M.  Nanni, Andrienko, G., Barabasi, 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., Kertész, J., Lehmann, S., Lepri, B., Lukowicz, P., Matwin, S., Jiménez, D. Megías, 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., and Vespignani, A., ?Give more data, awareness and control to individual citizens, and they will help COVID-19 containment?, 2021.

R.  Guidotti, Monreale, A., Matwin, S., and Pedreschi, D., ?Black Box Explanation by Learning Image Exemplars in the Latent Feature Space?, in Machine Learning and Knowledge Discovery in Databases, Cham, 2020.

O.  Lampridis, Guidotti, R., and Ruggieri, S., ?Explaining Sentiment Classification with Synthetic Exemplars and Counter-Exemplars?, in Discovery Science, Cham, 2020.

F.  Naretto, Pellungrini, R., Monreale, A., Nardini, F. Maria, and Musolesi, M., ?Predicting and Explaining Privacy Risk Exposure in Mobility Data?, in Discovery Science, Cham, 2020.