Sergio Bermejo

27 papers B 3Misc 1Journal 18Unranked 5
YearRankTypeTitle / Venue / Authors
2024 J jnl
Enhancing Annotated Bibliography Generation with LLM Ensembles.
CoRR
Sergio Bermejo
2017 J jnl
Ensembles of wrappers for automated feature selection in fish age classification.
Comput. Electron. Agric.
Sergio Bermejo
2015 J jnl
A post-non-linear source separation algorithm for bounded magnitude sources and its application to ISFETs.
Neurocomputing
Sergio Bermejo
2007 J jnl
Finite sample effects of the fast ICA algorithm.
Neurocomputing
Sergio Bermejo
2007 J jnl
Fish age analysis and classification with kernel methods.
Pattern Recognit. Lett.
Sergio Bermejo, Brais Monegal
2006 J jnl
Independent Component Analysis for Solid-State Chemical Sensor Arrays.
Appl. Intell.
Sergio Bermejo
2006 J jnl
The regularized LVQ1 algorithm.
Neurocomputing
Sergio Bermejo
2005 J jnl
Cooperative electronic learning in virtual laboratories through forums.
IEEE Trans. Educ.
Sergio Bermejo
2005 J jnl
Finite sample effects in higher order statistics contrast functions for sequential blind source separation.
IEEE Signal Process. Lett.
Sergio Bermejo
2005 Misc conf
Multichannel Blind Signal Separation in Semiconductor-Based GAS Sensor Arrays.
IWANN
Guillermo Bedoya, Sergio Bermejo, Joan Cabestany
2004 J jnl
Ensemble Learning for Chemical Sensor Arrays.
Neural Process. Lett.
Sergio Bermejo, Joan Cabestany
2004 B conf
Information-theoretic approach to multichannel signal extraction by multiple interference cancellation in electrochemical array data.
IJCNN
Guillermo Bedoya, Sergio Bermejo, Joan Cabestany
2004 J jnl
Local Averaging of Ensembles of LVQ-Based Nearest Neighbor Classifiers.
Appl. Intell.
Sergio Bermejo, Joan Cabestany
2003 B conf
Comparison of neural algorithms for blind source separation in sensor array applications.
ESANN
Guillermo Bedoya, Sergio Bermejo, Joan Cabestany
2003 — conf
ISFET Source Separation Based on Linear ICA.
IWANN (2)
Sergio Bermejo
2003 — conf
Virtual Labs for Neural Networks E-courses.
IWANN (2)
Sergio Bermejo, Ferran Revilla, Joan Cabestany
2003 — conf
Web Meta-search Using Unsupervised Neural Networks.
IWANN (2)
Sergio Bermejo, Javier Dalmau
2002 J jnl
The effect of finite sample size on on-line K-means.
Neurocomputing
Sergio Bermejo, Joan Cabestany
2001 J jnl
Finite-Sample Convergence Properties of the LVQ1 Algorithm and the Batch LVQ1 Algorithm.
Neural Process. Lett.
Sergio Bermejo, Joan Cabestany
2001 — conf
Large Margin Nearest Neighbor Classifiers.
IWANN (1)
Sergio Bermejo, Joan Cabestany
2001 J jnl
Learning with Nearest Neighbour Classifiers.
Neural Process. Lett.
Sergio Bermejo, Joan Cabestany
2001 J jnl
Oriented principal component analysis for large margin classifiers.
Neural Networks
Sergio Bermejo, Joan Cabestany
2000 J jnl
A Batch Learning Vector Quantization Algorithm for Nearest Neighbour Classification.
Neural Process. Lett.
Sergio Bermejo, Joan Cabestany
2000 J jnl
Adaptive soft k-nearest-neighbour classifiers.
Pattern Recognit.
Sergio Bermejo, Joan Cabestany
1999 J jnl
Adaptive soft k-nearest-neighbor classifiers.
Pattern Recognit.
Sergio Bermejo, Joan Cabestany
1999 — conf
On-Line Gradient Learning Algorithms for K-Nearest Neighbor Classifiers.
IWANN (1)
Sergio Bermejo, Joan Cabestany
1998 B conf
A new dynamic LVQ-based classifier and its application to handwritten character recognition.
ESANN
Sergio Bermejo, Joan Cabestany, Magdalena Payeras-Capellà