Rodrigo C. Barros
Orcid: 0000-0002-0782-9482
According to our database1,
Rodrigo C. Barros
authored at least 107 papers
between 2008 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Knowl. Eng. Rev., 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Radiomics for Predicting Oxygen Necessity in COVID-19 Patients Using Longitudinal Lung Computed Tomography.
Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023
Zero-Shot Performance of the Segment Anything Model (SAM) in 2D Medical Imaging: A Comprehensive Evaluation and Practical Guidelines.
Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023
2022
Debiasing Methods for Fairer Neural Models in Vision and Language Research: A Survey.
CoRR, 2022
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022
2021
Explainable Machine Learning for COVID-19 Pneumonia Classification With Texture-Based Features Extraction in Chest Radiography.
Frontiers Digit. Health, 2021
An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms.
Evol. Intell., 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
An Extensive Experimental Evaluation of Automated Machine Learning Methods for Recommending Classification Algorithms (Extended Version).
CoRR, 2020
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020
Can We Trust Deep Learning Based Diagnosis? The Impact of Domain Shift in Chest Radiograph Classification.
Proceedings of the Thoracic Image Analysis - Second International Workshop, 2020
How Does Computer Animation Affect Our Perception of Emotions in Video Summarization?
Proceedings of the Advances in Visual Computing - 15th International Symposium, 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 Intelligent Systems - 9th Brazilian Conference, 2020
Proceedings of the 31st British Machine Vision Conference 2020, 2020
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
CrowdEst: a method for estimating (and not simulating) crowd evacuation parameters in generic environments.
Vis. Comput., 2019
Unsupervised domain adaptation for medical imaging segmentation with self-ensembling.
NeuroImage, 2019
Can we trust deep learning models diagnosis? The impact of domain shift in chest radiograph classification.
CoRR, 2019
Appl. Soft Comput., 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019
2018
Pattern Recognit. Lett., 2018
Neurocomputing, 2018
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018
A multi-task neural network for multilingual sentiment classification and language detection on Twitter.
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018
Seamless Nudity Censorship: an Image-to-Image Translation Approach based on Adversarial Training.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Evaluating the Feasibility of Deep Learning for Action Recognition in Small Datasets.
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 35th International Conference on Machine Learning, 2018
Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
2017
Movie genre classification: A multi-label approach based on convolutions through time.
Appl. Soft Comput., 2017
Proceedings of the Symposium on Applied Computing, 2017
Proceedings of the Symposium on Applied Computing, 2017
A character-based convolutional neural network for language-agnostic Twitter sentiment analysis.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Virtual guide dog: An application to support visually-impaired people through deep convolutional neural networks.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Media Professionals' Opinions about Interactive Visualizations of Political Polarization during Brazilian Presidential Campaigns on Twitter.
Proceedings of the 50th Hawaii International Conference on System Sciences, 2017
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017
An Efficient Deep Neural Architecture for Multilingual Sentiment Analysis in Twitter.
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Reduction strategies for hierarchical multi-label classification in protein function prediction.
BMC Bioinform., 2016
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Enhancing discrimination power with genetic feature construction: A grammatical evolution approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
Proceedings of the 5th Brazilian Conference on Intelligent Systems, 2016
2015
Springer Briefs in Computer Science, Springer, ISBN: 978-3-319-14231-9, 2015
Investigating fitness functions for a hyper-heuristic evolutionary algorithm in the context of balanced and imbalanced data classification.
Genet. Program. Evolvable Mach., 2015
Comput. Intell. Neurosci., 2015
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015
Hierarchical classification of Gene Ontology-based protein functions with neural networks.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
Clustering Molecular Dynamics Trajectories with a univariate estimation of distribution algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015
2014
Evolutionary Design of Decision-Tree Algorithms Tailored to Microarray Gene Expression Data Sets.
IEEE Trans. Evol. Comput., 2014
J. Comput. Syst. Sci., 2014
Evolving decision trees with beam search-based initialization and lexicographic multi-objective evaluation.
Inf. Sci., 2014
Evolving relational hierarchical classification rules for predicting gene ontology-based protein functions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
A grammatical evolution based hyper-heuristic for the automatic design of split criteria.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
2013
PhD thesis, 2013
Hierarchical Bottom-Up Safe Semi-Supervised Support Vector Machines for Multi-Class Transductive Learning.
J. Inf. Data Manag., 2013
Evol. Comput., 2013
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013
Probabilistic Clustering for Hierarchical Multi-Label Classification of Protein Functions.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
A grammatical evolution algorithm for generation of Hierarchical Multi-Label Classification rules.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
Proceedings of the Brazilian Conference on Intelligent Systems, 2013
2012
IEEE Trans. Syst. Man Cybern. Part C, 2012
Clus-DTI: improving decision-tree classification with a clustering-based decision-tree induction algorithm.
J. Braz. Comput. Soc., 2012
Automatic design of decision-tree induction algorithms tailored to flexible-receptor docking data.
BMC Bioinform., 2012
Improving the offline clustering stage of data stream algorithms in scenarios with variable number of clusters.
Proceedings of the ACM Symposium on Applied Computing, 2012
Proceedings of the ACM Symposium on Applied Computing, 2012
Proceedings of the ACM Symposium on Applied Computing, 2012
A hyper-heuristic evolutionary algorithm for automatically designing decision-tree algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012
2011
Inf. Sci., 2011
Hierarchical multi-label classification for protein function prediction: A local approach based on neural networks.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
2010
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010
2009
Int. J. Bio Inspired Comput., 2009
LEGAL-tree: a lexicographic multi-objective genetic algorithm for decision tree induction.
Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009
2008
Proceedings of the 32nd Annual IEEE Software Engineering Workshop, 2008