<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>2685</id>
    <completedYear/>
    <publishedYear>2020</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>340</pageFirst>
    <pageLast>351</pageLast>
    <pageNumber>12</pageNumber>
    <edition/>
    <issue/>
    <volume>416</volume>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Reactive Soft Prototype Computing for Concept Drift Streams</title>
    <parentTitle language="eng">Neurocomputing</parentTitle>
    <identifier type="doi">10.1016/j.neucom.2019.11.111</identifier>
    <enrichment key="opus.import.data">@articleDBLP:journals/ijon/RaabHS20, author = Christoph Raab and Moritz Heusinger and Frank-Michael Schleif, title = Reactive Soft Prototype Computing for Concept Drift Streams, journal = Neurocomputing, volume = 416, pages = 340–351, year = 2020, url = https://doi.org/10.1016/j.neucom.2019.11.111, doi = 10.1016/j.neucom.2019.11.111, timestamp = Mon, 26 Oct 2020 00:00:00 +0100, biburl = https://dblp.org/rec/journals/ijon/RaabHS20.bib, bibsource = dblp computer science bibliography, https://dblp.org</enrichment>
    <enrichment key="opus.import.dataHash">md5:74459bf946295b688ab87fd576c14a55</enrichment>
    <enrichment key="opus.import.date">2023-06-07T09:16:59+00:00</enrichment>
    <enrichment key="opus.import.file">/tmp/phpxYWVaH</enrichment>
    <enrichment key="opus.import.format">bibtex</enrichment>
    <enrichment key="opus.import.id">64804b0bb6c7f6.68005601</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <author>Christoph Raab</author>
    <author>Moritz Heusinger</author>
    <author>Frank-Michael Schleif</author>
    <collection role="institutes" number="fiw">Fakultät Informatik und Wirtschaftsinformatik</collection>
    <collection role="Autoren" number="schleif">Frank-Michael Schleif</collection>
  </doc>
  <doc>
    <id>2681</id>
    <completedYear/>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>8</pageLast>
    <pageNumber>8</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Scalable embedding of multiple perspectives for indefinite life-science data analysis</title>
    <parentTitle language="eng">IEEE Symposium Series on Computational Intelligence, SSCI 2021, Orlando, FL, USA, December 5-7, 2021</parentTitle>
    <identifier type="doi">10.1109/SSCI50451.2021.9659914</identifier>
    <enrichment key="opus.import.data">@inproceedingsDBLP:conf/ssci/MunchHVS21, author = Maximilian Münch and Simon Heilig and Philipp Väth and Frank-Michael Schleif, title = Scalable embedding of multiple perspectives for indefinite life-science data analysis, booktitle = IEEE Symposium Series on Computational Intelligence, SSCI 2021, Orlando, FL, USA, December 5-7, 2021, pages = 1–8, publisher = IEEE, year = 2021, url = https://doi.org/10.1109/SSCI50451.2021.9659914, doi = 10.1109/SSCI50451.2021.9659914, timestamp = Sun, 02 Oct 2022 01:00:00 +0200, biburl = https://dblp.org/rec/conf/ssci/MunchHVS21.bib, bibsource = dblp computer science bibliography, https://dblp.org</enrichment>
    <enrichment key="opus.import.dataHash">md5:e38d2de31928deab4d9d981f0376553c</enrichment>
    <enrichment key="opus.import.date">2023-06-07T09:16:59+00:00</enrichment>
    <enrichment key="opus.import.file">/tmp/phpxYWVaH</enrichment>
    <enrichment key="opus.import.format">bibtex</enrichment>
    <enrichment key="opus.import.id">64804b0bb6c7f6.68005601</enrichment>
    <author>Maximilian Münch</author>
    <author>Simon Heilig</author>
    <author>Philipp Väth</author>
    <author>Frank-Michael Schleif</author>
    <collection role="institutes" number="fiw">Fakultät Informatik und Wirtschaftsinformatik</collection>
    <collection role="Autoren" number="schleif">Frank-Michael Schleif</collection>
  </doc>
  <doc>
    <id>2686</id>
    <completedYear/>
    <publishedYear>2020</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>7</pageLast>
    <pageNumber>7</pageNumber>
    <edition/>
    <issue/>
    <volume>129</volume>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Sparsification of core set models in non-metric supervised learning</title>
    <parentTitle language="eng">Pattern Recognition Letters</parentTitle>
    <identifier type="doi">10.1016/j.patrec.2019.10.024</identifier>
    <enrichment key="opus.import.data">@articleDBLP:journals/prl/SchleifRT20, author = Frank-Michael Schleif and Christoph Raab and Peter Tiño, title = Sparsification of core set models in non-metric supervised learning, journal = Pattern Recognit. Lett., volume = 129, pages = 1–7, year = 2020, url = https://doi.org/10.1016/j.patrec.2019.10.024, doi = 10.1016/j.patrec.2019.10.024, timestamp = Sat, 22 Feb 2020 00:00:00 +0100, biburl = https://dblp.org/rec/journals/prl/SchleifRT20.bib, bibsource = dblp computer science bibliography, https://dblp.org</enrichment>
    <enrichment key="opus.import.dataHash">md5:b6b4213b1474cfbc85e7ee667abb0d3a</enrichment>
    <enrichment key="opus.import.date">2023-06-07T09:16:59+00:00</enrichment>
    <enrichment key="opus.import.file">/tmp/phpxYWVaH</enrichment>
    <enrichment key="opus.import.format">bibtex</enrichment>
    <enrichment key="opus.import.id">64804b0bb6c7f6.68005601</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <author>Frank-Michael Schleif</author>
    <author>Christoph Raab</author>
    <author>Peter Tiño</author>
    <collection role="institutes" number="fiw">Fakultät Informatik und Wirtschaftsinformatik</collection>
    <collection role="Autoren" number="schleif">Frank-Michael Schleif</collection>
  </doc>
  <doc>
    <id>2718</id>
    <completedYear/>
    <publishedYear>2016</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Learning in indefinite proximity spaces - recent trends</title>
    <parentTitle language="eng">24th European Symposium on Artificial Neural Networks, ESANN 2016, Bruges, Belgium, April 27-29, 2016</parentTitle>
    <enrichment key="opus.import.data">@inproceedingsDBLP:conf/esann/SchleifTL16, author = Frank-Michael Schleif and Peter Tiño and Yingyu Liang, title = Learning in indefinite proximity spaces - recent trends, booktitle = 24th European Symposium on Artificial Neural Networks, ESANN 2016, Bruges, Belgium, April 27-29, 2016, year = 2016, url = https://www.esann.org/sites/default/files/proceedings/legacy/es2016-22.pdf, timestamp = Tue, 02 Aug 2022 01:00:00 +0200, biburl = https://dblp.org/rec/conf/esann/SchleifTL16.bib, bibsource = dblp computer science bibliography, https://dblp.org</enrichment>
    <enrichment key="opus.import.dataHash">md5:8ba0057483a07b0a46ee94f667317f34</enrichment>
    <enrichment key="opus.import.date">2023-06-07T09:16:59+00:00</enrichment>
    <enrichment key="opus.import.file">/tmp/phpxYWVaH</enrichment>
    <enrichment key="opus.import.format">bibtex</enrichment>
    <enrichment key="opus.import.id">64804b0bb6c7f6.68005601</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <author>Frank-Michael Schleif</author>
    <author>Peter Tiño</author>
    <author>Yingyu Liang</author>
    <collection role="institutes" number="fiw">Fakultät Informatik und Wirtschaftsinformatik</collection>
    <collection role="Autoren" number="schleif">Frank-Michael Schleif</collection>
  </doc>
  <doc>
    <id>2684</id>
    <completedYear/>
    <publishedYear>2020</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>320</pageFirst>
    <pageLast>330</pageLast>
    <pageNumber>11</pageNumber>
    <edition/>
    <issue/>
    <volume>397</volume>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Transfer learning extensions for the probabilistic classification vector machine</title>
    <parentTitle language="eng">Neurocomputing</parentTitle>
    <identifier type="doi">10.1016/j.neucom.2019.09.104</identifier>
    <enrichment key="opus.import.data">@articleDBLP:journals/ijon/RaabS20, author = Christoph Raab and Frank-Michael Schleif, title = Transfer learning extensions for the probabilistic classification vector machine, journal = Neurocomputing, volume = 397, pages = 320–330, year = 2020, url = https://doi.org/10.1016/j.neucom.2019.09.104, doi = 10.1016/j.neucom.2019.09.104, timestamp = Tue, 26 May 2020 01:00:00 +0200, biburl = https://dblp.org/rec/journals/ijon/RaabS20.bib, bibsource = dblp computer science bibliography, https://dblp.org</enrichment>
    <enrichment key="opus.import.dataHash">md5:6f058d54bbf8549ca772801f5341e715</enrichment>
    <enrichment key="opus.import.date">2023-06-07T09:16:59+00:00</enrichment>
    <enrichment key="opus.import.file">/tmp/phpxYWVaH</enrichment>
    <enrichment key="opus.import.format">bibtex</enrichment>
    <enrichment key="opus.import.id">64804b0bb6c7f6.68005601</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <author>Christoph Raab</author>
    <author>Frank-Michael Schleif</author>
    <collection role="institutes" number="fiw">Fakultät Informatik und Wirtschaftsinformatik</collection>
    <collection role="Autoren" number="schleif">Frank-Michael Schleif</collection>
  </doc>
  <doc>
    <id>2687</id>
    <completedYear/>
    <publishedYear>2020</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>457</pageFirst>
    <pageLast>473</pageLast>
    <pageNumber>17</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Bridging Adversarial and Statistical Domain Transfer via Spectral Adaptation Networks</title>
    <parentTitle language="eng">Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part III</parentTitle>
    <identifier type="doi">10.1007/978-3-030-69535-4_28</identifier>
    <enrichment key="opus.import.data">@inproceedingsDBLP:conf/accv/RaabV0S20, author = Christoph Raab and Philipp Väth and Peter Meier and Frank-Michael Schleif, editor = Hiroshi Ishikawa and Cheng-Lin Liu and Tomás Pajdla and Jianbo Shi, title = Bridging Adversarial and Statistical Domain Transfer via Spectral Adaptation Networks, booktitle = Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part III, series = Lecture Notes in Computer Science, volume = 12624, pages = 457–473, publisher = Springer, year = 2020, url = https://doi.org/10.1007/978-3-030-69535-4_28, doi = 10.1007/978-3-030-69535-4_28, timestamp = Tue, 02 Mar 2021 00:00:00 +0100, biburl = https://dblp.org/rec/conf/accv/RaabV0S20.bib, bibsource = dblp computer science bibliography, https://dblp.org</enrichment>
    <enrichment key="opus.import.dataHash">md5:4fe9a5afda4eac2e551fb468e8e28582</enrichment>
    <enrichment key="opus.import.date">2023-06-07T09:16:59+00:00</enrichment>
    <enrichment key="opus.import.file">/tmp/phpxYWVaH</enrichment>
    <enrichment key="opus.import.format">bibtex</enrichment>
    <enrichment key="opus.import.id">64804b0bb6c7f6.68005601</enrichment>
    <author>Christoph Raab</author>
    <author>Philipp Väth</author>
    <author>Peter Meier</author>
    <author>Frank-Michael Schleif</author>
    <collection role="institutes" number="fiw">Fakultät Informatik und Wirtschaftsinformatik</collection>
    <collection role="Autoren" number="schleif">Frank-Michael Schleif</collection>
  </doc>
  <doc>
    <id>2690</id>
    <completedYear/>
    <publishedYear>2020</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>509</pageFirst>
    <pageLast>514</pageLast>
    <pageNumber>6</pageNumber>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Domain Invariant Representations with Deep Spectral Alignment</title>
    <parentTitle language="eng">28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2020, Bruges, Belgium, October 2-4, 2020</parentTitle>
    <enrichment key="opus.import.data">@inproceedingsDBLP:conf/esann/RaabMS20, author = Christoph Raab and Peter Meier and Frank-Michael Schleif, title = Domain Invariant Representations with Deep Spectral Alignment, booktitle = 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2020, Bruges, Belgium, October 2-4, 2020, pages = 509–514, year = 2020, url = https://www.esann.org/sites/default/files/proceedings/2020/ES2020-31.pdf, timestamp = Fri, 29 Jan 2021 00:00:00 +0100, biburl = https://dblp.org/rec/conf/esann/RaabMS20.bib, bibsource = dblp computer science bibliography, https://dblp.org</enrichment>
    <enrichment key="opus.import.dataHash">md5:c01358bf9a482f5089d0476c811c5f05</enrichment>
    <enrichment key="opus.import.date">2023-06-07T09:16:59+00:00</enrichment>
    <enrichment key="opus.import.file">/tmp/phpxYWVaH</enrichment>
    <enrichment key="opus.import.format">bibtex</enrichment>
    <enrichment key="opus.import.id">64804b0bb6c7f6.68005601</enrichment>
    <author>Christoph Raab</author>
    <author>Peter Meier</author>
    <author>Frank-Michael Schleif</author>
    <collection role="institutes" number="fiw">Fakultät Informatik und Wirtschaftsinformatik</collection>
    <collection role="Autoren" number="schleif">Frank-Michael Schleif</collection>
  </doc>
</export-example>
