Research Output per year
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
2013 → 2018
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Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output
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. 8614232Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-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. 8679157Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-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 journal › Article › Academic › peer-review
Unsupervised anomaly detection in time series data using deep learning
Pereira, J., 2018, Lisboa: Técnico Lisboa. 92 p.Research output: Thesis › Phd 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 2019 → 22 Oct 2019
Activity: Talk or presentation types › Keynote talk › Scientific