<?xml version="1.0"?>
<dblpperson name="Aygul Garifullina" pid="263/1237" n="7">
<person key="homepages/263/1237" mdate="2020-04-20">
<author pid="263/1237">Aygul Garifullina</author>
</person>
<r><article key="journals/ci/KiaGKCJ24" mdate="2025-05-01">
<author orcid="0000-0003-1842-9270" pid="288/7604">Mahsa Abazari Kia</author>
<author pid="263/1237">Aygul Garifullina</author>
<author pid="16/5339">Mathias Kern</author>
<author pid="76/7444">Jon Chamberlain</author>
<author pid="94/10440">Shoaib Jameel</author>
<title>Question-driven text summarization using an extractive-abstractive framework.</title>
<year>2024</year>
<month>June</month>
<volume>40</volume>
<journal>Comput. Intell.</journal>
<number>3</number>
<ee>https://doi.org/10.1111/coin.12689</ee>
<url>db/journals/ci/ci40.html#KiaGKCJ24</url>
<stream>streams/journals/ci</stream>
</article>
</r>
<r><inproceedings key="conf/cdmake/DieraLGS23" mdate="2023-09-14">
<author orcid="0009-0001-3959-493X" pid="318/1178">Andor Diera</author>
<author orcid="0000-0002-6079-6480" pid="289/1307">Nicolas Lell</author>
<author orcid="0009-0005-0160-5479" pid="263/1237">Aygul Garifullina</author>
<author orcid="0000-0002-2653-9245" pid="06/2380">Ansgar Scherp</author>
<title>Memorization of Named Entities in Fine-Tuned BERT Models.</title>
<pages>258-279</pages>
<year>2023</year>
<booktitle>CD-MAKE</booktitle>
<ee>https://doi.org/10.1007/978-3-031-40837-3_16</ee>
<crossref>conf/cdmake/2023</crossref>
<url>db/conf/cdmake/cdmake2023.html#DieraLGS23</url>
</inproceedings>
</r>
<r><article key="journals/access/KiaGKCJ22" mdate="2025-01-19">
<author orcid="0000-0003-1842-9270" pid="288/7604">Mahsa Abazari Kia</author>
<author orcid="0009-0005-0160-5479" pid="263/1237">Aygul Garifullina</author>
<author orcid="0000-0003-3734-6542" pid="16/5339">Mathias Kern</author>
<author pid="76/7444">Jon Chamberlain</author>
<author pid="94/10440">Shoaib Jameel</author>
<title>Adaptable Closed-Domain Question Answering Using Contextualized CNN-Attention Models and Question Expansion.</title>
<pages>45080-45092</pages>
<year>2022</year>
<volume>10</volume>
<journal>IEEE Access</journal>
<ee type="oa">https://doi.org/10.1109/ACCESS.2022.3170466</ee>
<ee>https://www.wikidata.org/entity/Q126239755</ee>
<url>db/journals/access/access10.html#KiaGKCJ22</url>
</article>
</r>
<r><article publtype="informal" key="journals/corr/abs-2212-03749" mdate="2023-08-06">
<author pid="318/1178">Andor Diera</author>
<author orcid="0000-0002-6079-6480" pid="289/1307">Nicolas Lell</author>
<author pid="263/1237">Aygul Garifullina</author>
<author pid="06/2380">Ansgar Scherp</author>
<title>A Study on Extracting Named Entities from Fine-tuned vs. Differentially Private Fine-tuned BERT Models.</title>
<year>2022</year>
<volume>abs/2212.03749</volume>
<journal>CoRR</journal>
<ee type="oa">https://doi.org/10.48550/arXiv.2212.03749</ee>
<url>db/journals/corr/corr2212.html#abs-2212-03749</url>
</article>
</r>
<r><inproceedings key="conf/doceng/SinghoferGKS21" mdate="2023-09-30">
<author pid="293/6907">Fabian Singhofer</author>
<author orcid="0009-0005-0160-5479" pid="263/1237">Aygul Garifullina</author>
<author pid="16/5339">Mathias Kern</author>
<author pid="06/2380">Ansgar Scherp</author>
<title>A novel approach on the joint de-identification of textual and relational data with a modified mondrian algorithm.</title>
<pages>14:1-14:10</pages>
<year>2021</year>
<booktitle>DocEng</booktitle>
<ee>https://doi.org/10.1145/3469096.3469871</ee>
<crossref>conf/doceng/2021</crossref>
<url>db/conf/doceng/doceng2021.html#SinghoferGKS21</url>
</inproceedings>
</r>
<r><article publtype="informal" key="journals/corr/abs-2105-08842" mdate="2021-05-31">
<author pid="293/6907">Fabian Singhofer</author>
<author pid="263/1237">Aygul Garifullina</author>
<author pid="16/5339">Mathias Kern</author>
<author pid="06/2380">Ansgar Scherp</author>
<title>rx-anon - A Novel Approach on the De-Identification of Heterogeneous Data based on a Modified Mondrian Algorithm.</title>
<year>2021</year>
<volume>abs/2105.08842</volume>
<journal>CoRR</journal>
<ee type="oa">https://arxiv.org/abs/2105.08842</ee>
<url>db/journals/corr/corr2105.html#abs-2105-08842</url>
</article>
</r>
<r><inproceedings key="conf/uic/ChenZMLMKG19" mdate="2023-11-02">
<author orcid="0000-0003-2274-8135" pid="05/1539-18">Zhi Chen 0018</author>
<author pid="71/208-1">Shuai Zhang 0001</author>
<author pid="m/SallyIMcClean">Sally I. McClean</author>
<author pid="08/2371">Gaye Lightbody</author>
<author pid="153/0270">Michael Milliken</author>
<author pid="80/6613">Ian Kegel</author>
<author orcid="0009-0005-0160-5479" pid="263/1237">Aygul Garifullina</author>
<title>Using Eye Tracking to Gain Insight into TV Customer Experience by Markov Modelling.</title>
<pages>916-921</pages>
<year>2019</year>
<booktitle>SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI</booktitle>
<ee>https://doi.org/10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00184</ee>
<crossref>conf/uic/2019</crossref>
<url>db/conf/uic/uic2019.html#ChenZMLMKG19</url>
</inproceedings>
</r>
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<co c="0"><na f="c/Chamberlain:Jon" pid="76/7444">Jon Chamberlain</na></co>
<co c="1"><na f="c/Chen_0018:Zhi" pid="05/1539-18">Zhi Chen 0018</na></co>
<co c="0"><na f="d/Diera:Andor" pid="318/1178">Andor Diera</na></co>
<co c="0"><na f="j/Jameel:Shoaib" pid="94/10440">Shoaib Jameel</na></co>
<co c="1"><na f="k/Kegel:Ian" pid="80/6613">Ian Kegel</na></co>
<co c="0"><na f="k/Kern:Mathias" pid="16/5339">Mathias Kern</na></co>
<co c="0"><na f="k/Kia:Mahsa_Abazari" pid="288/7604">Mahsa Abazari Kia</na></co>
<co c="0"><na f="l/Lell:Nicolas" pid="289/1307">Nicolas Lell</na></co>
<co c="1"><na f="l/Lightbody:Gaye" pid="08/2371">Gaye Lightbody</na></co>
<co c="1"><na f="m/McClean:Sally_I=" pid="m/SallyIMcClean">Sally I. McClean</na></co>
<co c="1"><na f="m/Milliken:Michael" pid="153/0270">Michael Milliken</na></co>
<co c="0"><na f="s/Scherp:Ansgar" pid="06/2380">Ansgar Scherp</na></co>
<co c="0"><na f="s/Singhofer:Fabian" pid="293/6907">Fabian Singhofer</na></co>
<co c="1"><na f="z/Zhang_0001:Shuai" pid="71/208-1">Shuai Zhang 0001</na></co>
</coauthors>
</dblpperson>

