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Akademický článek

Emotional State Prediction From Online Handwriting and Signature Biometrics

Autor: Yasemin Bay Ayzeren, Meryem Erbilek, Erbug Celebi

Publikováno v: IEEE Access, Vol 7, Pp 164759-164774 (2019)

Handwriting and signature biometrics have a long history in the literature, especially in terms of identity recognition and/or verification; nevertheless, it reveals more information therefore provides more opportunities for personal characteristics

Externí odkaz: https://doaj.org/article/24a3ff7a1dff4d89b6a1dc777db52f8d

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A new graphical format to communicate treatment effects to patients-A web-based randomized controlled trial

Autor: Christoph Heesen, Jürgen Kasper, Imke Backhus, Yasemin Bay, Sascha Köpke, Adrian van de Roemer, Jana Pöttgen, Anne Christin Rahn

Publikováno v: Health Expectations : An International Journal of Public Participation in Health Care and Health Policy

Source at https://doi.org/10.1111/hex.12522. Accepted manuscript version, licensed CC BY-NC-ND 4.0. Objective: Patients making treatment decisions require understandable evidence‐based information. However, evidence on graphical presentation of ben

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8eff2039edc59da53ec5f8b1427d3c8f
https://doi.org/10.1111/hex.12522

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The impact of visual and blind signing on signature biometrics

Autor: Yasemin Bay, Meryem Erbilek, Ama Fosuah Gyasi Cyprus, Erbug Celebi

Publikováno v: 2017 9th International Conference on Computational Intelligence and Communication Networks (CICN).

The ubiquitous nature of our digital lifestyle raised many security issues including signature imitation and stealing of our identity. Therefore, there is a need for robust systems to verify or identify the signatory. In this paper, in contradistinct

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f14b91e60a4154b57ab40291bfc9b54f
https://doi.org/10.1109/cicn.2017.8319377

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Akademický článek

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Feature Selection for Enhanced Author Identification of Turkish Text

Autor: Yasemin Bay, Erbuĝ Çelebi

Publikováno v: Lecture Notes in Electrical Engineering ISBN: 9783319226347
ISCIS

The rapid growth of the Internet and the increasing availability of electronic documents poses some problems, such as identification of an anonymous text and plagiarism. This study aims to determine the author of a given document among the set of tex

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a903e169d4d8a92800eb621508586212
https://doi.org/10.1007/978-3-319-22635-4_34