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Amparo Alonso-Betanzos: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Vicente Moret-Bonillo, Amparo Alonso-Betanzos, John R. Searle
    Towards the implementation of intelligent structures in intensive care monitoring: the advantages of the symbolic pre-processing. [Citation Graph (0, 0)][DBLP]
    ACM Southeast Regional Conference, 1990, pp:206- [Conf]
  2. Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
    Symbolic, Neural and Neuro-fuzzy Approaches to Pattern Recognition in Cardiotocograms. [Citation Graph (0, 0)][DBLP]
    Advances in Computational Intelligence and Learning, 2002, pp:489-500 [Conf]
  3. Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Ana del Rocío Fraga-Iglesias, Vicente Moret-Bonillo
    A Bayesian Neural Network Approach for Sleep Apnea Classification. [Citation Graph (0, 0)][DBLP]
    AIME, 2003, pp:284-293 [Conf]
  4. Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, Juan Canda, Eulogio Jimenez, Jose Luis Legido, Susana Muñiz, Cristina Paz-Andrade, Maria Inmaculada Paz-Andrade
    A Neural Network Approach for Forestal Fire Risk Estimation. [Citation Graph (0, 0)][DBLP]
    ECAI, 2002, pp:643-647 [Conf]
  5. Amparo Alonso-Betanzos, Enrique Castillo, Oscar Fontenla-Romero, Noelia Sánchez-Maroño
    Shear strength prediction using dimensional analysis and functional networks. [Citation Graph (0, 0)][DBLP]
    ESANN, 2004, pp:251-256 [Conf]
  6. Deniz Erdogmus, Yadunandana N. Rao, José Carlos Príncipe, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
    Recursive Least Squares for an Entropy Regularized MSE Cost Function. [Citation Graph (0, 0)][DBLP]
    ESANN, 2003, pp:451-456 [Conf]
  7. Oscar Fontenla-Romero, Deniz Erdogmus, José Carlos Príncipe, Amparo Alonso-Betanzos, Enrique Castillo
    Accelerating the convergence speed of neural networks learning methods using least squares. [Citation Graph (0, 0)][DBLP]
    ESANN, 2003, pp:255-260 [Conf]
  8. Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Enrique Castillo
    a new wrapper method for feature subset selection. [Citation Graph (0, 0)][DBLP]
    ESANN, 2005, pp:515-520 [Conf]
  9. Noelia Sánchez-Maroño, Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas
    Self-organizing maps and functional networks for local dynamic modeling. [Citation Graph (0, 0)][DBLP]
    ESANN, 2003, pp:39-44 [Conf]
  10. Juan A. Suárez-Romero, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, C. Duran-Sanles
    A tool for agent communication in Mozart/Oz. [Citation Graph (0, 0)][DBLP]
    IAT, 2005, pp:706-710 [Conf]
  11. Juan A. Suárez-Romero, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas
    An Add-On for Managing Behaviours with Priority in JADE. [Citation Graph (0, 0)][DBLP]
    IAT, 2006, pp:713-716 [Conf]
  12. Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Enrique Castillo, José Carlos Príncipe, Bertha Guijarro-Berdiñas
    Local Modeling Using Self-Organizing Maps and Single Layer Neural Networks. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:945-950 [Conf]
  13. Oscar Fontenla-Romero, Deniz Erdogmus, José Carlos Príncipe, Amparo Alonso-Betanzos, Enrique Castillo
    Linear Least-Squares Based Methods for Neural Networks Learning. [Citation Graph (0, 0)][DBLP]
    ICANN, 2003, pp:84-91 [Conf]
  14. Noelia Sánchez-Maroño, Oscar Fontenla-Romero, Enrique Castillo, Amparo Alonso-Betanzos
    Modelling Engineering Problems Using Dimensional Analysis for Feature Extraction. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2005, pp:949-954 [Conf]
  15. Sabela Platero-Santos, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
    A Fast Classification Algorithm Based on Local Models. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2006, pp:249-256 [Conf]
  16. Noelia Sánchez-Maroño, María Caamaño-Fernández, Enrique Castillo, Amparo Alonso-Betanzos
    Functional Networks and Analysis of Variance for Feature Selection. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2006, pp:1031-1038 [Conf]
  17. Amparo Alonso-Betanzos, Eduardo Mosqueira-Rey, Belen Baldonedo del Río
    A Comparative Analysis of the Neonatal Prognosis Problem Using Artificial Neural Networks, Statistical Techniques and Certainty Management Techniques. [Citation Graph (0, 0)][DBLP]
    IWANN, 1997, pp:995-1004 [Conf]
  18. Enrique Castillo, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
    A Measure of Noise Immunity for Functional Networks. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 2001, pp:293-300 [Conf]
  19. Enrique Castillo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Carmen Castillo
    Recovering Missing Data with Functional and Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    IWANN (2), 2003, pp:489-496 [Conf]
  20. Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Olga Garcia-Dans, Noelia Sánchez-Maroño
    An Auto-learning System for the Classification of Fetal Heart Rate Decelerative Patterns. [Citation Graph (0, 0)][DBLP]
    IWANN (2), 2001, pp:393-400 [Conf]
  21. Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Soledad Prados-Méndez, Olga Fernández-Chaves, Miguel Álvarez-Soane, Francisco Ucieda-Pardiñas
    A Hybrid Intelligent System for the Preprocessing of Fetal Heart Rate Signals in Antenatal Testing. [Citation Graph (0, 0)][DBLP]
    IWANN, 1997, pp:628-633 [Conf]
  22. Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
    A Functional-Neural Network for Post-Nonlinear Independent Component Analysis. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 2001, pp:301-307 [Conf]
  23. Bernardino Arcay Varela, Amparo Alonso-Betanzos, Alfonso Castro Martínez, Concepsión Seijo García, Jesús Suarez Bustillo
    Prepossessing of Radiological Images: Comparison of the Application of Polynomic Algorithms and Artificial Neural Networks to the Elimination of Variations in Background Luminosity. [Citation Graph (0, 0)][DBLP]
    IWANN (2), 1999, pp:452-459 [Conf]
  24. Juan A. Suárez-Romero, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
    A New Learning Method for Single Layer Neural Networks Based on a Regularized Cost Function. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 2003, pp:270-277 [Conf]
  25. Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Olga Fernández-Chaves, José Carlos Príncipe
    Detection of Fetal Heart Rate Accelerations and Decelerations Using Artificial Neural Networks. [Citation Graph (0, 0)][DBLP]
    NC, 1998, pp:358-364 [Conf]
  26. Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Olga Fernández-Chaves, Miguel Álvarez-Soane, Francisco Ucieda-Pardiñas
    A Neural Network Approach to the Classification of Decelerative Cardiotocographic Patterns in the CAFE Project. [Citation Graph (0, 0)][DBLP]
    NC, 1998, pp:827-833 [Conf]
  27. Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Oscar Fontenla-Romero
    Intelligent analysis and pattern recognition in cardiotocographic signals using a tightly coupled hybrid system. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2002, v:136, n:1, pp:1-27 [Journal]
  28. Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas, Vicente Moret-Bonillo, S. Lopez-Gonzalez
    The NST-EXPERT project: the need to evolve. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 1995, v:7, n:4, pp:297-313 [Journal]
  29. Amparo Alonso-Betanzos, Eduardo Mosqueira-Rey, Vicente Moret-Bonillo, Belen Baldonedo del Río
    Applying statistical, uncertainty-based and connectionist approaches to the prediction of fetal outcome: a comparative study. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 1999, v:17, n:1, pp:37-57 [Journal]
  30. Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Vicente Moret-Bonillo
    A new method for sleep apnea classification using wavelets and feedforward neural networks. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2005, v:34, n:1, pp:65-76 [Journal]
  31. Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
    Empirical evaluation of a hybrid intelligent monitoring system using different measures of effectiveness. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2002, v:24, n:1, pp:71-96 [Journal]
  32. Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Elena Hernández-Pereira, Maria Inmaculada Paz-Andrade, Eulogio Jimenez, Jose Luis Legido, Tarsy Carballas
    An intelligent system for forest fire risk prediction and fire fighting management in Galicia. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2003, v:25, n:4, pp:545-554 [Journal]
  33. Oscar Fontenla-Romero, Enrique Castillo, Amparo Alonso-Betanzos, Bertha Guijarro-Berdiñas
    A measure of fault tolerance for functional networks. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2004, v:62, n:, pp:327-347 [Journal]
  34. Amparo Alonso-Betanzos, Bernardino Arcay Varela, Alfonso Castro Martínez
    Analysis and evaluation of hard and fuzzy clustering segmentation techniques in burned patient images. [Citation Graph (0, 0)][DBLP]
    Image Vision Comput., 2000, v:18, n:13, pp:1045-1054 [Journal]
  35. Enrique Castillo, Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
    A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:1159-1182 [Journal]
  36. Enrique Castillo, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos
    A Global Optimum Approach for One-Layer Neural Networks. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2002, v:14, n:6, pp:1429-1449 [Journal]
  37. Enrique Castillo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Carmen Castillo
    Functional Network Topology Learning and Sensitivity Analysis Based on ANOVA Decomposition. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2007, v:19, n:1, pp:231-257 [Journal]
  38. Vicente Moret-Bonillo, Eduardo Mosqueira-Rey, Amparo Alonso-Betanzos
    Information analysis and validation of intelligent monitoring systems in intensive care units. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Technology in Biomedicine, 1997, v:1, n:2, pp:87-99 [Journal]
  39. Noelia Sánchez-Maroño, Amparo Alonso-Betanzos
    Feature Selection Based on Sensitivity Analysis. [Citation Graph (0, 0)][DBLP]
    CAEPIA, 2007, pp:239-248 [Conf]
  40. Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, Beatriz Pérez-Sánchez
    An Improved Version of the Wrapper Feature Selection Method Based on Functional Decomposition. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2007, pp:240-249 [Conf]
  41. Eduardo Mosqueira-Rey, Amparo Alonso-Betanzos, Belen Baldonedo del Río, Jesús Lago Piñeiro
    A Misuse Detection Agent for Intrusion Detection in a Multi-agent Architecture. [Citation Graph (0, 0)][DBLP]
    KES-AMSTA, 2007, pp:466-475 [Conf]

  42. Classification of computer intrusions using functional networks. A comparative study. [Citation Graph (, )][DBLP]


  43. A Method for Time Series Prediction using a Combination of Linear Models. [Citation Graph (, )][DBLP]


  44. A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis. [Citation Graph (, )][DBLP]


  45. Combining Feature Selection and Local Modelling in the KDD Cup 99 Dataset. [Citation Graph (, )][DBLP]


  46. Local Modeling Classifier for Microarray Gene-Expression Data. [Citation Graph (, )][DBLP]


  47. Fault Prognosis of Mechanical Components Using On-Line Learning Neural Networks. [Citation Graph (, )][DBLP]


  48. A Comparative Study of Local Classifiers Based on Clustering Techniques and One-Layer Neural Networks. [Citation Graph (, )][DBLP]


  49. Filter Methods for Feature Selection - A Comparative Study. [Citation Graph (, )][DBLP]


  50. A Wrapper Method for Feature Selection in Multiple Classes Datasets. [Citation Graph (, )][DBLP]


  51. A JADE-Based Framework for Developing Evolutionary Multi-Agent Systems. [Citation Graph (, )][DBLP]


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