 | 2011 |
| 14 |  | Davide Anguita,
Alessandro Ghio,
Luca Oneto,
Sandro Ridella:
Maximal Discrepancy vs. Rademacher Complexity for error estimation.
ESANN 2011 |
| 13 |  | Davide Anguita,
Luca Ghelardoni,
Alessandro Ghio,
Sandro Ridella:
Test error bounds for classifiers: A survey of old and new results.
FOCI 2011: 80-87 |
| 12 |  | Davide Anguita,
Alessandro Ghio,
Luca Oneto,
Sandro Ridella:
In-sample model selection for Support Vector Machines.
IJCNN 2011: 1154-1161 |
| 11 |  | Davide Anguita,
Alessandro Ghio,
Luca Oneto,
Sandro Ridella:
Selecting the hypothesis space for improving the generalization ability of Support Vector Machines.
IJCNN 2011: 1169-1176 |
| 10 |  | Luca Oneto,
Davide Anguita,
Alessandro Ghio,
Sandro Ridella:
The Impact of Unlabeled Patterns in Rademacher Complexity Theory for Kernel Classifiers.
NIPS 2011: 585-593 |
| 9 |  | Davide Anguita,
Luca Carlino,
Alessandro Ghio,
Sandro Ridella:
A FPGA Core Generator for Embedded Classification Systems.
Journal of Circuits, Systems, and Computers 20(2): 263-282 (2011) |
| 8 |  | Davide Anguita,
Alessandro Ghio,
Sandro Ridella:
Maximal Discrepancy for Support Vector Machines.
Neurocomputing 74(9): 1436-1443 (2011) |
| 2010 |
| 7 |  | Davide Anguita,
Alessandro Ghio,
Sandro Ridella:
Maximal Discrepancy for Support Vector Machines.
ESANN 2010 |
| 6 |  | Davide Anguita,
Alessandro Ghio,
Noemi Greco,
Luca Oneto,
Sandro Ridella:
Model selection for support vector machines: Advantages and disadvantages of the Machine Learning Theory.
IJCNN 2010: 1-8 |
| 2009 |
| 5 |  | Davide Anguita,
Alessandro Ghio,
Sandro Ridella,
Dario Sterpi:
K-Fold Cross Validation for Error Rate Estimate in Support Vector Machines.
DMIN 2009: 291-297 |
| 2008 |
| 4 |  | Enrique Alba,
Davide Anguita,
Alessandro Ghio,
Sandro Ridella:
Using Variable Neighborhood Search to improve the Support Vector Machine performance in embedded automotive applications.
IJCNN 2008: 984-988 |
| 3 |  | Davide Anguita,
Alessandro Ghio,
Stefano Pischiutta,
Sandro Ridella:
A support vector machine with integer parameters.
Neurocomputing 72(1-3): 480-489 (2008) |
| 2007 |
| 2 |  | Davide Anguita,
Alessandro Ghio,
Stefano Pischiutta:
A learning machine for resource-limited adaptive hardware.
AHS 2007: 571-576 |
| 1 |  | Davide Anguita,
Alessandro Ghio,
Stefano Pischiutta,
Sandro Ridella:
A Hardware-friendly Support Vector Machine for Embedded Automotive Applications.
IJCNN 2007: 1360-1364 |