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Alfredo Vellido: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. 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. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:401-406 [Conf]
  2. Alfredo Vellido, Paulo J. G. Lisboa
    Functional topographic mapping for robust handling of outliers in brain tumour data. [Citation Graph (0, 0)][DBLP]
    ESANN, 2005, pp:133-138 [Conf]
  3. Alfredo Vellido, Paulo J. G. Lisboa, Dolores Vicente
    Handling outliers and missing data in brain tumour clinical assessment using t-GTM. [Citation Graph (0, 0)][DBLP]
    ESANN, 2005, pp:121-126 [Conf]
  4. Felix Castro, Alfredo Vellido, Àngela Nebot, Julià Minguillón
    Finding Relevant Features to Characterize Student Behavior on an e-Learning System. [Citation Graph (0, 0)][DBLP]
    FECS, 2005, pp:210-0 [Conf]
  5. Alfredo Vellido
    Assessment of an Unsupervised Feature Selection Method for Generative Topographic Mapping. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2006, pp:361-370 [Conf]
  6. Alfredo Vellido
    Neural Networks for B2C E-Commerce Analysis: Some Elements of Best Practice. [Citation Graph (0, 0)][DBLP]
    ICEIS, 2002, pp:439-445 [Conf]
  7. Iván Olier, Alfredo Vellido
    Time Series Relevance Determination Through a Topology-Constrained Hidden Markov Model. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2006, pp:40-47 [Conf]
  8. Jordi Poveda, Alfredo Vellido
    Neural Network Models for Language Acquisition: A Brief Survey. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2006, pp:1346-1357 [Conf]
  9. Alfredo Vellido, Terence A. Etchells, David L. García, Àngela Nebot
    Describing Customer Loyalty to Spanish Petrol Stations Through Rule Extraction. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2006, pp:970-977 [Conf]
  10. Iván Olier, Alfredo Vellido
    Comparative Assessment of the Robustness of Missing Data Imputation Through Generative Topographic Mapping. [Citation Graph (0, 0)][DBLP]
    IWANN, 2005, pp:787-794 [Conf]
  11. Alfredo Vellido, Paulo J. G. Lisboa, Karon Meehan
    Segmenting the e-Commerce Market Using the Generative Topographic Mapping. [Citation Graph (0, 0)][DBLP]
    MICAI, 2000, pp:470-481 [Conf]
  12. 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. [Citation Graph (0, 0)][DBLP]
    Int. J. Comput. Syst. Signal, 2000, v:1, n:2, pp:119-138 [Journal]
  13. Alfredo Vellido, Paulo J. G. Lisboa, Dolores Vicente
    Robust analysis of MRS brain tumour data using t-GTM. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2006, v:69, n:7-9, pp:754-768 [Journal]
  14. Alfredo Vellido, Paulo J. G. Lisboa
    An Electronic Commerce Application of the Bayesian Framework for MLPs: The Effect of Marginalisation and ARD. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 2001, v:10, n:1, pp:3-11 [Journal]
  15. Paulo J. G. Lisboa, Alfredo Vellido, H. Wong
    Bias reduction in skewed binary classification with Bayesian neural networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2000, v:13, n:4-5, pp:407-410 [Journal]
  16. Alfredo Vellido
    Missing data imputation through GTM as a mixture of t-distributions. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:10, pp:1624-1635 [Journal]
  17. Raúl Cruz-Barbosa, Alfredo Vellido
    On the Initialization of Two-Stage Clustering with Class-GTM. [Citation Graph (0, 0)][DBLP]
    CAEPIA, 2007, pp:50-59 [Conf]
  18. Alfredo Vellido, Paulo J. G. Lisboa
    Neural Networks and Other Machine Learning Methods in Cancer Research. [Citation Graph (0, 0)][DBLP]
    IWANN, 2007, pp:964-971 [Conf]
  19. Raúl Cruz-Barbosa, Alfredo Vellido
    On the Influence of Class Information in the Two-Stage Clustering of a Human Brain Tumour Dataset. [Citation Graph (0, 0)][DBLP]
    MICAI, 2007, pp:472-482 [Conf]

  20. Frequency Selection for the Diagnostic Characterization of Human Brain Tumours. [Citation Graph (, )][DBLP]


  21. Identification of churn routes in the Brazilian telecommunications market. [Citation Graph (, )][DBLP]


  22. DSS-oriented exploration of a multi-centre magnetic resonance spectroscopy brain tumour dataset through visualization. [Citation Graph (, )][DBLP]


  23. Machine learning in cancer research: implications for personalised medicine. [Citation Graph (, )][DBLP]


  24. Geodesic Generative Topographic Mapping. [Citation Graph (, )][DBLP]


  25. Assessment of the Effect of Noise on an Unsupervised Feature Selection Method for Generative Topographic Mapping. [Citation Graph (, )][DBLP]


  26. Classification, Dimensionality Reduction, and Maximally Discriminatory Visualization of a Multicentre 1H-MRS Database of Brain Tumors. [Citation Graph (, )][DBLP]


  27. Variational GTM. [Citation Graph (, )][DBLP]


  28. On the Improvement of the Mapping Trustworthiness and Continuity of a Manifold Learning Model. [Citation Graph (, )][DBLP]


  29. Semi-supervised Outcome Prediction for a Type of Human Brain Tumour Using Partially Labeled MRS Information. [Citation Graph (, )][DBLP]


  30. On the benefits for model regularization of a variational formulation of GTM. [Citation Graph (, )][DBLP]


  31. The effect of noise and sample size on an unsupervised feature selection method for manifold learning. [Citation Graph (, )][DBLP]


  32. A variational formulation for GTM through time. [Citation Graph (, )][DBLP]


  33. Feature Selection with Single-Layer Perceptrons for a Multicentre 1H-MRS Brain Tumour Database. [Citation Graph (, )][DBLP]


  34. Rule-Based Assistance to Brain Tumour Diagnosis Using LR-FIR. [Citation Graph (, )][DBLP]


  35. Exploratory Characterization of Outliers in a Multi-centre 1H-MRS Brain Tumour Dataset. [Citation Graph (, )][DBLP]


  36. Two-Stage Clustering of a Human Brain Tumour Dataset using Manifold Learning Models. [Citation Graph (, )][DBLP]


  37. Unfolding the Manifold in Generative Topographic Mapping. [Citation Graph (, )][DBLP]


  38. Comparative Evaluation of Semi-supervised Geodesic GTM. [Citation Graph (, )][DBLP]


  39. On the improvement of brain tumour data clustering using class information. [Citation Graph (, )][DBLP]


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