Combining unsupervised and supervised learning in credit card fraud detection

Autor: Frédéric Oblé, Olivier Caelen, Fabrizio Carcillo, Yann-Aël Le Borgne, Yacine Kessaci, Gianluca Bontempi

Publikováno v: Information sciences

Supervised learning techniques are widely employed in credit card fraud detection, as they make use of the assumption that fraudulent patterns can be learned from an analysis of past transactions. The task becomes challenging, however, when it has to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::278fe9b00427b3a432f839b70ddaf243
https://doi.org/10.1016/j.ins.2019.05.042

Deciding feasibility of a booking in the European gas market on a cycle is in P for the case of passive networks

Autor: Johannes Thürauf, Fränk Plein, Martine Labbé, Martin Schmidt

Publikováno v: Networks
Networks, 2021, ⟨10.1002/net.22003⟩
Networks, Wiley, 2021, ⟨10.1002/net.22003⟩

We show that the feasibility of a booking in the European entry-exit gas market can be decided in polynomial time on single-cycle networks that are passive, i.e. do not contain controllable elements. The feasibility of a booking can be characterized

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0063978a1344a3ce6ffad278b313bf0b
https://doi.org/10.1002/net.22003

Automatically Designing State-of-the-Art Multi- and Many-Objective Evolutionary Algorithms

Autor: Manuel López-Ibáñez, Leonardo C. T. Bezerra, Thomas Stützle

Publikováno v: Evolutionary computation, 28 (2
Bezerra, L C T, López-Ibáñez, M & Stützle, T 2020, ' Automatically Designing State-of-the-Art Multi-and Many-Objective Evolutionary Algorithms ', Evolutionary Computation, vol. 28, no. 2, pp. 195-226 . https://doi.org/10.1162/evco_a_00263

A recent comparison of well-established multiobjective evolutionary algorithms (MOEAs) has helped better identify the current state-of-the-art by considering (i) parameter tuning through automatic configuration, (ii) a wide range of different setups,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1332316773647006256061baf8e3c223
https://doi.org/10.1162/evco_a_00263

Principal component analysis of the spectrogram of the speech signal: Interpretation and application to dysarthric speech

Autor: Francis Grenez, Juan Rafael Orozco-Arroyave, Jean Schoentgen, Abdellah Kacha

Publikováno v: Computer speech & language, 59

The article concerns the interpretation of the principal components of the spectrogram of the speech signal and its application to the description of dysarthric speech. Each principal component is a linear combination of the frame spectra. We show th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5180e3d1381601f3c156fd8d6e6095d0
https://doi.org/10.1016/j.csl.2019.07.001

Improved Torsion-Point Attacks on SIDH Variants

Autor: de Quehen, Victoria, Kutas, Péter, Leonardi, Chris, Martindale, Chloe, Panny, Lorenz, Petit, Christophe, Stange, Katherine K.E.

Publikováno v: Lecture notes in computer science, 12827 LNCS

SIDH is a post-quantum key exchange algorithm based on the presumed difficulty of finding isogenies between supersingular elliptic curves. However, SIDH and related cryptosystems also reveal additional information: the restriction of a secret isogeny

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______2101::4477803160f70c47113b7fa744d1c8ee
http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/332219