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Franco Turini
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2021
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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2020
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.
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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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2019
R. Guidotti
,
Monreale, A.
,
Giannotti, F.
,
Pedreschi, D.
,
Ruggieri, S.
, and
Turini, F.
,
“
Factual and Counterfactual Explanations for Black Box Decision Making
”
,
IEEE Intelligent Systems
, 2019.
DOI
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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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2018
R. Guidotti
,
Monreale, A.
,
Ruggieri, S.
,
Pedreschi, D.
,
Turini, F.
, and
Giannotti, F.
,
“
Local Rule-Based Explanations of Black Box Decision Systems
”
, 2018.
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D. Pedreschi
,
Giannotti, F.
,
Guidotti, R.
,
Monreale, A.
,
Pappalardo, L.
,
Ruggieri, S.
, and
Turini, F.
,
“
Open the Black Box Data-Driven Explanation of Black Box Decision Systems
”
, 2018.
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R. Guidotti
,
Monreale, A.
,
Ruggieri, S.
,
Turini, F.
,
Giannotti, F.
, and
Pedreschi, D.
,
“
A survey of methods for explaining black box models
”
,
ACM computing surveys (CSUR)
, vol. 51, p. 93, 2018.
DOI
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2017
P. Mukala
,
Cerone, A.
, and
Turini, F.
,
“
An empirical verification of a-priori learning models on mailing archives in the context of online learning activities of participants in free\libre open source software (FLOSS) communities
”
,
Education and Information Technologies
, vol. 22, pp. 3207–3229, 2017.
DOI
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V. Grossi
,
Romei, A.
, and
Turini, F.
,
“
Survey on using constraints in data mining
”
,
Data Mining and Knowledge Discovery
, vol. 31, pp. 424–464, 2017.
DOI
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2016
B. Thanh Luong
,
Ruggieri, S.
, and
Turini, F.
,
“
Classification Rule Mining Supported by Ontology for Discrimination Discovery
”
, in
Data Mining Workshops (ICDMW), 2016 IEEE 16th International Conference on
, 2016.
DOI
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V. Grossi
,
Pedreschi, D.
, and
Turini, F.
,
“
Data Mining and Constraints: An Overview
”
, in
Data Mining and Constraint Programming
, Springer International Publishing, 2016, pp. 25–48.
DOI
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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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2015
V. Grossi
,
Monreale, A.
,
Nanni, M.
,
Pedreschi, D.
, and
Turini, F.
,
“
Clustering Formulation Using Constraint Optimization
”
, in
Software Engineering and Formal Methods - {SEFM} 2015 Collocated Workshops: ATSE, HOFM, MoKMaSD, and VERY*SCART, York, UK, September 7-8, 2015, Revised Selected Papers
, 2015.
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P. Mukala
,
Cerone, A.
, and
Turini, F.
,
“
An exploration of learning processes as process maps in FLOSS repositories
”
. 2015.
Google Scholar
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A. Romei
,
Ruggieri, S.
, and
Turini, F.
,
“
The layered structure of company share networks
”
, in
Data Science and Advanced Analytics (DSAA), 2015. 36678 2015. IEEE International Conference on
, 2015.
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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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2014
P. Mukala
,
Cerone, A.
, and
Turini, F.
,
“
An abstract state machine (ASM) representation of learning process in FLOSS communities
”
, in
International Conference on Software Engineering and Formal Methods
, 2014.
DOI
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P. Mukala
,
Cerone, A.
, and
Turini, F.
,
“
Ontolifloss: Ontology for learning processes in FLOSS communities
”
, in
International Conference on Software Engineering and Formal Methods
, 2014.
DOI
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P. Mukala
,
Cerone, A.
, and
Turini, F.
,
“
Process mining event logs from FLOSS data: state of the art and perspectives
”
, in
International Conference on Software Engineering and Formal Methods
, 2014.
DOI
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2013
D. Pedreschi
,
Ruggieri, S.
, and
Turini, F.
,
“
The discovery of discrimination
”
, in
Discrimination and privacy in the information society
, Springer, 2013, pp. 91–108.
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A. Romei
,
Ruggieri, S.
, and
Turini, F.
,
“
Discrimination discovery in scientific project evaluation: A case study
”
,
Expert Systems with Applications
, vol. 40, pp. 6064–6079, 2013.
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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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2012
B. Furletti
and
Turini, F.
,
“
Knowledge Discovery in Ontologies
”
,
Intelligent Data Analysis
, vol. 16, 2012.
DOI
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F. Turini
and
Furletti, B.
,
“
What else can be extracted from ontologies? Influence Rules
”
, in
Software and Data Technologies
, Springer, 2012.
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