Joaquín Torres-Sospedra

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2008

38 EE Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo: Decision Fusion on Boosting Ensembles. ANNPR 2008: 157-167

37 EE Mercedes Fernández-Redondo, Joaquín Torres-Sospedra, Carlos Hernández-Espinosa: The Mixture of Neural Networks as Ensemble Combiner. ANNPR 2008: 168-179

36 EE Carlos Hernández-Espinosa, Joaquín Torres-Sospedra, Mercedes Fernández-Redondo: Researching on Multi-net Systems Based on Stacked Generalization. ANNPR 2008: 193-204

35 EE Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo: Adding Diversity in Ensembles of Neural Networks by Reordering the Training Set. ICANN (1) 2008: 275-284

34 EE Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo: New Results on Combination Methods for Boosting Ensembles. ICANN (1) 2008: 285-294

33 EE Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo: Researching on combining boosting ensembles. IJCNN 2008: 2290-2295

2007

32 EE Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo: Averaged Conservative Boosting: Introducing a New Method to Build Ensembles of Neural Networks. ICANN (1) 2007: 309-318

31 EE Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo: Stacking MF Networks to Combine the Outputs Provided by RBF Networks. ICANN (1) 2007: 450-459

30 EE Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo: Mixing Aveboost and Conserboost to Improve Boosting Methods. IJCNN 2007: 672-677

29 EE Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo: Designing a Multilayer Feedforward Ensemble with the Weighted Conservative Boosting Algorithm. IJCNN 2007: 684-689

28 EE Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo: Improving Adaptive Boosting with a Relaxed Equation to Update the Sampling Distribution. IWANN 2007: 119-126

2006

27 EE Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo: Combining MF Networks: A Comparison Among Statistical Methods and Stacked Generalization. ANNPR 2006: 210-220

26 EE Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo: An Experimental Study on Training Radial Basis Functions by Gradient Descent. ANNPR 2006: 81-92

25 EE Mercedes Fernández-Redondo, Joaquín Torres-Sospedra, Carlos Hernández-Espinosa: Improving the Expert Networks of a Modular Multi-Net System for Pattern Recognition. ICANN (1) 2006: 293-302

24 EE Carlos Hernández-Espinosa, Joaquín Torres-Sospedra, Mercedes Fernández-Redondo: Improving the Combination Module with a Neural Network. ICIC (1) 2006: 146-155

23 EE Mercedes Fernández-Redondo, Joaquín Torres-Sospedra, Carlos Hernández-Espinosa: Gradient Descent and Radial Basis Functions. ICIC (1) 2006: 391-396

22 EE Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo: Improving Adaptive Boosting with k-Cross-Fold Validation. ICIC (1) 2006: 397-402

21 EE Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo: The Mixture of Neural Networks Adapted to Multilayer Feedforward Architecture. ICIC (1) 2006: 488-493

20 EE Mercedes Fernández-Redondo, Joaquín Torres-Sospedra, Carlos Hernández-Espinosa: Training RBFs Networks: A Comparison Among Supervised and Not Supervised Algorithms. ICONIP (1) 2006: 477-486

19 EE Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo: Mixture of Neural Networks: Some Experiments with the Multilayer Feedforward Architecture. ICONIP (1) 2006: 616-625

18 EE Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo: Adaptive Boosting: Dividing the Learning Set to Increase the Diversity and Performance of the Ensemble. ICONIP (1) 2006: 688-697

17 EE Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo: Designing a Multilayer Feedforward Ensembles with Cross Validated Boosting Algorithm. IJCNN 2006: 1278-1283

16 EE Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo: Designing a New Multilayer Feedforward Modular Network for Classification Problems. IJCNN 2006: 1284-1289

15 EE Mercedes Fernández-Redondo, Joaquín Torres-Sospedra, Carlos Hernández-Espinosa: Training Radial Basis Functions by Gradient Descent. IJCNN 2006: 756-762

2005

14 EE Carlos Hernández-Espinosa, Joaquín Torres-Sospedra, Mercedes Fernández-Redondo: Combination Methods for Ensembles of RBFs. ICANN (2) 2005: 121-126

13 EE Joaquín Torres-Sospedra, Mercedes Fernández-Redondo, Carlos Hernández-Espinosa: Combination Methods for Ensembles of MF. ICANN (2) 2005: 133-138

12 EE Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo: New Results on Ensembles of Multilayer Feedforward. ICANN (2) 2005: 139-144

11 EE Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo: Ensembles of Multilayer Feedforward: Some New Results. IWANN 2005: 604-611

2004

10 EE Mercedes Fernández-Redondo, Carlos Hernández-Espinosa, Mamen Ortiz-Gómez, Joaquín Torres-Sospedra: Training Radial Basis Functions by Gradient Descent. ICAISC 2004: 184-189

9 EE Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Joaquín Torres-Sospedra: Experiments on Ensembles of Radial Basis Functions. ICAISC 2004: 197-202

8 EE Mercedes Fernández-Redondo, Carlos Hernández-Espinosa, Mamen Ortiz-Gómez, Joaquín Torres-Sospedra: Some Experiments on Training Radial Basis Functions by Gradient Descent. ICONIP 2004: 428-433

7 EE Mercedes Fernández-Redondo, Carlos Hernández-Espinosa, Joaquín Torres-Sospedra: Multilayer Feedforward Ensembles for Classification Problems. ICONIP 2004: 744-749

6 EE Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Joaquín Torres-Sospedra: Ensembles of RBFs Trained by Gradient Descent. ISNN (1) 2004: 223-228

5 EE Mercedes Fernández-Redondo, Carlos Hernández-Espinosa, Mamen Ortiz-Gómez, Joaquín Torres-Sospedra: Gradient Descent Training of Radial Basis Functions. ISNN (1) 2004: 229-234

4 EE Mercedes Fernández-Redondo, Carlos Hernández-Espinosa, Joaquín Torres-Sospedra: Classification by Multilayer Feedforward Ensembles. ISNN (1) 2004: 852-857

3 EE Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Joaquín Torres-Sospedra: Some Experiments with Ensembles of Neural Networks for Classification of Hyperspectral Images. ISNN (1) 2004: 912-917

2 EE Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Joaquín Torres-Sospedra: Some Experiments on Ensembles of Neural Networks for Hyperspectral Image Classification. KES 2004: 677-684

1 EE Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Joaquín Torres-Sospedra: First Experiments on Ensembles of Radial Basis Functions. Multiple Classifier Systems 2004: 253-262

2008
38	EE	Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo: Decision Fusion on Boosting Ensembles. ANNPR 2008: 157-167
37	EE	Mercedes Fernández-Redondo, Joaquín Torres-Sospedra, Carlos Hernández-Espinosa: The Mixture of Neural Networks as Ensemble Combiner. ANNPR 2008: 168-179
36	EE	Carlos Hernández-Espinosa, Joaquín Torres-Sospedra, Mercedes Fernández-Redondo: Researching on Multi-net Systems Based on Stacked Generalization. ANNPR 2008: 193-204
35	EE	Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo: Adding Diversity in Ensembles of Neural Networks by Reordering the Training Set. ICANN (1) 2008: 275-284
34	EE	Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo: New Results on Combination Methods for Boosting Ensembles. ICANN (1) 2008: 285-294
33	EE	Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo: Researching on combining boosting ensembles. IJCNN 2008: 2290-2295
2007
32	EE	Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo: Averaged Conservative Boosting: Introducing a New Method to Build Ensembles of Neural Networks. ICANN (1) 2007: 309-318
31	EE	Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo: Stacking MF Networks to Combine the Outputs Provided by RBF Networks. ICANN (1) 2007: 450-459
30	EE	Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo: Mixing Aveboost and Conserboost to Improve Boosting Methods. IJCNN 2007: 672-677
29	EE	Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo: Designing a Multilayer Feedforward Ensemble with the Weighted Conservative Boosting Algorithm. IJCNN 2007: 684-689
28	EE	Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo: Improving Adaptive Boosting with a Relaxed Equation to Update the Sampling Distribution. IWANN 2007: 119-126
2006
27	EE	Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo: Combining MF Networks: A Comparison Among Statistical Methods and Stacked Generalization. ANNPR 2006: 210-220
26	EE	Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo: An Experimental Study on Training Radial Basis Functions by Gradient Descent. ANNPR 2006: 81-92
25	EE	Mercedes Fernández-Redondo, Joaquín Torres-Sospedra, Carlos Hernández-Espinosa: Improving the Expert Networks of a Modular Multi-Net System for Pattern Recognition. ICANN (1) 2006: 293-302
24	EE	Carlos Hernández-Espinosa, Joaquín Torres-Sospedra, Mercedes Fernández-Redondo: Improving the Combination Module with a Neural Network. ICIC (1) 2006: 146-155
23	EE	Mercedes Fernández-Redondo, Joaquín Torres-Sospedra, Carlos Hernández-Espinosa: Gradient Descent and Radial Basis Functions. ICIC (1) 2006: 391-396
22	EE	Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo: Improving Adaptive Boosting with k-Cross-Fold Validation. ICIC (1) 2006: 397-402
21	EE	Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo: The Mixture of Neural Networks Adapted to Multilayer Feedforward Architecture. ICIC (1) 2006: 488-493
20	EE	Mercedes Fernández-Redondo, Joaquín Torres-Sospedra, Carlos Hernández-Espinosa: Training RBFs Networks: A Comparison Among Supervised and Not Supervised Algorithms. ICONIP (1) 2006: 477-486
19	EE	Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo: Mixture of Neural Networks: Some Experiments with the Multilayer Feedforward Architecture. ICONIP (1) 2006: 616-625
18	EE	Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo: Adaptive Boosting: Dividing the Learning Set to Increase the Diversity and Performance of the Ensemble. ICONIP (1) 2006: 688-697
17	EE	Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo: Designing a Multilayer Feedforward Ensembles with Cross Validated Boosting Algorithm. IJCNN 2006: 1278-1283
16	EE	Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo: Designing a New Multilayer Feedforward Modular Network for Classification Problems. IJCNN 2006: 1284-1289
15	EE	Mercedes Fernández-Redondo, Joaquín Torres-Sospedra, Carlos Hernández-Espinosa: Training Radial Basis Functions by Gradient Descent. IJCNN 2006: 756-762
2005
14	EE	Carlos Hernández-Espinosa, Joaquín Torres-Sospedra, Mercedes Fernández-Redondo: Combination Methods for Ensembles of RBFs. ICANN (2) 2005: 121-126
13	EE	Joaquín Torres-Sospedra, Mercedes Fernández-Redondo, Carlos Hernández-Espinosa: Combination Methods for Ensembles of MF. ICANN (2) 2005: 133-138
12	EE	Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo: New Results on Ensembles of Multilayer Feedforward. ICANN (2) 2005: 139-144
11	EE	Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo: Ensembles of Multilayer Feedforward: Some New Results. IWANN 2005: 604-611
2004
10	EE	Mercedes Fernández-Redondo, Carlos Hernández-Espinosa, Mamen Ortiz-Gómez, Joaquín Torres-Sospedra: Training Radial Basis Functions by Gradient Descent. ICAISC 2004: 184-189
9	EE	Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Joaquín Torres-Sospedra: Experiments on Ensembles of Radial Basis Functions. ICAISC 2004: 197-202
8	EE	Mercedes Fernández-Redondo, Carlos Hernández-Espinosa, Mamen Ortiz-Gómez, Joaquín Torres-Sospedra: Some Experiments on Training Radial Basis Functions by Gradient Descent. ICONIP 2004: 428-433
7	EE	Mercedes Fernández-Redondo, Carlos Hernández-Espinosa, Joaquín Torres-Sospedra: Multilayer Feedforward Ensembles for Classification Problems. ICONIP 2004: 744-749
6	EE	Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Joaquín Torres-Sospedra: Ensembles of RBFs Trained by Gradient Descent. ISNN (1) 2004: 223-228
5	EE	Mercedes Fernández-Redondo, Carlos Hernández-Espinosa, Mamen Ortiz-Gómez, Joaquín Torres-Sospedra: Gradient Descent Training of Radial Basis Functions. ISNN (1) 2004: 229-234
4	EE	Mercedes Fernández-Redondo, Carlos Hernández-Espinosa, Joaquín Torres-Sospedra: Classification by Multilayer Feedforward Ensembles. ISNN (1) 2004: 852-857
3	EE	Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Joaquín Torres-Sospedra: Some Experiments with Ensembles of Neural Networks for Classification of Hyperspectral Images. ISNN (1) 2004: 912-917
2	EE	Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Joaquín Torres-Sospedra: Some Experiments on Ensembles of Neural Networks for Hyperspectral Image Classification. KES 2004: 677-684
1	EE	Carlos Hernández-Espinosa, Mercedes Fernández-Redondo, Joaquín Torres-Sospedra: First Experiments on Ensembles of Radial Basis Functions. Multiple Classifier Systems 2004: 253-262

Coauthor Index

1 Mercedes Fernández-Redondo [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38]

2 Carlos Hernández-Espinosa [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38]

3 Mamen Ortiz-Gómez [5] [8] [10]

1	Mercedes Fernández-Redondo	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38]
2	Carlos Hernández-Espinosa	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38]
3	Mamen Ortiz-Gómez	[5] [8] [10]