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2020 – today
- 2023
[j36]Paulo J. G. Lisboa, Sascha Saralajew, Alfredo Vellido, Ricardo Fernández-Domenech, Thomas Villmann:
The coming of age of interpretable and explainable machine learning models. Neurocomputing 535: 25-39 (2023)- [c99]Mario Alberto Gutiérrez-Mondragón, Caroline König, Alfredo Vellido:
Recognition of Conformational States of a G Protein-Coupled Receptor from Molecular Dynamic Simulations Using Sampling Techniques. IWBBIO (1) 2023: 3-16 - 2022
- [j35]Alfredo Vellido
, Cecilio Angulo, Karina Gibert:
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. 34(1): 1-3 (2022) - [c98]Juan Manuel López-Correa, Caroline König, Alfredo Vellido:
Molecular Dynamics forecasting of transmembrane Regions in GPRCs by Recurrent Neural Networks. BHI 2022: 1-4 - [c97]Juan Manuel López-Correa, Caroline König, Alfredo Vellido:
Long Short-Term Memory to Predict 3D Amino Acids Positions in GPCR Molecular Dynamics. CCIA 2022: 209-217 - [c96]Mario A. Gutierrez-Mondragon, Caroline König, Alfredo Vellido:
A Deep Learning-Based Method for Uncovering GPCR Ligand-Induced Conformational States Using Interpretability Techniques. IWBBIO (2) 2022: 275-287 - [c95]Anass Benali, Laura Carrera, Ann Christin, Ruben Martín, Anibal Alé, Marina Barraso, Carolina Bernal, Sara Marín, Silvia Feu, Josep Rosinés, Teresa Hernandez, Irene Vilà, Cristian Oliva, Irene Vinagre, Emilio Ortega, Marga Giménez, Enric Esmatjes, Javier Zarranz-Ventura, Enrique Romero, Alfredo Vellido:
NMF for Quality Control of Multi-modal Retinal Images for Diagnosis of Diabetes Mellitus and Diabetic Retinopathy. IWBBIO (1) 2022: 343-356 - [i3]Juan Manuel López-Correa, Caroline König, Alfredo Vellido:
Long Short-Term Memory to predict 3D Amino acids Positions in GPCR Molecular Dynamics. CoRR abs/2207.05682 (2022) - 2021
- [c94]Paulo Lisboa, Sascha Saralajew, Alfredo Vellido, Thomas Villmann:
The Coming of Age of Interpretable and Explainable Machine Learning Models. ESANN 2021 - [c93]Angel X. Astudillo Aguilar, Stefano Rosso, Karina Gibert, Alfredo Vellido:
Visual Mining of Industrial Gas Turbines Sensor Data as an Industry 4.0 Application. SOCO 2021: 101-111 - 2020
- [j34]Alfredo Vellido:
The importance of interpretability and visualization in machine learning for applications in medicine and health care. Neural Comput. Appl. 32(24): 18069-18083 (2020) - [c92]Luis Miguel Núñez, Margarida Julià-Sapé, Enrique Romero, Carles Arús, Alfredo Vellido, Ana-Paula Candiota:
Interpreting response to TMZ therapy in murine GL261 glioblastoma by combining Radiomics, Convex-NMF and feature selection in MRI/MRSI data analysis. IJCNN 2020: 1-8 - [e2]Alfredo Vellido, Karina Gibert, Cecilio Angulo, José David Martín-Guerrero:
Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization - Proceedings of the 13th International Workshop, WSOM+ 2019, Barcelona, Spain, June 26-28, 2019. Advances in Intelligent Systems and Computing 976, Springer 2020, ISBN 978-3-030-19641-7 [contents]
2010 – 2019
- 2019
- [c91]Davide Bacciu, Battista Biggio, Paulo Lisboa, José D. Martín, Luca Oneto, Alfredo Vellido:
Societal Issues in Machine Learning: When Learning from Data is Not Enough. ESANN 2019 - [c90]Adrián Bazaga, Alfredo Vellido:
Network Community Cluster-Based Analysis for the Identification of Potential Leukemia Drug Targets. WSOM+ 2019: 314-323 - 2018
- [c89]Ahsan Bilal, Alfredo Vellido, Vicent J. Ribas:
Big Data Analytics for Obesity Prediction. CCIA 2018: 141-145 - [c88]Davide Bacciu, Paulo Lisboa, José D. Martín, Ruxandra Stoean, Alfredo Vellido:
Bioinformatics and medicine in the era of deep learning. ESANN 2018 - [i2]Davide Bacciu, Paulo J. G. Lisboa, José D. Martín, Ruxandra Stoean, Alfredo Vellido:
Bioinformatics and Medicine in the Era of Deep Learning. CoRR abs/1802.09791 (2018) - 2017
- [j33]David L. García, Àngela Nebot, Alfredo Vellido:
Intelligent data analysis approaches to churn as a business problem: a survey. Knowl. Inf. Syst. 51(3): 719-774 (2017) - [c87]Caroline König, René Alquézar, Alfredo Vellido, Jesús Giraldo:
Discovering Subtype Specific n-Gram Motifs in Class C GPCR N-Termini. CCIA 2017: 116-125 - [c86]Alfredo Vellido, David L. García:
Electricity Rate Planning for the Current Consumer Market Scenario Through Segmentation of Consumption Time Series. EPIA 2017: 295-306 - [c85]Alfredo Vellido, Vicent J. Ribas, Carles Morales, Adolfo Ruiz-Sanmartin, Juan Carlos Ruiz-Rodríguez:
Machine Learning for Critical Care: An Overview and a Sepsis Case Study. IWBBIO (1) 2017: 15-30 - [c84]Caroline König, René Alquézar, Alfredo Vellido, Jesús Giraldo:
Topological Sequence Segments Discriminate Between Class C GPCR Subtypes. PACBB 2017: 164-172 - 2016
- [c83]Emil Racec, Stefania Budulan, Alfredo Vellido:
Computational Intelligence in Interior Design: State-of-the-Art and Outlook. CCIA 2016: 108-113 - [c82]Iván Paz Ortiz, Àngela Nebot, Enrique Romero, Francisco Mugica, Alfredo Vellido:
A methodological approach for algorithmic composition systems' parameter spaces aesthetic exploration. CEC 2016: 1317-1323 - [c81]J. Rubén González Cárdenas, Àngela Nebot, Francisco Mugica, Alfredo Vellido:
A decision making support tool: The resilience management fuzzy controller. CEC 2016: 2313-2320 - [c80]José David Martín-Guerrero, Paulo J. G. Lisboa, Alfredo Vellido:
Physics and Machine Learning: Emerging Paradigms. ESANN 2016 - [c79]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 - [c78]Albert Vilamala, Alfredo Vellido, Lluís A. Belanche:
Bayesian semi non-negative matrix factorisation. ESANN 2016 - [c77]Carles Morales, Vicent J. Ribas, Alfredo Vellido:
Applying Conditional Independence Maps to Improve Sepsis Prognosis. ICDM Workshops 2016: 254-260 - [c76]Aleksei Shkurin, Alfredo Vellido:
Random Forests for Quality Control in G-Protein Coupled Receptor Databases. IWBBIO 2016: 707-718 - [c75]Victor Mocioiu, Sreenath P. Kyathanahally, Carles Arús, Alfredo Vellido, Margarida Julià-Sapé:
Automated Quality Control for Proton Magnetic Resonance Spectroscopy Data Using Convex Non-negative Matrix Factorization. IWBBIO 2016: 719-727 - [c74]Martha Ivón Cárdenas, Alfredo Vellido, Jesús Giraldo:
Visual Exploratory Assessment of Class C GPCR Extracellular Domains Discrimination Capabilities. PACBB 2016: 31-39 - 2015
- [j32]Caroline König, Martha Ivón Cárdenas, Jesús Giraldo, René Alquézar, Alfredo Vellido:
Label noise in subtype discrimination of class C G protein-coupled receptors: A systematic approach to the analysis of classification errors. BMC Bioinform. 16: 314:1-314:14 (2015) - [j31]Paulo J. G. Lisboa, José David Martín-Guerrero, Alfredo Vellido:
Making nonlinear manifold learning models interpretable: The manifold grand tour. Expert Syst. Appl. 42(22): 8982-8988 (2015) - [j30]Raúl Cruz-Barbosa, Alfredo Vellido, Jesús Giraldo:
The influence of alignment-free sequence representations on the semi-supervised classification of class C G protein-coupled receptors. Medical Biol. Eng. Comput. 53(2): 137-149 (2015) - [c73]Caroline König, René Alquézar, Alfredo Vellido, Jesús Giraldo:
The extracellular N-terminal domain suffices to discriminate class C G Protein-Coupled Receptor subtypes from n-grams of their sequences. IJCNN 2015: 1-7 - [c72]Alfredo Vellido, Christiana Halka, Àngela Nebot:
A Weighted Cramér's V Index for the Assessment of Stability in the Fuzzy Clustering of Class C G Protein-Coupled Receptors. IWBBIO (1) 2015: 536-547 - 2014
- [j29]Vicent J. Ribas Ripoll, Alfredo Vellido, Enrique Romero, Juan Carlos Ruiz-Rodríguez:
Sepsis mortality prediction with the Quotient Basis Kernel. Artif. Intell. Medicine 61(1): 45-52 (2014) - [j28]Carlos Arizmendi, Daniel A. Sierra, Alfredo Vellido, Enrique Romero:
Automated classification of brain tumours from short echo time in vivo MRS data using Gaussian Decomposition and Bayesian Neural Networks. Expert Syst. Appl. 41(11): 5296-5307 (2014) - [j27]Caroline König, René Alquézar, Alfredo Vellido, Jesús Giraldo:
Reducing the n-gram feature space of class C GPCRs to subtype-discriminating patterns. J. Integr. Bioinform. 11(3) (2014) - [c71]Martha Ivón Cárdenas, Alfredo Vellido, Jesús Giraldo:
Visual interpretation of class C GPCR subtype overlapping from the nonlinear mapping of transformed primary sequences. BHI 2014: 764-767 - [c70]Martha Ivón Cárdenas, Alfredo Vellido, Jesús Giraldo:
Manifold learning visualization of Metabotropic Glutamate Receptors. CCIA 2014: 269-272 - [c69]Caroline König, Alfredo Vellido Alcacena, René Alquézar Mancho, Jesús Giraldo:
Misclassification of class C G-protein-coupled receptors as a label noise problem. ESANN 2014 - [c68]Martha Ivón Cárdenas, Alfredo Vellido, Caroline König, René Alquézar, Jesús Giraldo:
Exploratory Visualization of Misclassified GPCRs from their transformed unaligned sequences using manifold learning techniques. IWBBIO 2014: 623-630 - [c67]Caroline König, René Alquézar, Alfredo Vellido, Jesús Giraldo:
Finding Class C GPCR Subtype-Discriminating N-grams through Feature Selection. PACBB 2014: 89-96 - [c66]Albert Vilamala, Lluís A. Belanche Muñoz, Alfredo Vellido:
A MAP approach for convex non-negative matrix factorization in the diagnosis of brain tumors. PRNI 2014: 1-4 - [c65]Alessandra Tosi, Søren Hauberg, Alfredo Vellido, Neil D. Lawrence:
Metrics for Probabilistic Geometries. UAI 2014: 800-808 - [c64]Alessandra Tosi, Iván Olier, Alfredo Vellido:
Probability Ridges and Distortion Flows: Visualizing Multivariate Time Series Using a Variational Bayesian Manifold Learning Method. WSOM 2014: 55-64 - [i1]Alessandra Tosi, Søren Hauberg, Alfredo Vellido, Neil D. Lawrence:
Metrics for Probabilistic Geometries. CoRR abs/1411.7432 (2014) - 2013
- [j26]Raúl Cruz-Barbosa, Alfredo Vellido:
Aprendizaje generativo de variedades para la exploración de datos parcialmente etiquetados. Computación y Sistemas 17(4) (2013) - [j25]Alfredo Vellido, David L. García, Àngela Nebot:
Cartogram visualization for nonlinear manifold learning models. Data Min. Knowl. Discov. 27(1): 22-54 (2013) - [j24]Albert Vilamala, Paulo J. G. Lisboa, Sandra Ortega-Martorell, Alfredo Vellido:
Discriminant Convex Non-negative Matrix Factorization for the classification of human brain tumours. Pattern Recognit. Lett. 34(14): 1734-1747 (2013) - [c63]Àngela Martín, Alfredo Vellido:
Cartogram-Based Data Visualization Using the Growing Hierarchical SOM. CCIA 2013: 249-252 - [c62]David L. García, Àngela Nebot, Alfredo Vellido:
Visualizing pay-per-view television customers churn using cartograms and flow maps. ESANN 2013 - [c61]Vicent J. Ribas Ripoll, Enrique Romero, Juan Carlos Ruiz-Rodríguez, Alfredo Vellido:
A quotient basis kernel for the prediction of mortality in severe sepsis patients. ESANN 2013 - [c60]Alessandra Tosi, Alfredo Vellido:
Robust cartogram visualization of outliers in manifold learning. ESANN 2013 - [c59]David L. García, Àngela Nebot, Alfredo Vellido:
Telecommunications Customers Churn Monitoring using Flow Maps and Cartogram Visualization. GRAPP/IVAPP 2013: 451-460 - [c58]Caroline König, Raúl Cruz-Barbosa, René Alquézar, Alfredo Vellido:
SVM-Based Classification of Class C GPCRs from Alignment-Free Physicochemical Transformations of Their Sequences. ICIAP Workshops 2013: 336-343 - [c57]Raúl Cruz-Barbosa, Alfredo Vellido, Jesús Giraldo:
Advances in Semi-Supervised Alignment-Free Classication of G Protein-Coupled Receptors. IWBBIO 2013: 759-766 - 2012
- [j23]Sandra Ortega-Martorell, Paulo J. G. Lisboa, Alfredo Vellido, Margarida Julià-Sapé, Carles Arús:
Non-negative matrix factorisation methods for the spectral decomposition of MRS data from human brain tumours. BMC Bioinform. 13: 38 (2012) - [j22]Vicent J. Ribas, Alfredo Vellido, Juan Carlos Ruiz-Rodríguez, Jordi Rello:
Severe sepsis mortality prediction with logistic regression over latent factors. Expert Syst. Appl. 39(2): 1937-1943 (2012) - [j21]Carlos Arizmendi, Alfredo Vellido, Enrique Romero:
Classification of human brain tumours from MRS data using Discrete Wavelet Transform and Bayesian Neural Networks. Expert Syst. Appl. 39(5): 5223-5232 (2012) - [j20]Vicent J. Ribas, Alfredo Vellido, Juan Carlos Ruiz-Rodríguez, Jordi Rello:
Corrigendum to "Severe sepsis mortality prediction with logistic regression over latent factors" [Expert Systems with Applications 39 (2) (2012) 1937-1943]. Expert Syst. Appl. 39(18): 13552 (2012) - [c56]Alessandra Tosi, Alfredo Vellido:
Cartogram representation of the batch-SOM magnification factor. ESANN 2012 - [c55]Alfredo Vellido, José David Martín-Guerrero, Paulo J. G. Lisboa:
Making machine learning models interpretable. ESANN 2012 - [c54]Héctor Ruiz, Ian H. Jarman, José David Martín-Guerrero, Sandra Ortega-Martorell, Alfredo Vellido, Enrique Romero, Paulo J. G. Lisboa:
Towards interpretable classifiers with blind signal separation. IJCNN 2012: 1-7 - [c53]Albert Vilamala, Lluís A. Belanche Muñoz, Alfredo Vellido:
Classifying malignant brain tumours from 1H-MRS data using Breadth Ensemble Learning. IJCNN 2012: 1-8 - [e1]Elia Biganzoli, Alfredo Vellido, Federico Ambrogi, Roberto Tagliaferri:
Computational Intelligence Methods for Bioinformatics and Biostatistics, 8th International Meeting, CIBB 2011, Gargnano del Garda, Italy, June 30 - July 2, 2011, Revised Selected Papers. Lecture Notes in Computer Science 7548, Springer 2012, ISBN 978-3-642-35685-8 [contents] - 2011
- [j19]Raúl Cruz-Barbosa, Alfredo Vellido:
Semi-Supervised Analysis of Human Brain Tumours from Partially Labeled MRS Information, Using Manifold Learning Models. Int. J. Neural Syst. 21(1): 17-29 (2011) - [j18]Iván Olier, Julià Amengual, Alfredo Vellido:
A variational Bayesian approach for the robust analysis of the cortical silent period from EMG recordings of brain stroke patients. Neurocomputing 74(9): 1301-1314 (2011) - [c52]Raúl Cruz-Barbosa, David Bautista-Villavicencio, Alfredo Vellido:
On the Computation of the Geodesic Distance with an Application to Dimensionality Reduction in a Neuro-Oncology Problem. CIARP 2011: 483-490 - [c51]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:
Discovering Hidden Pathways in Bioinformatics. CIBB 2011: 49-60 - [c50]Vicent J. Ribas, Jesús Caballero Lopez, Anna Sáez de Tejada, Juan Carlos Ruiz-Rodríguez, Adolfo Ruiz-Sanmartin, Jordi Rello, Alfredo Vellido:
On the Use of Graphical Models to Study ICU Outcome Prediction in Septic Patients Treated with Statins. CIBB 2011: 98-111 - [c49]Martha Ivón Cárdenas, Alfredo Vellido, Iván Olier, Xavier Rovira, Jesús Giraldo:
Complementing Kernel-Based Visualization of Protein Sequences with Their Phylogenetic Tree. CIBB 2011: 136-149 - [c48]Vicent J. Ribas, Jesús Caballero Lopez, Juan Carlos Ruiz-Rodríguez, Adolf Ruiz-Sanmartin, Jordi Rello, Alfredo Vellido:
On the use of decision trees for ICU outcome prediction in sepsis patients treated with statins. CIDM 2011: 37-43 - [c47]Vicent J. Ribas, Jesús Caballero Lopez, Adolf Ruiz-Sanmartin, Juan Carlos Ruiz-Rodríguez, Jordi Rello, Anna Wojdel, Alfredo Vellido:
Severe sepsis mortality prediction with relevance vector machines. EMBC 2011: 100-103 - [c46]Carlos Arizmendi, Daniel A. Sierra, Alfredo Vellido, Enrique Romero:
Brain tumour classification using Gaussian decomposition and neural networks. EMBC 2011: 5645-5648 - [c45]Alfredo Vellido, Martha Ivón Cárdenas, Iván Olier, Xavier Rovira, Jesús Giraldo:
A probabilistic approach to the visual exploration of G Protein-Coupled Receptor sequences. ESANN 2011 - [c44]Alfredo Vellido, José David Martín-Guerrero, Fabrice Rossi, Paulo J. G. Lisboa:
Seeing is believing: The importance of visualization in real-world machine learning applications. ESANN 2011 - [c43]Sandra Ortega-Martorell, Paulo J. G. Lisboa, Alfredo Vellido, Rui V. Simões, Margarida Julià-Sapé, Carles Arús:
Brain Tumor Pathological Area Delimitation through Non-negative Matrix Factorization. ICDM Workshops 2011: 1058-1063 - [c42]Sandra Ortega-Martorell, Alfredo Vellido, Paulo J. G. Lisboa, Margarida Julià-Sapé, Carles Arús:
Spectral decomposition methods for the analysis of MRS information from human brain tumors. IJCNN 2011: 3279-3284 - [c41]Raúl Cruz-Barbosa, David Bautista-Villavicencio, Alfredo Vellido:
Comparative Diagnostic Accuracy of Linear and Nonlinear Feature Extraction Methods in a Neuro-oncology Problem. MCPR 2011: 34-41 - 2010
- [j17]Paulo J. G. Lisboa, Alfredo Vellido, Roberto Tagliaferri, Francesco Napolitano, Michele Ceccarelli, José David Martín-Guerrero, Elia Biganzoli:
Data Mining in Cancer Research [Application Notes]. IEEE Comput. Intell. Mag. 5(1): 14-18 (2010) - [j16]Félix Fernando González-Navarro, Lluís A. Belanche Muñoz, Enrique Romero, Alfredo Vellido, Margarida Julià-Sapé, Carles Arús:
Feature and model selection with discriminatory visualization for diagnostic classification of brain tumors. Neurocomputing 73(4-6): 622-632 (2010) - [j15]Raúl Cruz-Barbosa, Alfredo Vellido:
Semi-supervised geodesic Generative Topographic Mapping. Pattern Recognit. Lett. 31(3): 202-209 (2010) - [c40]Paulo J. G. Lisboa, Alfredo Vellido, José David Martín-Guerrero:
Computational Intelligence in biomedicine: Some contributions. ESANN 2010 - [c39]Iván Olier, Julià Amengual, Alfredo Vellido:
Segmentation of EMG time series using a variational Bayesian approach for the robust estimation of cortical silent periods. ESANN 2010 - [c38]Iván Olier, Alfredo Vellido, Jesús Giraldo:
Kernel generative topographic mapping. ESANN 2010 - [c37]Sandra Ortega-Martorell, Iván Olier, Alfredo Vellido, Margarida Julià-Sapé, Carles Arús:
Spectral Prototype Extraction for dimensionality reduction in brain tumour diagnosis. ESANN 2010
2000 – 2009
- 2009
- [j14]Frank-Michael Schleif, Michael Biehl, Alfredo Vellido:
Advances in machine learning and computational intelligence. Neurocomputing 72(7-9): 1377-1378 (2009) - [j13]Alfredo Vellido, Enrique Romero, Félix Fernando González-Navarro, Lluís A. Belanche Muñoz, Margarida Julià-Sapé, Carles Arús:
Outlier exploration and diagnostic classification of a multi-centre 1H-MRS brain tumour database. Neurocomputing 72(13-15): 3085-3097 (2009) - [c36]Carlos Arizmendi, Alfredo Vellido, Enrique Romero:
Frequency Selection for the Diagnostic Characterization of Human Brain Tumours. CCIA 2009: 391-398 - [c35]Raúl Cruz-Barbosa, Alfredo Vellido:
Comparative Evaluation of Semi-supervised Geodesic GTM. HAIS 2009: 344-351 - [c34]Raúl Cruz-Barbosa, Alfredo Vellido:
Semi-supervised Outcome Prediction for a Type of Human Brain Tumour Using Partially Labeled MRS Information. IDEAL 2009: 168-175 - [c33]Enrique Romero, Alfredo Vellido, Josep M. Sopena:
Feature Selection with Single-Layer Perceptrons for a Multicentre 1H-MRS Brain Tumour Database. IWANN (1) 2009: 1013-1020 - 2008
- [j12]Iván Olier, Alfredo Vellido:
Variational Bayesian Generative Topographic Mapping. J. Math. Model. Algorithms 7(4): 371-387 (2008) - [j11]Iván Olier, Alfredo Vellido:
Advances in clustering and visualization of time series using GTM through time. Neural Networks 21(7): 904-913 (2008) - [c32]Raúl Cruz-Barbosa, Alfredo Vellido:
Two-Stage Clustering of a Human Brain Tumour Dataset using Manifold Learning Models. BIOSIGNALS (2) 2008: 191-196 - [c31]Alfredo Vellido, Elia Biganzoli, Paulo J. G. Lisboa:
Machine learning in cancer research: implications for personalised medicine. ESANN 2008: 55-64 - [c30]Enrique Romero, Margarida Julià-Sapé, Alfredo Vellido:
DSS-oriented exploration of a multi-centre magnetic resonance spectroscopy brain tumour dataset through visualization. ESANN 2008: 95-100 - [c29]Raúl Cruz-Barbosa, Alfredo Vellido:
Unfolding the Manifold in Generative Topographic Mapping. HAIS 2008: 392-399 - [c28]Raúl Cruz-Barbosa, Alfredo Vellido:
Geodesic Generative Topographic Mapping. IBERAMIA 2008: 113-122 - [c27]Alfredo Vellido, Jorge S. Velazco:
Assessment of the Effect of Noise on an Unsupervised Feature Selection Method for Generative Topographic Mapping. ICEIS (2) 2008: 424-430 - [c26]Paulo J. G. Lisboa, Enrique Romero, Alfredo Vellido, Margarida Julià-Sapé, Carles Arús:
Classification, Dimensionality Reduction, and Maximally Discriminatory Visualization of a Multicentre 1H-MRS Database of Brain Tumors. ICMLA 2008: 613-618 - [c25]Raúl Cruz-Barbosa, Alfredo Vellido:
On the Improvement of the Mapping Trustworthiness and Continuity of a Manifold Learning Model. IDEAL 2008: 266-273 - [c24]Iván Olier, Alfredo Vellido:
A variational formulation for GTM through time. IJCNN 2008: 516-521 - [c23]Alfredo Vellido, Jorge S. Velazco:
The effect of noise and sample size on an unsupervised feature selection method for manifold learning. IJCNN 2008: 522-527 - [c22]Iván Olier, Alfredo Vellido:
On the benefits for model regularization of a variational formulation of GTM. IJCNN 2008: 1568-1575 - [c21]Àngela Nebot, Félix Castro, Alfredo Vellido, Margarida Julià-Sapé, Carles Arús:
Rule-Based Assistance to Brain Tumour Diagnosis Using LR-FIR. KES (2) 2008: 173-180 - [c20]Alfredo Vellido, Margarida Julià-Sapé, Enrique Romero, Carles Arús:
Exploratory Characterization of Outliers in a Multi-centre 1H-MRS Brain Tumour Dataset. KES (2) 2008: 189-196 - 2007
- [j10]Alfredo Vellido, Adriano O. Andrade:
Determination of feature relevance for the grouping of motor unit action potentials through a generative mixture model. Biomed. Signal Process. Control. 2(2): 111-121 (2007) - [j9]Alfredo Vellido, Eugenia Martí, Joaquim Comas, Ignasi Rodríguez-Roda, Francesc Sabater:
Exploring the ecological status of human altered streams through Generative Topographic Mapping. Environ. Model. Softw. 22(7): 1053-1065 (2007) - [c19]Raúl Cruz-Barbosa, Alfredo Vellido:
On the Initialization of Two-Stage Clustering with Class-GTM. CAEPIA 2007: 50-59 - [c18]David L. García, Alfredo Vellido, Àngela Nebot:
Identification of churn routes in the Brazilian telecommunications market. ESANN 2007: 585-590 - [c17]Iván Olier, Alfredo Vellido:
Variational GTM. IDEAL 2007: 77-86 - [c16]Alfredo Vellido, Paulo J. G. Lisboa:
Neural Networks and Other Machine Learning Methods in Cancer Research. IWANN 2007: 964-971 - [c15]Raúl Cruz-Barbosa, Alfredo Vellido:
On the Influence of Class Information in the Two-Stage Clustering of a Human Brain Tumour Dataset. MICAI 2007: 472-482 - 2006
- [j8]Alfredo Vellido, Paulo J. G. Lisboa:
Handling outliers in brain tumour MRS data analysis through robust topographic mapping. Comput. Biol. Medicine 36(10): 1049-1063 (2006) - [j7]Alfredo Vellido, Paulo J. G. Lisboa, Dolores Vicente:
Robust analysis of MRS brain tumour data using t-GTM. Neurocomputing 69(7-9): 754-768 (2006) - [j6]Alfredo Vellido:
Missing data imputation through GTM as a mixture of t-distributions. Neural Networks 19(10): 1624-1635 (2006) - [c14]Terence A. Etchells, Àngela Nebot, Alfredo Vellido, Paulo J. G. Lisboa, Francisco Mugica:
Learning what is important: feature selection and rule extraction in a virtual course. ESANN 2006: 401-406 - [c13]Alfredo Vellido:
Assessment of an Unsupervised Feature Selection Method for Generative Topographic Mapping. ICANN (2) 2006: 361-370 - [c12]Iván Olier, Alfredo Vellido:
Time Series Relevance Determination Through a Topology-Constrained Hidden Markov Model. IDEAL 2006: 40-47 - [c11]Alfredo Vellido, Terence A. Etchells, David L. García, Àngela Nebot:
Describing Customer Loyalty to Spanish Petrol Stations Through Rule Extraction. IDEAL 2006: 970-977 - [c10]Jordi Poveda, Alfredo Vellido:
Neural Network Models for Language Acquisition: A Brief Survey. IDEAL 2006: 1346-1357 - [c9]Raúl Cruz-Barbosa, Alfredo Vellido:
On the improvement of brain tumour data clustering using class information. STAIRS 2006: 253-254 - 2005
- [c8]Alfredo Vellido, Paulo J. G. Lisboa, Dolores Vicente:
Handling outliers and missing data in brain tumour clinical assessment using t-GTM. ESANN 2005: 121-126 - [c7]Alfredo Vellido, Paulo J. G. Lisboa:
Functional topographic mapping for robust handling of outliers in brain tumour data. ESANN 2005: 133-138 - [c6]Félix Castro, Alfredo Vellido, Àngela Nebot, Julià Minguillón:
Finding Relevant Features to Characterize Student Behavior on an e-Learning System. FECS 2005: 210- - [c5]Iván Olier, Alfredo Vellido:
Comparative Assessment of the Robustness of Missing Data Imputation Through Generative Topographic Mapping. IWANN 2005: 787-794 - 2003
- [j5]Alfredo Vellido, Wael El-Deredy, Paulo J. G. Lisboa:
Selective smoothing of the generative topographic mapping. IEEE Trans. Neural Networks 14(4): 847-852 (2003) - 2002
- [c4]Alfredo Vellido:
Neural Networks for B2C E-Commerce Analysis: Some Elements of Best Practice. ICEIS 2002: 439-445 - 2001
- [j4]Alfredo Vellido, Paulo J. G. Lisboa:
An Electronic Commerce Application of the Bayesian Framework for MLPs: The Effect of Marginalisation and ARD. Neural Comput. Appl. 10(1): 3-11 (2001) - 2000
- [j3]Alfredo Vellido, Paulo J. G. Lisboa, Karon Meehan:
The generative topographic mapping as a principal model for data visualization and market segmentation: an electronic commerce case. Int. J. Comput. Syst. Signals 1(2): 119-138 (2000) - [j2]Alfredo Vellido, Paulo J. G. Lisboa, Karon Meehan:
Quantitative Characterization and Prediction of On-Line Purchasing Behavior: A Latent Variable Approach. Int. J. Electron. Commer. 4(4): 83-104 (2000) - [j1]Paulo J. G. Lisboa, Alfredo Vellido, H. Wong:
Bias reduction in skewed binary classification with Bayesian neural networks. Neural Networks 13(4-5): 407-410 (2000) - [c3]Paulo J. G. Lisboa, Alfredo Vellido, H. Wong:
Outstanding Issues for Clinical Decision Support with Neural Networks. ANNIMAB 2000: 63-71 - [c2]Alfredo Vellido, Paulo J. G. Lisboa, Karon Meehan:
Segmenting the e-Commerce Market Using the Generative Topographic Mapping. MICAI 2000: 470-481
1990 – 1999
- 1997
- [c1]Paulo J. G. Lisboa, Neil M. Branston, Wael El-Deredy, Alfredo Vellido:
Tissue characterisation with NMR spectroscopy: current state and future prospects for the application of neural networks analysis. ICNN 1997: 1385-1390
Coauthor Index
Paulo J. G. Lisboa
aka: Paulo Lisboa
aka: Paulo Lisboa
José D. Martín-Guerrero
aka: José David Martín-Guerrero
aka: José David Martín-Guerrero
Vicent J. Ribas
aka: Vicent J. Ribas Ripoll
aka: Vicent J. Ribas Ripoll
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