Using Visual Text Mining to Support the Study Selection Activity in Systematic Literature Reviews. - Kátia Romero Felizardo; Norsaremah Salleh; Rafael Messias Martins; Emilia Mendes; Stephen G. MacDonell; José Carlos Maldonado (ESEM, 2011)

Multidimensional Projections for Visual Analysis of Social Networks. - Rafael Messias Martins; Gabriel de Faria Andery; Henry Heberle; Fernando Vieira Paulovich; Alneu de Andrade Lopes; Hélio Pedrini; Rosane Minghim (J. Comput. Sci. Technol., 2012)

MIST: Multiscale Information and Summaries of Texts. - Paulo A. Pagliosa; Rafael Messias Martins; Douglas Cedrim; Afonso Paiva 001; Rosane Minghim; Luis Gustavo Nonato (SIBGRAPI, 2013)

Visual analysis of dimensionality reduction quality for parameterized projections. - Rafael Messias Martins; Danilo Barbosa Coimbra; Rosane Minghim; Alexandru C. Telea (Comput. Graph., 2014)

Explaining Neighborhood Preservation for Multidimensional Projections. - Rafael Messias Martins; Rosane Minghim; Alexandru C. Telea (CGVC, 2015)

Attribute-based Visual Explanation of Multidimensional Projections. - Renato R. O. da Silva; Paulo E. Rauber; Rafael Messias Martins; Rosane Minghim; Alexandru C. Telea (EuroVA@EuroVis, 2015)

Visual Text Mining: Ensuring the Presence of Relevant Studies in Systematic Literature Reviews. - Kátia Romero Felizardo; Ellen Francine Barbosa; Rafael Messias Martins; Pedro Henrique Dias Valle; José Carlos Maldonado (Int. J. Softw. Eng. Knowl. Eng., 2015)

Explaining three-dimensional dimensionality reduction plots. - Danilo Barbosa Coimbra; Rafael Messias Martins; Tácito T. A. T. Neves; Alexandru C. Telea; Fernando Vieira Paulovich (Inf. Vis., 2016)

Visualização explanatória de projeções multidimensionais (Explanatory visualization of multidimensional prejections). - Rafael Messias Martins (2016)

Impact of the Vendor Lock-in Problem on Testing as a Service (TaaS). - Ricardo Ramos de Oliveira; Rafael Messias Martins; Adenilso da Silva Simão (IC2E, 2017)

MVN-Reduce: Dimensionality Reduction for the Visual Analysis of Multivariate Networks. - Rafael Messias Martins; Johannes F. Kruiger; Rosane Minghim; Alexandru C. Telea; Andreas Kerren (EuroVis (Short Papers), 2017)

Graph Layouts by t-SNE. - Johannes F. Kruiger; Paulo E. Rauber; Rafael Messias Martins; Andreas Kerren; Stephen G. Kobourov; Alexandru C. Telea (Comput. Graph. Forum, 2017)

Efficient Dynamic Time Warping for Big Data Streams. - Rafael Messias Martins; Andreas Kerren (IEEE BigData, 2018)

Analysis of VINCI 2009-2017 Proceedings. - Kostiantyn Kucher; Rafael Messias Martins; Andreas Kerren (VINCI, 2018)

Quality Models Inside Out: Interactive Visualization of Software Metrics by Means of Joint Probabilities. - Maria Ulan; Sebastian Hönel; Rafael Messias Martins; Morgan Ericsson; Welf Löwe; Anna Wingkvist; Andreas Kerren (VISSOFT, 2018)

Artifact: Quality Models Inside Out: Interactive Visualization of Software Metrics by Means of Joint Probabilities. - Maria Ulan; Sebastian Hönel; Rafael Messias Martins; Morgan Ericsson; Welf Löwe; Anna Wingkvist; Andreas Kerren (Zenodo, 2018)

Visual Learning Analytics of Multidimensional Student Behavior in Self-regulated Learning. - Rafael Messias Martins; Elias Berge; Marcelo Milrad; Italo Masiello (EC-TEL, 2019)

Improving Classification in Imbalanced Educational Datasets using Over-sampling. - Zeynab Mohseni; Rafael Messias Martins; Marcelo Milrad; Italo Masiello (ICCE, 2020)

Progressive Multidimensional Projections: A Process Model based on Vector Quantization. - Elio Alejandro Ventocilla; Rafael Messias Martins; Fernando V. Paulovich; Maria Riveiro 001 (MLVis@Eurographics/EuroVis, 2020)

The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations. - Angelos Chatzimparmpas; Rafael Messias Martins; Ilir Jusufi; Kostiantyn Kucher; Fabrice Rossi; Andreas Kerren (Comput. Graph. Forum, 2020)

Xtreaming: an incremental multidimensional projection technique and its application to streaming data. - Tácito T. A. T. Neves; Rafael Messias Martins; Danilo Barbosa Coimbra; Kostiantyn Kucher; Andreas Kerren; Fernando Vieira Paulovich (CoRR, 2020)

A survey of surveys on the use of visualization for interpreting machine learning models. - Angelos Chatzimparmpas; Rafael Messias Martins; Ilir Jusufi; Andreas Kerren (Inf. Vis., 2020)

StanceVis Prime: visual analysis of sentiment and stance in social media texts. - Kostiantyn Kucher; Rafael Messias Martins; Carita Paradis; Andreas Kerren (J. Vis., 2020)

t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections. - Angelos Chatzimparmpas; Rafael Messias Martins; Andreas Kerren (IEEE Trans. Vis. Comput. Graph., 2020)

Empirical Study: Visual Analytics for Comparing Stacking to Blending Ensemble Learning. - Angelos Chatzimparmpas; Rafael Messias Martins; Kostiantyn Kucher; Andreas Kerren (CSCS, 2021)

A Statement Report on the Use of Multiple Embeddings for Visual Analytics of Multivariate Networks. - Daniel Witschard; Ilir Jusufi; Rafael Messias Martins; Andreas Kerren (VISIGRAPP (3: IVAPP), 2021)

Scaling the Growing Neural Gas for Visual Cluster Analysis. - Elio Ventocilla; Rafael Messias Martins; Fernando Vieira Paulovich; Maria Riveiro 001 (Big Data Res., 2021)

VisEvol: Visual Analytics to Support Hyperparameter Search through Evolutionary Optimization. - Angelos Chatzimparmpas; Rafael Messias Martins; Kostiantyn Kucher; Andreas Kerren (Comput. Graph. Forum, 2021)

Analyzing the quality of local and global multidimensional projections using performance evaluation planning. - Danilo Barbosa Coimbra; Rafael Messias Martins; Edson Mota; Tácito Trindade de Araújo Tiburtino Neves; Pedro Diamantino; Maycon L. M. Peixoto (Theor. Comput. Sci., 2021)

StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics. - Angelos Chatzimparmpas; Rafael Messias Martins; Kostiantyn Kucher; Andreas Kerren (IEEE Trans. Vis. Comput. Graph., 2021)

Toward a Quantitative Survey of Dimension Reduction Techniques. - Mateus Espadoto; Rafael Messias Martins; Andreas Kerren; Nina S. T. Hirata; Alexandru C. Telea (IEEE Trans. Vis. Comput. Graph., 2021)

Fast and reliable incremental dimensionality reduction for streaming data. - Tácito Trindade de Araújo Tiburtino Neves; Rafael Messias Martins; Danilo Barbosa Coimbra; Kostiantyn Kucher; Andreas Kerren; Fernando V. Paulovich (Comput. Graph., 2022)

SBGTool v2.0: An Empirical Study on a Similarity-Based Grouping Tool for Students' Learning Outcomes. - Zeynab Mohseni; Rafael Messias Martins; Italo Masiello (Data, 2022)

Interactive optimization of embedding-based text similarity calculations. - Daniel Witschard; Ilir Jusufi; Rafael Messias Martins; Kostiantyn Kucher; Andreas Kerren (Inf. Vis., 2022)

FeatureEnVi: Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches. - Angelos Chatzimparmpas; Rafael Messias Martins; Kostiantyn Kucher; Andreas Kerren (IEEE Trans. Vis. Comput. Graph., 2022)

Towards a Teacher-Oriented Framework of Visual Learning Analytics by Scenario-Based Development. - Zeynab (Artemis) Mohseni; Italo Masiello; Rafael Messias Martins (EC-TEL (Doctoral Consortium), 2023)

The Flow of Trust: A Visualization Framework to Externalize, Explore, and Explain Trust in ML Applications. - Stef van den Elzen; Gennady L. Andrienko; Natalia V. Andrienko; Brian D. Fisher; Rafael Messias Martins; Jaakko Peltonen; Alexandru C. Telea; Michel Verleysen (IEEE Computer Graphics and Applications, 2023)

DeforestVis: Behavior Analysis of Machine Learning Models with Surrogate Decision Stumps. - Angelos Chatzimparmpas; Rafael Messias Martins; Alexandru C. Telea; Andreas Kerren (CoRR, 2023)

VisRuler: Visual analytics for extracting decision rules from bagged and boosted decision trees. - Angelos Chatzimparmpas; Rafael Messias Martins; Andreas Kerren (Inf. Vis., 2023)

DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting Machine. - Parisa Salmanian; Angelos Chatzimparmpas; Ali Can Karaca; Rafael Messias Martins (MLVis@EuroVis, 2024)

Visual Learning Analytics for Educational Interventions in Primary and Secondary Schools: A Scoping Review. - Zeynab Mohseni; Italo Masiello; Rafael Messias Martins; Susanna Nordmark (J. Learn. Anal., 2024)

A Grid-Based Method for Removing Overlaps of Dimensionality Reduction Scatterplot Layouts. - Gladys M. H. Hilasaca; Wilson Estécio Marcílio-Jr; Danilo Medeiros Eler; Rafael Messias Martins; Fernando V. Paulovich (IEEE Trans. Vis. Comput. Graph., 2024)

DeforestVis: Behaviour Analysis of Machine Learning Models with Surrogate Decision Stumps. - Angelos Chatzimparmpas; Rafael Messias Martins; Alexandru C. Telea; Andreas Kerren (Comput. Graph. Forum, 2024)

A technical infrastructure for primary education data that contributes to data standardization. - Zeynab (Artemis) Mohseni; Italo Masiello; Rafael Messias Martins (Educ. Inf. Technol., 2024)

Visualizing Feature Importance of Time Series Data in Discrete-Event Simulations using Shapley Additive Explanations. - Samuele Giussani; Rafael Messias Martins; Amílcar Soares 001; Mauro Caporuscio; Diego Perez-Palacin (SIGSIM-PADS, 2025)

ColorPCA: Scalable Colored Dimensionality Reduction for Unlabeled High-Dimensional Data. - Wenqiang Cui; Shehzad Afzal; Rafael Messias Martins; Sohaib Ghani; Ibrahim Hoteit (IEEE Access, 2025)

Adversarial attacks on machine learning-aided visualizations. - Takanori Fujiwara; Kostiantyn Kucher; Junpeng Wang 001; Rafael Messias Martins; Andreas Kerren; Anders Ynnerman (J. Vis., 2025)

HUMAP: Hierarchical Uniform Manifold Approximation and Projection. - Wilson Estécio Marcílio Júnior; Danilo Medeiros Eler; Fernando V. Paulovich; Rafael Messias Martins (IEEE Trans. Vis. Comput. Graph., 2025)