Research output per year
Research output per year
Personal profile
Education/Academic qualification
Computer Science, Doctorate, Flexibility as Relaxation in Constraint Satisfaction, Universidade NOVA de Lisboa
Award Date: 1 Jan 2000
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Dive into the research topics where João Carlos Gomes Moura Pires is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Road Traffic Flow Prediction with Visual Analytics
Datia, N., Pato, M. P. M., Vaz, J. & Pires, J. M., Apr 2024, Artificial Intelligence and Visualization: Advancing Visual Knowledge Discovery. Kovalerchuk, B., Nazemi, K., Andonie, R., Datia, N. & Banissi, E. (eds.). Cham: Springer, p. 293-318 26 p. (Studies in Computational Intelligence; vol. 1126).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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Bicycle Demand Prediction to Optimize the Rebalancing of a Bike Sharing System in Lisbon
Afonso, A. S., Pires, J. M., Datia, N. & Birra, F., 2022, Proceedings: 2022 26th International Conference Information Visualisation, IV 2022. New Jersey: Institute of Electrical and Electronics Engineers (IEEE), p. 366-372 7 p. (Proceedings of the International Conference on Information Visualisation; vol. 2022-July).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Citation (Scopus) -
ML Approach to Predict Air Quality Using Sensor and Road Traffic Data
Datia, N., Pato, M. P. M., Taborda, R. & Pires, J. M., 2022, Studies in Computational Intelligence. Springer, p. 379-401 23 p. (Studies in Computational Intelligence; vol. 1014).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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Traffic Flow Indicator: Predicting Jams in a City
Vaz, J., Datia, N., Pato, M. & Pires, J. M., 2022, Proceedings : 2022 26th International Conference Information Visualisation, IV 2022. New Jersey: Institute of Electrical and Electronics Engineers (IEEE), p. 287-292 6 p. (Proceedings of the International Conference on Information Visualisation; vol. 2022-July).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Citation (Scopus) -
Geospatial data disaggregation through self-trained encoder–decoder convolutional models
Monteiro, J., Martins, B., Costa, M. & Pires, J. M., 16 Sept 2021, In: ISPRS International Journal of Geo-Information. 10, 9, 619.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Citations (Scopus)39 Downloads (Pure)