ANNPR 2020 (https://annpr2020.ch/), 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.

UPDATES

The deadline for paper submission has been extended to *June 19, 2020.*

*Confirmed* Keynote by Prof. Juergen Schmidhuber (Swiss AI Lab IDSIA)

*NEW* 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.

In addition to the workshop proceedings (published by Springer LNCS), we will invite the *5 selected best accepted papers (as determined by the PC) to submit extended versions to a special issue of the OA MDPI Journal “Computers” (ISSN 2073-431X), free of charge.*

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.

Updated schedule:

2020-06-19: Submission Deadline

2020-06-YY: Registration opens (t.b.a.)

2020-07-10: Notification of acceptance to authors

2020-07-17: Deadline for submission of camera-ready manuscripts

2020-07-17: Early Registration closes

2020-09-02: Conference starts as planned (in-person or online-only)

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 http://iapr-tc3.diism.unisi.it/ on Neural Networks & Computational Intelligence of the http://www.iapr.org/http://www.iapr.org/

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).

Program:

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).

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.

Topics:

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:

Methodological Issues:

– Supervised, semi-supervised, unsupervised and reinforcement learning

– Deep learning & deep reinforcement learning

– Feed-forward, recurrent, and convolutional neural networks

– Generative models

– Interpretability & explainability of neural networks

– Robustness & generalization of neural networks

– Meta-learning, Auto-ML

Applications to Pattern Recognition:

– Image classification and segmentation

– Object detection

– Document analysis, e.g. handwriting recognition

– Sensor-fusion and multi-modal processing

– Biometrics, including speech and speaker recognition and segmentation

– Data, text, and web mining

– Bioinformatics and medical applications

– Industrial applications, e.g. quality control and predictive maintenance

Paper Submission (Deadline: June 19, 2020):

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 https://annpr2020.ch/cfp/.

Accepted papers will be published as a special volume of the Springer Lecture Notes in Artificial Intelligence (LNAI) series. For previous editions, see https://link.springer.com/conference/annpr.

Organization:

The workshop is organized by the Institute of Applied Information Technology (InIT) at the ZHAW School of Engineering. The program committee is listed at https://annpr2020.ch/organisation/

Chairs:

Dr. Frank-Peter Schilling (chair), Prof. Dr. Thilo Stadelmann (co-chair)