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M. Berlingerio
,
Bonchi, F.
,
Giannotti, F.
, and
Turini, F.
,
“
Time-Annotated Sequences for Medical Data Mining
”
, in
ICDM Workshops
, 2007, pp. 133-138.
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M. Berlingerio
,
Coscia, M.
,
Giannotti, F.
,
Monreale, A.
, and
Pedreschi, D.
,
“
Towards Discovery of Eras in Social Networks
”
, in
M3SN 2010 Workshop, in conjunction with ICDE2010
, 2010.
DOI
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M. Berlingerio
,
Bonchi, F.
,
Giannotti, F.
, and
Turini, F.
,
“
Mining Clinical Data with a Temporal Dimension: A Case Study
”
, in
BIBM
, 2007, pp. 429-436.
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M. Berlingerio
,
Giannotti, F.
,
Nanni, M.
, and
Pinelli, F.
,
“
Temporal analysis of process logs: a case study
”
, in
SEBD
, 2008, pp. 430-437.
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M. Berlingerio
,
Coscia, M.
,
Giannotti, F.
,
Monreale, A.
, and
Pedreschi, D.
,
“
Foundations of Multidimensional Network Analysis
”
, in
ASONAM
, 2011, pp. 485-489.
DOI
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M. Berlingerio
,
Coscia, M.
, and
Giannotti, F.
,
“
Finding and Characterizing Communities in Multidimensional Networks
”
, in
ASONAM
, 2011, pp. 490-494.
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M. Berlingerio
,
Coscia, M.
, and
Giannotti, F.
,
“
Finding redundant and complementary communities in multidimensional networks
”
, in
CIKM
, 2011, pp. 2181-2184.
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M. Berlingerio
,
Coscia, M.
, and
Giannotti, F.
,
“
Mining the Temporal Dimension of the Information Propagation
”
, in
IDA
, 2009, pp. 237-248.
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M. Berlingerio
,
Coscia, M.
,
Giannotti, F.
,
Monreale, A.
, and
Pedreschi, D.
,
“
The pursuit of hubbiness: Analysis of hubs in large multidimensional networks
”
,
J. Comput. Science
, vol. 2, pp. 223-237, 2011.
DOI
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M. Berlingerio
,
Pinelli, F.
,
Nanni, M.
, and
Giannotti, F.
,
“
Temporal mining for interactive workflow data analysis
”
, in
KDD
, 2009, pp. 109-118.
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M. Berlingerio
,
Coscia, M.
,
Giannotti, F.
,
Monreale, A.
, and
Pedreschi, D.
,
“
As Time Goes by: Discovering Eras in Evolving Social Networks
”
, in
PAKDD (1)
, 2010, pp. 81-90.
DOI
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M. Berlingerio
,
Coscia, M.
,
Giannotti, F.
,
Monreale, A.
, and
Pedreschi, D.
,
“
Discovering Eras in Evolving Social Networks (Extended Abstract)
”
, in
SEBD
, 2010, pp. 78-85.
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M. Berlingerio
,
Coscia, M.
, and
Giannotti, F.
,
“
Mining the Temporal Dimension of the Information Propagation
”
, in
IDA
, 2009, pp. 237-248.
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M. Berlingerio
,
Bicer, V.
,
Botea, A.
,
Braghin, S.
,
Lopes, N.
,
Guidotti, R.
, and
Pratesi, F.
,
“
Mobility Mining for Journey Planning in Rome
”
, in
Machine Learning and Knowledge Discovery in Databases
, 2015.
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M. Berlingerio
,
Coscia, M.
, and
Giannotti, F.
,
“
Mining the Information Propagation in a Network
”
, in
SEBD
, 2009, pp. 333-340.
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M. Berlingerio
,
Coscia, M.
,
Giannotti, F.
,
Monreale, A.
, and
Pedreschi, D.
,
“
Multidimensional networks: foundations of structural analysis
”
,
World Wide Web
, vol. Volume 15 / 2012, 2012.
DOI
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M. Berlingerio
,
Bonchi, F.
,
Chelazzi, S.
,
Curcio, M.
,
Giannotti, F.
, and
Scatena, F.
,
“
Mining HLA Patterns Explaining Liver Diseases
”
, in
CBMS
, 2006, pp. 702-707.
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C. Bertazzoni
and
Giannotti, F.
,
“
RASP: A Resource Allocator for Software Projects
”
, in
IEA/AIE (Vol. 2)
, 1990, pp. 628-637.
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B. Bertolino
,
Mancarella, P.
,
Meo, L.
,
Nini, L.
,
Pedreschi, D.
, and
Turini, F.
,
“
A Progress Report on the LML Project
”
, in
FGCS
, 1988, pp. 675-684.
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B. Bertolino
,
Meo, L.
,
Pedreschi, D.
, and
Turini, F.
,
The Type System of LML
. 1992, pp. 313-332.
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C. Bessiere
,
De Raedt, L.
,
Kotthoff, L.
,
Nijssen, S.
,
O'Sullivan, B.
, and
Pedreschi, D.
,
“
Data Mining and Constraint Programming - Foundations of a Cross-Disciplinary Approach.
”
. 2016.
DOI
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C. Bessiere
,
De Raedt, L.
,
Guns, T.
,
Kotthoff, L.
,
Nanni, M.
,
Nijssen, S.
,
O'Sullivan, B.
,
Paparrizou, A.
,
Pedreschi, D.
, and
Simonis, H.
,
“
The Inductive Constraint Programming Loop
”
,
IEEE Intelligent Systems
, 2017.
DOI
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G. Betti
,
Mulas, A.
,
Natilli, M.
,
Neri, L.
, and
Verma, V.
,
“
Comparative indicators of regional poverty and deprivation: Poland versus EU-15 Member States
”
, in
conference Comparative Economic Analysis of Households‟ Behaviour (CEAHB): Old and New EU Members, Warsaw University
, 2005.
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F. Bodria
,
Panisson, A.
,
Perotti, A.
, and
Piaggesi, S.
,
“
Explainability Methods for Natural Language Processing: Applications to Sentiment Analysis.
”
, in
SEBD
, 2020.
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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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