Daniel G. Silva

Orcid: 0000-0003-2858-1110

Affiliations:
  • University of Brasília, Brazil
  • University of Campinas, Brazil (PhD 2013)


According to our database1, Daniel G. Silva authored at least 29 papers between 2009 and 2024.

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

Timeline

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Bibliography

2024
<i>Solvate Suite</i>: A Command-Line Interface for Molecular Simulations and Multiscale Microsolvation Modeling.
J. Chem. Inf. Model., 2024

Sparse Point Annotations and Iterative Active Learning for Vehicle Detection.
Proceedings of the IGARSS 2024, 2024

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

Amodal Segmentation Considering Visible and Non-Visible Elements of Urban Surfaces.
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
A Hybrid Metaheuristic Algorithm for the Efficient Placement of UAVs.
Algorithms, 2020

Performance of Metaheuristic Algorithms for the Controller Placement Problem in SDN.
Proceedings of the 25th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2020

2019
Optimization of the p-Hub Median Problem via Artificial Immune Systems.
Proceedings of the Computational Logistics - 10th International Conference, 2019

2018
Simulated Annealing for Independent Component Analysis Over Galois Fields.
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

Equity Trading at the Brazilian Stock Market Using a Q-Learning Based System.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017
Blind channel equalization of encoded data over galois fields.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

2016
An Immune-Inspired, Dependence-Based Approach to Blind Inversion of Wiener Systems.
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

cobICA: A concentration-based, immune-inspired algorithm for ICA over Galois fields.
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

The modified MEXICO for ICA over finite fields.
Signal Process., 2013

Blind separation of convolutive mixtures over Galois fields.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Error entropy criterion in echo state network training.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2012
A modified version of the MEXICO algorithm for performing ICA over Galois fields.
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
A Simple Approach for Estimation of Execution Effort of Functional Test Cases.
Proceedings of the Second International Conference on Software Testing Verification and Validation, 2009


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