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Davide Anguita: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Davide Anguita, Arianna Poggi, Fabio Rivieccio, Anna Marina Scapolla
    Data Mining Tools: From Web to Grid Architectures. [Citation Graph (0, 0)][DBLP]
    EGC, 2005, pp:620-629 [Conf]
  2. Davide Anguita, Maurizio Valle
    Perspectives on dedicated hardware implementations. [Citation Graph (0, 0)][DBLP]
    ESANN, 2001, pp:45-56 [Conf]
  3. Davide Anguita, Marco Chirico, Anna Marina Scapolla, Giancarlo Parodi
    RAIN: Redundant Array of Inexpensive workstations for Neurocomputing. [Citation Graph (0, 0)][DBLP]
    Euro-Par, 1997, pp:1340-1345 [Conf]
  4. Davide Anguita, Andrea Boni, Marco Chirico, Fabrizio Giudici, Anna Marina Scapolla, Giancarlo Parodi
    High Performance Neurocomputing: Industrial and Medical Applications of the RAIN System. [Citation Graph (0, 0)][DBLP]
    HPCN Europe, 1998, pp:34-43 [Conf]
  5. Davide Anguita, Filippo Passaggio, Rodolfo Zunino
    Learning in large neural networks. [Citation Graph (0, 0)][DBLP]
    HPCN Europe, 1995, pp:269-274 [Conf]
  6. Davide Anguita, Matteo Gagliolo
    MDL Based Model Selection for Relevance Vector Regression. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:468-473 [Conf]
  7. Davide Anguita, Sandro Ridella, Fabio Rivieccio, Rodolfo Zunino
    Automatic Hyperparameter Tuning for Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:1345-1350 [Conf]
  8. Davide Anguita, Andrea Boni, Sandro Ridella
    Support Vector Machines: A Comparison of Some Kernel Functions. [Citation Graph (0, 0)][DBLP]
    IIA/SOCO, 1999, pp:- [Conf]
  9. Davide Anguita, Andrea Boni, Stefano Pace
    Fast Training of Support Vector Machines for Regression. [Citation Graph (0, 0)][DBLP]
    IJCNN (5), 2000, pp:210-216 [Conf]
  10. Jean-Marc Adamo, Davide Anguita
    Object Oriented Design of a Simulator for Large BP Neural Networks. [Citation Graph (0, 0)][DBLP]
    IWANN, 1995, pp:642-649 [Conf]
  11. Davide Anguita, Dario Sterpi
    Nature Inspiration for Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    KES (2), 2006, pp:442-449 [Conf]
  12. Davide Anguita, Iluminada Baturone, Julian Francis Miller
    Special issue on hardware implementations of soft computing techniques. [Citation Graph (0, 0)][DBLP]
    Appl. Soft Comput., 2004, v:4, n:3, pp:204-205 [Journal]
  13. Davide Anguita, Andrea Boni, Sandro Ridella
    Digital VLSI Algorithms and Architectures for Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 2000, v:10, n:3, pp:159-170 [Journal]
  14. Davide Anguita, Andrea Boni
    Neural network learning for analog VLSI implementations of support vector machines: a survey. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2003, v:55, n:1-2, pp:265-283 [Journal]
  15. Davide Anguita, Giancarlo Parodi, Rodolfo Zunino
    An efficient implementation of BP on RISC-based workstations. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1994, v:6, n:1, pp:57-65 [Journal]
  16. Davide Anguita, Sandro Ridella, Fabio Rivieccio, Rodolfo Zunino
    Hyperparameter design criteria for support vector classifiers. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2003, v:55, n:1-2, pp:109-134 [Journal]
  17. Davide Anguita, Sandro Ridella, Fabio Rivieccio, Rodolfo Zunino
    Quantum optimization for training support vector machines. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2003, v:16, n:5-6, pp:763-770 [Journal]
  18. Davide Anguita, Andrea Boni
    Digital Least Squares Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2003, v:18, n:1, pp:65-72 [Journal]
  19. Davide Anguita, Andrea Boni, Sandro Ridella
    Evaluating the Generalization Ability of Support Vector Machines through the Bootstrap. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2000, v:11, n:1, pp:51-58 [Journal]

  20. K-Fold Cross Validation for Error Rate Estimate in Support Vector Machines. [Citation Graph (, )][DBLP]


  21. Interval discriminant analysis using support vector machines. [Citation Graph (, )][DBLP]


  22. A Hardware-friendly Support Vector Machine for Embedded Automotive Applications. [Citation Graph (, )][DBLP]


  23. Testing the Augmented Binary Multiclass SVM on Microarray Data. [Citation Graph (, )][DBLP]


  24. Using Variable Neighborhood Search to improve the Support Vector Machine performance in embedded automotive applications. [Citation Graph (, )][DBLP]


  25. Transputer-based architectures for associative image classification. [Citation Graph (, )][DBLP]


  26. A learning machine for resource-limited adaptive hardware. [Citation Graph (, )][DBLP]


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