Rafael Messias Martins

MSc. in Computer Science, from University of São Paulo, BR
PhD. in Computer Science, from University of Groningen, NL

Research

Information Visualization and Visual Analytics, with a focus on Multidimensional Data and Networks.

My research groups

Information and Software Visualization (ISOVIS) The research group Information and Software Visualization mainly focuses on the explorative analysis and visualization of large and complex information…

My ongoing research projects

Project: InfraVis – National Research Infrastructure for Visualisation of Data InfraVis will create a common gateway to Swedish visualization resources and enhance the competence of researchers in…
Project: Prediction of medication risks and drug-related problems Medication related problems is a major problem for society, especially with an ageing population and increasing use of medicines. This…
Project: Visualization and Exploration Flexiboard for Timber Buildings (TimberVis) Within the collaboration between InfraVis, the national research infrastructure for data visualization, and the…

My completed research projects

Publications

Article in journal (Refereed)

Chatzimparmpas, A., Martins, R.M., Telea, A.C., Kerren, A. (2024). DeforestVis : Behavior Analysis of Machine Learning Models with Surrogate Decision Stumps. Computer graphics forum (Print).
Status: Epub ahead of print
Mohseni, Z., Masiello, I., Martins, R.M. (2023). Co-Developing an Easy-to-Use Learning Analytics Dashboard for Teachers in Primary/Secondary Education : A Human-Centered Design Approach. Education Sciences. 13 (12).
Status: Published
Hilasaca, G.M., Marcílio-Jr, W.E., Eler, D.M., Martins, R.M., Paulovich, F.V. (2023). A Grid-based Method for Removing Overlaps of Dimensionality Reduction Scatterplot Layouts. IEEE Transactions on Visualization and Computer Graphics. 1-14.
Status: Epub ahead of print
Chatzimparmpas, A., Martins, R.M., Kerren, A. (2023). VisRuler : Visual Analytics for Extracting Decision Rules from Bagged and Boosted Decision Trees. Information Visualization. 22 (2). 115-139.
Status: Published
Van Den Elzen, S., Andrienko, G., Andrienko, N., Fisher, B.D., Martins, R.M., et al. (2023). 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.
Status: Published
Neves, T.T.D.A.T., Martins, R.M., Coimbra, D.B., Kucher, K., Kerren, A., et al. (2022). Fast and Reliable Incremental Dimensionality Reduction for Streaming Data. Computers & graphics. 102. 233-244.
Status: Published
Witschard, D., Jusufi, I., Martins, R.M., Kucher, K., Kerren, A. (2022). Interactive Optimization of Embedding-based Text Similarity Calculations. Information Visualization. 21 (4). 335-353.
Status: Published
Mohseni, Z., Martins, R.M., Masiello, I. (2022). SBGTool v2.0: An Empirical Study on a Similarity-Based Grouping Tool for Students’ Learning Outcomes. Data. 7 (7).
Status: Published
Chatzimparmpas, A., Martins, R.M., Kucher, K., Kerren, A. (2022). FeatureEnVi : Visual Analytics for Feature Engineering Using Stepwise Selection and Semi-Automatic Extraction Approaches. IEEE Transactions on Visualization and Computer Graphics. 28 (4). 1773-1791.
Status: Published
Ventocilla, E., Martins, R.M., Paulovich, F., Riveiro, M. (2021). Scaling the Growing Neural Gas for Visual Cluster Analysis. Big Data Research. 26.
Status: Published
Chatzimparmpas, A., Martins, R.M., Kucher, K., Kerren, A. (2021). StackGenVis : Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics. IEEE Transactions on Visualization and Computer Graphics. 27 (2). 1547-1557.
Status: Published
Chatzimparmpas, A., Martins, R.M., Kucher, K., Kerren, A. (2021). VisEvol : Visual Analytics to Support Hyperparameter Search through Evolutionary Optimization. Computer graphics forum (Print). 40 (3). 201-214.
Status: Published
Coimbra, D.B., Martins, R.M., Mota, E., Tiburtino, T., Diamantino, P., et al. (2021). Analyzing the quality of local and global multidimensional projections using performance evaluation planning. Theoretical Computer Science. 872. 41-54.
Status: Published
Espadoto, M., Martins, R.M., Kerren, A., Hirata, N.S.T., Telea, A.C. (2021). Toward a Quantitative Survey of Dimension Reduction Techniques. IEEE Transactions on Visualization and Computer Graphics. 27 (3). 2153-2173.
Status: Published
Chatzimparmpas, A., Martins, R.M., Jusufi, I., Kerren, A. (2020). A survey of surveys on the use of visualization for interpreting machine learning models. Information Visualization. 19 (3). 207-233.
Status: Published
Kucher, K., Martins, R.M., Paradis, C., Kerren, A. (2020). StanceVis Prime : Visual Analysis of Sentiment and Stance in Social Media Texts. Journal of Visualization. 23 (6). 1015-1034.
Status: Published
Chatzimparmpas, A., Martins, R.M., Jusufi, I., Kucher, K., Rossi, F., et al. (2020). The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations. Computer graphics forum (Print). 39 (3). 713-756.
Status: Published
Chatzimparmpas, A., Martins, R.M., Kerren, A. (2020). t-viSNE : Interactive Assessment and Interpretation of t-SNE Projections. IEEE Transactions on Visualization and Computer Graphics. 26 (8). 2696-2714.
Status: Published
Kruiger, J.F., Rauber, P.E., Martins, R.M., Kerren, A., Kobourov, S., et al. (2017). Graph Layouts by t-SNE. Computer graphics forum (Print). 36 (3). 283-294.
Status: Published
Coimbra, D.B., Martins, R.M., Neves, T.T.A.T., Telea, A.C., Paulovich, F.V. (2016). Explaining three-dimensional dimensionality reduction plots. Information Visualization. 15 (2). 154-172.
Status: Published
Felizardo, K.R., Barbosa, E.F., Martins, R.M., Valle, P.H.D., Maldonado, J.C. (2015). Visual Text Mining : Ensuring the Presence of Relevant Studies in Systematic Literature Reviews. International journal of software engineering and knowledge engineering. 25 (5). 909-928.
Status: Published
Martins, R.M., Coimbra, D.B., Minghim, R., Telea, A.C. (2014). Visual Analysis of Dimensionality Reduction Quality for Parameterized Projections. Computers & graphics. 41. 26-42.
Status: Published
Martins, R.M., Andery, G.F., Heberle, H., Paulovich, F.V., Lopes, A.D.A., et al. (2012). Multidimensional Projections for Visual Analysis of Social Networks. Journal of Computer Science and Technology. 27 (4). 791-810.
Status: Published

Conference paper (Refereed)

Mohseni, Z., Masiello, I., Martins, R.M. (2023). Towards a Teacher-Oriented Framework of Visual Learning Analytics by Scenario-Based Development. DCECTEL 2023 Doctoral Consortium of ECTEL 2023 : 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)Aveiro, Portugal, 4-8 September 2023. 12-17.
Witschard, D., Jusufi, I., Martins, R.M., Kerren, A. (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, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 3: IVAPP. 219-223.
Kucher, K., Martins, R.M., Kerren, A. (2021). Project in Visualization and Data Analysis : Experiences in Designing and Coordinating the Course. Proceedings of 42nd Annual Conference of the European Association for Computer Graphics (EG '21) — Education Papers. 39-44.
Mohseni, Z., Martins, R.M., Masiello, I. (2021). SAVis : a Learning Analytics Dashboard with Interactive Visualization and Machine Learning. CEUR Workshop Proceedings, Volume 2985.
Mohseni, Z., Martins, R.M., Masiello, I. (2021). SBGTool : Similarity-Based Grouping Tool for Students’ Learning Outcomes. Proceedings of the 2021 Swedish Workshop on Data Science (SweDS).
Mohseni, Z., Martins, R.M., Milrad, M., Masiello, I. (2020). Improving Classification in Imbalanced Educational Datasets using Over-sampling. Proceedings of the 28th international conference on computer in education. 278-283.
Ventocilla, E., Martins, R.M., Paulovich, F., Riveiro, M. (2020). Progressive multidimensional projections : A process model based on vector quantization. International Workshop on Machine Learning in Visualisation for Big Data.
Buljan, M., Nordqvist, J., Martins, R.M. (2020). An Investigation on the Impact of Non-Uniform Random Sampling Techniques for t-SNE. 2020 Swedish Workshop on Data Science (SweDS), Luleå, 2020,. 1-8.
Martins, R.M., Berge, E., Milrad, M., Masiello, I. (2019). Visual Learning Analytics of Multidimensional Student Behavior in Self-regulated Learning. Transforming Learning with Meaningful Technologies : EC-TEL 2019. 737-741.
Martins, R.M., Kerren, A. (2019). Efficient Dynamic Time Warping for Big Data Streams. Proceedings of the IEEE International Conference on Big Data (Big Data '18) : Workshop on Real-time & Stream Analytics in Big Data & Stream Data Management. 2924-2929.
Martins, R.M. (2019). Exploratory Visual Analysis with Interpretable Unsupervised Learning. .
Ulan, M., Hönel, S., Martins, R.M., Ericsson, M., Löwe, W., et al. (2018). Quality Models Inside Out : Interactive Visualization of Software Metrics by Means of Joint Probabilities. Proceedings of the 2018 Sixth IEEE Working Conference on Software Visualization, (VISSOFT), Madrid, Spain, 2018. 65-75.
Kucher, K., Martins, R.M., Kerren, A. (2018). Analysis of VINCI 2009–2017 Proceedings. Proceedings of the 11th International Symposium on Visual Information Communication and Interaction (VINCI '18), 13-15 August 2018, Växjö, Sweden. 97-101.
Laitinen, M., Lundberg, J., Levin, M., Martins, R.M. (2018). The Nordic Tweet Stream : A Dynamic Real-Time Monitor Corpus of Big and Rich Language Data. DHN 2018 Digital Humanities in the Nordic Countries 3rd Conference : Proceedings of the Digital Humanities in the Nordic Countries 3rd Conference Helsinki, Finland, March 7-9, 2018. 349-362.
Chatzimparmpas, A., Martins, R.M., Kerren, A. (2018). t-viSNE : A Visual Inspector for the Exploration of t-SNE. Presented at IEEE Information Visualization (VIS '18), Berlin, Germany, 21-26 October, 2018.
Martins, R.M., Simaki, V., Kucher, K., Paradis, C., Kerren, A. (2017). StanceXplore : Visualization for the Interactive Exploration of Stance in Social Media. .
Martins, R.M., Kruiger, J.F., Minghim, R., Telea, A.C., Kerren, A. (2017). MVN-Reduce : Dimensionality Reduction for the Visual Analysis of Multivariate Networks. EuroVis 2017 - Short Papers. 13-17.
De Oliveira, R.R., Martins, R.M., Simao, A.D.S. (2017). Impact of the Vendor Lock-in Problem on Testing as a Service (TaaS). 2017 IEEE INTERNATIONAL CONFERENCE ON CLOUD ENGINEERING (IC2E 2017). 190-196.
Martins, R.M., Minghim, R., Telea, A.C. (2015). Explaining Neighborhood Preservation for Multidimensional Projections. EG UK Computer Graphics & Visual Computing (2015). 7-14.
Silva, R.R.O., Rauber, P.E., Martins, R.M., Minghim, R., Telea, A.C. (2015). Attribute-based Visual Explanation of Multidimensional Projections. EuroVis Workshop on Visual Analytics (2015).
Pagliosa, P., Martins, R.M., Cedrim, D., Paiva, A., Minghim, R., et al. (2013). MIST : Multiscale Information and Summaries of Texts. Proceedings : 2013 XXVI Conference on Graphics, Patterns and Images. SIBGRAPI 2013.
Felizardo, K.R., Salleh, N., Martins, R.M., Mendes, E., Macdonell, S.G., et al. (2011). Using visual text mining to support the study selection activity in systematic literature reviews. 2011 Fifth International Symposium on Empirical Software Engineering and Measurement, ESEM 2011 : Proceedings. 77-86.
Felizardo, K.R., Martins, R.M., Maldonadon, J.C., Lopes, A.D.A., Minghim, R. (2009). Content based visual mining of document collections using ontologies. II Workshop on Web and Text Intelligence (WTI) 2009.
Nakagawa, E.Y., Martins, R.M., Felizardo, K.R., Maldonado, J.C. (2009). Towards a process to design aspect-oriented reference architectures. XXXV Latin American Informatics Conference (CLEI) 2009.

Conference proceedings (editor) (Refereed)

Martins, R.M., Ericsson, M., Weyns, D., Kucher, K. (2021). Proceedings of the 2021 Swedish Workshop on Data Science (SweDS) : Växjö, SwedenDecember 2–3, 2021. IEEE.

Other (Refereed)

Ulan, M., Hönel, S., Martins, R.M., Ericsson, M., Löwe, W., et al. (2018). Artifact: Quality Models Inside Out : Interactive Visualization of Software Metrics by Means of Joint Probabilities.
The artifact is a VirtualBox virtual machine (VM). Part of this bundle is a file with instructions. Please read those first.
.

Conference paper (Other academic)

Chatzimparmpas, A., Martins, R.M., Kucher, K., Kerren, A. (2021). Empirical Study : Visual Analytics for Comparing Stacking to Blending Ensemble Learning. Proceedings of the 23rd International Conference on Control Systems and Computer Science (CSCS23), 26–28 May 2021, Bucharest, Romania. 1-8.
Witschard, D., Jusufi, I., Martins, R.M., Kerren, A. (2020). Multiple Embeddings for Multivariate Network Analysis. 6th annual Big Data Conference at Linnaeus University, in Växjö, Sweden.

Doctoral thesis, monograph (Other academic)

Martins, R.M. (2016). Explanatory visualization of multidimensional projections. Doctoral Thesis. University of Groningen. 204.