 | 2009 |
| 18 |  | Sergio Muñoz-Romero,
Jerónimo Arenas-García,
Vanessa Gómez-Verdejo:
Real Adaboost Ensembles with Emphasized Subsampling.
IWANN (1) 2009: 440-447 |
| 17 |  | Jerónimo Arenas-García,
Aníbal R. Figueiras-Vidal:
Adaptive Combination of Proportionate Filters for Sparse Echo Cancellation.
IEEE Transactions on Audio, Speech & Language Processing 17(6): 1087-1098 (2009) |
| 2008 |
| 16 |  | Iván González-Díaz,
D. García-García,
Rubén Solera-Ureña,
Jaisiel Madrid-Sánchez,
Vanessa Gómez-Verdejo,
Manel Martínez-Ramón,
Fernando Díaz-de-María,
Jerónimo Arenas-García:
UC3M High Level Feature Extraction at TRECVID 2008.
TRECVID 2008 |
| 15 |  | Vanessa Gómez-Verdejo,
Jerónimo Arenas-García,
Aníbal R. Figueiras-Vidal:
A Dynamically Adjusted Mixed Emphasis Method for Building Boosting Ensembles.
IEEE Transactions on Neural Networks 19(1): 3-17 (2008) |
| 2007 |
| 14 |  | Jerónimo Arenas-García,
Vanessa Gómez-Verdejo,
Aníbal R. Figueiras-Vidal:
Fast evaluation of neural networks via confidence rating.
Neurocomputing 70(16-18): 2775-2782 (2007) |
| 2006 |
| 13 |  | Jerónimo Arenas-García,
Jan Larsen,
Lars Kai Hansen,
Anders Meng:
Optimal filtering of dynamics in short-time features for music organization.
ISMIR 2006: 290-295 |
| 12 |  | Tue Lehn-Schiøler,
Jerónimo Arenas-García,
Kaare Brandt Petersen,
Lars Kai Hansen:
A Genre Classification Plug-in for Data Collection.
ISMIR 2006: 320-321 |
| 11 |  | Jerónimo Arenas-García,
Kaare Brandt Petersen,
Lars Kai Hansen:
Sparse Kernel Orthonormalized PLS for feature extraction in large data sets.
NIPS 2006: 33-40 |
| 10 |  | Jerónimo Arenas-García,
Aníbal R. Figueiras-Vidal,
Ali H. Sayed:
Mean-square performance of a convex combination of two adaptive filters.
IEEE Transactions on Signal Processing 54(3): 1078-1090 (2006) |
| 9 |  | Vanessa Gómez-Verdejo,
Manuel Ortega-Moral,
Jerónimo Arenas-García,
Aníbal R. Figueiras-Vidal:
Boosting by weighting critical and erroneous samples.
Neurocomputing 69(7-9): 679-685 (2006) |
| 8 |  | Jerónimo Arenas-García,
Manel Martínez-Ramón,
Angel Navia-Vázquez,
Aníbal R. Figueiras-Vidal:
Plant identification via adaptive combination of transversal filters.
Signal Processing 86(9): 2430-2438 (2006) |
| 2005 |
| 7 |  | Manuel Ortega-Moral,
Vanessa Gómez-Verdejo,
Jerónimo Arenas-García,
Aníbal R. Figueiras-Vidal:
An On-line Fisher Discriminant.
ESANN 2005: 175-180 |
| 6 |  | Vanessa Gómez-Verdejo,
Manuel Ortega-Moral,
Jerónimo Arenas-García,
Aníbal R. Figueiras-Vidal:
Boosting by weighting boundary and erroneous samples.
ESANN 2005: 85-90 |
| 5 |  | Jerónimo Arenas-García,
Vanessa Gómez-Verdejo,
Sergio Muñoz-Romero,
Manuel Ortega-Moral,
Aníbal R. Figueiras-Vidal:
Fast Classification with Neural Networks via Confidence Rating.
IWANN 2005: 622-629 |
| 2003 |
| 4 |  | Jerónimo Arenas-García,
Aníbal R. Figueiras-Vidal,
Amanda J. C. Sharkey:
The Beneficial Effects of Using Multi-net Systems That Focus on Hard Patterns.
Multiple Classifier Systems 2003: 45-54 |
| 3 |  | E. Parrado-Hernández,
Jerónimo Arenas-García,
I. Mora-Jiménez,
Angel Navia-Vázquez:
On problem-oriented kernel refining.
Neurocomputing 55(1-2): 135-150 (2003) |
| 2 |  | E. Parrado-Hernández,
I. Mora-Jiménez,
Jerónimo Arenas-García,
Aníbal R. Figueiras-Vidal,
Angel Navia-Vázquez:
Growing support vector classifiers with controlled complexity.
Pattern Recognition 36(7): 1479-1488 (2003) |
| 2002 |
| 1 |  | I. Mora-Jiménez,
Abdelouahid Lyhyaoui,
Jerónimo Arenas-García,
Angel Navia-Vázquez,
Aníbal R. Figueiras-Vidal:
A Trainable Classifier via k Nearest Neighbors.
HIS 2002: 365-373 |