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<p class="xmsonospacing"><span lang="en-CH"> <o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">ANNPR 2020 (<a href="https://annpr2020.ch/">https://annpr2020.ch/</a>), the 9th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition, will be held from September 2nd-4th, 2020, at Zurich University
of Applied Sciences ZHAW in Winterthur, Switzerland.<o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH"> <o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">UPDATES</span><o:p></o:p></p>
<p class="xmsonospacing"><span lang="en-CH"> <o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">The deadline for paper submission has been extended to
</span>*<b><span lang="en-CH">June 19, 2020.</span></b>*<o:p></o:p></p>
<p class="xmsonospacing"><span lang="en-CH"> <o:p></o:p></span></p>
<p class="xmsonospacing">*<b><span lang="en-CH">Confirmed</span></b>*<span lang="en-CH"> Keynote by Prof. J</span>ue<span lang="en-CH">rgen Schmidhuber (Swiss AI Lab IDSIA)<o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH"> <o:p></o:p></span></p>
<p class="xmsonospacing">*<b>NEW</b>* Prizes: We are going to award prizes of CHF 500 each for the best presentation (IAPR best presentation award) & the best accepted paper, as decided by a jury formed of PC and LOC members.<o:p></o:p></p>
<p class="xmsonospacing"><span lang="en-CH"><o:p> </o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">In addition to the workshop proceedings (published by Springer LNCS), we will invite the
</span>*<b><span lang="en-CH">5 selected best accepted papers (as determined by the PC) to submit extended versions to a special issue of the
</span>OA </b><b><span lang="en-CH">MDPI Journal “Computers” (ISSN 2073-431X), free of charge.</span></b>*<o:p></o:p></p>
<p class="xmsonospacing"><span lang="en-CH"> <o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">We confirm that the conference will happen as planned, either in Winterthur or as an online event. We do not intend to postpone or cancel the conference. We will send out another update about the format of the conference,
including information about registration, in the next weeks.<o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH"> <o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">Updated schedule:<o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">2020-06-19: Submission Deadline<o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">2020-06-YY: Registration opens (t.b.a.)<o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">2020-07-10: Notification of acceptance to authors<o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">2020-07-17: Deadline for submission of camera-ready manuscripts<o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">2020-07-17: Early Registration closes<o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">2020-09-02: Conference starts as planned (in-person or online-only)<o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH"> <o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">The workshop will act as a major forum for international researchers and practitioners working in all areas of neural network- and machine learning-based pattern recognition to present and discuss the latest research,
results, and ideas in these areas. ANNPR is the biannual workshop organized by the <a href="http://iapr-tc3.diism.unisi.it/">http://iapr-tc3.diism.unisi.it/</a> on Neural Networks & Computational Intelligence of the <a href="http://www.iapr.org/http:/www.iapr.org/">http://www.iapr.org/http://www.iapr.org/</a><o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH"> <o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">Among the previous editions of the workshop were ANNPR 2018 (Siena, Italy), ANNPR 2016 (Ulm, Germany), ANNPR 2014 (Montreal, Canada), ANNPR 2012 (Trento, Italy), ANNPR 2010 (Cairo, Egypt), ANNPR 2008 (Paris, France)
and ANNPR 2006 (Ulm, Germany). <o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH"> <o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">Program:<o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH"> <o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">The workshop will consist of keynote talks, several sessions for presentations of accepted papers, and a poster session. Keynote speakers are Jürgen Schmidhuber (The Swiss AI Lab IDSIA, Lugano, Switzerland), Naftali
Tishby (Hebrew University of Jerusalem, Israel), Bernd Feisleben (University of Marburg, Germany) and Pascal Paysan (Varian Medical Systems).<o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH"> <o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">In addition, there will be a dedicated industry session featuring a sponsored keynote, applied research presentations and industry exhibits / booths / demos, which will provide networking opportunities. The social
program consists of a welcome reception, an excursion and a conference dinner.<o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH"> <o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">Topics:<o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH"> <o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">ANNPR 2020 invites papers that present original work in the areas of neural networks and machine learning oriented to pattern recognition, focusing on their algorithmic, theoretical, and applied aspects. Topics of
interest include, but are not limited to: <o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH"> <o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">Methodological Issues: <o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">– Supervised, semi-supervised, unsupervised and reinforcement learning
<o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">– Deep learning & deep reinforcement learning
<o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">– Feed-forward, recurrent, and convolutional neural networks
<o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">– Generative models <o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">– Interpretability & explainability of neural networks
<o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">– Robustness & generalization of neural networks
<o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">– Meta-learning, Auto-ML <o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH"> <o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">Applications to Pattern Recognition: <o:p>
</o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">– Image classification and segmentation
<o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">– Object detection <o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">– Document analysis, e.g. handwriting recognition
<o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">– Sensor-fusion and multi-modal processing
<o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">– Biometrics, including speech and speaker recognition and segmentation
<o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">– Data, text, and web mining <o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">– Bioinformatics and medical applications
<o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">– Industrial applications, e.g. quality control and predictive maintenance
<o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH"> <o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">Paper Submission (Deadline: June 19, 2020):<o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH"> <o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">Papers are invited to be submitted via EasyChair. There will be a peer review process before acceptance. The page limit is 12 pages. For instructions, see
<a href="https://annpr2020.ch/cfp/">https://annpr2020.ch/cfp/</a>. <o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH"> <o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">Accepted papers will be published as a special volume of the Springer Lecture Notes in Artificial Intelligence (LNAI) series. For previous editions, see
<a href="https://link.springer.com/conference/annpr">https://link.springer.com/conference/annpr</a>.
<o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH"> <o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">Organization:<o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH"> <o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">The workshop is organized by the Institute of Applied Information Technology (InIT) at the ZHAW School of Engineering. The program committee is listed at
<a href="https://annpr2020.ch/organisation/">https://annpr2020.ch/organisation/</a>
<o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH"> <o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">Chairs: <o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH"> <o:p></o:p></span></p>
<p class="xmsonospacing"><span lang="en-CH">Dr. Frank-Peter Schilling (chair), Prof. Dr. Thilo Stadelmann (co-chair)
<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="en-CH"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="en-CH">--<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="en-CH">Dr. Frank-Peter Schilling<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="en-CH">ZHAW School of Engineering<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="en-CH">Institute of Applied Information Technology (InIT)<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="en-CH">Obere Kirchgasse 2 / TD O3.07 / Postfach / CH-8401 Winterthur<o:p></o:p></span></p>
<p class="MsoNormal"><span lang="en-CH"><a href="mailto:scik@zhaw.ch"><span style="color:#0563C1">scik@zhaw.ch</span></a> / +41 58 934-6955 /
<a href="http://www.zhaw.ch/en/about-us/person/scik/"><span style="color:#0563C1">www.zhaw.ch/en/about-us/person/scik/</span></a><o:p></o:p></span></p>
<p class="MsoNormal"><span lang="en-CH"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="en-CH"><o:p> </o:p></span></p>
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