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.
Mina pågående forskningsprojekt
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Projekt: Flexiboard för visualisering och utforskning av träbyggnader (TimberVis) I samarbetet mellan InfraVis, en nationell forskningsinfrastruktur för datavisualisering, och institutionen för…
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Projekt: InfraVis – nationell forskningsinfrastruktur för visualisering av data InfraVis kommer att skapa en gemensam ingång till de svenska resurserna i visualisering och utbilda forskare inom olika…
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Projekt: Prediktion av läkemedelsrelaterade problem och risker Läkemedelsrelaterade problem är ett stort problem för samhället, särskilt med en åldrande befolkning och ökad användning av läkemedel.…
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Projekt: Utveckling av ett nytt masterprogram i digital humaniora vid Linnéuniversitetet Projektet syftar till att vidareutveckla masterprogrammet i digital humaniora och etablera nya sätt att…
Mina avslutade forskningsprojekt
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Såddprojekt: An Exploration of the Challenges and Possibilities of Multidimensional Visualization in the Context of Visual Learning Analytics Huvudmålet för detta såddprojekt inom Linnaeus University…
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Såddprojekt: Data-intensive tools for effective carbon mitigation in forestry Det övergripande syftet med detta såddprojekt inom Linnaeus University Centre for Data Intensive Sciences and Applications…
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Såddprojekt: Läkemedel som ökar risken för biverkningar Det övergripande syftet med detta såddprojekt inom Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) är att…
Publikationer
Artikel i tidskrift (Refereegranskat)
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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: Publicerad -
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: Publicerad -
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: Publicerad -
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: Publicerad -
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: Publicerad -
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: Publicerad -
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: Publicerad -
Ventocilla, E., Martins, R.M., Paulovich, F., Riveiro, M. (2021). Scaling the Growing Neural Gas for Visual Cluster Analysis. Big Data Research. 26.
Status: Publicerad -
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: Publicerad -
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: Publicerad -
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: Publicerad -
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: Publicerad -
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: Publicerad -
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: Publicerad -
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: Publicerad -
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: Publicerad -
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: Publicerad -
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: Publicerad -
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: Publicerad -
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: Publicerad -
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: Publicerad
Konferensbidrag (Refereegranskat)
- 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.
- 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.
- 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.
- 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., 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.
- 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., 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.
- Martins, R.M., Simaki, V., Kucher, K., Paradis, C., Kerren, A. (2017). StanceXplore : Visualization for the Interactive Exploration of Stance in Social Media. .
- 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.
Proceedings (redaktörskap) (Refereegranskat)
Övrigt (Refereegranskat)
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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.
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Konferensbidrag (Övrigt vetenskapligt)
- 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.
Doktorsavhandling, monografi (Övrigt vetenskapligt)
- Martins, R.M. (2016). Explanatory visualization of multidimensional projections. Doctoral Thesis. University of Groningen. 204.