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Alfredo Vellido
Alfredo Vellido Alcacena
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2020 – today
- 2024
- [c100]Caroline König, Alfredo Vellido:
Exploring Data Distributions in Machine Learning Models with SOMs. WSOM+ 2024: 86-95 - 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