Rafael Messias Martins

58 papers A 1B 3C 2Journal 39Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Adversarial attacks on machine learning-aided visualizations. J. Vis. Takanori Fujiwara, Kostiantyn Kucher, Junpeng Wang, Rafael Messias Martins, Andreas Kerren, Anders Ynnerman
2025	J	`jnl`	ColorPCA: Scalable Colored Dimensionality Reduction for Unlabeled High-Dimensional Data. IEEE Access Wenqiang Cui, Shehzad Afzal, Rafael Messias Martins, Sohaib Ghani, Ibrahim Hoteit
2025	J	`jnl`	HUMAP: Hierarchical Uniform Manifold Approximation and Projection. IEEE Trans. Vis. Comput. Graph. Wilson Estécio Marcílio Júnior, Danilo Medeiros Eler, Fernando V. Paulovich, Rafael Messias Martins
2025	—	`conf`	Visualizing Communities in Dynamic Multivariate Networks. SIBGRAPI Karen Larkina, Oksana Holomsha, Lucas Lemos, Amílcar Soares, Rafael Messias Martins, Andreas Kerren, Vinicius R. P. Borges, Célia G. Ralha, Jean R. Ponciano, Claudio D. G. Linhares
2025	—	`conf`	Visualizing Feature Importance of Time Series Data in Discrete-Event Simulations using Shapley Additive Explanations. SIGSIM-PADS Samuele Giussani, Rafael Messias Martins, Amílcar Soares, Mauro Caporuscio, Diego Perez-Palacin
2024	J	`jnl`	A Grid-Based Method for Removing Overlaps of Dimensionality Reduction Scatterplot Layouts. IEEE Trans. Vis. Comput. Graph. Gladys M. H. Hilasaca, Wilson Estécio Marcílio-Jr, Danilo Medeiros Eler, Rafael Messias Martins, Fernando V. Paulovich
2024	J	`jnl`	A technical infrastructure for primary education data that contributes to data standardization. Educ. Inf. Technol. Zeynab (Artemis) Mohseni, Italo Masiello, Rafael Messias Martins
2024	J	`jnl`	Adversarial Attacks on Machine Learning-Aided Visualizations. CoRR Takanori Fujiwara, Kostiantyn Kucher, Junpeng Wang, Rafael Messias Martins, Andreas Kerren, Anders Ynnerman
2024	J	`jnl`	DeforestVis: Behaviour Analysis of Machine Learning Models with Surrogate Decision Stumps. Comput. Graph. Forum Angelos Chatzimparmpas, Rafael Messias Martins, Alexandru C. Telea, Andreas Kerren
2024	—	`conf`	DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting Machine. MLVis@EuroVis Parisa Salmanian, Angelos Chatzimparmpas, Ali Can Karaca, Rafael Messias Martins
2024	J	`jnl`	DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting Machine. CoRR Parisa Salmanian, Angelos Chatzimparmpas, Ali Can Karaca, Rafael Messias Martins
2024	J	`jnl`	Visual Learning Analytics for Educational Interventions in Primary and Secondary Schools: A Scoping Review. J. Learn. Anal. Zeynab Mohseni, Italo Masiello, Rafael Messias Martins, Susanna Nordmark
2023	J	`jnl`	DeforestVis: Behavior Analysis of Machine Learning Models with Surrogate Decision Stumps. CoRR Angelos Chatzimparmpas, Rafael Messias Martins, Alexandru C. Telea, Andreas Kerren
2023	J	`jnl`	The Flow of Trust: A Visualization Framework to Externalize, Explore, and Explain Trust in ML Applications. IEEE Computer Graphics and Applications Stef van den Elzen, Gennady L. Andrienko, Natalia V. Andrienko, Brian D. Fisher, Rafael Messias Martins, Jaakko Peltonen, Alexandru C. Telea, Michel Verleysen
2023	—	`conf`	Towards a Teacher-Oriented Framework of Visual Learning Analytics by Scenario-Based Development. EC-TEL (Doctoral Consortium) Zeynab (Artemis) Mohseni, Italo Masiello, Rafael Messias Martins
2023	J	`jnl`	VisRuler: Visual analytics for extracting decision rules from bagged and boosted decision trees. Inf. Vis. Angelos Chatzimparmpas, Rafael Messias Martins, Andreas Kerren
2022	J	`jnl`	Fast and reliable incremental dimensionality reduction for streaming data. Comput. Graph. Tácito Trindade de Araújo Tiburtino Neves, Rafael Messias Martins, Danilo Barbosa Coimbra, Kostiantyn Kucher, Andreas Kerren, Fernando V. Paulovich
2022	J	`jnl`	FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches. IEEE Trans. Vis. Comput. Graph. Angelos Chatzimparmpas, Rafael Messias Martins, Kostiantyn Kucher, Andreas Kerren
2022	J	`jnl`	Interactive optimization of embedding-based text similarity calculations. Inf. Vis. Daniel Witschard, Ilir Jusufi, Rafael Messias Martins, Kostiantyn Kucher, Andreas Kerren
2022	J	`jnl`	SBGTool v2.0: An Empirical Study on a Similarity-Based Grouping Tool for Students' Learning Outcomes. Data Zeynab Mohseni, Rafael Messias Martins, Italo Masiello
2022	J	`jnl`	The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations. CoRR Angelos Chatzimparmpas, Rafael Messias Martins, Ilir Jusufi, Kostiantyn Kucher, Fabrice Rossi, Andreas Kerren
2021	—	`conf`	A Statement Report on the Use of Multiple Embeddings for Visual Analytics of Multivariate Networks. VISIGRAPP (3: IVAPP) Daniel Witschard, Ilir Jusufi, Rafael Messias Martins, Andreas Kerren
2021	J	`jnl`	Analyzing the quality of local and global multidimensional projections using performance evaluation planning. Theor. Comput. Sci. Danilo Barbosa Coimbra, Rafael Messias Martins, Edson Mota, Tácito Trindade de Araújo Tiburtino Neves, Pedro Diamantino, Maycon L. M. Peixoto
2021	—	`conf`	Empirical Study: Visual Analytics for Comparing Stacking to Blending Ensemble Learning. CSCS Angelos Chatzimparmpas, Rafael Messias Martins, Kostiantyn Kucher, Andreas Kerren
2021	J	`jnl`	FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches. CoRR Angelos Chatzimparmpas, Rafael Messias Martins, Kostiantyn Kucher, Andreas Kerren
2021	J	`jnl`	HUMAP: Hierarchical Uniform Manifold Approximation and Projection. CoRR Wilson Estécio Marcílio-Jr, Danilo Medeiros Eler, Fernando V. Paulovich, Rafael Messias Martins
2021	J	`jnl`	Scaling the Growing Neural Gas for Visual Cluster Analysis. Big Data Res. Elio Ventocilla, Rafael Messias Martins, Fernando Vieira Paulovich, Maria Riveiro
2021	J	`jnl`	StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics. IEEE Trans. Vis. Comput. Graph. Angelos Chatzimparmpas, Rafael Messias Martins, Kostiantyn Kucher, Andreas Kerren
2021	J	`jnl`	Toward a Quantitative Survey of Dimension Reduction Techniques. IEEE Trans. Vis. Comput. Graph. Mateus Espadoto, Rafael Messias Martins, Andreas Kerren, Nina S. T. Hirata, Alexandru C. Telea
2021	J	`jnl`	Using Visual Text Mining to Support the Study Selection Activity in Systematic Literature Reviews. CoRR Kátia Romero Felizardo, Norsaremah Salleh, Rafael Messias Martins, Emilia Mendes, Stephen G. MacDonell, José Carlos Maldonado
2021	J	`jnl`	VisEvol: Visual Analytics to Support Hyperparameter Search through Evolutionary Optimization. Comput. Graph. Forum Angelos Chatzimparmpas, Rafael Messias Martins, Kostiantyn Kucher, Andreas Kerren
2021	J	`jnl`	VisRuler: Visual Analytics for Extracting Decision Rules from Bagged and Boosted Decision Trees. CoRR Angelos Chatzimparmpas, Rafael Messias Martins, Andreas Kerren
2020	J	`jnl`	A survey of surveys on the use of visualization for interpreting machine learning models. Inf. Vis. Angelos Chatzimparmpas, Rafael Messias Martins, Ilir Jusufi, Andreas Kerren
2020	C	`conf`	Improving Classification in Imbalanced Educational Datasets using Over-sampling. ICCE Zeynab Mohseni, Rafael Messias Martins, Marcelo Milrad, Italo Masiello
2020	—	`conf`	Progressive Multidimensional Projections: A Process Model based on Vector Quantization. MLVis@Eurographics/EuroVis Elio Alejandro Ventocilla, Rafael Messias Martins, Fernando V. Paulovich, Maria Riveiro
2020	J	`jnl`	StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics. CoRR Angelos Chatzimparmpas, Rafael Messias Martins, Kostiantyn Kucher, Andreas Kerren
2020	J	`jnl`	StanceVis Prime: visual analysis of sentiment and stance in social media texts. J. Vis. Kostiantyn Kucher, Rafael Messias Martins, Carita Paradis, Andreas Kerren
2020	J	`jnl`	The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations. Comput. Graph. Forum Angelos Chatzimparmpas, Rafael Messias Martins, Ilir Jusufi, Kostiantyn Kucher, Fabrice Rossi, Andreas Kerren
2020	J	`jnl`	VisEvol: Visual Analytics to Support Hyperparameter Search through Evolutionary Optimization. CoRR Angelos Chatzimparmpas, Rafael Messias Martins, Kostiantyn Kucher, Andreas Kerren
2020	J	`jnl`	Xtreaming: an incremental multidimensional projection technique and its application to streaming data. CoRR Tácito T. A. T. Neves, Rafael Messias Martins, Danilo Barbosa Coimbra, Kostiantyn Kucher, Andreas Kerren, Fernando Vieira Paulovich
2020	J	`jnl`	t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections. CoRR Angelos Chatzimparmpas, Rafael Messias Martins, Andreas Kerren
2020	J	`jnl`	t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections. IEEE Trans. Vis. Comput. Graph. Angelos Chatzimparmpas, Rafael Messias Martins, Andreas Kerren
2019	B	`conf`	Visual Learning Analytics of Multidimensional Student Behavior in Self-regulated Learning. EC-TEL Rafael Messias Martins, Elias Berge, Marcelo Milrad, Italo Masiello
2018	C	`conf`	Analysis of VINCI 2009-2017 Proceedings. VINCI Kostiantyn Kucher, Rafael Messias Martins, Andreas Kerren
2018	—	`conf`	Efficient Dynamic Time Warping for Big Data Streams. IEEE BigData Rafael Messias Martins, Andreas Kerren
2018	B	`conf`	Quality Models Inside Out: Interactive Visualization of Software Metrics by Means of Joint Probabilities. VISSOFT Maria Ulan, Sebastian Hönel, Rafael Messias Martins, Morgan Ericsson, Welf Löwe, Anna Wingkvist, Andreas Kerren
2017	J	`jnl`	Graph Layouts by t-SNE. Comput. Graph. Forum Johannes F. Kruiger, Paulo E. Rauber, Rafael Messias Martins, Andreas Kerren, Stephen G. Kobourov, Alexandru C. Telea
2017	B	`conf`	Impact of the Vendor Lock-in Problem on Testing as a Service (TaaS). IC2E Ricardo Ramos de Oliveira, Rafael Messias Martins, Adenilso da Silva Simão
2017	—	`conf`	MVN-Reduce: Dimensionality Reduction for the Visual Analysis of Multivariate Networks. EuroVis (Short Papers) Rafael Messias Martins, Johannes F. Kruiger, Rosane Minghim, Alexandru C. Telea, Andreas Kerren
2016	J	`jnl`	Explaining three-dimensional dimensionality reduction plots. Inf. Vis. Danilo Barbosa Coimbra, Rafael Messias Martins, Tácito T. A. T. Neves, Alexandru C. Telea, Fernando Vieira Paulovich
2016	—	`—`	Visualização explanatória de projeções multidimensionais (Explanatory visualization of multidimensional prejections). Rafael Messias Martins
2015	—	`conf`	Attribute-based Visual Explanation of Multidimensional Projections. EuroVA@EuroVis Renato R. O. da Silva, Paulo E. Rauber, Rafael Messias Martins, Rosane Minghim, Alexandru C. Telea
2015	—	`conf`	Explaining Neighborhood Preservation for Multidimensional Projections. CGVC Rafael Messias Martins, Rosane Minghim, Alexandru C. Telea
2015	J	`jnl`	Visual Text Mining: Ensuring the Presence of Relevant Studies in Systematic Literature Reviews. Int. J. Softw. Eng. Knowl. Eng. Kátia Romero Felizardo, Ellen Francine Barbosa, Rafael Messias Martins, Pedro Henrique Dias Valle, José Carlos Maldonado
2014	J	`jnl`	Visual analysis of dimensionality reduction quality for parameterized projections. Comput. Graph. Rafael Messias Martins, Danilo Barbosa Coimbra, Rosane Minghim, Alexandru C. Telea
2013	—	`conf`	MIST: Multiscale Information and Summaries of Texts. SIBGRAPI Paulo A. Pagliosa, Rafael Messias Martins, Douglas Cedrim, Afonso Paiva, Rosane Minghim, Luis Gustavo Nonato
2012	J	`jnl`	Multidimensional Projections for Visual Analysis of Social Networks. J. Comput. Sci. Technol. Rafael Messias Martins, Gabriel de Faria Andery, Henry Heberle, Fernando Vieira Paulovich, Alneu de Andrade Lopes, Hélio Pedrini, Rosane Minghim
2011	A	`conf`	Using Visual Text Mining to Support the Study Selection Activity in Systematic Literature Reviews. ESEM Kátia Romero Felizardo, Norsaremah Salleh, Rafael Messias Martins, Emilia Mendes, Stephen G. MacDonell, José Carlos Maldonado