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Matwin, Stan
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Journal Article
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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Conference Paper
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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O. Lampridis
,
Guidotti, R.
, and
Ruggieri, S.
,
“
Explaining Sentiment Classification with Synthetic Exemplars and Counter-Exemplars
”
, in
Discovery Science
, Cham, 2020.
DOI
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R. Guidotti
,
Monreale, A.
,
Matwin, S.
, and
Pedreschi, D.
,
“
Black Box Explanation by Learning Image Exemplars in the Latent Feature Space
”
, in
Machine Learning and Knowledge Discovery in Databases
, Cham, 2020.
DOI
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