9th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition, Call for Papers

COVID-19 Update: We are monitoring closely the situation caused by the
COVID-19 pandemic. At the moment, we still work on the assumption that
ANNPR 2020 can happen as planned in September. However, we are going
to re-evaluate the situation within the next weeks and may consider
potential options such as an extension of the conference deadlines,
moving to an online-only format or to postpone the event to 2021. We
will keep you updated.

Dear colleagues

We are excited to announce 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.

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

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).


The workshop will consist of keynote talks, several sessions for
presentations of accepted papers, and a poster session. Keynote
speakers are Jürgen Schmidhuber (tentative, The Swiss AI Lab IDSIA,
Lugano, Switzerland), Naftali Tishby (Hebrew University of Jerusalem,
Israel) and Bernd Feisleben (University of Marburg, Germany).

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: May 1st, 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.

In addition, we will invite the 5 (five) selected best accepted papers
(as determined by the PC) to submit extended versions to an ANNPR 2020
special issue of the MDPI Journal “Computers” (ISSN 2073-431X).


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) 


ZHAW is one of the leading universities of applied sciences in
Switzerland, with around 13 000 students and host to one of
Europe's first and largest dedicated research centers for Data
Science. ZHAW's School of Engineering is one of the leading
Engineering Faculties in Switzerland. Our 13 institutes and centres
guarantee superior-quality education, research and development with an
emphasis on the areas of energy, mobility, information and health.

Winterthur is the sixth-largest city of Switzerland with around 110
000 inhabitants. It is located in eastern Switzerland, approximately
20 km from Zurich. The Zurich region is the hub of the digital economy
in Switzerland, hosting companies like Google, NVIDIA, IBM and
Facebook, which have a high natural affinity to neural networks and
pattern recognition. It is also host to world famous universities such
as ETH Zurich and University of Zurich UZH, as well as to several
universities of applied sciences including the ZHAW. The Swiss AI
Institute IDSIA in Lugano, as well as the Swiss Data Science Center
SDSC by ETH Zurich and EPFL Lausanne complete the Artificial
Intelligence and Machine Learning landscape in the region.

Best regards,

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