bayesian neural networks. - Paulo J. G. Lisboa; Alfredo Vellido; H. Wong (Neural Networks, 2000)

An Electronic Commerce Application of the Bayesian Framework for MLPs: The Effect of Marginalisation and ARD. - Alfredo Vellido; Paulo J. G. Lisboa (Neural Comput. Appl., 2001)

Neural Networks for B2C E-Commerce Analysis: Some Elements of Best Practice. - Alfredo Vellido (ICEIS, 2002)

Selective smoothing of the generative topographic mapping. - Alfredo Vellido; Wael El-Deredy; Paulo J. G. Lisboa (IEEE Trans. Neural Networks, 2003)

Functional topographic mapping for robust handling of outliers in brain tumour data. - Alfredo Vellido; Paulo J. G. Lisboa (ESANN, 2005)

Handling outliers and missing data in brain tumour clinical assessment using t-GTM. - Alfredo Vellido; Paulo J. G. Lisboa; Dolores Vicente (ESANN, 2005)

Finding Relevant Features to Characterize Student Behavior on an e-Learning System. - Félix Castro; Alfredo Vellido; Àngela Nebot; Julià Minguillón (FECS, 2005)

Comparative Assessment of the Robustness of Missing Data Imputation Through Generative Topographic Mapping. - Iván Olier; Alfredo Vellido (IWANN, 2005)

Learning what is important: feature selection and rule extraction in a virtual course. - Terence A. Etchells; Àngela Nebot; Alfredo Vellido; Paulo J. G. Lisboa; Francisco Mugica (ESANN, 2006)

Assessment of an Unsupervised Feature Selection Method for Generative Topographic Mapping. - Alfredo Vellido (ICANN (2), 2006)

Time Series Relevance Determination Through a Topology-Constrained Hidden Markov Model. - Iván Olier; Alfredo Vellido (IDEAL, 2006)

Neural Network Models for Language Acquisition: A Brief Survey. - Jordi Poveda; Alfredo Vellido (IDEAL, 2006)

Describing Customer Loyalty to Spanish Petrol Stations Through Rule Extraction. - Alfredo Vellido; Terence A. Etchells; David L. García; Àngela Nebot (IDEAL, 2006)

On the improvement of brain tumour data clustering using class information. - Raúl Cruz-Barbosa; Alfredo Vellido (STAIRS, 2006)

Handling outliers in brain tumour MRS data analysis through robust topographic mapping. - Alfredo Vellido; Paulo J. G. Lisboa (Comput. Biol. Medicine, 2006)

Robust analysis of MRS brain tumour data using t-GTM. - Alfredo Vellido; Paulo J. G. Lisboa; Dolores Vicente (Neurocomputing, 2006)

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

On the Initialization of Two-Stage Clustering with Class-GTM. - Raúl Cruz-Barbosa; Alfredo Vellido (CAEPIA, 2007)

Identification of churn routes in the Brazilian telecommunications market. - David L. García; Alfredo Vellido; Àngela Nebot (ESANN, 2007)

Variational GTM. - Iván Olier; Alfredo Vellido (IDEAL, 2007)

Neural Networks and Other Machine Learning Methods in Cancer Research. - Alfredo Vellido; Paulo J. G. Lisboa (IWANN, 2007)

On the Influence of Class Information in the Two-Stage Clustering of a Human Brain Tumour Dataset. - Raúl Cruz-Barbosa; Alfredo Vellido (MICAI, 2007)

Determination of feature relevance for the grouping of motor unit action potentials through a generative mixture model. - Alfredo Vellido; Adriano O. Andrade (Biomed. Signal Process. Control., 2007)

Exploring the ecological status of human altered streams through Generative Topographic Mapping. - Alfredo Vellido; Eugenia Martí; Joaquim Comas; Ignasi Rodríguez-Roda; Francesc Sabater (Environ. Model. Softw., 2007)

Two-Stage Clustering of a Human Brain Tumour Dataset using Manifold Learning Models. - Raúl Cruz-Barbosa; Alfredo Vellido (BIOSIGNALS (2), 2008)

DSS-oriented exploration of a multi-centre magnetic resonance spectroscopy brain tumour dataset through visualization. - Enrique Romero; Margarida Julià-Sapé; Alfredo Vellido (ESANN, 2008)

Machine learning in cancer research: implications for personalised medicine. - Alfredo Vellido; Elia Biganzoli; Paulo J. G. Lisboa (ESANN, 2008)

Unfolding the Manifold in Generative Topographic Mapping. - Raúl Cruz-Barbosa; Alfredo Vellido (HAIS, 2008)

Geodesic Generative Topographic Mapping. - Raúl Cruz-Barbosa; Alfredo Vellido (IBERAMIA, 2008)

Assessment of the Effect of Noise on an Unsupervised Feature Selection Method for Generative Topographic Mapping. - Alfredo Vellido; Jorge S. Velazco (ICEIS (2), 2008)

Classification, Dimensionality Reduction, and Maximally Discriminatory Visualization of a Multicentre 1H-MRS Database of Brain Tumors. - Paulo J. G. Lisboa; Enrique Romero; Alfredo Vellido; Margarida Julià-Sapé; Carles Arús (ICMLA, 2008)

On the Improvement of the Mapping Trustworthiness and Continuity of a Manifold Learning Model. - Raúl Cruz-Barbosa; Alfredo Vellido (IDEAL, 2008)

A variational formulation for GTM through time. - Iván Olier; Alfredo Vellido (IJCNN, 2008)

On the benefits for model regularization of a variational formulation of GTM. - Iván Olier; Alfredo Vellido (IJCNN, 2008)

The effect of noise and sample size on an unsupervised feature selection method for manifold learning. - Alfredo Vellido; Jorge S. Velazco (IJCNN, 2008)

Rule-Based Assistance to Brain Tumour Diagnosis Using LR-FIR. - Àngela Nebot; Félix Castro; Alfredo Vellido; Margarida Julià-Sapé; Carles Arús (KES (2), 2008)

Exploratory Characterization of Outliers in a Multi-centre 1H-MRS Brain Tumour Dataset. - Alfredo Vellido; Margarida Julià-Sapé; Enrique Romero; Carles Arús (KES (2), 2008)

Variational Bayesian Generative Topographic Mapping. - Iván Olier; Alfredo Vellido (J. Math. Model. Algorithms, 2008)

Advances in clustering and visualization of time series using GTM through time. - Iván Olier; Alfredo Vellido (Neural Networks, 2008)

Frequency Selection for the Diagnostic Characterization of Human Brain Tumours. - Carlos Arizmendi; Alfredo Vellido; Enrique Romero (CCIA, 2009)

Comparative Evaluation of Semi-supervised Geodesic GTM. - Raúl Cruz-Barbosa; Alfredo Vellido (HAIS, 2009)

Semi-supervised Outcome Prediction for a Type of Human Brain Tumour Using Partially Labeled MRS Information. - Raúl Cruz-Barbosa; Alfredo Vellido (IDEAL, 2009)

Feature Selection with Single-Layer Perceptrons for a Multicentre 1H-MRS Brain Tumour Database. - Enrique Romero; Alfredo Vellido; Josep M. Sopena (IWANN (1), 2009)

Advances in machine learning and computational intelligence. - Frank-Michael Schleif; Michael Biehl; Alfredo Vellido (Neurocomputing, 2009)

Outlier exploration and diagnostic classification of a multi-centre 1H-MRS brain tumour database. - Alfredo Vellido; Enrique Romero; Félix Fernando González-Navarro; Lluís A. Belanche Muñoz; Margarida Julià-Sapé; Carles Arús (Neurocomputing, 2009)

Computational Intelligence in biomedicine: Some contributions. - Paulo J. G. Lisboa; Alfredo Vellido; José David Martín-Guerrero (ESANN, 2010)

Segmentation of EMG time series using a variational Bayesian approach for the robust estimation of cortical silent periods. - Iván Olier; Julià Amengual; Alfredo Vellido (ESANN, 2010)

Kernel generative topographic mapping. - Iván Olier; Alfredo Vellido; Jesús Giraldo (ESANN, 2010)

Spectral Prototype Extraction for dimensionality reduction in brain tumour diagnosis. - Sandra Ortega-Martorell; Iván Olier; Alfredo Vellido; Margarida Julià-Sapé; Carles Arús (ESANN, 2010)

Data Mining in Cancer Research [Application Notes]. - Paulo J. G. Lisboa; Alfredo Vellido; Roberto Tagliaferri; Francesco Napolitano; Michele Ceccarelli; José David Martín-Guerrero; Elia Biganzoli (IEEE Comput. Intell. Mag., 2010)

Feature and model selection with discriminatory visualization for diagnostic classification of brain tumors. - Félix Fernando González-Navarro; Lluís A. Belanche Muñoz; Enrique Romero; Alfredo Vellido; Margarida Julià-Sapé; Carles Arús (Neurocomputing, 2010)

Semi-supervised geodesic Generative Topographic Mapping. - Raúl Cruz-Barbosa; Alfredo Vellido (Pattern Recognit. Lett., 2010)

On the Computation of the Geodesic Distance with an Application to Dimensionality Reduction in a Neuro-Oncology Problem. - Raúl Cruz-Barbosa; David Bautista-Villavicencio; Alfredo Vellido (CIARP, 2011)

Complementing Kernel-Based Visualization of Protein Sequences with Their Phylogenetic Tree. - Martha Ivón Cárdenas; Alfredo Vellido; Iván Olier; Xavier Rovira; Jesús Giraldo (CIBB, 2011)

Discovering Hidden Pathways in Bioinformatics. - Paulo J. G. Lisboa; Ian H. Jarman; Terence A. Etchells; Simon J. Chambers; Davide Bacciu; Joe Whittaker; Jonathan M. Garibaldi; Sandra Ortega-Martorell; Alfredo Vellido; Ian O. Ellis (CIBB, 2011)

On the Use of Graphical Models to Study ICU Outcome Prediction in Septic Patients Treated with Statins. - Vicent J. Ribas; Jesús Caballero Lopez; Anna Sáez de Tejada; Juan Carlos Ruiz-Rodríguez; Adolfo Ruiz-Sanmartin; Jordi Rello; Alfredo Vellido (CIBB, 2011)

On the use of decision trees for ICU outcome prediction in sepsis patients treated with statins. - Vicent J. Ribas; Jesús Caballero Lopez; Juan Carlos Ruiz-Rodríguez; Adolf Ruiz-Sanmartin; Jordi Rello; Alfredo Vellido (CIDM, 2011)

Brain tumour classification using Gaussian decomposition and neural networks. - Carlos Arizmendi; Daniel A. Sierra; Alfredo Vellido; Enrique Romero (EMBC, 2011)

Severe sepsis mortality prediction with relevance vector machines. - Vicent J. Ribas; Jesús Caballero Lopez; Adolf Ruiz-Sanmartin; Juan Carlos Ruiz-Rodríguez; Jordi Rello; Anna Wojdel; Alfredo Vellido (EMBC, 2011)

A probabilistic approach to the visual exploration of G Protein-Coupled Receptor sequences. - Alfredo Vellido; Martha Ivón Cárdenas; Iván Olier; Xavier Rovira; Jesús Giraldo (ESANN, 2011)

Seeing is believing: The importance of visualization in real-world machine learning applications. - Alfredo Vellido; José David Martín-Guerrero; Fabrice Rossi; Paulo J. G. Lisboa (ESANN, 2011)

Brain Tumor Pathological Area Delimitation through Non-negative Matrix Factorization. - Sandra Ortega-Martorell; Paulo J. G. Lisboa; Alfredo Vellido; Rui V. Simões; Margarida Julià-Sapé; Carles Arús (ICDM Workshops, 2011)

Spectral decomposition methods for the analysis of MRS information from human brain tumors. - Sandra Ortega-Martorell; Alfredo Vellido; Paulo J. G. Lisboa; Margarida Julià-Sapé; Carles Arús (IJCNN, 2011)

Comparative Diagnostic Accuracy of Linear and Nonlinear Feature Extraction Methods in a Neuro-oncology Problem. - Raúl Cruz-Barbosa; David Bautista-Villavicencio; Alfredo Vellido (MCPR, 2011)

Semi-Supervised Analysis of Human Brain Tumours from Partially Labeled MRS Information, Using Manifold Learning Models. - Raúl Cruz-Barbosa; Alfredo Vellido (Int. J. Neural Syst., 2011)

A variational Bayesian approach for the robust analysis of the cortical silent period from EMG recordings of brain stroke patients. - Iván Olier; Julià Amengual; Alfredo Vellido (Neurocomputing, 2011)

Cartogram representation of the batch-SOM magnification factor. - Alessandra Tosi; Alfredo Vellido (ESANN, 2012)

Making machine learning models interpretable. - Alfredo Vellido; José David Martín-Guerrero; Paulo J. G. Lisboa (ESANN, 2012)

Towards interpretable classifiers with blind signal separation. - Héctor Ruiz; Ian H. Jarman; José David Martín-Guerrero; Sandra Ortega-Martorell; Alfredo Vellido; Enrique Romero; Paulo J. G. Lisboa (IJCNN, 2012)

Classifying malignant brain tumours from 1H-MRS data using Breadth Ensemble Learning. - Albert Vilamala; Lluís A. Belanche Muñoz; Alfredo Vellido (IJCNN, 2012)

Non-negative matrix factorisation methods for the spectral decomposition of MRS data from human brain tumours. - Sandra Ortega-Martorell; Paulo J. G. Lisboa; Alfredo Vellido; Margarida Julià-Sapé; Carles Arús (BMC Bioinform., 2012)

Classification of human brain tumours from MRS data using Discrete Wavelet Transform and Bayesian Neural Networks. - Carlos Arizmendi; Alfredo Vellido; Enrique Romero (Expert Syst. Appl., 2012)

Severe sepsis mortality prediction with logistic regression over latent factors. - Vicent J. Ribas; Alfredo Vellido; Juan Carlos Ruiz-Rodríguez; Jordi Rello (Expert Syst. Appl., 2012)

Corrigendum to "Severe sepsis mortality prediction with logistic regression over latent factors" [Expert Systems with Applications 39 (2) (2012) 1937-1943]. - Vicent J. Ribas; Alfredo Vellido; Juan Carlos Ruiz-Rodríguez; Jordi Rello (Expert Syst. Appl., 2012)

Cartogram-Based Data Visualization Using the Growing Hierarchical SOM. - Àngela Martín; Alfredo Vellido (CCIA, 2013)

Visualizing pay-per-view television customers churn using cartograms and flow maps. - David L. García; Àngela Nebot; Alfredo Vellido (ESANN, 2013)

A quotient basis kernel for the prediction of mortality in severe sepsis patients. - Vicent J. Ribas Ripoll; Enrique Romero; Juan Carlos Ruiz-Rodríguez; Alfredo Vellido (ESANN, 2013)

Robust cartogram visualization of outliers in manifold learning. - Alessandra Tosi; Alfredo Vellido (ESANN, 2013)

Telecommunications Customers Churn Monitoring using Flow Maps and Cartogram Visualization. - David L. García; Àngela Nebot; Alfredo Vellido (GRAPP/IVAPP, 2013)

SVM-Based Classification of Class C GPCRs from Alignment-Free Physicochemical Transformations of Their Sequences. - Caroline König; Raúl Cruz-Barbosa; René Alquézar; Alfredo Vellido (ICIAP Workshops, 2013)

Advances in Semi-Supervised Alignment-Free Classication of G Protein-Coupled Receptors. - Raúl Cruz-Barbosa; Alfredo Vellido; Jesús Giraldo (IWBBIO, 2013)

Aprendizaje generativo de variedades para la exploración de datos parcialmente etiquetados. - Raúl Cruz-Barbosa; Alfredo Vellido (Computación y Sistemas, 2013)

Cartogram visualization for nonlinear manifold learning models. - Alfredo Vellido; David L. García; Àngela Nebot (Data Min. Knowl. Discov., 2013)

Discriminant Convex Non-negative Matrix Factorization for the classification of human brain tumours. - Albert Vilamala; Paulo J. G. Lisboa; Sandra Ortega-Martorell; Alfredo Vellido (Pattern Recognit. Lett., 2013)

Visual interpretation of class C GPCR subtype overlapping from the nonlinear mapping of transformed primary sequences. - Martha Ivón Cárdenas; Alfredo Vellido; Jesús Giraldo (BHI, 2014)

Manifold learning visualization of Metabotropic Glutamate Receptors. - Martha Ivón Cárdenas; Alfredo Vellido; Jesús Giraldo (CCIA, 2014)

Misclassification of class C G-protein-coupled receptors as a label noise problem. - Caroline König; Alfredo Vellido Alcacena; René Alquézar Mancho; Jesús Giraldo (ESANN, 2014)

Exploratory Visualization of Misclassified GPCRs from their transformed unaligned sequences using manifold learning techniques. - Martha Ivón Cárdenas; Alfredo Vellido; Caroline König; René Alquézar; Jesús Giraldo (IWBBIO, 2014)

Finding Class C GPCR Subtype-Discriminating N-grams through Feature Selection. - Caroline König; René Alquézar; Alfredo Vellido; Jesús Giraldo (PACBB, 2014)

A MAP approach for convex non-negative matrix factorization in the diagnosis of brain tumors. - Albert Vilamala; Lluís A. Belanche Muñoz; Alfredo Vellido (PRNI, 2014)

Metrics for Probabilistic Geometries. - Alessandra Tosi; Søren Hauberg; Alfredo Vellido; Neil D. Lawrence (UAI, 2014)

Probability Ridges and Distortion Flows: Visualizing Multivariate Time Series Using a Variational Bayesian Manifold Learning Method. - Alessandra Tosi; Iván Olier; Alfredo Vellido (WSOM, 2014)

Sepsis mortality prediction with the Quotient Basis Kernel. - Vicent J. Ribas Ripoll; Alfredo Vellido; Enrique Romero; Juan Carlos Ruiz-Rodríguez (Artif. Intell. Medicine, 2014)

Automated classification of brain tumours from short echo time in vivo MRS data using Gaussian Decomposition and Bayesian Neural Networks. - Carlos Arizmendi; Daniel A. Sierra; Alfredo Vellido; Enrique Romero (Expert Syst. Appl., 2014)

Reducing the n-gram feature space of class C GPCRs to subtype-discriminating patterns. - Caroline König; René Alquézar; Alfredo Vellido; Jesús Giraldo (J. Integr. Bioinform., 2014)

The extracellular N-terminal domain suffices to discriminate class C G Protein-Coupled Receptor subtypes from n-grams of their sequences. - Caroline König; René Alquézar; Alfredo Vellido; Jesús Giraldo (IJCNN, 2015)

A Weighted Cramér's V Index for the Assessment of Stability in the Fuzzy Clustering of Class C G Protein-Coupled Receptors. - Alfredo Vellido; Christiana Halka; Àngela Nebot (IWBBIO (1), 2015)

Label noise in subtype discrimination of class C G protein-coupled receptors: A systematic approach to the analysis of classification errors. - Caroline König; Martha Ivón Cárdenas; Jesús Giraldo; René Alquézar; Alfredo Vellido (BMC Bioinform., 2015)

Making nonlinear manifold learning models interpretable: The manifold grand tour. - Paulo J. G. Lisboa; José David Martín-Guerrero; Alfredo Vellido (Expert Syst. Appl., 2015)

The influence of alignment-free sequence representations on the semi-supervised classification of class C G protein-coupled receptors. - Raúl Cruz-Barbosa; Alfredo Vellido; Jesús Giraldo (Medical Biol. Eng. Comput., 2015)

Computational Intelligence in Interior Design: State-of-the-Art and Outlook. - Emil Racec; Stefania Budulan; Alfredo Vellido (CCIA, 2016)

A decision making support tool: The resilience management fuzzy controller. - J. Rubén González Cárdenas; Àngela Nebot; Francisco Mugica; Alfredo Vellido (CEC, 2016)

A methodological approach for algorithmic composition systems' parameter spaces aesthetic exploration. - Iván Paz Ortiz; Àngela Nebot; Enrique Romero; Francisco Mugica; Alfredo Vellido (CEC, 2016)

Physics and Machine Learning: Emerging Paradigms. - José David Martín-Guerrero; Paulo J. G. Lisboa; Alfredo Vellido (ESANN, 2016)

A machine learning pipeline for supporting differentiation of glioblastomas from single brain metastases. - Victor Mocioiu; Nuno Miguel Pedrosa de Barros; Sandra Ortega-Martorell; Johannes Slotboom; Urspeter Knecht; Carles Arús; Alfredo Vellido; Margarida Julià-Sapé (ESANN, 2016)

Bayesian semi non-negative matrix factorisation. - Albert Vilamala; Alfredo Vellido; Lluís A. Belanche (ESANN, 2016)

Applying Conditional Independence Maps to Improve Sepsis Prognosis. - Carles Morales; Vicent J. Ribas; Alfredo Vellido (ICDM Workshops, 2016)

Automated Quality Control for Proton Magnetic Resonance Spectroscopy Data Using Convex Non-negative Matrix Factorization. - Victor Mocioiu; Sreenath P. Kyathanahally; Carles Arús; Alfredo Vellido; Margarida Julià-Sapé (IWBBIO, 2016)

Random Forests for Quality Control in G-Protein Coupled Receptor Databases. - Aleksei Shkurin; Alfredo Vellido (IWBBIO, 2016)

Visual Exploratory Assessment of Class C GPCR Extracellular Domains Discrimination Capabilities. - Martha Ivón Cárdenas; Alfredo Vellido; Jesús Giraldo (PACBB, 2016)

Discovering Subtype Specific n-Gram Motifs in Class C GPCR N-Termini. - Caroline König; René Alquézar; Alfredo Vellido; Jesús Giraldo (CCIA, 2017)

Electricity Rate Planning for the Current Consumer Market Scenario Through Segmentation of Consumption Time Series. - Alfredo Vellido; David L. García (EPIA, 2017)

Machine Learning for Critical Care: An Overview and a Sepsis Case Study. - Alfredo Vellido; Vicent J. Ribas; Carles Morales; Adolfo Ruiz-Sanmartin; Juan Carlos Ruiz-Rodríguez (IWBBIO (1), 2017)

Topological Sequence Segments Discriminate Between Class C GPCR Subtypes. - Caroline König; René Alquézar; Alfredo Vellido; Jesús Giraldo (PACBB, 2017)

Intelligent data analysis approaches to churn as a business problem: a survey. - David L. García; Àngela Nebot; Alfredo Vellido (Knowl. Inf. Syst., 2017)

Big Data Analytics for Obesity Prediction. - Ahsan Bilal; Alfredo Vellido; Vicent J. Ribas (CCIA, 2018)

Bioinformatics and medicine in the era of deep learning. - Davide Bacciu; Paulo Lisboa; José D. Martín; Ruxandra Stoean; Alfredo Vellido (ESANN, 2018)

Societal Issues in Machine Learning: When Learning from Data is Not Enough. - Davide Bacciu; Battista Biggio; Paulo Lisboa; José D. Martín; Luca Oneto; Alfredo Vellido (ESANN, 2019)

Network Community Cluster-Based Analysis for the Identification of Potential Leukemia Drug Targets. - Adrián Bazaga; Alfredo Vellido (WSOM+, 2019)

Interpreting response to TMZ therapy in murine GL261 glioblastoma by combining Radiomics, Convex-NMF and feature selection in MRI/MRSI data analysis. - Luis Miguel Núñez; Margarida Julià-Sapé; Enrique Romero; Carles Arús; Alfredo Vellido; Ana-Paula Candiota (IJCNN, 2020)

The importance of interpretability and visualization in machine learning for applications in medicine and health care. - Alfredo Vellido (Neural Comput. Appl., 2020)

The Coming of Age of Interpretable and Explainable Machine Learning Models. - Paulo Lisboa; Sascha Saralajew; Alfredo Vellido; Thomas Villmann (ESANN, 2021)

Visual Mining of Industrial Gas Turbines Sensor Data as an Industry 4.0 Application. - Angel X. Astudillo Aguilar; Stefano Rosso; Karina Gibert; Alfredo Vellido (SOCO, 2021)

Molecular Dynamics forecasting of transmembrane Regions in GPRCs by Recurrent Neural Networks. - Juan Manuel López-Correa; Caroline König; Alfredo Vellido (BHI, 2022)

Long Short-Term Memory to Predict 3D Amino Acids Positions in GPCR Molecular Dynamics. - Juan Manuel López-Correa; Caroline König; Alfredo Vellido (CCIA, 2022)

NMF for Quality Control of Multi-modal Retinal Images for Diagnosis of Diabetes Mellitus and Diabetic Retinopathy. - Anass Benali; Laura Carrera; Ann Christin; Ruben Martín; Anibal Alé; Marina Barraso; Carolina Bernal; Sara Marín; Silvia Feu; Josep Rosinés; Teresa Hernandez; Irene Vilà; et al. (IWBBIO (1), 2022)

A Deep Learning-Based Method for Uncovering GPCR Ligand-Induced Conformational States Using Interpretability Techniques. - Mario A. Gutierrez-Mondragon; Caroline König; Alfredo Vellido (IWBBIO (2), 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. - Alfredo Vellido; Cecilio Angulo; Karina Gibert (Neural Comput. Appl., 2022)

Recognition of Conformational States of a G Protein-Coupled Receptor from Molecular Dynamic Simulations Using Sampling Techniques. - Mario Alberto Gutiérrez-Mondragón; Caroline König; Alfredo Vellido (IWBBIO (1), 2023)

The coming of age of interpretable and explainable machine learning models. - Paulo J. G. Lisboa; Sascha Saralajew; Alfredo Vellido; Ricardo Fernández-Domenech; Thomas Villmann (Neurocomputing, 2023)

Group Discovery in a Clinical Database of Patients with Psychosis Who Have Undergone Metacognitive Training. - Caroline König; Wafaa Guendouz; Pedro Copado; Cecilio Angulo; Àngela Nebot; Susana Ochoa; Maria Lamarca; Rabea Fischer; Fabrice Berna; Lucasz Gaweda; Vanessa Acuña; Alfredo Vellido (CIBB, 2024)

Exploring Data Distributions in Machine Learning Models with SOMs. - Caroline König; Alfredo Vellido (WSOM+, 2024)

Understanding predictions of drug profiles using explainable machine learning models. - Caroline König; Alfredo Vellido (BioData Min., 2024)

Improving Diabetic Retinopathy Classification Using Class Imbalance Correction Techniques. - Caroline König; Pedro Copado; Enrique Romero; Javier Zarranz-Ventura; Alfredo Vellido (CBMS, 2025)

Machine Learning Prediction of Cardiovascular Risk in Type 1 Diabetes Mellitus Using Radiomics Features from Multimodal Retinal Images. - Ariadna Tohà-Dalmau; Josep Rosinés-Fonoll; Enrique Romero; Ferran Mazzanti; Ruben Martin-Pinardel; Sonia Marias-Perez; Carolina Bernal-Morales; Rafael Castro-Dominguez; Andrea Mendez; Emilio Ortega; Irene Vinagre; Marga Giménez; et al. (CoRR, 2025)