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M. Nanni
and
Pedreschi, D.
,
“
Time-focused clustering of trajectories of moving objects
”
,
J. Intell. Inf. Syst.
, vol. 27, pp. 267-289, 2006.
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M. Berlingerio
,
Bonchi, F.
,
Giannotti, F.
, and
Turini, F.
,
“
Time-Annotated Sequences for Medical Data Mining
”
, in
ICDM Workshops
, 2007, pp. 133-138.
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G. Rossetti
,
Pappalardo, L.
,
Pedreschi, D.
, and
Giannotti, F.
,
“
Tiles: an online algorithm for community discovery in dynamic social networks
”
,
Machine Learning
, vol. 106, pp. 1213–1241, 2017.
DOI
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D. Pennacchioli
,
Rossetti, G.
,
Pappalardo, L.
,
Pedreschi, D.
,
Giannotti, F.
, and
Coscia, M.
,
“
The Three Dimensions of Social Prominence
”
, in
Social Informatics - 5th International Conference, SocInfo 2013, Kyoto, Japan, November 25-27, 2013, Proceedings
, 2013.
DOI
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R. Guidotti
,
Trasarti, R.
,
Nanni, M.
,
Giannotti, F.
, and
Pedreschi, D.
,
“
There's A Path For Everyone: A Data-Driven Personal Model Reproducing Mobility Agendas
”
, in
4th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2017)
, Tokyo, 2017.
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A. Brogi
,
Mancarella, P.
,
Pedreschi, D.
, and
Turini, F.
,
“
Theory Construction in Computational Logic
”
, in
ICLP Workshop on Construction of Logic Programs
, 1991, pp. 241-250.
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A. Raffaetà
and
Renso, C.
,
“
Temporal Reasoning in Geographical Information Systems
”
, in
DEXA Workshop
, 2000, pp. 899-905.
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M. Berlingerio
,
Pinelli, F.
,
Nanni, M.
, and
Giannotti, F.
,
“
Temporal mining for interactive workflow data analysis
”
, in
KDD
, 2009, pp. 109-118.
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M. Berlingerio
,
Giannotti, F.
,
Nanni, M.
, and
Pinelli, F.
,
“
Temporal analysis of process logs: a case study
”
, in
SEBD
, 2008, pp. 430-437.
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F. Giannotti
and
Hermenegildo, M. V.
,
“
A Technique for Recursive Invariance Detection and Selective Program Specification
”
, in
PLILP
, 1991, pp. 323-334.
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M. Wachowicz
,
Ong, R.
, and
Renso, C.
,
“
Tailoring Moving Patterns to Contexts
”
, in
AGILE Conference
, Leuven, Belgium, 2013, 2013.
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S
F. Giannotti
,
Mazzoni, A.
,
Puntoni, S.
, and
Renso, C.
,
“
Synthetic generation of cellular network positioning data
”
, in
GIS
, 2005, pp. 12-20.
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F. Giannotti
,
Mazzoni, A.
,
Puntoni, S.
, and
Renso, C.
,
“
Synthetic generation of cellular network positioning data
”
, in
GIS
, 2005, pp. 12-20.
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V. Ambriola
,
Giannotti, F.
,
Pedreschi, D.
, and
Turini, F.
,
“
Symbolic Semantics and Program Reduction
”
,
IEEE Trans. Software Eng.
, vol. 11, pp. 784-794, 1985.
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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.
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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.
DOI
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R. Guidotti
,
Monreale, A.
,
Ruggieri, S.
,
Turini, F.
,
Giannotti, F.
, and
Pedreschi, D.
,
“
A survey of methods for explaining black box models
”
,
ACM computing surveys (CSUR)
, vol. 51, p. 93, 2018.
DOI
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G. Rossetti
,
Guidotti, R.
,
Miliou, I.
,
Pedreschi, D.
, and
Giannotti, F.
,
“
A supervised approach for intra-/inter-community interaction prediction in dynamic social networks
”
,
Social Network Analysis and Mining
, vol. 6, p. 86, 2016.
DOI
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R. Ong
,
Nanni, M.
,
Renso, C.
,
Wachowicz, M.
, and
Pedreschi, D.
,
“
A Study on Parameter Estimation for a Mining Flock Algorithm
”
, in
Mining Complex Patterns Workshop, ECML PKDD 2013
, 2013.
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G. Cornacchia
and
Pappalardo, L.
,
“
STS-EPR: Modelling individual mobility considering the spatial, temporal, and social dimensions together
”
, 2021.
DOI
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G. Tomei
,
Paletti, F.
, and
Natilli, M.
,
“
Stiramenti identitari. Strategie di integrazione degli strannieri nella provincia di Massa Carrara tra appartenenza etnica ed esperienza transnazionale
”
, 2011.
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G. Amato
,
Giannotti, F.
, and
Mainetto, G.
,
“
Static Analysis of Transactions for Conservative Multigranularity Locking
”
, in
DBPL
, 1997, pp. 413-430.
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G. Amato
,
Giannotti, F.
, and
Mainetto, G.
,
“
Static Analysis of Transactions: an Experiment of Abstract Interpretation Usage
”
, in
FMLDO
, 1993, pp. 19-29.
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A. Sirbu
,
Ruskin, H. J.
, and
Crane, M.
,
“
Stages of Gene Regulatory Network Inference: the Evolutionary Algorithm Role
”
, in
Evolutionary Algorithms
, InTech, 2011.
DOI
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R. Guidotti
,
Monreale, A.
,
Ruggieri, S.
,
Naretto, F.
,
Turini, F.
,
Pedreschi, D.
, and
Giannotti, F.
,
“
Stable and actionable explanations of black-box models through factual and counterfactual rules
”
,
Data Mining and Knowledge Discovery
, 2022.
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