Pablo A. Estévez
Orcid: 0000-0001-9164-4722
According to our database1,
Pablo A. Estévez
authored at least 93 papers
between 1995 and 2023.
Collaborative distances:
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Bibliography
2023
Neural Comput. Appl., May, 2023
2022
Improving Astronomical Time-series Classification via Data Augmentation with Generative Adversarial Networks.
CoRR, 2022
CoRR, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
2021
The effect of phased recurrent units in the classification of multiple catalogs of astronomical lightcurves.
CoRR, 2021
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2021
2020
CoRR, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
2019
IEEE Comput. Intell. Mag., 2019
2018
Conference Report on 2018 IEEE World Congress on Computational Intelligence (IEEE WCCI 2018) [Conference Reports].
IEEE Comput. Intell. Mag., 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Latent representations of transient candidates from an astronomical image difference pipeline using Variational Autoencoders.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018
Ant Colony Optimization Algorithm for the Multiyear Transmission Network Expansion Planning.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
2017
Robust period estimation using mutual information for multi-band light curves in the synoptic survey era.
CoRR, 2017
CoRR, 2017
IEEE Comput. Intell. Mag., 2017
IEEE Comput. Intell. Mag., 2017
IEEE Comput. Intell. Mag., 2017
IEEE Comput. Intell. Mag., 2017
IEEE Comput. Intell. Mag., 2017
Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, 2017
Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, 2017
2016
IEEE Comput. Intell. Mag., 2016
IEEE Comput. Intell. Mag., 2016
IEEE Comput. Intell. Mag., 2016
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016
Big Data Era Challenges and Opportunities in Astronomy - How SOM/LVQ and Related Learning Methods Can Contribute?
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Sleep-spindle identification on EEG signals from polysomnographie recordings using correntropy.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
Information-Theoretic Measures and Sequential Monte Carlo Methods for Detection of Regeneration Phenomena in the Degradation of Lithium-Ion Battery Cells.
IEEE Trans. Reliab., 2015
Discriminating Variable Star Candidates in Large Image Databases from the HiTS Survey Using NMF.
Proceedings of the INNS Conference on Big Data 2015, 2015
2014
Neural Comput. Appl., 2014
CoRR, 2014
Computational Intelligence Challenges and Applications on Large-Scale Astronomical Time Series Databases.
IEEE Comput. Intell. Mag., 2014
K-Nearest Neighbor Nonnegative Matrix Factorization for Learning a Mixture of Local SOM Models.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014
A balanced sleep/wakefulness classification method based on actigraphic data in adolescents.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
IEEE CIS GOLD Report: Inaugural Elevator Pitch Competition and Other GOLD Activities [Society Briefs].
IEEE Comput. Intell. Mag., 2013
2012
An Information Theoretic Algorithm for Finding Periodicities in Stellar Light Curves.
IEEE Trans. Signal Process., 2012
IEEE Comput. Intell. Mag., 2012
IEEE Comput. Intell. Mag., 2012
Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012
Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
IEEE Signal Process. Lett., 2011
IEEE Comput. Intell. Mag., 2011
IEEE Comput. Intell. Mag., 2011
Proceedings of the Advances in Self-Organizing Maps - 8th International Workshop, 2011
Estimation of periodicity in non-uniformly sampled astronomical data using a 2D kernel in correntropy.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011
2010
IEEE Trans. Biomed. Eng., 2010
Pattern Recognit. Lett., 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010
2009
Automated visual inspection system for wood defect classification using computational intelligence techniques.
Int. J. Syst. Sci., 2009
IEEE Comput. Intell. Mag., 2009
Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009
Proceedings of the International Joint Conference on Neural Networks, 2009
2008
Russel C. Eberhart, Yuhui Shi: Computational Intelligence: Concepts to Implementation.
Genet. Program. Evolvable Mach., 2008
2007
IEEE Trans. Syst. Man Cybern. Part C, 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the IEEE Congress on Evolutionary Computation, 2007
2006
Extracting Fuzzy Rules From Polysomnographic Recordings for Infant Sleep Classification.
IEEE Trans. Biomed. Eng., 2006
Subscription fraud prevention in telecommunications using fuzzy rules and neural networks.
Expert Syst. Appl., 2006
Proceedings of the International Joint Conference on Neural Networks, 2006
Proceedings of the Artificial Neural Networks, 2006
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006
2005
Neural Networks, 2005
2004
Neural Process. Lett., 2004
Proceedings of the IEEE International Conference on Systems, 2004
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004
2003
Genetic design of biologically inspired receptive fields for neural pattern recognition.
IEEE Trans. Syst. Man Cybern. Part B, 2003
2002
Parallel Comput., 2002
2001
Designing biologically inspired receptive fields for neural pattern recognition technology.
Proceedings of the IEEE International Conference on Systems, 2001
2000
Proceedings of the IEEE International Conference on Systems, 2000
1995
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995