[grfia]
+ General Information
+ Members
+ Research
+ Intranet

2021

[WORKSHOP 2021]

15th workshop gRFIA

9th Music Encoding Conference (MEI 2021)

[]

Alicante, July 19-23

13th international workshop on Machine Learning and Music

[]

(online) September 18, 2020

Gómez Ballester, Eva

Assistant Professor

Go to the Staff page

In this page: contact : research : publications : links

Contact:
  Department of Software and Computing Systems.
  University of Alicante.
  E-03080 Alicante.
  Spain

  E-mail:    eva at dlsi.ua.es
  Telephone: +34 96 5903400 ext. 2451

Other pages: Teaching, Personal

Research:

Curriculum Vitae:not available yet

Research Interests:

Projects:

Publications:
Search pubs:

Select a year : all : 2012 : 2010 : 2008 : 2007 : 2006 : 2005 : 2003 : 2002 : 2000 : 1999 : 1997 : 1995

  1. Gómez-Ballester, E.
    "Aportaciones a la mejora de la eficiencia de la búsqueda del vecino más cercano"
    PhD Thesis. Supervisors: Micó, L.; Oncina, J.
    Departamento de Lenguajes y Sistemas Informáticos (2012)
    : bibtex : more info
  2. Gómez-Ballester, E.; Micó, L.; Thollard, F.; Oncina, J.; Moreno-Seco, F.
    "Combining Elimination Rules in Tree-Based Nearest Neighbor Search Algorithms "
    Structural, Syntactic, and Statistical Pattern Recognition, ISBN: 978-3-642-14979-5, pp. 80--89, Cesme, Turkey (2010)
    : bibtex : pdf : more info
  3. Gómez-Ballester, E; Micó, L.; Oncina, J.
    "A pruning Rule Based on a Distance Sparse Table for Hierarchical Similarity Search Algorithms"
    Lecture Notes in Computer Science, vol. 5342, pp. 936-946 (2008)
    : bibtex : pdf : more info
  4. Oncina J., Thollard F., Gómez-Ballester E., Micó L., Moreno-Seco F.
    "A tabular pruning rule in tree-based pruning rule fast nearest neighbour search algorithms"
    Lecture Notes in Computer Science, vol. 4478, pp. 306-313 (2007)
    : bibtex : pdf : more info
  5. Gómez-Ballester E.; Micó L.; Oncina J.
    "Some approaches to improve tree-based nearest neighbour search algorithms"
    Pattern Recognition, vol. 39, pp. 171-179 (2006)
    : bibtex : ps : more info
  6. Gómez-Ballester, E.; Micó, L.; Oncina, J.
    "Testing Some Improvements of the Fukunaga and Narendra´s Fast Nearest Neighbour Search Algorithm in a Spelling Task"
    Lecture Notes in Computer Science, vol. 3523, pp. 3 - 10 (2005)
    : bibtex : pdf
  7. Gómez-Ballester, E.; Micó, L.; Oncina, J
    "Some Improvements in Tree Based Nearest Neighbour Search Algorithms"
    0302-9743 - Lecture Notes in Computer Science - Lecture Notes in Artificial Intelligence, pp. 456-463 (2003)
    : bibtex : pdf
  8. Gómez-Ballester, E.;Micó, L.;Oncina, J.
    "A fast approximated k-median algorithm"
    Lecture Notes in Computer Science - Lecture Notes in Artificial Intelligence, vol. 2396, pp. 684-690 (2002)
    : bibtex : ps
  9. Gómez-Ballester, E.; Forcada-Zubizarreta, M.L.; Micó-Andrés, M.L.
    "A gradient-descent method to adapt the edit-distance to a classification task"
    Pattern Recognition and Applications. Frontiers in Artificial Intelli-gence and Applications, pp. 18 (2000)
    : bibtex
  10. Gómez-Ballester, Eva; Forcada-Zubizarreta. Mikel L.; Micó, Luisa
    "A gradient-descent method to adapt the edit distance to a classification task"
    Pattern Recognition and Image Analysis, Proceedings of the VIII Simposium Nacional de Reconocimiento de Formas y Análisis de Imágenes, pp. 216 (1999)
    : bibtex
  11. Gómez-Ballester, E.; Micó-Andrés, M.L.; Oncina, J.; Forcada-Zubizarreta, M.L.
    "An empirical method to improve edit-distance parameters for a nearest-neighbor-based classification task"
    VII Spanish Symposium on Pattern Recognition and Image Analysis, Barcelona, Spain (1997)
    : bibtex
  12. Gómez-Ballester, E.; Micó-Andrés, M.L.; Oncina, J.
    "Testing the linear approximating and eliminating search algorithm in handwritten character recognition tasks"
    VI Spanish Symposium on Pattern Recognition and Image Analysis, Córdoba, Spain (1995)
    : bibtex : ps
Links:
Accessed 156016 times since: 2004-10-06
Last updated: 2003-02-16
Valid XHTML 1.0!Valid CSS!