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A. Rossi
,
Pappalardo, L.
,
Cintia, P.
,
F Iaia, M.
,
Fernàndez, J.
, and
Medina, D.
,
“
Effective injury forecasting in soccer with GPS training data and machine learning
”
,
PloS one
, vol. 13, p. e0201264, 2018.
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S. Ruggieri
and
Turini, F.
,
“
A KDD process for discrimination discovery
”
, in
Joint European Conference on Machine Learning and Knowledge Discovery in Databases
, 2016.
DOI
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S. Ruggieri
,
“
Enumerating Distinct Decision Trees
”
, in
International Conference on Machine Learning
, 2017.
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S. Ruggieri
,
“
Introduction to the special issue on Artificial Intelligence for Society and Economy
”
,
Intelligenza Artificiale
, vol. 9, pp. 23–23, 2015.
DOI
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S. Ruggieri
,
Hajian, S.
,
Kamiran, F.
, and
Zhang, X.
,
“
Anti-discrimination analysis using privacy attack strategies
”
, in
Joint European Conference on Machine Learning and Knowledge Discovery in Databases
, 2014.
DOI
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S. Ruggieri
,
“
Using t-closeness anonymity to control for non-discrimination.
”
,
Trans. Data Privacy
, vol. 7, pp. 99–129, 2014.
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S. Ruggieri
,
Eirinakis, P.
,
Subramani, K.
, and
Wojciechowski, P.
,
“
On the complexity of quantified linear systems
”
,
Theoretical Computer Science
, vol. 518, pp. 128–134, 2014.
DOI
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S. Ruggieri
and
Mesnard, F.
,
“
Typing Linear Constraints for Moding CLP() Programs
”
, in
SAS
, 2008, pp. 128-143.
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S. Ruggieri
,
“
Data Anonymity Meets Non-discrimination
”
, in
Data Mining Workshops (ICDMW), 2013 IEEE 13th International Conference on
, 2013.
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S. Ruggieri
,
“
Learning from polyhedral sets
”
, in
Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
, 2013.
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S
R. Portocarre Sarmento
,
Lemos, L.
,
Cordeiro, M.
,
Rossetti, G.
, and
Cardoso, D.
,
“
DynComm R Package–Dynamic Community Detection for Evolving Networks
”
,
arXiv preprint arXiv:1905.01498
, 2019.
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V. D. P. Servedio
,
Caminiti, S.
,
Gravino, P.
,
Loreto, V.
,
Sirbu, A.
, and
Tria, F.
,
“
Large Scale Engagement Through Web-Gaming and Social Computations
”
, in
Participatory Sensing, Opinions and Collective Awareness
, Springer, 2017, pp. 237–254.
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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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M. Setzu
,
Guidotti, R.
,
Monreale, A.
, and
Turini, F.
,
“
Global Explanations with Local Scoring
”
, in
Machine Learning and Knowledge Discovery in Databases
, Cham, 2020.
DOI
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M. Setzu
and
Atzori, M.
,
“
SPARQL Queries over Source Code
”
, in
2016 IEEE Tenth International Conference on Semantic Computing (ICSC)
, 2016.
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A. Sirbu
,
Ruskin, H. J.
, and
Crane, M.
,
“
Cross-platform microarray data normalisation for regulatory network inference.
”
,
PLoS One
, vol. 5, p. e13822, 2010.
PubMed
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A. Sirbu
,
Ruskin, H. J.
, and
Crane, M.
,
“
Comparison of evolutionary algorithms in gene regulatory network model inference.
”
,
BMC Bioinformatics
, vol. 11, p. 59, 2010.
PubMed
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A. Sirbu
and
Babaoglu, O.
,
“
Predicting System-level Power for a Hybrid Supercomputer
”
, in
2016 International Conference on High Performance Computing Simulation (HPCS)
, Innsbruck, Austria, 2016.
DOI
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A. Sirbu
,
Andrienko, G.
,
Andrienko, N.
,
Boldrini, C.
,
Conti, M.
,
Giannotti, F.
,
Guidotti, R.
,
Bertoli, S.
,
Kim, J.
,
Muntean, C. Ioana
,
Pappalardo, L.
,
Passarella, A.
,
Pedreschi, D.
,
Pollacci, L.
,
Pratesi, F.
, and
Sharma, R.
,
“
Human migration: the big data perspective
”
,
International Journal of Data Science and Analytics
, pp. 1–20, 2020.
DOI
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A. Sirbu
and
Babaoglu, O.
,
“
A Holistic Approach to Log Data Analysis in High-Performance Computing Systems: The Case of IBM Blue Gene/Q
”
, in
Euro-Par 2015: parallel Processing Workshops, LNCS 9523
, 2015.
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A. Sirbu
and
Babaoglu, O.
,
“
Towards Data-Driven Autonomics in Data Centers
”
, in
IEEE International Conference on Cloud and Autonomic Computing
, 2015.
DOI
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A. Sirbu
,
Crane, M.
, and
Ruskin, H. J.
,
“
Data Integration for Microarrays: Enhanced Inference for Gene Regulatory Networks
”
,
Microarrays
, vol. 4, pp. 255–269, 2015.
DOI
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A. Sirbu
,
Pedreschi, D.
,
Giannotti, F.
, and
Kertész, J.
,
“
Algorithmic bias amplifies opinion fragmentation and polarization: A bounded confidence model
”
,
PloS one
, vol. 14, p. e0213246, 2019.
DOI
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A. Sirbu
,
Giannotti, F.
,
Pedreschi, D.
, and
Kertész, J.
,
“
Public opinion and Algorithmic bias
”
,
ERCIM News
, 2019.
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A. Sirbu
and
Babaoglu, O.
,
“
Power Consumption Modeling and Prediction in a Hybrid CPU-GPU-MIC Supercomputer
”
,
22nd International European Conference on Parallel and Distributed Computing, Euro-Par 2016
, vol. LNCS 9833. Springer LNCS, Grenoble, France, 2016.
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