 | 2012 |
| 12 |  | Cristina Soguero-Ruiz,
Francisco Javier Gimeno-Blanes,
Inmaculada Mora-Jiménez,
María Pilar Martínez-Ruiz,
José Luis Rojo-Álvarez:
Deal Effect Curve and Promotional Models - Using Machine Learning and Bootstrap Resampling Test.
ICPRAM (2) 2012: 537-540 |
| 11 |  | M. Sanromán-Junquera,
Inmaculada Mora-Jiménez,
Antonio J. Caamaño,
J. Almendral,
Felipe Alonso Atienza,
L. Castilla,
Arcadi García-Alberola,
José Luis Rojo-Álvarez:
Digital recovery of biomedical signals from binary images.
Signal Processing 92(1): 43-53 (2012) |
| 10 |  | Carlos Figuera,
José Luis Rojo-Álvarez,
Mark Wilby,
Inmaculada Mora-Jiménez,
Antonio J. Caamaño:
Advanced support vector machines for 802.11 indoor location.
Signal Processing 92(9): 2126-2136 (2012) |
| 2011 |
| 9 |  | Carlos Figuera,
José Luis Rojo-Álvarez,
Inmaculada Mora-Jiménez,
Alicia Guerrero-Curieses,
Mark Wilby,
Javier Ramos-Lopez:
Time-Space Sampling and Mobile Device Calibration for WiFi Indoor Location Systems.
IEEE Trans. Mob. Comput. 10(7): 913-926 (2011) |
| 2010 |
| 8 |  | Eduardo Morgado,
Inmaculada Mora-Jiménez,
Juan J. Vinagre,
Javier Ramos,
Antonio J. Caamaño:
End-to-End Average BER in Multihop Wireless Networks over Fading Channels.
IEEE Transactions on Wireless Communications 9(8): 2478-2487 (2010) |
| 2009 |
| 7 |  | Carlos Figuera,
Inmaculada Mora-Jiménez,
Alicia Guerrero-Curieses,
José Luis Rojo-Álvarez,
Estrella Everss,
Mark Wilby,
Javier Ramos-Lopez:
Nonparametric Model Comparison and Uncertainty Evaluation for Signal Strength Indoor Location.
IEEE Trans. Mob. Comput. 8(9): 1250-1264 (2009) |
| 6 |  | I. Mora-Jiménez,
Aníbal R. Figueiras-Vidal:
Improving performance of neural classifiers via selective reduction of target levels.
Neurocomputing 72(13-15): 3020-3027 (2009) |
| 2005 |
| 5 |  | Inmaculada Mora-Jiménez,
Jesús Cid-Sueiro:
A universal learning rule that minimizes well-formed cost functions.
IEEE Transactions on Neural Networks 16(4): 810-820 (2005) |
| 2003 |
| 4 |  | Emilio Parrado-Hernández,
Jerónimo Arenas-García,
I. Mora-Jiménez,
Angel Navia-Vázquez:
On problem-oriented kernel refining.
Neurocomputing 55(1-2): 135-150 (2003) |
| 3 |  | Emilio 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 |
| 2 |  | 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 |
| 2000 |
| 1 |  | I. Mora-Jiménez,
Angel Navia-Vázquez:
A New Spread Spectrum Watermarking Method with Self-Synchronization Capabilities.
ICIP 2000 |