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Franco Turini
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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.
,
Pedreschi, D.
,
Turini, F.
, and
Giannotti, F.
,
“
Local Rule-Based Explanations of Black Box Decision Systems
”
, 2018.
Google Scholar
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Miscellaneous
P. Mukala
,
Cerone, A.
, and
Turini, F.
,
“
An exploration of learning processes as process maps in FLOSS repositories
”
. 2015.
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Journal Article
D. Aquilino
,
Asirelli, P.
,
Formuso, A.
,
Renso, C.
, and
Turini, F.
,
“
Using Medlan to Integrate Geographical Data
”
,
Journal of Logic Programming
, pp. 3–14, 2000.
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D. Aquilino
,
Asirelli, P.
,
Formuso, A.
,
Renso, C.
, and
Turini, F.
,
“
Using MedLan to Integrate Geographical Data
”
,
J. Log. Program.
, vol. 43, pp. 3-14, 2000.
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R. Barbuti
,
Mancarella, P.
,
Pedreschi, D.
, and
Turini, F.
,
“
A Transformational Approach to Negation in Logic Programming
”
,
J. Log. Program.
, vol. 8, pp. 201-228, 1990.
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V. Ambriola
,
Giannotti, F.
,
Pedreschi, D.
, and
Turini, F.
,
“
Symbolic Semantics and Program Reduction
”
,
IEEE Trans. Software Eng.
, vol. 11, pp. 784-794, 1985.
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F. Giannotti
,
Matteucci, A.
,
Pedreschi, D.
, and
Turini, F.
,
“
Symbolic Evaluation with Structural Recursive Symbolic Constants
”
,
Sci. Comput. Program.
, vol. 9, pp. 161-177, 1987.
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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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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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F. Giannotti
,
Manco, G.
, and
Turini, F.
,
“
Specifying Mining Algorithms with Iterative User-Defined Aggregates
”
,
IEEE Trans. Knowl. Data Eng.
, vol. 16, pp. 1232-1246, 2004.
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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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D. Aquilino
,
Asirelli, P.
,
Renso, C.
, and
Turini, F.
,
“
An Operator for Composing Deductive Databases with Theories of Constraints
”
, pp. 57–70, 1995.
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M. Nanni
,
Raffaetà, A.
,
Renso, C.
, and
Turini, F.
,
“
\newblock{A Declarative Framework for Reasoning on Spatio-temporal Data}
”
, 2004.
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A. Brogi
,
Mancarella, P.
,
Pedreschi, D.
, and
Turini, F.
,
“
Modular Logic Programming
”
,
ACM Trans. Program. Lang. Syst.
, vol. 16, pp. 1361-1398, 1994.
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B. Furletti
and
Turini, F.
,
“
Knowledge Discovery in Ontologies
”
,
Intelligent Data Analysis
, vol. 16, 2012.
DOI
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S. Rinzivillo
and
Turini, F.
,
“
Knowledge discovery from spatial transactions
”
,
Journal of Intelligent Information Systems
, vol. 28, pp. 1-22, 2007.
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P. Mancarella
,
Raffaetà, A.
,
Renso, C.
, and
Turini, F.
,
“
Integrating Knowledge Representation and Reasoning in Geographical
”
, 2004.
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P. Mancarella
,
Raffaetà, A.
,
Renso, C.
, and
Turini, F.
,
“
Integrating knowledge representation and reasoning in Geographical Information Systems
”
,
International Journal of Geographical Information Science
, vol. 18, pp. 417-447, 2004.
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B. Furletti
,
Turini, F.
,
Bellandi, A.
,
Baglioni, M.
, and
Pratesi, C.
,
“
Improving the Business Plan Evaluation Process: the Role of Intangibles
”
,
Quality Technology & Quantitative Management
, vol. 7, 2010.
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A. Brogi
,
Chiarelli, A.
,
Mancarella, P.
,
Mazzotta, V.
,
Pedreschi, D.
,
Renso, C.
, and
Turini, F.
,
“
Implementations of Program Composition Operations
”
, pp. 292–307, 1994.
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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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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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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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A. Brogi
,
Renso, C.
, and
Turini, F.
,
“
Dynamic Composition of Parameterised Logic Modules
”
,
Computer Languages
, pp. 211–242, 1999.
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