Mariana Oliveira

Mariana Oliveira

Post-doctoral Fellow

Dalhousie University

Biography

I am a post-doctoral fellow at the Faculty of Computer Science at Dalhousie University. My research focuses on predictive analytics for dependent data, and I am developing an interest in explainable AI.

I have a PhD from the MAPi Doctoral Programme in Computer Science, hosted at Faculty of Sciences, University of Porto (FCUP) and the Laboratory of Artificial Intelligence and Decision Support (LIAAD – INESC TEC). My work was fully funded by a FCT-MAPi scholarship, under the supervision of Prof. Luís Torgo and Prof. Vítor Santos Costa.

Interests
  • Machine Learning and Data Mining
  • Spatio-temporal Analytics
Education
  • PhD in Computer Science, 2021

    University of Porto / University of Minho / University of Aveiro (MAP joint programme)

  • MSc in Computer Science (specialization in Data Mining and Processing), 2015

    Faculty of Sciences, University of Porto

  • BSc in Physics (minor in Informatics), 2013

    Faculty of Sciences, University of Porto

Recent Publications

(2021). Predictive Analytics for Spatio-temporal Data. PhD Thesis. Faculty of Sciences, University of Porto, Porto, Portugal.

PDF Cite Slides Source Document

(2021). Biased resampling strategies for imbalanced spatio-temporal forecasting. International Journal of Data Science and Analytics.

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(2021). Evaluation Procedures for Forecasting with Spatiotemporal Data. Mathematics.

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(2019). Biased Resampling Strategies for Imbalanced Spatio-Temporal Forecasting. Proceedings of the 2019 IEEE International Conference on Data Science and Advanced Analytic, DSAA.

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(2018). Evaluation Procedures for Forecasting with Spatio-Temporal Data. Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD.

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