• 8 Citations
20182019

Research output per year

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Personal profile

Research profile

João Pereira is a PDEng Trainee in Data Science at Eindhoven University of Technology (TU/e), where he develops data science projects for industry. Most of the time he works on machine learning and applications involving time series, images, videos, text, and graphs, coming from the most various domains, spanning energy, retail, manufacturing, healthcare, and social good. Meanwhile, he organizes tutorials on deep learning and coach professionals and trainees at JADS/TU Eindhoven. He is especially interested in anomaly detection problems (e.g., fraud) and deep learning (the core of my thesis). Prior to joining TU/e, he developed applied research on deep learning at ISR-Lisbon and completed a M.Sc. degree in Electrical and Computer Engineering at IST (University of Lisbon).

Personal Website: https://www.joao-pereira.pt

Education/Academic qualification

Master, Instituto Superior Técnico (IST), University of Lisbon

20132018

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Research Output

  • 8 Citations
  • 2 Conference contribution
  • 1 Article
  • 1 Phd Thesis 4 Research NOT TU/e / Graduation NOT TU/e)

Unsupervised anomaly detection in energy time series data using variational recurrent autoencoders with attention

Pereira, J. & Silveira, M., 2018, Proceedings - 17th IEEE International Conference on Machine Learning and Applications, ICMLA 2018. Wani, M. A., Sayed-Mouchaweh, M., Lughofer, E., Gama, J. & Kantardzic, M. (eds.). Piscataway: Institute of Electrical and Electronics Engineers, p. 1275-1282 8 p. 8614232

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

  • 7 Citations (Scopus)

    Learning representations from healthcare time series data for unsupervised anomaly detection

    Pereira, J. & Silveira, M., 1 Apr 2019, 2019 IEEE International Conference on Big Data and Smart Computing (BigComp). Piscataway: Institute of Electrical and Electronics Engineers, 7 p. 8679157

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

  • 1 Citation (Scopus)

    Unsupervised representation learning and anomaly detection in ECG sequences

    Pereira, J. & Silveira, M., 2019, In : International Journal of Data Mining and Bioinformatics. 22, 4, p. 389-407 19 p.

    Research output: Contribution to journalArticleAcademicpeer-review

  • Unsupervised anomaly detection in time series data using deep learning

    Pereira, J., 2018, Lisboa: Técnico Lisboa. 92 p.

    Research output: ThesisPhd Thesis 4 Research NOT TU/e / Graduation NOT TU/e)

  • Activities

    • 1 Keynote talk

    On Deep Learning - An Overview

    João Cardoso Pereira (Speaker)
    15 Oct 201922 Oct 2019

    Activity: Talk or presentation typesKeynote talkScientific