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ORCIDSergio Bermejo
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2010 – 2019
- 2017
[j17]Sergio Bermejo:
Ensembles of wrappers for automated feature selection in fish age classification. Comput. Electron. Agric. 134: 27-32 (2017)- 2015
- [j16]Sergio Bermejo:
A post-non-linear source separation algorithm for bounded magnitude sources and its application to ISFETs. Neurocomputing 148: 477-486 (2015)
2000 – 2009
- 2007
- [j15]Sergio Bermejo:
Finite sample effects of the fast ICA algorithm. Neurocomputing 71(1-3): 392-399 (2007) - [j14]Sergio Bermejo, Brais Monegal:
Fish age analysis and classification with kernel methods. Pattern Recognit. Lett. 28(10): 1164-1171 (2007) - 2006
- [j13]Sergio Bermejo:
Independent Component Analysis for Solid-State Chemical Sensor Arrays. Appl. Intell. 24(1): 61-73 (2006) - [j12]Sergio Bermejo:
The regularized LVQ1 algorithm. Neurocomputing 70(1-3): 475-488 (2006) - 2005
- [j11]Sergio Bermejo:
Finite sample effects in higher order statistics contrast functions for sequential blind source separation. IEEE Signal Process. Lett. 12(6): 481-484 (2005) - [j10]Sergio Bermejo:
Cooperative electronic learning in virtual laboratories through forums. IEEE Trans. Educ. 48(1): 140-149 (2005) - [c8]Guillermo Bedoya, Sergio Bermejo, Joan Cabestany:
Multichannel Blind Signal Separation in Semiconductor-Based GAS Sensor Arrays. IWANN 2005: 1059-1066 - 2004
- [j9]Sergio Bermejo, Joan Cabestany
:
Local Averaging of Ensembles of LVQ-Based Nearest Neighbor Classifiers. Appl. Intell. 20(1): 47-58 (2004) - [j8]Sergio Bermejo, Joan Cabestany:
Ensemble Learning for Chemical Sensor Arrays. Neural Process. Lett. 19(1): 25-35 (2004) - 2003
- [c7]Guillermo Bedoya, Sergio Bermejo, Joan Cabestany:
Comparison of neural algorithms for blind source separation in sensor array applications. ESANN 2003: 131-136 - [c6]Sergio Bermejo:
ISFET Source Separation Based on Linear ICA. IWANN (2) 2003: 297-304 - [c5]Sergio Bermejo, Javier Dalmau:
Web Meta-search Using Unsupervised Neural Networks. IWANN (2) 2003: 711-718 - [c4]Sergio Bermejo, Ferran Revilla, Joan Cabestany:
Virtual Labs for Neural Networks E-courses. IWANN (2) 2003: 719-725 - 2002
- [j7]Sergio Bermejo, Joan Cabestany:
The effect of finite sample size on on-line K-means. Neurocomputing 48(1-4): 511-539 (2002) - 2001
- [j6]Sergio Bermejo, Joan Cabestany:
Oriented principal component analysis for large margin classifiers. Neural Networks 14(10): 1447-1461 (2001) - [j5]Sergio Bermejo, Joan Cabestany:
Finite-Sample Convergence Properties of the LVQ1 Algorithm and the Batch LVQ1 Algorithm. Neural Process. Lett. 13(2): 135-157 (2001) - [j4]Sergio Bermejo, Joan Cabestany:
Learning with Nearest Neighbour Classifiers. Neural Process. Lett. 13(2): 159-181 (2001) - [c3]Sergio Bermejo, Joan Cabestany:
Large Margin Nearest Neighbor Classifiers. IWANN (1) 2001: 669-676 - 2000
- [j3]Sergio Bermejo, Joan Cabestany:
A Batch Learning Vector Quantization Algorithm for Nearest Neighbour Classification. Neural Process. Lett. 11(3): 173-184 (2000) - [j2]Sergio Bermejo, Joan Cabestany:
Adaptive soft k-nearest-neighbour classifiers. Pattern Recognit. 33(12): 1999-2005 (2000)
1990 – 1999
- 1999
- [j1]Sergio Bermejo, Joan Cabestany:
Adaptive soft k-nearest-neighbor classifiers. Pattern Recognit. 32(12): 2077-2079 (1999) - [c2]Sergio Bermejo, Joan Cabestany:
On-Line Gradient Learning Algorithms for K-Nearest Neighbor Classifiers. IWANN (1) 1999: 546-555 - 1998
- [c1]Sergio Bermejo, Joan Cabestany, Magdalena Payeras-Capellà:
A new dynamic LVQ-based classifier and its application to handwritten character recognition. ESANN 1998: 203-208
Coauthor Index
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