Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Yann-Aël Le Borgne"'
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
Autor:
Gian Marco Paldino, Bertrand Lebichot, Yann-Aël Le Borgne, Wissam Siblini, Frédéric Oblé, Giacomo Boracchi, Gianluca Bontempi
Publikováno v:
Advances in data analysis and classification.
The number of daily credit card transactions is inexorably growing: the e-commerce market expansion and the recent constraints for the Covid-19 pandemic have significantly increased the use of electronic payments. The ability to precisely detect frau
Autor:
Theo Verhelst, Frédéric Oblé, Liyun He-Guelton, Yann-Aël Le Borgne, Bertrand Lebichot, Gianluca Bontempi
Publikováno v:
IEEE Access, Vol 9, Pp 114754-114766 (2021)
IEEE access, 9
IEEE access, 9
Credit card fraud jeopardizes the trust of customers in e-commerce transactions. This led in recent years to major advances in the design of automatic Fraud Detection Systems (FDS) able to detect fraudulent transactions with short reaction time and h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80b5942cf7e8cbd8a29e7979e5131260
http://orbilu.uni.lu/handle/10993/50243
http://orbilu.uni.lu/handle/10993/50243
Publikováno v:
DSAA
Short-term traffic prediction in transportation net-work is a hot topic for next generation smart cities. Despite several research efforts, there is still a lack of consensus about the most effective way to predict traffic network-wide. Also, the maj
Autor:
Cindy Badoer, Alain Verloes, Valérie Jacquemin, Camille Perazzolo, Marc Abramowicz, Judith Racapé, Isabelle Pirson, Marianne Rooman, Tom Lenaerts, Julie Soblet, Séverine Drunat, Sabine Costagliola, Frédérick Libert, Anne Lefort, Sarah Duerinckx, Sandrine Passemard, Laurence Desmyter, Viviane De Maertelaer, Yoann Vial, Annick Massart, Sofia Papadimitriou, Yann-Aël Le Borgne
Publikováno v:
Human mutation, vol. 41, no. 2, pp. 512-524
Human Mutation
Human Mutation
Primary microcephaly (PM) is characterized by a small head since birth and is vastly heterogeneous both genetically and phenotypically. While most cases are monogenic, genetic interactions between Aspm and Wdr62 have recently been described in a mous
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3bd2f99e495b801ed62fbc262d8c6823
https://serval.unil.ch/resource/serval:BIB_D620C1C3B2CE.P001/REF.pdf
https://serval.unil.ch/resource/serval:BIB_D620C1C3B2CE.P001/REF.pdf
Publikováno v:
International Journal of Data Science and Analytics. 7:311-329
Most multivariate forecasting methods in the literature are restricted to vector time series of low dimension, linear methods and short horizons. Big data revolution is instead shifting the focus to problems (e.g., issued from the IoT technology) cha
Publikováno v:
Proceedings of the International Neural Networks Society ISBN: 9783030168407
INNSBDDL
INNSBDDL
Although the incidence of credit card fraud is limited to a small percentage of transactions, the related financial losses may be huge. This demands the design of automatic Fraud Detection Systems (FDS) able to detect fraudulent transactions with hig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d8156ad53be4d2ee4c5bdc1a79a0d68
https://doi.org/10.1007/978-3-030-16841-4_8
https://doi.org/10.1007/978-3-030-16841-4_8
Publikováno v:
ECML PKDD 2018 Workshops ISBN: 9783030134624
Multivariate time series forecasting involves the learning of historical multivariate information in order to predict the future values of several quantities of interests, accounting for interdependencies among them. In finance, several of this quant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df61c88ea1f5f75a5e033aed59b541bf
https://doi.org/10.1007/978-3-030-13463-1_1
https://doi.org/10.1007/978-3-030-13463-1_1
Publikováno v:
Cloudtech
This paper proposes and assesses a Big Data Platform for effective storage and analysis of On Board Unit (OBU) data related to the mobility of trucks in Belgium. The large volume and the streaming nature of the OBU data requires the setup of a big da
Publikováno v:
Communications in Computer and Information Science ISBN: 9783319768915
BNCAI
BNCAI
This paper describes a distributed MapReduce implementation of the minimum Redundancy Maximum Relevance algorithm, a popular feature selection method in bioinformatics and network inference problems. The proposed approach handles both tall/narrow and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45567f3bc63500965fd447be78189742
https://doi.org/10.1007/978-3-319-76892-2_8
https://doi.org/10.1007/978-3-319-76892-2_8