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A
A. Failla
,
Citraro, S.
, and
Rossetti, G.
,
“
Attributed stream-hypernetwork analysis: homophilic behaviors in pairwise and group political discussions on reddit
”
, in
International Conference on Complex Networks and Their Applications
, 2022.
DOI
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A. Pugnana
and
Ruggieri, S.
,
“
AUC-based Selective Classification
”
, in
International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, Palau de Congressos, Valencia, Spain
, 2023.
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R.Liu
,
Wang, H. Wendy
,
Monreale, A.
,
Pedreschi, D.
,
Giannotti, F.
, and
Guo, W.
,
“
AUDIO: An Integrity Auditing Framework of Outlier-Mining-as-a-Service Systems.
”
, in
Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2012
, 2012.
DOI
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R. Guidotti
,
Rossetti, G.
, and
Pedreschi, D.
,
“
Audio Ergo Sum
”
, in
Federation of International Conferences on Software Technologies: Applications and Foundations
, 2016.
DOI
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I. Barbosa
,
Casanova, M. A.
,
Renso, C.
, and
de Macêdo, J. A. F.
,
“
Average Speed Estimation For Road Networks Based On GPS Raw Trajectories
”
, in
ICEIS Conference
, 2013.
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M. Becker
,
Caminiti, S.
,
Fiorella, D.
,
Francis, L.
,
Gravino, P.
,
Haklay, M. Muki
,
Hotho, A.
,
Loreto, V.
,
Mueller, J.
,
Ricchiuti, F.
,
Servedio, V. D. P.
,
Sirbu, A.
, and
Tria, F.
,
“
Awareness and learning in participatory noise sensing.
”
,
PLoS One
, vol. 8, p. e81638, 2013.
PubMed
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B
R. Fileto
,
Krger, M.
,
Pelekis, N.
,
Theodoridis, Y.
, and
Renso, C.
,
“
Baquara: A Holistic Ontological Framework for Movement Analysis with Linked Data
”
, in
Entity Relationship Conference - ER 2013
, Hong Kong, 2013.
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F. Bodria
,
Giannotti, F.
,
Guidotti, R.
,
Naretto, F.
,
Pedreschi, D.
, and
Rinzivillo, S.
,
“
Benchmarking and Survey of Explanation Methods for Black Box Models
”
,
CoRR
, vol. abs/2102.13076, 2021.
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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.
DOI
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S. Bergamaschi
,
Carlini, E.
,
Ceci, M.
,
Furletti, B.
,
Giannotti, F.
,
Malerba, D.
,
Mezzanzanica, M.
,
Monreale, A.
,
Pasi, G.
,
Pedreschi, D.
,
Perego, R.
, and
Ruggieri, S.
,
“
Big Data Research in Italy: A Perspective
”
,
Engineering
, vol. 2, p. 163, 2016.
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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D. Pedreschi
and
Ruggieri, S.
,
“
Bounded Nondeterminism of Logic Programs
”
, in
ICLP
, 1999, pp. 350-364.
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D. Pedreschi
and
Ruggieri, S.
,
“
Bounded Nondeterminism of Logic Programs
”
,
Ann. Math. Artif. Intell.
, vol. 42, pp. 313-343, 2004.
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M. Baglioni
,
Masserotti, M. V.
,
Renso, C.
, and
Spinsanti, L.
,
“
Building Geospatial Ontologies from Geographical Databases
”
, in
GeoS
, 2007, pp. 195-209.
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C
G. Rossetti
,
Morini, V.
, and
Pollacci, L.
,
“
Capturing Political Polarization of Reddit Submissions in the Trump Era
”
, in
SEBD
, 2020.
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D. Pedreschi
and
Ruggieri, S.
,
“
A Case Study in Logic Program Verification: the Vanilla Metainterpreter
”
, in
GULP-PRODE
, 1995, pp. 643-654.
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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
,
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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B. Qureshi
,
Kamiran, F.
,
Karim, A.
, and
Ruggieri, S.
,
“
Causal Discrimination Discovery Through Propensity Score Analysis
”
,
arXiv preprint arXiv:1608.03735
, 2016.
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B. Qureshi
,
Kamiran, F.
,
Karim, A.
,
Ruggieri, S.
, and
Pedreschi, D.
,
“
Causal inference for social discrimination reasoning
”
,
Journal of Intelligent Information Systems
, pp. 1–13, 2019.
DOI
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B. Qureshi
,
Kamiran, F.
,
Karim, A.
,
Ruggieri, S.
, and
Pedreschi, D.
,
“
Causal inference for social discrimination reasoning
”
, vol. 54, pp. 425 - 437, 2020.
DOI
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G. Rossetti
,
Milli, L.
, and
Cazabet, R.
,
“
CDLIB: a python library to extract, compare and evaluate communities from complex networks
”
,
Applied Network Science
, vol. 4, p. 52, 2019.
DOI
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R. Cazabet
and
Rossetti, G.
,
“
Challenges in community discovery on temporal networks
”
, in
Temporal Network Theory
, Springer, 2019, pp. 181–197.
DOI
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D. Pedreschi
,
Ruggieri, S.
, and
Smaus, J. - G.
,
“
Characterisations of Termination in Logic Programming
”
, in
Program Development in Computational Logic
, 2004, pp. 376-431.
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M. Wachowicz
,
Ligtenberg, A.
,
Renso, C.
, and
Gürses, S. F.
,
“
Characterising the Next Generation of Mobile Applications Through a Privacy-Aware Geographic Knowledge Discovery Process
”
, in
Mobility, Data Mining and Privacy
, Mobility, Privacy, and Geography: a Knowledge Discovery vision, 2008, pp. 39-72.
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