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Title
[
Type
]
Year
Journal Article
G. Rossetti
,
Milli, L.
,
Citraro, S.
, and
Morini, V.
,
“
UTLDR: an agent-based framework for modeling infectious diseases and public interventions
”
,
arXiv preprint arXiv:2011.05606
, 2020.
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S. Ruggieri
,
“
Using t-closeness anonymity to control for non-discrimination.
”
,
Trans. Data Privacy
, vol. 7, pp. 99–129, 2014.
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D. Aquilino
,
Asirelli, P.
,
Formuso, A.
,
Renso, C.
, and
Turini, F.
,
“
Using Medlan to Integrate Geographical Data
”
,
Journal of Logic Programming
, pp. 3–14, 2000.
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D. Aquilino
,
Asirelli, P.
,
Formuso, A.
,
Renso, C.
, and
Turini, F.
,
“
Using MedLan to Integrate Geographical Data
”
,
J. Log. Program.
, vol. 43, pp. 3-14, 2000.
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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.
Google Scholar
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R. Guidotti
,
Monreale, A.
,
Rinzivillo, S.
,
Pedreschi, D.
, and
Giannotti, F.
,
“
Unveiling mobility complexity through complex network analysis
”
,
Social Network Analysis and Mining
, vol. 6, p. 59, 2016.
DOI
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L. Pappalardo
,
Rinzivillo, S.
,
Qu, Z.
,
Pedreschi, D.
, and
Giannotti, F.
,
“
{Understanding the patterns of car travel}
”
,
The European Physical Journal Special Topics
, vol. 215, pp. 61–73, 2013.
DOI
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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.
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M. Coscia
,
Rossetti, G.
,
Giannotti, F.
, and
Pedreschi, D.
,
“
Uncovering Hierarchical and Overlapping Communities with a Local-First Approach
”
,
{TKDD}
, vol. 9, p. 6, 2014.
DOI
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A. Rauber
,
Trasarti, R.
, and
Giannotti, F.
,
“
Transparency in Algorithmic Decision Making
”
,
ERCIM News
, 2019.
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RIS
R. Barbuti
,
Mancarella, P.
,
Pedreschi, D.
, and
Turini, F.
,
“
A Transformational Approach to Negation in Logic Programming
”
,
J. Log. Program.
, vol. 8, pp. 201-228, 1990.
Google Scholar
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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.
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RIS
A. Sirbu
and
Babaoglu, O.
,
“
Towards operator-less data centers through data-driven, predictive, proactive autonomics
”
,
Cluster Computing
, pp. 1–14, 2016.
DOI
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RIS
S. Ceri
,
Palpanas, T.
,
Valle, E. Della
,
Pedreschi, D.
,
Freytag, J. - C.
, and
Trasarti, R.
,
“
Towards mega-modeling: a walk through data analysis experiences
”
,
{SIGMOD} Record
, vol. 42, pp. 19–27, 2013.
DOI
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V. Morini
,
Pollacci, L.
, and
Rossetti, G.
,
“
Toward a Standard Approach for Echo Chamber Detection: Reddit Case Study
”
,
Applied Sciences
, vol. 11, p. 5390, 2021.
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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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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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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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RIS
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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RIS
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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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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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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