Daniel G. Silva
Orcid: 0000-0003-2858-1110Affiliations:
- University of Brasília, Brazil
- University of Campinas, Brazil (PhD 2013)
According to our database1,
Daniel G. Silva
authored at least 26 papers
between 2009 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Offshore Wind Plant Instance Segmentation Using Sentinel-1 Time Series, GIS, and Semantic Segmentation Models.
CoRR, 2023
A Data-Centric Approach for Rapid Dataset Generation Using Iterative Learning and Sparse Annotations.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
Database of Metagenomes of Sediments from Estuarine Aquaculture Farms in Portugal - AquaRAM Project Collection.
Data, 2022
2021
Monte Carlo execution time estimation for Privacy-preserving Distributed Function Evaluation protocols.
CoRR, 2021
Analyzing the effect of adding temporal features to an autoencoder-based video quality model.
Proceedings of the Image Quality and System Performance XVIII, Electronic Imaging 2021, 2021
2020
Algorithms, 2020
Proceedings of the 25th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2020
2019
Proceedings of the Computational Logistics - 10th International Conference, 2019
2018
IEEE Signal Process. Lett., 2018
Metaheuristics in Telecommunication Systems: Network Design, Routing, and Allocation Problems.
IEEE Syst. J., 2018
A 2-stage biased-randomized iterated local search for the uncapacitated single allocation p-hub median problem.
Trans. Emerg. Telecommun. Technol., 2018
Immune-Inspired Optimization with Autocorrentropy Function for Blind Inversion of Wiener Systems.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018
2017
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017
2016
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
2015
An immune-inspired, information-theoretic framework for blind inversion of Wiener systems.
Signal Process., 2015
2014
A Michigan-like immune-inspired framework for performing independent component analysis over Galois fields of prime order.
Signal Process., 2014
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Multimedia, 2014
2013
Information theoretic learning: contributions to signal separation over finite fields and inversion of Wiener systems.
PhD thesis, 2013
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
2012
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012
2011
An immune-inspired information-theoretic approach to the problem of ICA over a Galois field.
Proceedings of the 2011 IEEE Information Theory Workshop, 2011
2010
Machine Learning Methods and Asymmetric Cost Function to Estimate Execution Effort of Software Testing.
Proceedings of the Third International Conference on Software Testing, 2010
2009
Proceedings of the Second International Conference on Software Testing Verification and Validation, 2009