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Identification

Personal identification

Full name
Mariana Rafaela Figueiredo Ferreira de Oliveira

Author identifiers

Ciência ID
8D11-5891-EBE0
ORCID iD
0000-0001-9708-1123
Google Scholar ID
wpx1BnwAAAAJ
Scopus Author Id
7402586728
Education
Degree Classification
2016/09 - 2021/12/13
Concluded
 Informática (Doutoramento)
Universidade do Porto Faculdade de Ciências, Portugal
"Predictive Analytics for Spatio-Temporal Data" (THESIS/DISSERTATION)
2013/09 - 2015/12
Concluded
 Ciência de Computadores (Mestrado)
Major in Data Mining e Processamento de Dados
Universidade do Porto Faculdade de Ciências, Portugal
"Propositional and Relational Approaches to Spatio-Temporal Data Analysis" (THESIS/DISSERTATION)
 19
Affiliation

Science

Category
Host institution 		Employer
2022/02/01 - 2024/05/31 Postdoc (Research) Dalhousie University, Canada
Dalhousie University Faculty of Computer Science, Canada
Outputs

Publications

Conference abstract
  1. Bravo, Francisco; Amorim, Joana; Amirkandeh, Melika Besharati; Bodorik, Peter; Cerqueira, Vitor; Gomes, Nuno R.C.; Korus, Jennie; et al. "Advancing Precision Aquaculture Through Big Data Analytics and Machine Learning in Canadian Fish Farming". Paper presented in OCEANS, Halifax, 2024.
    10.1109/oceans55160.2024.10754571
Conference paper
  1. Oliveira, M; Moniz, N; Torgo, L; Costa, VS. "Biased Resampling Strategies for Imbalanced Spatio-Temporal Forecasting". Paper presented in IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2019.
    10.1109/dsaa.2019.00024
  2. Oliveira, M.; Torgo, L.; Santos Costa, V.. "Evaluation procedures for forecasting with spatio-temporal data". Paper presented in Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Dublin, 2018.
    Published • 10.1007/978-3-030-10925-7_43
  3. Cerqueira, V; Torgo, L; Oliveira, M; Pfahringer, B. "Dynamic and Heterogeneous Ensembles for Time Series Forecasting". Paper presented in IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2017.
    10.1109/dsaa.2017.26
  4. Oliveira, M; Torgo, L; Costa, VS. "Predicting Wildfires Propositional and Relational Spatio-Temporal Pre-processing Approaches". Paper presented in International Conference on Discovery Science, 2016.
    10.1007/978-3-319-46307-0_12
  5. Catarina, M; Ana Paula, M; Maria, C; Hugo, R; Cristina, A; Isabel, A; Sandra, R; et al. "Development of an autonomous system for integrated marine monitoring". Paper presented in XIX Iberian Symposium on Marine Biology Studies, 2016.
    10.3389/conf.fmars.2016.05.00006
  6. Oliveira, M; Torgo, L. "Ensembles for Time Series Forecasting". Paper presented in Asian Conference on Machine Learning, 2014.
Journal article
  1. Cerqueira, Vitor; Pimentel, João; Korus, Jennie; Bravo, Francisco; Amorim, Joana; Oliveira, Mariana; Swanson, Andrew; et al. "Forecasting ocean hypoxia in salmonid fish farms". Frontiers in Aquaculture 3 (2024): http://dx.doi.org/10.3389/faquc.2024.1365123.
    10.3389/faquc.2024.1365123
  2. Mariana Oliveira; Nuno Moniz; Luís Torgo; Vítor Santos Costa. "Biased resampling strategies for imbalanced spatio-temporal forecasting". International Journal of Data Science and Analytics (2021): https://doi.org/10.1007/s41060-021-00256-2.
    10.1007/s41060-021-00256-2
  3. Oliveira, M; Torgo, L; Costa, VS. "Evaluation Procedures for Forecasting with Spatiotemporal Data". MATHEMATICS (2021):
    10.3390/math9060691
  4. Fernández-García, M.P.; Teixeira, J.M.; Machado, P.; Oliveira, M.R.F.F.; Maia, J.M.; Pereira, C.; Pereira, A.M.; Freire, C.; Araujo, J.P.. "Automatized and desktop AC-susceptometer for the in situ and real time monitoring of magnetic nanoparticles' synthesis by coprecipitation". Review of Scientific Instruments 86 4 (2015): http://www.scopus.com/inward/record.url?eid=2-s2.0-84928810865&partnerID=MN8TOARS.
    10.1063/1.4918723