The SCEAS System
Navigation Menu

Search the dblp DataBase

Title:
Author:

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]


Search in 0.005secs, Finished in 0.283secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002