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Title
Type
[
Year
]
2022
F. Bodria
,
“
Explaining Black Box with visual exploration of Latent Space
”
, in
EuroVis
, 2022.
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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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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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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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2021
F. Bodria
,
Giannotti, F.
,
Guidotti, R.
,
Naretto, F.
,
Pedreschi, D.
, and
Rinzivillo, S.
,
“
Benchmarking and Survey of Explanation Methods for Black Box Models
”
,
CoRR
, vol. abs/2102.13076, 2021.
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S. Marina Joseph
,
Citraro, S.
,
Morini, V.
,
Rossetti, G.
, and
Stella, M.
,
“
Cognitive network science quantifies feelings expressed in suicide letters and Reddit mental health communities
”
,
arXiv preprint arXiv:2110.15269
, 2021.
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G. Rossetti
,
Citraro, S.
, and
Milli, L.
,
“
Conformity: a Path-Aware Homophily measure for Node-Attributed Networks
”
,
IEEE Intelligent SystemsIEEE Intelligent Systems
, pp. 1 - 1, 2021.
DOI
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F. Lillo
and
Ruggieri, S.
,
“
Estimating the Total Volume of Queries to a Search Engine
”
,
IEEE Transactions on Knowledge and Data Engineering
, pp. 1-1, 2021.
DOI
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L. Pappalardo
,
Rossi, A.
,
Natilli, M.
, and
Cintia, P.
,
“
Explaining the difference between men’s and women’s football
”
,
PLOS ONE
, vol. 16, p. e0255407, 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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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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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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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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M. Fontana
,
Naretto, F.
, and
Monreale, A.
,
“
A new approach for cross-silo federated learning and its privacy risks
”
, in
18th International Conference on Privacy, Security and Trust, PST 2021, Auckland, New Zealand, December 13-15, 2021
, 2021.
DOI
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G. Mariani
,
Monreale, A.
, and
Naretto, F.
,
“
Privacy Risk Assessment of Individual Psychometric Profiles
”
, in
Discovery Science - 24th International Conference, DS 2021, Halifax, NS, Canada, October 11-13, 2021, Proceedings
, 2021.
DOI
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G. Cornacchia
and
Pappalardo, L.
,
“
STS-EPR: Modelling individual mobility considering the spatial, temporal, and social dimensions together
”
, 2021.
DOI
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V. Morini
,
Pollacci, L.
, and
Rossetti, G.
,
“
Toward a Standard Approach for Echo Chamber Detection: Reddit Case Study
”
,
Applied Sciences
, vol. 11, p. 5390, 2021.
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2020
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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G. Rossetti
,
“
ANGEL: efficient, and effective, node-centric community discovery in static and dynamic networks
”
,
Applied Network Science
, vol. 5, pp. 1–23, 2020.
DOI
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D. Pedreschi
and
Miliou, I.
,
“
Artificial Intelligence (AI): new developments and innovations applied to e-commerce
”
, European Parliament's committee on the Internal Market and Consumer Protection, 2020.
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B. Dong
,
Wang, H.
,
Monreale, A.
,
Pedreschi, D.
,
Giannotti, F.
, and
Guo, W.
,
“
Authenticated Outlier Mining for Outsourced Databases
”
,
IEEE Transactions on Dependable and Secure Computing
, vol. 17, pp. 222 - 235, 2020.
DOI
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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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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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G. Rossetti
,
Morini, V.
, and
Pollacci, L.
,
“
Capturing Political Polarization of Reddit Submissions in the Trump Era
”
, in
SEBD
, 2020.
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B. Qureshi
,
Kamiran, F.
,
Karim, A.
,
Ruggieri, S.
, and
Pedreschi, D.
,
“
Causal inference for social discrimination reasoning
”
, vol. 54, pp. 425 - 437, 2020.
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