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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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L. Pappalardo
,
Cintia, P.
,
Rossi, A.
,
Massucco, E.
,
Ferragina, P.
,
Pedreschi, D.
, and
Giannotti, F.
,
“
A public data set of spatio-temporal match events in soccer competitions
”
,
Scientific data
, vol. 6, pp. 1–15, 2019.
DOI
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L. Pappalardo
,
Rossetti, G.
, and
Pedreschi, D.
,
“
"How Well Do We Know Each Other?" Detecting Tie Strength in Multidimensional Social Networks
”
, in
International Conference on Advances in Social Networks Analysis and Mining, {ASONAM} 2012, Istanbul, Turkey, 26-29 August 2012
, 2012.
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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V. Pansanella
,
Rossetti, G.
, and
Milli, L.
,
“
From Mean-Field to Complex Topologies: Network Effects on the Algorithmic Bias Model
”
, in
Complex Networks & Their Applications X
, 2022.
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C. Panigutti
,
Tizzoni, M.
,
Bajardi, P.
,
Smoreda, Z.
, and
Colizza, V.
,
“
Assessing the use of mobile phone data to describe recurrent mobility patterns in spatial epidemic models
”
,
Royal Society open science
, vol. 4, p. 160950, 2017.
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C. Panigutti
,
Perotti, A.
, and
Pedreschi, D.
,
“
Doctor XAI: an ontology-based approach to black-box sequential data classification explanations
”
, in
Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency
, 2020.
DOI
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C. Panigutti
,
Guidotti, R.
,
Monreale, A.
, and
Pedreschi, D.
,
“
Explaining multi-label black-box classifiers for health applications
”
, in
International Workshop on Health Intelligence
, 2019.
DOI
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O
R. Ortale
,
Ritacco, E.
,
Pelekisy, N.
,
Trasarti, R.
,
Costa, G.
,
Giannotti, F.
,
Manco, G.
,
Renso, C.
, and
Theodoridis, Y.
,
“
DAEDALUS: A knowledge discovery analysis framework for movement data
”
, in
SEBD
, 2008, pp. 191-198.
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R. Ortale
,
Ritacco, E.
,
Pelekis, N.
,
Trasarti, R.
,
Costa, G.
,
Giannotti, F.
,
Manco, G.
,
Renso, C.
, and
Theodoridis, Y.
,
“
The DAEDALUS framework: progressive querying and mining of movement data
”
, in
GIS
, 2008, p. 52.
Google Scholar
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R. Ong
,
Pinelli, F.
,
Trasarti, R.
,
Nanni, M.
,
Renso, C.
,
Rinzivillo, S.
, and
Giannotti, F.
,
“
Traffic Jams Detection Using Flock Mining
”
, in
ECML/PKDD (3)
, 2011, pp. 650-653.
Google Scholar
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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.
Google Scholar
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N
E. Ntoutsi
,
Fafalios, P.
,
Gadiraju, U.
,
Iosifidis, V.
,
Nejdl, W.
,
Vidal, M. - E.
,
Ruggieri, S.
,
Turini, F.
,
Papadopoulos, S.
,
Krasanakis, E.
, and
others,
“
Bias in data-driven artificial intelligence systems—An introductory survey
”
,
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
, vol. 10, p. e1356, 2020.
DOI
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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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M. Natilli
and
Romano, M. Francesca
,
“
The impact of wine and food tourism in Italy: an analysis of official statistical data at province level
”
, in
First European Conference on Wine and Food Tourism
, 2011.
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M. Natilli
,
Rossi, A.
,
Trecroci, A.
,
Cavaggioni, L.
,
Merati, G.
, and
Formenti, D.
,
“
The long-tail effect of the COVID-19 lockdown on Italians’ quality of life, sleep and physical activity
”
,
Scientific Data
, vol. 9, pp. 1–10, 2022.
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M. Natilli
,
Fadda, D.
,
Rinzivillo, S.
,
Pedreschi, D.
, and
Licari, F.
,
“
Analysis and Visualization of Performance Indicators in University Admission Tests
”
, in
Formal Methods. FM 2019 International Workshops
, Cham, 2020.
DOI
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M. Natilli
,
Monreale, A.
,
Guidotti, R.
, and
Pappalardo, L.
,
“
Exploring Students Eating Habits Through Individual Profiling and Clustering Analysis
”
, in
ECML PKDD 2018 Workshops
, 2018.
Google Scholar
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F. Naretto
,
Pellungrini, R.
,
Monreale, A.
,
Nardini, F. Maria
, and
Musolesi, M.
,
“
Predicting and Explaining Privacy Risk Exposure in Mobility Data
”
, in
Discovery Science
, Cham, 2020.
DOI
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F. Naretto
,
Pellungrini, R.
,
Fadda, D.
, and
Rinzivillo, S.
,
“
EXPHLOT: EXplainable Privacy assessment for Human LOcation Trajectories
”
, in
Discovery Science
, 2023.
Google Scholar
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F. Naretto
,
Pellungrini, R.
,
Nardini, F. Maria
, and
Giannotti, F.
,
“
Prediction and Explanation of Privacy Risk on Mobility Data with Neural Networks
”
, in
ECML PKDD 2020 Workshops
, Cham, 2020.
DOI
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F. Naretto
,
Monreale, A.
, and
Giannotti, F.
,
“
Evaluating the Privacy Exposure of Interpretable Global and Local Explainers
”
, in
Submitted at Journal of Artificial Intelligence and Law
, 2023.
Google Scholar
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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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M. Nanni
,
Raffaetà, A.
,
Renso, C.
, and
Turini, F.
,
“
\newblock{A Declarative Framework for Reasoning on Spatio-temporal Data}
”
, 2004.
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M. Nanni
,
Trasarti, R.
,
Renso, C.
,
Giannotti, F.
, and
Pedreschi, D.
,
“
Advanced knowledge discovery on movement data with the GeoPKDD system
”
, in
EDBT
, 2010, pp. 693-696.
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