Selected Publications

In this paper, we propose a new set of resampling strategies for imbalanced spatio-temporal numeric forecasting tasks, by introducing bias into formerly random processes.
In Proc. IEEE DSAA, 2019

In this paper, we empirically compare several variants of cross-validation (CV) and out-of-sample (OOS) performance estimation procedures, using both artificially generated and real-world spatio-temporal data sets.
In Proc. ECML-PKDD, 2018

Recent Publications

More Publications

(2019). Biased resampling strategies for imbalanced spatio-temporal forecasting. In Proc. IEEE DSAA.

PDF Code Poster Slides Source Document

(2017). Dynamic and heterogeneous ensembles for time series forecasting. In Proc. DSAA.

Preprint Code Poster Source Document

(2016). Development of an autonomous system for integrated marine monitoring. In Proc. Iberian Symposium on Marine Biology Studies.

Project Source Document

Recent & Upcoming Talks

A data science tool for ocean observation
Oct 24, 2018 13:15

Projects

MarinEye

A Prototype for a Multitrophic Ocean Monitoring

Contact

  • mariana.r.oliveira [at] inesctec.pt, moliveira [at] dcc.fc.up.pt
  • +351 22 040 2963
  • FCUP, Porto, Portugal