Publications

You are here

Export 5 results:
[ Author(Desc)] Title Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
G
F. Giannotti, Nanni, M., Pedreschi, D., and Pinelli, F., Trajectory pattern analysis for urban traffic, in Second International Workshop on Computational Transportation Science, SEATTLE, USA, 2009, pp. 43-47.
F. Giannotti, Jeansoulin, R., and Theodoridis, Y., Beyond Current Technology: The Perspective of Three EC GIS Projects, in DEXA Workshop, 1999, p. 510.
F. Giannotti, Matteucci, A., Pedreschi, D., and Turini, F., Symbolic Evaluation with Structural Recursive Symbolic Constants, Sci. Comput. Program., vol. 9, pp. 161-177, 1987.
F. Giannotti and Manco, G., Querying inductive Databases via Logic-Based user-defined aggregates, in APPIA-GULP-PRODE, 1999, pp. 605-620.
F. Giannotti and Pedreschi, D., Declarative Semantics for Pruning Operators in Logic Programming, in LPNMR, 1990, pp. 27-37.
F. Giannotti, Nanni, M., Pinelli, F., and Pedreschi, D., Trajectory pattern mining, in KDD, 2007, pp. 330-339.
F. Giannotti, Pedreschi, D., and Theodoridis, Y., Geographic privacy-aware knowledge discovery and delivery, in EDBT, 2009, pp. 1157-1158.
F. Giannotti, Nanni, M., Pedreschi, D., Pinelli, F., Renso, C., Rinzivillo, S., and Trasarti, R., Unveiling the complexity of human mobility by querying and mining massive trajectory data, VLDB J., vol. 20, pp. 695-719, 2011.
F. Giannotti, Manco, G., Pedreschi, D., and Turini, F., Experiences with a Logic-Based Knowledge Discovery Support Environment, in AI*IA, 1999, pp. 202-213.
F. Giannotti, Manco, G., Pedreschi, D., and Turini, F., Experiences with a Logic-based knowledge discovery Support Environment, in 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, 1999.
F. Giannotti and Hermenegildo, M. V., A Technique for Recursive Invariance Detection and Selective Program Specification, in PLILP, 1991, pp. 323-334.
P. Gravino, Sirbu, A., Becker, M., Servedio, V. D. P., and Loreto, V., Experimental Assessment of the Emergence of Awareness and Its Influence on Behavioral Changes: The Everyaware Lesson, in Participatory Sensing, Opinions and Collective Awareness, Springer, 2017, pp. 337–362.
P. Gravino, Caminiti, S., Sirbu, A., Tria, F., Servedio, V. D. P., and Loreto, V., Unveiling Political Opinion Structures with a Web-experiment, in Proceedings of the 1st International Conference on Complex Information Systems, 2016.
V. Grossi, Romei, A., and Ruggieri, S., A Case Study in Sequential Pattern Mining for IT-Operational Risk, in ECML/PKDD (1), 2008, pp. 424-439.
V. Grossi, Pedreschi, D., and Turini, F., Data Mining and Constraints: An Overview, in Data Mining and Constraint Programming, Springer International Publishing, 2016, pp. 25–48.
V. Grossi, Romei, A., and Turini, F., Survey on using constraints in data mining, Data Mining and Knowledge Discovery, vol. 31, pp. 424–464, 2017.
V. Grossi, Guns, T., Monreale, A., Nanni, M., and Nijssen, S., Partition-Based Clustering Using Constraint Optimization, in Data Mining and Constraint Programming - Foundations of a Cross-Disciplinary Approach, Springer International Publishing, 2016, pp. 282–299.
V. Grossi, Monreale, A., Nanni, M., Pedreschi, D., and Turini, F., Clustering Formulation Using Constraint Optimization, in Software Engineering and Formal Methods - {SEFM} 2015 Collocated Workshops: ATSE, HOFM, MoKMaSD, and VERY*SCART, York, UK, September 7-8, 2015, Revised Selected Papers, 2015.
B. Guidi, Michienzi, A., and Rossetti, G., Towards the dynamic community discovery in decentralized online social networks, Journal of Grid Computing, vol. 17, pp. 23–44, 2019.
B. Guidi, Michienzi, A., and Rossetti, G., Dynamic community analysis in decentralized online social networks, in European Conference on Parallel Processing, 2017.
R. Guidotti, Monreale, A., and Cariaggi, L., Investigating Neighborhood Generation Methods for Explanations of Obscure Image Classifiers, in Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2019.
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 Ruggieri, S., On The Stability of Interpretable Models, in 2019 International Joint Conference on Neural Networks (IJCNN), 2019.
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 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.

Pages