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G
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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R. Guidotti
,
Sassi, A.
,
Berlingerio, M.
,
Pascale, A.
, and
Ghaddar, B.
,
“
Social or green? A data-driven approach for more enjoyable carpooling
”
, in
Intelligent Transportation Systems (ITSC), 2015 IEEE 18th International Conference on
, 2015.
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R. Guidotti
and
Cintia, P.
,
“
Towards a Boosted Route Planner Using Individual Mobility Models
”
, in
Software Engineering and Formal Methods
, Springer Berlin Heidelberg, 2015, pp. 108–123.
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R. Guidotti
,
Rossetti, G.
,
Pappalardo, L.
,
Giannotti, F.
, and
Pedreschi, D.
,
“
Personalized Market Basket Prediction with Temporal Annotated Recurring Sequences
”
,
IEEE Transactions on Knowledge and Data Engineering
, 2018.
DOI
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R. Guidotti
and
Rossetti, G.
,
“
“Know Thyself” How Personal Music Tastes Shape the Last. Fm Online Social Network
”
, in
International Symposium on Formal Methods
, 2019.
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R. Guidotti
and
Ruggieri, S.
,
“
Assessing the Stability of Interpretable Models
”
,
arXiv preprint arXiv:1810.09352
, 2018.
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R. Guidotti
,
Soldani, J.
,
Neri, D.
, and
Brogi, A.
,
“
Explaining successful docker images using pattern mining analysis
”
, in
Federation of International Conferences on Software Technologies: Applications and Foundations
, 2018.
DOI
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R. Guidotti
,
Monreale, A.
,
Rinzivillo, S.
,
Pedreschi, D.
, and
Giannotti, F.
,
“
Retrieving Points of Interest from Human Systematic Movements
”
, in
Software Engineering and Formal Methods
, Springer International Publishing, 2014, pp. 294–308.
DOI
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R. Guidotti
,
“
Mobility Ranking - Human Mobility Analysis Using Ranking Measures
”
, 2013.
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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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R. Guidotti
,
Rossetti, G.
,
Pappalardo, L.
,
Giannotti, F.
, and
Pedreschi, D.
,
“
Market Basket Prediction using User-Centric Temporal Annotated Recurring Sequences
”
, in
2017 IEEE International Conference on Data Mining (ICDM)
, 2017.
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R. Guidotti
,
Soldani, J.
,
Neri, D.
,
Brogi, A.
, and
Pedreschi, D.
,
“
Helping your docker images to spread based on explainable models
”
, in
Joint European Conference on Machine Learning and Knowledge Discovery in Databases
, 2018.
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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R. Guidotti
,
Monreale, A.
,
Rinzivillo, S.
,
Pedreschi, D.
, and
Giannotti, F.
,
“
Unveiling mobility complexity through complex network analysis
”
,
Social Network Analysis and Mining
, vol. 6, p. 59, 2016.
DOI
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R. Guidotti
,
Trasarti, R.
,
Nanni, M.
,
Giannotti, F.
, and
Pedreschi, D.
,
“
There's A Path For Everyone: A Data-Driven Personal Model Reproducing Mobility Agendas
”
, in
4th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2017)
, Tokyo, 2017.
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R. Guidotti
and
Rossetti, G.
,
“
“Know Thyself” How Personal Music Tastes Shape the Last.Fm Online Social Network
”
, in
Formal Methods. FM 2019 International Workshops
, Cham, 2020.
DOI
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R. Guidotti
and
Gabrielli, L.
,
“
Recognizing Residents and Tourists with Retail Data Using Shopping Profiles
”
, in
International Conference on Smart Objects and Technologies for Social Good
, 2017.
DOI
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B. Guidi
,
Michienzi, A.
, and
Rossetti, G.
,
“
Towards the dynamic community discovery in decentralized online social networks
”
,
Journal of Grid Computing
, vol. 17, pp. 23–44, 2019.
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B. Guidi
,
Michienzi, A.
, and
Rossetti, G.
,
“
Dynamic community analysis in decentralized online social networks
”
, in
European Conference on Parallel Processing
, 2017.
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V. Grossi
,
Guns, T.
,
Monreale, A.
,
Nanni, M.
, and
Nijssen, S.
,
“
Partition-Based Clustering Using Constraint Optimization
”
, in
Data Mining and Constraint Programming - Foundations of a Cross-Disciplinary Approach
, Springer International Publishing, 2016, pp. 282–299.
DOI
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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.
DOI
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V. Grossi
,
Romei, A.
, and
Ruggieri, S.
,
“
A Case Study in Sequential Pattern Mining for IT-Operational Risk
”
, in
ECML/PKDD (1)
, 2008, pp. 424-439.
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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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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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P. Gravino
,
Sirbu, A.
,
Becker, M.
,
Servedio, V. D. P.
, and
Loreto, V.
,
“
Experimental Assessment of the Emergence of Awareness and Its Influence on Behavioral Changes: The Everyaware Lesson
”
, in
Participatory Sensing, Opinions and Collective Awareness
, Springer, 2017, pp. 337–362.
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