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Dino Pedreschi
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Journal Article
G. Rossetti
,
Milli, L.
,
Rinzivillo, S.
,
Sirbu, A.
,
Pedreschi, D.
, and
Giannotti, F.
,
“
NDlib: a python library to model and analyze diffusion processes over complex networks
”
,
International Journal of Data Science and Analytics
, vol. 5, pp. 61–79, 2018.
DOI
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M. Berlingerio
,
Coscia, M.
,
Giannotti, F.
,
Monreale, A.
, and
Pedreschi, D.
,
“
Multidimensional networks: foundations of structural analysis
”
,
World Wide Web
, vol. Volume 15 / 2012, 2012.
DOI
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A. Monreale
,
Andrienko, G.
,
Andrienko, N.
,
Giannotti, F.
,
Pedreschi, D.
,
Rinzivillo, S.
, and
Wrobel, S.
,
“
Movement Data Anonymity through Generalization
”
,
Transactions on Data Privacy
, vol. 3, pp. 91–121, 2010.
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A. Brogi
,
Mancarella, P.
,
Pedreschi, D.
, and
Turini, F.
,
“
Modular Logic Programming
”
,
ACM Trans. Program. Lang. Syst.
, vol. 16, pp. 1361-1398, 1994.
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A. Rita Nogueira
,
Pugnana, A.
,
Ruggieri, S.
,
Pedreschi, D.
, and
Gama, J.
,
“
Methods and tools for causal discovery and causal inference
”
,
WIREs Data Mining Knowl. Discov.
, vol. 12, 2022.
Google Scholar
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D. Pedreschi
and
Ruggieri, S.
,
“
On Logic Programs That Do Not Fail
”
,
Electr. Notes Theor. Comput. Sci.
, vol. 30, 1999.
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D. Pedreschi
and
Ruggieri, S.
,
“
On logic programs that always succeed
”
,
Sci. Comput. Program.
, vol. 48, pp. 163-196, 2003.
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L. Pollacci
,
Guidotti, R.
,
Rossetti, G.
,
Giannotti, F.
, and
Pedreschi, D.
,
“
The italian music superdiversity
”
,
Multimedia Tools and Applications
, pp. 1–23, 2018.
DOI
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L. Pappalardo
,
Grossi, V.
, and
Pedreschi, D.
,
“
Introduction to the special issue on social mining and big data ecosystem for open, responsible data science
”
, 2021.
DOI
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C. Bessiere
,
De Raedt, L.
,
Guns, T.
,
Kotthoff, L.
,
Nanni, M.
,
Nijssen, S.
,
O'Sullivan, B.
,
Paparrizou, A.
,
Pedreschi, D.
, and
Simonis, H.
,
“
The Inductive Constraint Programming Loop
”
,
IEEE Intelligent Systems
, 2017.
DOI
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M. Nanni
,
Nijssen, S.
,
O'Sullivan, B.
,
Paparrizou, A.
,
Pedreschi, D.
, and
Simonis, H.
,
“
The Inductive Constraint Programming Loop
”
,
Data Mining and Constraint Programming: Foundations of a Cross-Disciplinary Approach
, vol. 10101, p. 303, 2017.
Google Scholar
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A. Brogi
,
Chiarelli, A.
,
Mancarella, P.
,
Mazzotta, V.
,
Pedreschi, D.
,
Renso, C.
, and
Turini, F.
,
“
Implementations of Program Composition Operations
”
, pp. 292–307, 1994.
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M. Nanni
,
Kotthoff, L.
,
Guidotti, R.
,
O'Sullivan, B.
, and
Pedreschi, D.
,
“
ICON Loop Carpooling Show Case
”
,
Data Mining and Constraint Programming: Foundations of a Cross-Disciplinary Approach
, vol. 10101, p. 310, 2017.
Google Scholar
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A. Sirbu
,
Andrienko, G.
,
Andrienko, N.
,
Boldrini, C.
,
Conti, M.
,
Giannotti, F.
,
Guidotti, R.
,
Bertoli, S.
,
Kim, J.
,
Muntean, C. Ioana
,
Pappalardo, L.
,
Passarella, A.
,
Pedreschi, D.
,
Pollacci, L.
,
Pratesi, F.
, and
Sharma, R.
,
“
Human migration: the big data perspective
”
,
International Journal of Data Science and Analytics
, pp. 1–20, 2020.
DOI
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G. Rossetti
,
Pappalardo, L.
,
Kikas, R.
,
Pedreschi, D.
,
Giannotti, F.
, and
Dumas, M.
,
“
Homophilic network decomposition: a community-centric analysis of online social services
”
,
Social Network Analysis and Mining
, vol. 6, p. 103, 2016.
DOI
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M. Setzu
,
Guidotti, R.
,
Monreale, A.
,
Turini, F.
,
Pedreschi, D.
, and
Giannotti, F.
,
“
GLocalX - From Local to Global Explanations of Black Box AI Models
”
, vol. 294, p. 103457, 2021.
DOI
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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.
DOI
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I. Martinucci
,
Natilli, M.
,
Lorenzoni, V.
,
Pappalardo, L.
,
Monreale, A.
,
Turchetti, G.
,
Pedreschi, D.
,
Marchi, S.
,
Barale, R.
, and
de Bortoli, N.
,
“
Gastroesophageal reflux symptoms among Italian university students: epidemiology and dietary correlates using automatically recorded transactions
”
,
BMC gastroenterology
, vol. 18, p. 116, 2018.
DOI
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M. Fayzullin
,
Nanni, M.
,
Pedreschi, D.
, and
Subrahmanian, V. S.
,
“
Foundations of distributed interaction systems
”
,
Ann. Math. Artif. Intell.
, vol. 28, pp. 127-168, 2000.
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G. Rossetti
,
Milli, L.
,
Giannotti, F.
, and
Pedreschi, D.
,
“
Forecasting success via early adoptions analysis: A data-driven study
”
,
PloS one
, vol. 12, p. e0189096, 2017.
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R. Guidotti
,
Monreale, A.
,
Giannotti, F.
,
Pedreschi, D.
,
Ruggieri, S.
, and
Turini, F.
,
“
Factual and Counterfactual Explanations for Black Box Decision Making
”
,
IEEE Intelligent Systems
, 2019.
DOI
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F. Bonchi
,
Giannotti, F.
,
Mazzanti, A.
, and
Pedreschi, D.
,
“
Exante: A Preprocessing Method for Frequent-Pattern Mining
”
,
IEEE Intelligent Systems
, vol. 20, pp. 25-31, 2005.
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M. Berlingerio
,
Coscia, M.
,
Giannotti, F.
,
Monreale, A.
, and
Pedreschi, D.
,
“
Evolving networks: Eras and turning points
”
,
Intell. Data Anal.
, vol. 17, pp. 27–48, 2013.
DOI
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N. Forgó
,
Hänold, S.
,
van den Hoven, J.
,
Krügel, T.
,
Lishchuk, I.
,
Mahieu, R.
,
Monreale, A.
,
Pedreschi, D.
,
Pratesi, F.
, and
van Putten, D.
,
“
An ethico-legal framework for social data science
”
, 2020.
DOI
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A. Rossi
,
Pedreschi, D.
,
Clifton, D. A.
, and
Morelli, D.
,
“
Error Estimation of Ultra-Short Heart Rate Variability Parameters: Effect of Missing Data Caused by Motion Artifacts
”
,
Sensors
, vol. 20, p. 7122, 2020.
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