Connectionists: Deadline extension: 10th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR 2022, Hybrid)

[Edmondo Trentin]

Hybrid ANNPR 2022: due to the status of the ongoing Covid-19 pandemic,
remote presentations and attendance will be accommodated. Nonetheless,
ANNPR 2022 is being planned as an in-presence event, and we encourage
perspective attendees to join us in Dubai.

*** Deadline extension

10th IAPR TC3 International Workshop on Artificial Neural Networks in
Pattern Recognition (ANNPR 2022)
              November 24th - 26th, 2022
              Dubai Campus of Heriot-Watt University, Dubai, UAE
	      URL:  https://annpr2022.com/
Sponsored by the International Association for Pattern Recognition (IAPR)

*** The submission deadline is extended to July 3rd, 2022 ***

New Important Dates
   Paper submission (extended):	   July 3, 2022
   Notification of acceptance:     Jul 29, 2022
   Camera ready due:               Sep  4, 2022
   Early registration:		   Sep  4, 2022
   Workshop:                       Nov. 24-26, 2022 (Thu to Sat)

The Workshop proceedings will be published in the Springer LNAI series

ANNPR 2022 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 and deep reinforcement learning
     - Feed-forward, recurrent, and convolutional neural networks
     - Hierarchical modular architectures and hybrid systems
     - Interpretability and explainability of neural networks
     - Generative models
     - Robustness & generalization of neural networks
     - Meta-learning, Auto-ML
     - Multiple classifier systems and ensemble methods
     - Kernel machines
     - Probabilistic graphical models

   Applications to Pattern Recognition
     - Image processing and segmentation
     - Object detection
     - NLP and conversational agents
     - Sensor-fusion and multi-modal processing
     - Biometrics, including sspeech and speaker recognition and segmentation
     - Data, text, and social media analytics
     - Bioinformatics/Cheminformatics and medical applications
     - Industrial applications, e.g. quality control and predictive
maintenance
     - Data clustering

ANNPR 2022 is organized by the Technical Committee 3 (IAPR TC3) on Neural
Networks & Computational Intelligence of the International Association for
Pattern Recognition (IAPR). As such, we particularly encourage submissions
that fit the Manifesto and the research directions of the TC3 (see
http://iapr-tc3.diism.unisi.it/Research.html). The Workshop is officially
sponsored by the IAPR.

Paper Submission:
Perspective Authors shall submit their paper in Springer LNCS/LNAI format.
Please refer to the "Submission" page of the ANNPR 2022 website at:
https://annpr2022.com/paper-submission/
Instructions for Authors, LaTeX templates, etc. are available at the
Springer LNCS/LNAI web-site (see
http://www.springer.com/it/computer-science/lncs/conference-proceedings-guidelines).
The maximum paper length is 12 pages. Submission of a paper constitutes a
commitment that, if accepted, at least one of the Authors will complete an
early registration to the workshop. On-line submission via EasyChair is
available through the aforementioned ANNPR 2022 web-page.

For more information, please visit us at:
https://annpr2022.com/
Do not hesitate to contact the ANNPR 2022 Chairs for any inquiries.

ANNPR 2022 Chairs:
Neamat El Gayar, Heriot-Watt University, Dubai (UAE)
Hazem Abbas, Ain Shams University, Cairo (Egypt)
Mirco Ravanelli, Concordia University, Montréal (Canada)
Edmondo Trentin, University of Siena, Siena (Italy)


-----------------------------------------------
Edmondo Trentin, PhD
Dip. Ingegneria dell'Informazione e Scienze MM.
V. Roma, 56 - I-53100 Siena (Italy)
E-mail:   trentin at dii.unisi.it
Voice:    +39-0577-234636
Fax:      +39-0577-233602
WWW:      http://www.dii.unisi.it/~trentin/HomePage.html