An Experimental Study With Imbalanced Classification Approaches for Credit Card Fraud Detection

Autor: Sara Makki, Zainab Assaghir, Yehia Taher, Rafiqul Haque, Mohand-Said Hacid, Hassan Zeineddine

Publikováno v: IEEE Access, Vol 7, Pp 93010-93022 (2019)

Credit card fraud is a criminal offense. It causes severe damage to financial institutions and individuals. Therefore, the detection and prevention of fraudulent activities are critically important to financial institutions. Fraud detection and preve

Externí odkaz: https://doaj.org/article/aa591261121b49bc828609a41c73f36d

TopoFun: a machine learning method to improve the functional similarity of gene co-expression modules

Autor: Robert Sabatier, Hassan Zeineddine, Christelle Reynes, Ali Janbain, Zainab Assaghir, Laurent Journot

Publikováno v: NAR Genomics and Bioinformatics
NAR Genomics and Bioinformatics, 2021, 3 (4), pp.lqab103. ⟨10.1093/nargab/lqab103⟩
NAR Genomics and Bioinformatics, Oxford University Press, 2021, 3 (4), pp.lqab103. ⟨10.1093/nargab/lqab103⟩

A comprehensive, accurate functional annotation of genes is key to systems-level approaches. As functionally related genes tend to be co-expressed, one possible approach to identify functional modules or supplement existing gene annotations is to ana

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cd67c621ff7661f262538d33cb00b95
https://hal.science/hal-03434156/document

A dynamically optimized aircraft boarding strategy

Autor: Hassan Zeineddine

Publikováno v: Journal of Air Transport Management. 58:144-151

Airline carriers, airports and passengers have common interests in expediting the aircraft boarding process for economical, operational, and customer satisfaction reasons respectively. Several boarding strategies have been proposed in the literature

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0a8537a353dc65ebd7e6502e424e0396
https://doi.org/10.1016/j.jairtraman.2016.10.010

Enhancing prediction of student success: Automated machine learning approach

Autor: Assaad Farah, Hassan Zeineddine, Udo C. Braendle

Publikováno v: Computers & Electrical Engineering. 89:106903

Students’ success has recently become a primary strategic objective for most institutions of higher education. With budget cuts and increasing operational costs, academic institutions are paying more attention to sustaining students’ enrollment i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d23ea57af6a99da8e374bd6e2db6d092
https://doi.org/10.1016/j.compeleceng.2020.106903

Fraud Analysis Approaches in the Age of Big Data - A Review of State of the Art

Autor: Mohand-Said Hacid, Sara Makki, Hassan Zeineddine, Gregory Ditzler, Zainab Assaghir, Yehia Taher, Rafiqul Haque

Publikováno v: 2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems (FAS*W)
2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems (FAS*W), Sep 2017, Tucson, United States. pp.243-250, ⟨10.1109/FAS-W.2017.154⟩
FAS*W@SASO/ICCAC
IEEE International Workshops on Foundations and Applications of Self* Systems (FAS*W@SASO/ICCAC)
IEEE International Workshops on Foundations and Applications of Self* Systems (FAS*W@SASO/ICCAC), Sep 2017, Tucson, United States. pp.243--250, ⟨10.1109/FAS-W.2017.154⟩

Fraud is a criminal practice for illegitimate gain of wealth or tampering information. Fraudulent activities are of critical concern because of their severe impact on organizations, communities as well as individuals. Over the last few years, various

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ade33fa17e908a74072e8291a505fd0
https://hal.archives-ouvertes.fr/hal-02353036