Publications by the ELLIS Unit Alicante

2022

Martínez-García, M., Sansano-Sansano, E., Castillo-Hornero, A., Femenia, R., Roomp, K., & Oliver, N. (2022). Social Isolation during the COVID-19 Pandemic in Spain: A Population Study. Nature Scientific Reports , 12(1), 1-15.
Top 5% of research outputs scored by Altmetric
Riccio, P., Psomas, B., Galati, F., Escolano, F., Hofmann, T., & Oliver, N. (2022). OpenFilter: A Framework to Democratize Research Access to Social Media AR Filters. arXiv preprint arXiv:2207.12319 .
Riccio, P., Oliver, J. L., Escolano, F., & Oliver, N. (2022). Algorithmic Censorship of Art: A Proposed Research Agenda. 13th International Conference on Computational Creativity .
Arnaiz-Rodríguez, A., Begga, A., Escolano, F., & Oliver, N. (2022). DiffWire: Inductive Graph Rewiring via the Lovász Bound. arXiv preprint arXiv.2206.07369 .
Cauchard, J., Jarke, M., & Oliver, N. (2022). Communications of the ACM Europe Special Section. Communications of the ACM , 65(4), 32-34.
Riccio, P., Galati, F., Zuluaga, M. A., De Martin, J. C., & Nichele, S. (2022). Translating Emotions from EEG to Visual Arts. International Conference on Computational Intelligence in Music, Sound, Art and Design (Part of EvoStar) 243-258.
Alt, F., Kostakos, V., & Oliver, N. (2022). Out-of-the-Lab Pervasive Computing. IEEE Pervasive Computing Journal , 21(1), 7-8.
Olivares Gil, A., Arnaiz Rodríguez, A., Ramírez Sanz, J. M., Garrido Labrador, J. L., Ahedo García, V., García Osorio, C., Santos Martín, J. I., & Galán Ordax, J. M. (2022). Mapping the scientific structure of organization and management of enterprises using complex networks. International Journal of Production Management and Engineering , 10(1), 65-76.
De Nadai, M., Roomp, K., Lepri, B., & Oliver, N. (2022). The Impact of Control and Mitigation Strategies during the Second Wave of coronavirus Infections in Spain and Italy. Nature Scientific Reports , 12(1), 1-13.

2021

Xue, H., Salim, F. D., Ren, Y., & Oliver, N. (2021). MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction. Advances in Neural Information Processing Systems , 34, 30380-30391.
Martinez-Garcia, M., Rabasa, A., Barber, X., Polotskaya, K., Roomp, K., & Oliver, N. (2021). Key factors affecting people’s unwillingness to be confined during the COVID-19 pandemic in Spain: a large-scale population study. Nature Scientific Reports , 11, 1-18.
Lozano, M.A., Garibo, O., Piñol, E., Rebollo, M., Polotskaya, K., Garcia-March, M. A., Conejero, J. A., Escolano, F., & Oliver, N. (2021). Open Data Science to fight COVID-19: Winning the 500k XPRIZE Pandemic Response Challenge. Joint European Conference on Machine Learning and Knowledge Discovery in Databases 384-399.
Best paper award!
Riccio, P., Bergaust, K., Christensen-Scheel, B., De Martin, J. C., Zuluaga, M. A., & Nichele, S. (2021). AI-based artistic representation of emotions from EEG signals: a discussion on fairness, inclusion, and aesthetics. Politics of the Machines .
Luca, M., Barlacchi, G., Oliver, N., & Lepri, B. (2021). Leveraging Mobile Phone Data for Migration Flows. arXiv preprint arXiv:2105.14956 .
Lepri, B., Oliver, N., & Pentland, A. (2021). Ethical machines: The human-centric use of artificial intelligence. iScience , 24(3), 102249.
Nanni, M., Andrienko, G., Barabási, A. L., Boldrini, C., Bonchi, F., Cattuto, C., Chiaromonte, F., Comandé, G., Conti, M., Coté, M., Dignum, F., Dignum, V., Domingo-Ferrer, J., Ferragina, P., Giannotti, F., Guidotti, R., Helbing, D., Kaski, K., Kertesz, J., Lehmann, S., Lepri, B., Lukowicz, P., Matwin, S., Jiménez, D. M., Monreale, A., Morik, K., Oliver, N., Passarella, A., Passerini, A., Pedreschi, D., Pentland, A., Pianesi, F., Pratesi, F., Rinzivillo, S., Ruggieri, S., Siebes, A., Torra, V., Trasarti, R., Van Den Hoven, J., & Vespignani, A. (2021). Give more data, awareness and control to individual citizens, and they will help COVID-19 containment. iScience , 23(1), 1-6.

2020

Oliver, N., Barber, X., Roomp, K., & Roomp, K. (2020). Assessing the Impact of the COVID-19 Pandemic in Spain: Large-Scale, Online, Self-Reported Population Survey. Journal of Medical Internet Research , 22(9), e21319.
Oliver, N., Lepri, B., Sterly, H., Lambiotte, R., Deletaille, S., De Nadai, M., Letouzé, E., Salah, A. A., Benjamins, R., Cattuto, C., Colizza, V., de Cordes, N., Fraiberger, S. P., Koebe, T., Lehmann, S., Murillo, J., Pentland, A., Pham, P. N, Pivetta, F., Saramäki, J., Scarpino, S. V., Tizzoni, M., Verhulstand, S., & Vinck, P. (2020). Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle. Science Advances , 6(23), eabc0764.
Roomp, K., & Oliver, N. (2020). ACDC-Tracing: Towards Anonymous Citizen-Driven Contact Tracing. arXiv preprint arXiv:2004.07463 .
Oliver, N., Letouzé, E., Sterly, H., Delataille, S., De Nadai, M., Lepri, B., Lambiotte, R., Benjamins, R., Cattuto, C., Colizza, V., de Cordes, N., Fraiberger, S. P., Koebe, T., Lehmann, S., Murillo, J., Pentland, A., Pham, P. N., Pivetta, F., Salah, A. A., Saramäki, J., Scarpino, S. V., Tizzoni, M., Verhulst, S., & Vinck, P. (2020). Mobile phone data and COVID-19: Missing an opportunity?. arXiv preprint arXiv:2003.12347 .