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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
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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F. Bodria
,
Rinzivillo, S.
,
Fadda, D.
,
Guidotti, R.
,
Giannotti, F.
, and
Pedreschi, D.
,
“
Explaining Black Box with visual exploration of Latent Space
”
,
EuroVis–Short Papers
, 2022.
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F. Bonchi
,
Giannotti, F.
,
Mazzanti, A.
, and
Pedreschi, D.
,
“
Exante: A Preprocessing Method for Frequent-Pattern Mining
”
,
IEEE Intelligent Systems
, vol. 20, pp. 25-31, 2005.
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M. Berlingerio
,
Coscia, M.
,
Giannotti, F.
,
Monreale, A.
, and
Pedreschi, D.
,
“
Evolving networks: Eras and turning points
”
,
Intell. Data Anal.
, vol. 17, pp. 27–48, 2013.
DOI
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R. Cazabet
,
Boudebza, S.
, and
Rossetti, G.
,
“
Evaluating community detection algorithms for progressively evolving graphs
”
,
arXiv preprint arXiv:2007.08635
, 2020.
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N. Forgó
,
Hänold, S.
,
van den Hoven, J.
,
Krügel, T.
,
Lishchuk, I.
,
Mahieu, R.
,
Monreale, A.
,
Pedreschi, D.
,
Pratesi, F.
, and
van Putten, D.
,
“
An ethico-legal framework for social data science
”
, 2020.
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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A. Rossi
,
Pedreschi, D.
,
Clifton, D. A.
, and
Morelli, D.
,
“
Error Estimation of Ultra-Short Heart Rate Variability Parameters: Effect of Missing Data Caused by Motion Artifacts
”
,
Sensors
, vol. 20, p. 7122, 2020.
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.
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P. Contucci
,
Panizzi, E.
,
Ricci-Tersenghi, F.
, and
Sirbu, A.
,
“
Egalitarianism in the rank aggregation problem: a new dimension for democracy
”
,
Quality & Quantity
, pp. 1–16, 2015.
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A. Baroni
,
Conte, A.
,
Patrignani, M.
, and
Ruggieri, S.
,
“
Efficiently Clustering Very Large Attributed Graphs
”
,
arXiv preprint arXiv:1703.08590
, 2017.
DOI
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F. Bonchi
,
Giannotti, F.
,
Mazzanti, A.
, and
Pedreschi, D.
,
“
Efficient breadth-first mining of frequent pattern with monotone constraints
”
,
Knowl. Inf. Syst.
, vol. 8, pp. 131-153, 2005.
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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.
DOI
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Conference Proceedings
D. Pennacchioli
,
Coscia, M.
,
Rinzivillo, S.
,
Pedreschi, D.
, and
Giannotti, F.
,
“
Explaining the PRoduct Range Effect in Purchase Data
”
,
IEEE Big Data
. 2013.
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Conference Paper
S. Rinzivillo
and
Turini, F.
,
“
Extracting spatial association rules from spatial transactions
”
, in
ACM GIS
, 2005, pp. 79-86.
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B. Furletti
,
Fornasari, F.
, and
Montanari, C.
,
“
AN EXTENSIBLE AND INTERACTIVE SOFTWARE AGENT FOR MOBILE DEVICES BASED ON GPS DATA
”
, in
IADIS International Conference Applied Computing
, 2008.
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L. Corciulo
,
Giannotti, F.
,
Pedreschi, D.
, and
Zaniolo, C.
,
“
Expressive Power of Non-Deterministic Operators for Logic-based Languages
”
, in
Workshop on Deductive Databases and Logic Programming
, 1994, pp. 27-40.
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M. Natilli
,
Monreale, A.
,
Guidotti, R.
, and
Pappalardo, L.
,
“
Exploring Students Eating Habits Through Individual Profiling and Clustering Analysis
”
, in
ECML PKDD 2018 Workshops
, 2018.
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R. Trasarti
,
Rinzivillo, S.
,
Pinelli, F.
,
Nanni, M.
,
Monreale, A.
,
Renso, C.
,
Pedreschi, D.
, and
Giannotti, F.
,
“
Exploring Real Mobility Data with M-Atlas
”
, in
ECML/PKDD (3)
, 2010, pp. 624-627.
DOI
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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.
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A. Fedele
,
Guidotti, R.
, and
Pedreschi, D.
,
“
Explaining Siamese Networks in Few-Shot Learning for Audio Data
”
, in
Discovery Science - 25th International Conference, DS 2022, Montpellier, France, October 10-12, 2022, Proceedings
, 2022.
DOI
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O. Lampridis
,
Guidotti, R.
, and
Ruggieri, S.
,
“
Explaining Sentiment Classification with Synthetic Exemplars and Counter-Exemplars
”
, in
Discovery Science
, Cham, 2020.
DOI
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C. Panigutti
,
Guidotti, R.
,
Monreale, A.
, and
Pedreschi, D.
,
“
Explaining multi-label black-box classifiers for health applications
”
, in
International Workshop on Health Intelligence
, 2019.
DOI
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L. Corbucci
,
Guidotti, R.
, and
Monreale, A.
,
“
Explaining Black-Boxes in Federated Learning
”
, in
Explainable Artificial Intelligence
, Cham, 2023.
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