Rafael Messias Martins
Orcid: 0000-0002-2901-935XAffiliations:
- Linnaeus University, Department of Computer Science and Media Technology, Sweden
- University of São Paulo, Brazil (Phd 2016)
According to our database1,
Rafael Messias Martins
authored at least 37 papers
between 2011 and 2023.
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Bibliography
2023
VisRuler: Visual analytics for extracting decision rules from bagged and boosted decision trees.
Inf. Vis., April, 2023
The Flow of Trust: A Visualization Framework to Externalize, Explore, and Explain Trust in ML Applications.
IEEE Computer Graphics and Applications, 2023
Towards a Teacher-Oriented Framework of Visual Learning Analytics by Scenario-Based Development.
Proceedings of the Doctoral Consortium of the 18th European Conference on Technology Enhanced Learning (DCECTEL 2023) co-located with the 18th European Conference on Technology Enhanced Learning (EC-TEL 2023), 2023
2022
FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches.
IEEE Trans. Vis. Comput. Graph., 2022
Inf. Vis., 2022
SBGTool v2.0: An Empirical Study on a Similarity-Based Grouping Tool for Students' Learning Outcomes.
Data, 2022
Comput. Graph., 2022
2021
IEEE Trans. Vis. Comput. Graph., 2021
StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics.
IEEE Trans. Vis. Comput. Graph., 2021
Analyzing the quality of local and global multidimensional projections using performance evaluation planning.
Theor. Comput. Sci., 2021
VisEvol: Visual Analytics to Support Hyperparameter Search through Evolutionary Optimization.
Comput. Graph. Forum, 2021
A Statement Report on the Use of Multiple Embeddings for Visual Analytics of Multivariate Networks.
Proceedings of the 16th International Joint Conference on Computer Vision, 2021
Empirical Study: Visual Analytics for Comparing Stacking to Blending Ensemble Learning.
Proceedings of the 23rd International Conference on Control Systems and Computer Science, 2021
2020
IEEE Trans. Vis. Comput. Graph., 2020
J. Vis., 2020
A survey of surveys on the use of visualization for interpreting machine learning models.
Inf. Vis., 2020
Xtreaming: an incremental multidimensional projection technique and its application to streaming data.
CoRR, 2020
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations.
Comput. Graph. Forum, 2020
Progressive Multidimensional Projections: A Process Model based on Vector Quantization.
Proceedings of the 3rd Workshop on Machine Learning Methods in Visualisation for Big Data, 2020
2019
Visual Learning Analytics of Multidimensional Student Behavior in Self-regulated Learning.
Proceedings of the Transforming Learning with Meaningful Technologies, 2019
2018
Quality Models Inside Out: Interactive Visualization of Software Metrics by Means of Joint Probabilities.
Proceedings of the 2018 IEEE Working Conference on Software Visualization, 2018
Proceedings of the 11th International Symposium on Visual Information Communication and Interaction, 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
MVN-Reduce: Dimensionality Reduction for the Visual Analysis of Multivariate Networks.
Proceedings of the 19th Eurographics Conference on Visualization, 2017
Proceedings of the 2017 IEEE International Conference on Cloud Engineering, 2017
2016
Visualização explanatória de projeções multidimensionais (Explanatory visualization of multidimensional prejections).
PhD thesis, 2016
2015
Visual Text Mining: Ensuring the Presence of Relevant Studies in Systematic Literature Reviews.
Int. J. Softw. Eng. Knowl. Eng., 2015
Proceedings of the 6th International EuroVis Workshop on Visual Analytics, 2015
Proceedings of the Computer Graphics and Visual Computing, 2015
2014
Comput. Graph., 2014
2013
Proceedings of the XXVI Conference on Graphics, Patterns and Images, 2013
2012
J. Comput. Sci. Technol., 2012
2011
Using Visual Text Mining to Support the Study Selection Activity in Systematic Literature Reviews.
Proceedings of the 5th International Symposium on Empirical Software Engineering and Measurement, 2011