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Resources

Read SIMBAD scientific papers, publications and presentations 

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Lessons learnt from the SIMBAD project and way forward

Scientific papers

Andrienko, N., Andrienko, G., Adilova, L., and Wrobel, S. (2022). Visual Analytics for Human-centered Machine Learning. IEEE Computer Graphics & Applications, 42(1).

Sánchez-Cauce, R., Mocholí, D., Cantú Ros, O. G., Herranz, R., Rodríguez, R., Tello, F., Fabio, A. (2022). Identification of traffic patterns and selection of representative traffic samples for the assessment of ATM performance problems. Proceedings of the 12th SESAR Innovation Days.

Sanchez-Cauce, R., Riis, C., Antunes, F., Mocholí, D., Cantu Ros, O. G., Camara Pereira, F., Herranz, R., Lima Azevedo, C. (2022). Active Learning Metamodelling for R-NEST. Proceedings of the 12th SESAR Innovation Days.

Vouros, G.A., Tranos, T., Blekas, K., Santipantakis, G., Melgosa, M., Prats, X. (2022). Data-driven estimation of flights’ hidden parameters. Proceedings of the 12th SESAR Innovation Days.

Presentations and conference talks

SIMBAD Poster at SIDs 2021

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This project has received funding from the SESAR Joint Undertaking (JU) under grant agreement No 894241. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and the SESAR JU members other than the Union. © 2021 SIMBAD Consortium. All rights reserved.

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