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D. Marbach
,
Costello, J. C.
,
Küffner, R.
,
Vega, N. M.
,
Prill, R. J.
,
Camacho, D. M.
,
Allison, K. R.
,
Kellis, M.
,
Collins, J. J.
,
Aderhold, A.
,
Stolovitzky, G.
,
Bonneau, R.
,
Chen, Y.
,
Cordero, F.
,
Crane, M.
,
Dondelinger, F.
,
Drton, M.
,
Esposito, R.
,
Foygel, R.
,
De La Fuente, A.
,
Gertheiss, J.
,
Geurts, P.
,
Greenfield, A.
,
Grzegorczyk, M.
,
Haury, A. - C.
,
Holmes, B.
,
Hothorn, T.
,
Husmeier, D.
,
Huynh-Thu, V. A.
,
Irrthum, A.
,
Karlebach, G.
,
Lebre, S.
,
De Leo, V.
,
Madar, A.
,
Mani, S.
,
Mordelet, F.
,
Ostrer, H.
,
Ouyang, Z.
,
Pandya, R.
,
Petri, T.
,
Pinna, A.
,
Poultney, C. S.
,
Rezny, S.
,
Ruskin, H. J.
,
Saeys, Y.
,
Shamir, R.
,
Sirbu, A.
,
Song, M.
,
Soranzo, N.
,
Statnikov, A.
,
Vega, N. M.
,
Vera-Licona, P.
,
Vert, J. - P.
,
Visconti, A.
,
Wang, H.
,
Wehenkel, L.
,
Windhager, L.
,
Zhang, Y.
, and
Zimmer, R.
,
“
Wisdom of crowds for robust gene network inference
”
,
Nature Methods
, vol. 9, pp. 796-804, 2012.
DOI
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D. Marbach
,
Costello, J. C.
,
Küffner, R.
,
Vega, N. M.
,
Prill, R. J.
,
Camacho, D. M.
,
Allison, K. R.
,
Kellis, M.
,
Collins, J. J.
,
Aderhold, A.
,
Stolovitzky, G.
,
Bonneau, R.
,
Chen, Y.
,
Cordero, F.
,
Crane, M.
,
Dondelinger, F.
,
Drton, M.
,
Esposito, R.
,
Foygel, R.
,
De La Fuente, A.
,
Gertheiss, J.
,
Geurts, P.
,
Greenfield, A.
,
Grzegorczyk, M.
,
Haury, A. - C.
,
Holmes, B.
,
Hothorn, T.
,
Husmeier, D.
,
Huynh-Thu, V. A.
,
Irrthum, A.
,
Karlebach, G.
,
Lebre, S.
,
De Leo, V.
,
Madar, A.
,
Mani, S.
,
Mordelet, F.
,
Ostrer, H.
,
Ouyang, Z.
,
Pandya, R.
,
Petri, T.
,
Pinna, A.
,
Poultney, C. S.
,
Rezny, S.
,
Ruskin, H. J.
,
Saeys, Y.
,
Shamir, R.
,
Sirbu, A.
,
Song, M.
,
Soranzo, N.
,
Statnikov, A.
,
Vega, N. M.
,
Vera-Licona, P.
,
Vert, J. - P.
,
Visconti, A.
,
Wang, H.
,
Wehenkel, L.
,
Windhager, L.
,
Zhang, Y.
, and
Zimmer, R.
,
“
Wisdom of crowds for robust gene network inference
”
,
Nature Methods
, vol. 9, pp. 796-804, 2012.
DOI
Google Scholar
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RTF
Tagged
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RIS
D. Marbach
,
Costello, J. C.
,
Küffner, R.
,
Vega, N. M.
,
Prill, R. J.
,
Camacho, D. M.
,
Allison, K. R.
,
Kellis, M.
,
Collins, J. J.
,
Aderhold, A.
,
Stolovitzky, G.
,
Bonneau, R.
,
Chen, Y.
,
Cordero, F.
,
Crane, M.
,
Dondelinger, F.
,
Drton, M.
,
Esposito, R.
,
Foygel, R.
,
De La Fuente, A.
,
Gertheiss, J.
,
Geurts, P.
,
Greenfield, A.
,
Grzegorczyk, M.
,
Haury, A. - C.
,
Holmes, B.
,
Hothorn, T.
,
Husmeier, D.
,
Huynh-Thu, V. A.
,
Irrthum, A.
,
Karlebach, G.
,
Lebre, S.
,
De Leo, V.
,
Madar, A.
,
Mani, S.
,
Mordelet, F.
,
Ostrer, H.
,
Ouyang, Z.
,
Pandya, R.
,
Petri, T.
,
Pinna, A.
,
Poultney, C. S.
,
Rezny, S.
,
Ruskin, H. J.
,
Saeys, Y.
,
Shamir, R.
,
Sirbu, A.
,
Song, M.
,
Soranzo, N.
,
Statnikov, A.
,
Vega, N. M.
,
Vera-Licona, P.
,
Vert, J. - P.
,
Visconti, A.
,
Wang, H.
,
Wehenkel, L.
,
Windhager, L.
,
Zhang, Y.
, and
Zimmer, R.
,
“
Wisdom of crowds for robust gene network inference
”
,
Nature Methods
, vol. 9, pp. 796-804, 2012.
DOI
Google Scholar
BibTeX
RTF
Tagged
MARC
EndNote XML
RIS
D. Marbach
,
Costello, J. C.
,
Küffner, R.
,
Vega, N. M.
,
Prill, R. J.
,
Camacho, D. M.
,
Allison, K. R.
,
Kellis, M.
,
Collins, J. J.
, and
Stolovitzky, G.
,
“
Wisdom of crowds for robust gene network inference.
”
,
Nat Methods
, vol. 9, pp. 796-804, 2012.
PubMed
DOI
Google Scholar
BibTeX
RTF
Tagged
MARC
EndNote XML
RIS
D. Marbach
,
Costello, J. C.
,
Küffner, R.
,
Vega, N. M.
,
Prill, R. J.
,
Camacho, D. M.
,
Allison, K. R.
,
Kellis, M.
,
Collins, J. J.
, and
Stolovitzky, G.
,
“
Wisdom of crowds for robust gene network inference.
”
,
Nat Methods
, vol. 9, pp. 796-804, 2012.
PubMed
DOI
Google Scholar
BibTeX
RTF
Tagged
MARC
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RIS
S
M. Nanni
,
Kuijpers, B.
,
Körner, C.
,
May, M.
, and
Pedreschi, D.
,
“
Spatiotemporal Data Mining
”
, in
Mobility, Data Mining and Privacy
, 2008, pp. 267-296.
Google Scholar
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M. Nanni
,
Kuijpers, B.
,
Körner, C.
,
May, M.
, and
Pedreschi, D.
,
“
Spatiotemporal Data Mining
”
, in
Mobility, Data Mining and Privacy
, 2008, pp. 267-296.
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S. Kisilevich
,
Mansmann, F.
,
Nanni, M.
, and
Rinzivillo, S.
,
“
Spatio-temporal clustering
”
, in
Data Mining and Knowledge Discovery Handbook
, 2010, pp. 855-874.
Google Scholar
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R
A. Sirbu
,
Kerr, G.
,
Crane, M.
, and
Ruskin, H. J.
,
“
RNA-Seq vs dual- and single-channel microarray data: sensitivity analysis for differential expression and clustering.
”
,
PLoS One
, vol. 7, p. e50986, 2012.
PubMed
DOI
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A. Basu
,
Monreale, A.
,
Trasarti, R.
,
Corena, J. C.
,
Giannotti, F.
,
Pedreschi, D.
,
Kiyomoto, S.
,
Miyake, Y.
, and
Yanagihara, T.
,
“
A risk model for privacy in trajectory data
”
,
Journal of Trust Management
, vol. 2, p. 9, 2015.
DOI
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Q
G. Manco
,
Baglioni, M.
,
Giannotti, F.
,
Kuijpers, B.
,
Raffaetà, A.
, and
Renso, C.
,
“
Querying and Reasoning for Spatiotemporal Data Mining
”
, in
Mobility, Data Mining and Privacy
, 2008, pp. 335-374.
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G. Manco
,
Baglioni, M.
,
Giannotti, F.
,
Kuijpers, B.
,
Raffaetà, A.
, and
Renso, C.
,
“
Querying and Reasoning for Spatio-Temporal Data Mining
”
, Mobility, Privacy, and Geography: a Knowledge Discovery vision, 2008.
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P
A. Sirbu
,
Giannotti, F.
,
Pedreschi, D.
, and
Kertész, J.
,
“
Public opinion and Algorithmic bias
”
,
ERCIM News
, 2019.
Google Scholar
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A. Marrella
,
Monreale, A.
,
Kloepper, B.
, and
Krueger, M. W.
,
“
Privacy-Preserving Outsourcing of Pattern Mining of Event-Log Data-A Use-Case from Process Industry
”
, in
Cloud Computing Technology and Science (CloudCom), 2016 IEEE International Conference on
, 2016.
DOI
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A. Marrella
,
Monreale, A.
,
Kloepper, B.
, and
Krueger, M. W.
,
“
Privacy-Preserving Outsourcing of Pattern Mining of Event-Log Data-A Use-Case from Process Industry
”
, in
Cloud Computing Technology and Science (CloudCom), 2016 IEEE International Conference on
, 2016.
DOI
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A. Basu
,
Monreale, A.
,
Corena, J. C.
,
Giannotti, F.
,
Pedreschi, D.
,
Kiyomoto, S.
,
Miyake, Y.
,
Yanagihara, T.
, and
Trasarti, R.
,
“
A Privacy Risk Model for Trajectory Data
”
, in
Trust Management {VIII} - 8th {IFIP} {WG} 11.11 International Conference, {IFIPTM} 2014, Singapore, July 7-10, 2014. Proceedings
, 2014, pp. 125–140.
DOI
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F. Naretto
,
Pellungrini, R.
,
Nardini, F. Maria
, and
Giannotti, F.
,
“
Prediction and Explanation of Privacy Risk on Mobility Data with Neural Networks
”
, in
ECML PKDD 2020 Workshops
, Cham, 2020.
DOI
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F. Naretto
,
Pellungrini, R.
,
Nardini, F. Maria
, and
Giannotti, F.
,
“
Prediction and Explanation of Privacy Risk on Mobility Data with Neural Networks
”
, in
ECML PKDD 2020 Workshops
, Cham, 2020.
DOI
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F. Naretto
,
Pellungrini, R.
,
Nardini, F. Maria
, and
Giannotti, F.
,
“
Prediction and Explanation of Privacy Risk on Mobility Data with Neural Networks
”
, in
ECML PKDD 2020 Workshops
, Cham, 2020.
DOI
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F. Naretto
,
Pellungrini, R.
,
Nardini, F. Maria
, and
Giannotti, F.
,
“
Prediction and Explanation of Privacy Risk on Mobility Data with Neural Networks
”
, in
ECML PKDD 2020 Workshops
, Cham, 2020.
DOI
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K
S. Rinzivillo
,
Turini, F.
,
Bogorny, V.
,
Körner, C.
,
Kuijpers, B.
, and
May, M.
,
“
Knowledge Discovery from Geographical Data
”
, in
Mobility, Data Mining and Privacy
, 2008, pp. 243-265.
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S. Rinzivillo
,
Turini, F.
,
Bogorny, V.
,
Körner, C.
,
Kuijpers, B.
, and
May, M.
,
“
Knowledge Discovery from Geographical Data
”
, in
Mobility, Data Mining and Privacy
, 2008, pp. 243-265.
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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.
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I
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.
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M. Nanni
,
Kotthoff, L.
,
Guidotti, R.
,
O'Sullivan, B.
, and
Pedreschi, D.
,
“
ICON Loop Carpooling Show Case
”
,
Data Mining and Constraint Programming: Foundations of a Cross-Disciplinary Approach
, vol. 10101, p. 310, 2017.
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