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ORCIDRafael Messias Martins
Person information
- affiliation: Linnaeus University, Department of Computer Science and Media Technology, Sweden
- affiliation (Phd 2016): University of São Paulo, Brazil
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2020 – today
- 2023
[j20]Stef van den Elzen
, Gennady L. Andrienko, Natalia V. Andrienko, Brian D. Fisher, Rafael Messias Martins, Jaakko Peltonen, Alexandru C. Telea, Michel Verleysen:
The Flow of Trust: A Visualization Framework to Externalize, Explore, and Explain Trust in ML Applications. IEEE Computer Graphics and Applications 43(2): 78-88 (2023)- [j19]Angelos Chatzimparmpas, Rafael Messias Martins, Andreas Kerren:
VisRuler: Visual analytics for extracting decision rules from bagged and boosted decision trees. Inf. Vis. 22(2): 115-139 (2023) - [c14]Zeynab (Artemis) Mohseni, Italo Masiello, Rafael Messias Martins:
Towards a Teacher-Oriented Framework of Visual Learning Analytics by Scenario-Based Development. EC-TEL (Doctoral Consortium) 2023: 12-17 - 2022
- [j18]Tácito Trindade de Araújo Tiburtino Neves, Rafael Messias Martins, Danilo Barbosa Coimbra, Kostiantyn Kucher, Andreas Kerren, Fernando V. Paulovich:
Fast and reliable incremental dimensionality reduction for streaming data. Comput. Graph. 102: 233-244 (2022) - [j17]Zeynab Mohseni, Rafael Messias Martins, Italo Masiello:
SBGTool v2.0: An Empirical Study on a Similarity-Based Grouping Tool for Students' Learning Outcomes. Data 7(7): 98 (2022) - [j16]Daniel Witschard, Ilir Jusufi, Rafael Messias Martins, Kostiantyn Kucher, Andreas Kerren:
Interactive optimization of embedding-based text similarity calculations. Inf. Vis. 21(4): 335-353 (2022) - [j15]Angelos Chatzimparmpas, Rafael Messias Martins, Kostiantyn Kucher, Andreas Kerren:
FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches. IEEE Trans. Vis. Comput. Graph. 28(4): 1773-1791 (2022) - [i9]Angelos Chatzimparmpas, Rafael Messias Martins, Ilir Jusufi, Kostiantyn Kucher, Fabrice Rossi, Andreas Kerren:
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations. CoRR abs/2212.11737 (2022) - 2021
- [j14]Elio Ventocilla, Rafael Messias Martins, Fernando Vieira Paulovich, Maria Riveiro:
Scaling the Growing Neural Gas for Visual Cluster Analysis. Big Data Res. 26: 100254 (2021) - [j13]Angelos Chatzimparmpas, Rafael Messias Martins, Kostiantyn Kucher, Andreas Kerren:
VisEvol: Visual Analytics to Support Hyperparameter Search through Evolutionary Optimization. Comput. Graph. Forum 40(3): 201-214 (2021) - [j12]Danilo Barbosa Coimbra, Rafael Messias Martins, Edson Mota, Tácito Trindade de Araújo Tiburtino Neves, Pedro Diamantino, Maycon L. M. Peixoto:
Analyzing the quality of local and global multidimensional projections using performance evaluation planning. Theor. Comput. Sci. 872: 41-54 (2021) - [j11]Angelos Chatzimparmpas, Rafael Messias Martins, Kostiantyn Kucher, Andreas Kerren:
StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics. IEEE Trans. Vis. Comput. Graph. 27(2): 1547-1557 (2021) - [j10]Mateus Espadoto, Rafael Messias Martins, Andreas Kerren, Nina S. T. Hirata, Alexandru C. Telea:
Toward a Quantitative Survey of Dimension Reduction Techniques. IEEE Trans. Vis. Comput. Graph. 27(3): 2153-2173 (2021) - [c13]Angelos Chatzimparmpas, Rafael Messias Martins, Kostiantyn Kucher, Andreas Kerren:
Empirical Study: Visual Analytics for Comparing Stacking to Blending Ensemble Learning. CSCS 2021: 1-8 - [c12]Daniel Witschard, Ilir Jusufi, Rafael Messias Martins, Andreas Kerren:
A Statement Report on the Use of Multiple Embeddings for Visual Analytics of Multivariate Networks. VISIGRAPP (3: IVAPP) 2021: 219-223 - [i8]Kátia Romero Felizardo, Norsaremah Salleh, Rafael Messias Martins, Emilia Mendes, Stephen G. MacDonell, José Carlos Maldonado:
Using Visual Text Mining to Support the Study Selection Activity in Systematic Literature Reviews. CoRR abs/2102.02934 (2021) - [i7]Angelos Chatzimparmpas, Rafael Messias Martins, Kostiantyn Kucher, Andreas Kerren:
FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches. CoRR abs/2103.14539 (2021) - [i6]Wilson Estécio Marcílio-Jr, Danilo Medeiros Eler, Fernando V. Paulovich, Rafael Messias Martins:
HUMAP: Hierarchical Uniform Manifold Approximation and Projection. CoRR abs/2106.07718 (2021) - [i5]Angelos Chatzimparmpas, Rafael Messias Martins, Andreas Kerren:
VisRuler: Visual Analytics for Extracting Decision Rules from Bagged and Boosted Decision Trees. CoRR abs/2112.00334 (2021) - 2020
- [j9]Angelos Chatzimparmpas, Rafael Messias Martins, Ilir Jusufi, Kostiantyn Kucher, Fabrice Rossi, Andreas Kerren:
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations. Comput. Graph. Forum 39(3): 713-756 (2020) - [j8]Angelos Chatzimparmpas, Rafael Messias Martins, Ilir Jusufi, Andreas Kerren:
A survey of surveys on the use of visualization for interpreting machine learning models. Inf. Vis. 19(3): 207-233 (2020) - [j7]Kostiantyn Kucher, Rafael Messias Martins, Carita Paradis, Andreas Kerren:
StanceVis Prime: visual analysis of sentiment and stance in social media texts. J. Vis. 23(6): 1015-1034 (2020) - [j6]Angelos Chatzimparmpas, Rafael Messias Martins, Andreas Kerren:
t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections. IEEE Trans. Vis. Comput. Graph. 26(8): 2696-2714 (2020) - [c11]Elio Alejandro Ventocilla, Rafael Messias Martins, Fernando V. Paulovich, Maria Riveiro:
Progressive Multidimensional Projections: A Process Model based on Vector Quantization. MLVis@Eurographics/EuroVis 2020: 1-5 - [i4]Angelos Chatzimparmpas, Rafael Messias Martins, Andreas Kerren:
t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections. CoRR abs/2002.06910 (2020) - [i3]Tácito T. A. T. Neves, Rafael Messias Martins, Danilo Barbosa Coimbra, Kostiantyn Kucher, Andreas Kerren, Fernando Vieira Paulovich:
Xtreaming: an incremental multidimensional projection technique and its application to streaming data. CoRR abs/2003.09017 (2020) - [i2]Angelos Chatzimparmpas, Rafael Messias Martins, Kostiantyn Kucher, Andreas Kerren:
StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics. CoRR abs/2005.01575 (2020) - [i1]Angelos Chatzimparmpas, Rafael Messias Martins, Kostiantyn Kucher, Andreas Kerren:
VisEvol: Visual Analytics to Support Hyperparameter Search through Evolutionary Optimization. CoRR abs/2012.01205 (2020)
2010 – 2019
- 2019
- [c10]Rafael Messias Martins, Elias Berge, Marcelo Milrad, Italo Masiello:
Visual Learning Analytics of Multidimensional Student Behavior in Self-regulated Learning. EC-TEL 2019: 737-741 - 2018
- [c9]Rafael Messias Martins, Andreas Kerren:
Efficient Dynamic Time Warping for Big Data Streams. IEEE BigData 2018: 2924-2929 - [c8]Kostiantyn Kucher, Rafael Messias Martins, Andreas Kerren:
Analysis of VINCI 2009-2017 Proceedings. VINCI 2018: 97-101 - [c7]Maria Ulan, Sebastian Hönel, Rafael Messias Martins, Morgan Ericsson, Welf Löwe, Anna Wingkvist, Andreas Kerren:
Quality Models Inside Out: Interactive Visualization of Software Metrics by Means of Joint Probabilities. VISSOFT 2018: 65-75 - 2017
- [j5]Johannes F. Kruiger, Paulo E. Rauber, Rafael Messias Martins, Andreas Kerren, Stephen G. Kobourov, Alexandru C. Telea:
Graph Layouts by t-SNE. Comput. Graph. Forum 36(3): 283-294 (2017) - [c6]Ricardo Ramos de Oliveira, Rafael Messias Martins, Adenilso da Silva Simão:
Impact of the Vendor Lock-in Problem on Testing as a Service (TaaS). IC2E 2017: 190-196 - [c5]Rafael Messias Martins, Johannes F. Kruiger, Rosane Minghim, Alexandru C. Telea, Andreas Kerren:
MVN-Reduce: Dimensionality Reduction for the Visual Analysis of Multivariate Networks. EuroVis (Short Papers) 2017: 13-17 - 2016
- [b1]Rafael Messias Martins:
Visualização explanatória de projeções multidimensionais (Explanatory visualization of multidimensional prejections). University of São Paulo, Brazil, 2016 - [j4]Danilo Barbosa Coimbra, Rafael Messias Martins, Tácito T. A. T. Neves, Alexandru C. Telea, Fernando Vieira Paulovich:
Explaining three-dimensional dimensionality reduction plots. Inf. Vis. 15(2): 154-172 (2016) - 2015
- [j3]Kátia Romero Felizardo, Ellen Francine Barbosa, Rafael Messias Martins, Pedro Henrique Dias Valle, José Carlos Maldonado:
Visual Text Mining: Ensuring the Presence of Relevant Studies in Systematic Literature Reviews. Int. J. Softw. Eng. Knowl. Eng. 25(5): 909-928 (2015) - [c4]Rafael Messias Martins, Rosane Minghim, Alexandru C. Telea:
Explaining Neighborhood Preservation for Multidimensional Projections. CGVC 2015: 7-14 - [c3]Renato R. O. da Silva, Paulo E. Rauber, Rafael Messias Martins, Rosane Minghim, Alexandru C. Telea:
Attribute-based Visual Explanation of Multidimensional Projections. EuroVA@EuroVis 2015: 31-35 - 2014
- [j2]Rafael Messias Martins, Danilo Barbosa Coimbra, Rosane Minghim, Alexandru C. Telea:
Visual analysis of dimensionality reduction quality for parameterized projections. Comput. Graph. 41: 26-42 (2014) - 2013
- [c2]Paulo A. Pagliosa, Rafael Messias Martins, Douglas Cedrim, Afonso Paiva, Rosane Minghim, Luis Gustavo Nonato:
MIST: Multiscale Information and Summaries of Texts. SIBGRAPI 2013: 91-98 - 2012
- [j1]Rafael Messias Martins, Gabriel de Faria Andery, Henry Heberle, Fernando Vieira Paulovich, Alneu de Andrade Lopes, Hélio Pedrini, Rosane Minghim:
Multidimensional Projections for Visual Analysis of Social Networks. J. Comput. Sci. Technol. 27(4): 791-810 (2012) - 2011
- [c1]Kátia Romero Felizardo, Norsaremah Salleh, Rafael Messias Martins, Emilia Mendes, Stephen G. MacDonell, José Carlos Maldonado:
Using Visual Text Mining to Support the Study Selection Activity in Systematic Literature Reviews. ESEM 2011: 77-86
Coauthor Index
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