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M. Nanni
and
Trasarti, R.
,
“
Querying and mining trajectories with gaps: a multi-path reconstruction approach (Extended Abstract)
”
, in
SEBD
, 2010, pp. 126-133.
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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
,
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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M. Nanni
,
Trasarti, R.
,
Furletti, B.
,
Gabrielli, L.
,
Van Der Mede, P.
,
De Bruijn, J.
,
de Romph, E.
, and
Bruil, G.
,
“
Transportation Planning Based on {GSM} Traces: {A} Case Study on Ivory Coast
”
, in
Citizen in Sensor Networks - Second International Workshop, CitiSens 2013, Barcelona, Spain, September 19, 2013, Revised Selected Papers
, 2013.
DOI
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M. Nanni
,
Raffaetà, A.
,
Renso, C.
, and
Turini, F.
,
“
Deductive and Inductive Reasoning on Trajectories
”
, in
SEBD
, 2004, pp. 98-105.
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M. Nanni
,
Raffaetà, A.
,
Renso, C.
, and
Turini, F.
,
“
Deductive and Inductive Reasoning on Spatio-Temporal Data
”
, in
INAP/WLP
, 2004, pp. 98-115.
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M. Nanni
and
Trasarti, R.
,
“
K-BestMatch Reconstruction and Comparison of Trajectory Data
”
, in
ICDM Workshops
, 2009, pp. 610-615.
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M. Nanni
and
Trasarti, R.
,
“
K-BestMatch Reconstruction and Comparison of Trajectory Data
”
, in
ICDM Workshops
, 2009, pp. 610-615.
Google Scholar
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M. Nanni
,
Trasarti, R.
, and
Giannotti, F.
,
“
Movement Behaviour Recognition for Water Activities
”
, in
Personal Analytics and Privacy. An Individual and Collective Perspective - First International Workshop, {PAP} 2017, Held in Conjunction with {ECML} {PKDD} 2017, Skopje, Macedonia, September 18, 2017, Revised Selected Papers
, 2017.
DOI
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M. Nanni
,
Trasarti, R.
,
Furletti, B.
,
Gabrielli, L.
,
Van Der Mede, P.
,
De Bruijn, J.
,
de Romph, E.
, and
Bruil, G.
,
“
MP4-A Project: Mobility Planning For Africa
”
, in
In D4D Challenge @ 3rd Conf. on the Analysis of Mobile Phone datasets (NetMob 2013)
, Cambridge, USA, 2013.
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M. Nanni
,
Trasarti, R.
,
Monreale, A.
,
Grossi, V.
, and
Pedreschi, D.
,
“
Driving Profiles Computation and Monitoring for Car Insurance CRM
”
,
Journal ACM Transactions on Intelligent Systems and Technology (TIST)
, vol. 8, pp. 14:1–14:26, 2016.
DOI
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M. Nanni
,
Raffaetà, A.
,
Renso, C.
, and
Turini, F.
,
“
Spatio-Temporal Data
”
,
Spatio-Temporal Databases: Flexible Querying and Reasoning
, p. 75, 2013.
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M. Nanni
,
Trasarti, R.
,
Cintia, P.
,
Furletti, B.
,
Renso, C.
,
Gabrielli, L.
,
Rinzivillo, S.
, and
Giannotti, F.
,
“
Mobility Profiling
”
, in
Data Science and Simulation in Transportation Research
, IGI Global, 2014, pp. 1-29.
DOI
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M. Nanni
,
Kuijpers, B.
,
Körner, C.
,
May, M.
, and
Pedreschi, D.
,
“
Spatiotemporal Data Mining
”
, in
Mobility, Data Mining and Privacy
, 2008, pp. 267-296.
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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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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.
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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.
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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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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.
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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.
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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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