Instance-level explanations for fraud detection (poster)

Autor: Collaris, D.A.C., Vink, Leo M., van Wijk, J.J.

Publikováno v: ISSUE=5;TITLE=5th Data Science Summit (DSSE 2018)

Fraud detection is a difficult problem that can benefit from predictive modeling. However, the verification of a prediction is challenging; for a single insurance policy, the model only provides a prediction score. We present a case study where we re

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::3cf0daa509899eee296673843cbfd1af
https://research.tue.nl/nl/publications/bac8fecb-17d2-4848-97f3-10ac80fb3dbc

Eventpad : a visual analytics approach to network intrusion detection and reverse engineering

Autor: Cappers, B.C.M., van Wijk, J.J., Etalle, S.

Publikováno v: European Cyper Security Perspectives 2018, 62-65
STARTPAGE=62;ENDPAGE=65;TITLE=European Cyper Security Perspectives 2018

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::9f4a5adc062239fb9a663db64bffbe90
https://research.tue.nl/nl/publications/1b328338-e6c8-4973-97d1-c08fa76a2b05

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PathONE : from one thousand patients to one cell

Autor: Corvo, A., Westenberg, M.A., van Wijk, J.J.

Publikováno v: 2017 ICT Open, Maart 21-22, 2017, Amersfoort, The Netherlands

Digital Pathology is an image-based information environment, where tissue glasses are digitized by highspeedscanners. Whole-slide-images (WSIs) are generated and pathologists are empowered to analyzed and diagnose them directly on a computer monitor.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::f0cb45a0642390f248892d946e74033e
https://research.tue.nl/nl/publications/eb31b33b-c174-4da1-bb03-0cc0bea5890f

Understanding the context of network traffic alerts

Autor: Cappers, B.C.M., van Wijk, J.J., Best, D.M., Staheli, D., Prigent, N., Engle, S., Harrison, L.

Publikováno v: VizSEC
2016 IEEE Symposium on Visualization for Cyber Security (VizSec), 24 October 2016, Baltimore, Maryland, 1-8
STARTPAGE=1;ENDPAGE=8;TITLE=2016 IEEE Symposium on Visualization for Cyber Security (VizSec), 24 October 2016, Baltimore, Maryland

For the protection of critical infrastructures against complex virus attacks, automated network traffic analysis and deep packet inspection are unavoidable. However, even with the use of network intrusion detection systems, the number of alerts is st

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83986c0ba7d31b85369214c06a70a27c
https://doi.org/10.1109/VIZSEC.2016.7739579