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Privacy-Preserving Machine Learning in Life Insurance Risk Prediction

AuthID
P-00Y-33A

Author(s)

Carvalho, M

Editor(s)

Koprinska,I;Mignone,P;Guidotti,R;Jaroszewicz,S;Froning,H;Gullo,F;Ferreira,PM;Roqueiro,D;Ceddia,G;Nowaczyk,S;Gama,J;Ribeiro,R;Gavalda,R;Masciari,E;Ras,Z;Ritacco,E;Naretto,F;Theissler,A;Biecek,P;Verbeke,W;Schiele,G;Pernkopf,F;Blott,M;Bordino,I;Danesi,IL;Ponti,G;Severini,L;Appice,A;Andresini,G;Medeiros,I;Graca,G;Cooper,L;Ghazaleh,N;Richiardi,J;Saldana,D;Sechidis,K;Canakoglu,A;Pido,S;Pinoli,P;Bifet,A;Pashami,S

Document Type

Proceedings Paper

Year published

2022

Published

in Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II in Communications in Computer and Information Science, ISSN: 1865-0929

Volume: 1753, Pages: 44-52

Conference

Workshops on Sogood, Nfmcp, Xkdd, Umod, Item, Midas, Mlcs, Mlbem, Pharml, Dals, Iot-Pdm 2022, Held in Conjunction with the 21St Joint European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Ecml Pkdd 2022, Date: 19 September 2022 through 23 September 2022

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