Rafael Messias Martins
Universitetslektor
Institutionen för datavetenskap och medieteknik
Fakulteten för teknik
- MSc. in Computer Science, from University of São Paulo, BR
- PhD. in Computer Science, from University of Groningen, NL
Forskning
- Information Visualization and Visual Analytics, with a focus on Multidimensional Data and Networks.
Forskargrupp
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Information and Software Visualization (ISOVIS) Forskargruppen Information and Software Visualization fokuserar huvudsakligen på att genom analys och visualisering utforska stora och komplexa…
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Visual Analytics for Engineering Smarter Systems (VAESS) Visual Analytics for Engineering Smarter Systems (VAESS) är ett forskningsområde inom Linnaeus University Centre for Data Intensive Sciences…
Publikationer
Artikel i tidskrift (Refereegranskat)
- 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. 1547-1557.
- 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. 2153-2173.
- 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. 207-233.
- 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. 1015-1034.
- 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. 713-756.
- 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. 2696-2714.
- 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. 283-294.
- 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. 154-172.
- 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. 909-928.
- 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.
- 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. 791-810.
Konferensbidrag (Refereegranskat)
- Daniel, W., 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.
- 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., 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., 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. (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.
- 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.
- 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.
- 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.
Övrigt (Refereegranskat)
Konferensbidrag (Övrigt vetenskapligt)
- Daniel, W., 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.
Doktorsavhandling, monografi (Övrigt vetenskapligt)
- Martins, R.M. (2016). Explanatory visualization of multidimensional projections. Doctoral Thesis. University of Groningen. 204.