M. Paz Sesmero Lorente

According to our database1, M. Paz Sesmero Lorente authored at least 13 papers between 2007 and 2020.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2020
CCE: An ensemble architecture based on coupled ANN for solving multiclass problems.
Inf. Fusion, 2020

A Novel Evolving Ensemble Approach Based on Bootstrapping and Dynamic Selection of Diverse Learners.
Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

2018
Measuring Diversity and Accuracy in ANN Ensembles.
Proceedings of the Advances in Artificial Intelligence, 2018

2017
Forecasting Univariate Time Series by Input Transformation and Selection of the Suitable Model.
Proceedings of the Advances in Computational Intelligence, 2017

2016
Forecasting time series by an ensemble of Artificial Neural Networks based on transforming the time series.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

2015
Generating ensembles of heterogeneous classifiers using Stacked Generalization.
Wiley Interdiscip. Rev. Data Min. Knowl. Discov., 2015

An ensemble approach of dual base learners for multi-class classification problems.
Inf. Fusion, 2015

2014
Combining additive input noise annealing and pattern transformations for improved handwritten character recognition.
Expert Syst. Appl., 2014

CCE: An Approach to Improve the Accuracy in Ensembles by Using Diverse Base Learners.
Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014

2013
Handwritten Digit Recognition with Pattern Transformations and Neural Network Averaging.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

2012
A new artificial neural network ensemble based on feature selection and class recoding.
Neural Comput. Appl., 2012

2009
Ensemble of ANN for Traffic Sign Recognition.
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

2007
Specialized Ensemble of Classifiers for Traffic Sign Recognition.
Proceedings of the Computational and Ambient Intelligence, 2007


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