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G
R. Guidotti, Trasarti, R., and Nanni, M., {TOSCA:} two-steps clustering algorithm for personal locations detection, in Proceedings of the 23rd {SIGSPATIAL} International Conference on Advances in Geographic Information Systems, Bellevue, WA, USA, November 3-6, 2015, 2015.
R. Guidotti, Coscia, M., Pedreschi, D., and Pennacchioli, D., Going Beyond GDP to Nowcast Well-Being Using Retail Market Data, in Advances in Network Science, Springer International Publishing, 2016, pp. 29–42.
R. Guidotti and Berlingerio, M., Where Is My Next Friend? Recommending Enjoyable Profiles in Location Based Services, in Complex Networks VII, Springer International Publishing, 2016, pp. 65–78.
R. Guidotti, Trasarti, R., Nanni, M., and Giannotti, F., Towards user-centric data management: individual mobility analytics for collective services, in Proceedings of the 4th {ACM} {SIGSPATIAL} International Workshop on Mobile Geographic Information Systems, MobiGIS 2015, Bellevue, WA, USA, November 3-6, 2015, 2015.
H
S. Hajian, Monreale, A., Pedreschi, D., Domingo-Ferrer, J., and Giannotti, F., Fair pattern discovery, in Symposium on Applied Computing, {SAC} 2014, Gyeongju, Republic of Korea - March 24 - 28, 2014, 2014, pp. 113–120.
S. Hajian, Monreale, A., Pedreschi, D., Domingo-Ferrer, J., and Giannotti, F., Injecting Discrimination and Privacy Awareness Into Pattern Discovery, in 12th {IEEE} International Conference on Data Mining Workshops, {ICDM} Workshops, Brussels, Belgium, December 10, 2012, 2012, pp. 360–369.
S. Hajian, Domingo-Ferrer, J., Monreale, A., Pedreschi, D., and Giannotti, F., Discrimination- and privacy-aware patterns, Data Min. Knowl. Discov., vol. 29, pp. 1733–1782, 2015.
H. Hosni, Masserotti, M. V., and Renso, C., Maximum Entropy Reasoning for GIS, 2006.
L
O. Lampridis, Guidotti, R., and Ruggieri, S., Explaining Sentiment Classification with Synthetic Exemplars and Counter-Exemplars, in Discovery Science, Cham, 2020.
L. Leone, Marchitiello, M., Natilli, M., and Romano, M. Francesca, Measuring the effectiveness of homeopathic care through objective and shared indicators, Homeopathy, vol. 100, pp. 212–219, 2011.
F. Lillo and Ruggieri, S., Estimating the Total Volume of Queries to a Search Engine, IEEE Transactions on Knowledge and Data Engineering, pp. 1-1, 2021.
V. M. de Lira, Times, V. C., Renso, C., and Rinzivillo, S., ComeWithMe: An Activity-Oriented Carpooling Approach, in 2015 {IEEE} 18th International Conference on Intelligent Transportation Systems, 2015.
V. M. de Lira, Rinzivillo, S., Renso, C., Times, V. C., and Tedesco, P. {\'ı}ciaC. A. R., Investigating semantic regularity of human mobility lifestyle, in 18th International Database Engineering {&} Applications Symposium, {IDEAS} 2014, Porto, Portugal, July 7-9, 2014, Porto, Portugal, 2014, pp. 314–317.
V. M. de Lira, Rinzivillo, S., Times, V. C., and Renso, C., {MAPMOLTY:} {A} Web Tool for Discovering Place Loyalty Based on Mobile Crowdsource Data, in Web Engineering, 14th International Conference, {ICWE} 2014, Toulouse, France, July 1-4, 2014. Proceedings, 2014, pp. 528–531.
V. Lorenzoni, Triulzi, I., Martinucci, I., Toncelli, L., Natilli, M., Barale, R., and Turchetti, G., Understanding eating choices among university students: A study using data from cafeteria cashiers’ transactions, Health Policy, vol. 125, pp. 665–673, 2021.
C. Lucchese, Bonchi, F., Giannotti, F., Orlando, S., Perego, R., and Trasarti, R., On Interactive Pattern Mining from Relational Databases, in SEBD, 2006, pp. 329-338.
A. Lulli, Gabrielli, L., Dazzi, P., Dell'Amico, M., Michiardi, P., Nanni, M., and Ricci, L., Scalable and flexible clustering solutions for mobile phone-based population indicators, I. J. Data Science and Analytics, vol. 4, pp. 285–299, 2017.
B. Thanh Luong, Ruggieri, S., and Turini, F., Classification Rule Mining Supported by Ontology for Discrimination Discovery, in Data Mining Workshops (ICDMW), 2016 IEEE 16th International Conference on, 2016.

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