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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
J. - F. Boulicaut
,
Esposito, F.
,
Giannotti, F.
, and
Pedreschi, D.
,
“
Machine Learning: ECML 2004, 15th European Conference on Machine Learning, Pisa, Italy, September 20-24, 2004, Proceedings
”
,
Lecture Notes in Computer Science
, vol. 3201. Springer, 2004.
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F. Giannotti
and
Manco, G.
,
“
Making Knowledge Extraction and Reasoning Closer
”
, in
PAKDD
, 2000, pp. 360-371.
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A. Botea
,
Braghin, S.
,
Lopes, N.
,
Guidotti, R.
, and
Pratesi, F.
,
“
Managing travels with PETRA: The Rome use case
”
, in
2015 31st IEEE International Conference on Data Engineering Workshops (ICDEW)
, 2015.
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V. M. de Lira
,
Rinzivillo, S.
,
Times, V. C.
, and
Renso, C.
,
“
{MAPMOLTY:} {A} Web Tool for Discovering Place Loyalty Based on Mobile Crowdsource Data
”
, in
Web Engineering, 14th International Conference, {ICWE} 2014, Toulouse, France, July 1-4, 2014. Proceedings
, 2014, pp. 528–531.
DOI
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R. Guidotti
,
Rossetti, G.
,
Pappalardo, L.
,
Giannotti, F.
, and
Pedreschi, D.
,
“
Market Basket Prediction using User-Centric Temporal Annotated Recurring Sequences
”
, in
2017 IEEE International Conference on Data Mining (ICDM)
, 2017.
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A. S. Furtado
,
Fileto, R.
, and
Renso, C.
,
“
M-Attract: Assessing Places Attractiveness by using Moving Objects Trajectories Data
”
, in
GEOINFO 2012 Brazilian Conference on Geographical Information Systems
, 2012.
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H. Hosni
,
Masserotti, M. V.
, and
Renso, C.
,
“
Maximum Entropy Reasoning for GIS
”
, 2006.
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D. Pedreschi
,
Giannotti, F.
,
Guidotti, R.
,
Monreale, A.
,
Ruggieri, S.
, and
Turini, F.
,
“
Meaningful explanations of Black Box AI decision systems
”
, in
Proceedings of the AAAI Conference on Artificial Intelligence
, 2019.
DOI
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D. Pedreschi
,
Ruggieri, S.
, and
Turini, F.
,
“
Measuring Discrimination in Socially-Sensitive Decision Records
”
, in
SDM
, 2009, pp. 581-592.
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L. Leone
,
Marchitiello, M.
,
Natilli, M.
, and
Romano, M. Francesca
,
“
Measuring the effectiveness of homeopathic care through objective and shared indicators
”
,
Homeopathy
, vol. 100, pp. 212–219, 2011.
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G. Rossetti
,
Pappalardo, L.
, and
Pedreschi, D.
,
“
Measuring tie strength in multidimensional networks
”
, in
SEDB 2013
, 2013.
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C. Renso
,
Mechanisms for Semantic Integration of Deductive Databases
. 1998.
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G. Cornacchia
and
Pappalardo, L.
,
“
A Mechanistic Data-Driven Approach to Synthesize Human Mobility Considering the Spatial, Temporal, and Social Dimensions Together
”
,
ISPRS International Journal of Geo-Information
, vol. 10, p. 599, 2021.
DOI
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C. Renso
and
Ruggieri, S.
,
“
A Mediator Approach for Representing Knowledge
”
,
Intelligent Multimedia Presentation Systems. Human Computer Interaction Letters, 1 (1): 32-38, April 1998.
, 1998.
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S. Ceri
,
Valle, E. Della
,
Pedreschi, D.
, and
Trasarti, R.
,
“
Mega-modeling for Big Data Analytics
”
, in
Conceptual Modeling - 31st International Conference {ER} 2012, Florence, Italy, October 15-18, 2012. Proceedings
, 2012.
DOI
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A. Brogi
,
Mancarella, P.
,
Pedreschi, D.
, and
Turini, F.
,
“
Meta for Modularising Logic Programming
”
, in
META
, 1992, pp. 105-119.
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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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M. Berlingerio
,
Bonchi, F.
,
Giannotti, F.
, and
Turini, F.
,
“
Mining Clinical Data with a Temporal Dimension: A Case Study
”
, in
BIBM
, 2007, pp. 429-436.
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M. Berlingerio
,
Bonchi, F.
,
Curcio, M.
,
Giannotti, F.
, and
Turini, F.
,
“
Mining Clinical, Immunological, and Genetic Data of Solid Organ Transplantation
”
, in
Biomedical Data and Applications
, 2009, pp. 211-236.
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P. Cintia
,
Pappalardo, L.
, and
Pedreschi, D.
,
“
Mining efficient training patterns of non-professional cyclists
”
, in
22nd Italian Symposium on Advanced Database Systems, {SEBD} 2014, Sorrento Coast, Italy, June 16-18, 2014.
, 2014.
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M. Berlingerio
,
Bonchi, F.
,
Bringmann, B.
, and
Gionis, A.
,
“
Mining Graph Evolution Rules
”
, in
ECML/PKDD 2009
, Bled, Slovenia, 2009, pp. 115-130.
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M. Berlingerio
,
Bonchi, F.
,
Chelazzi, S.
,
Curcio, M.
,
Giannotti, F.
, and
Scatena, F.
,
“
Mining HLA Patterns Explaining Liver Diseases
”
, in
CBMS
, 2006, pp. 702-707.
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B. Furletti
and
Turini, F.
,
“
Mining Influence Rules out of Ontologies
”
, in
International Conference on Software and Data Technologies (ICSOFT)
, Siviglia, Spagna, 2011.
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P. Mukala
,
Cerone, A.
, and
Turini, F.
,
“
Mining learning processes from FLOSS mailing archives
”
, in
Conference on e-Business, e-Services and e-Society
, 2015.
DOI
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