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ICPRAM 2023 will be held in conjunction with ICAART 2023 and ICISSP 2023.
Registration to ICPRAM allows free access to the ICAART and ICISSP conferences (as a non-speaker).


Although the conference is back to the normal mode (i.e., in-person) speakers are allowed to present remotely if unable to travel to the venue (hybrid support).
 
The International Conference on Pattern Recognition Applications and Methods is a major point of contact between researchers, engineers and practitioners on the areas of Pattern Recognition and Machine Learning, both from theoretical and application perspectives.
Contributions describing applications of Pattern Recognition techniques to real-world problems, interdisciplinary research, experimental and/or theoretical studies yielding new insights that advance Pattern Recognition methods are especially encouraged.

Conference Areas

1 . Theory and Methods


2 . Applications


Conference Chair

Ana Fred, Instituto de Telecomunicações and Instituto Superior Técnico (University of Lisbon), Portugal

PROGRAM CO-CHAIRS

Maria De Marsico, Sapienza Università di Roma, Italy
Gabriella Sanniti Di Baja, Italian National Research Council CNR, Italy

Keynote Speakers

Petia Radeva, Universitat de Barcelona, Spain
Anil Jain, Michigan State University, United States (Distinguished IAPR Speaker)
Mario Figueiredo, Instituto de Telecomunicações, Portugal
 
Publications:
Science and Technology Publications, Lda

All papers presented at the conference venue
will be available at the SCITEPRESS Digital Library
(consult SCITEPRESS Ethics of Publication)
Springer Nature Computer Science

A short list of best papers will be invited
for a post-conference special issue of the
Springer Nature Computer Science Journal
Lecture Notes in Computer Science

A short list of presented papers will be selected
so that revised and extended versions of  these
papers will be published by Springer in a 
LNCS Series book

Technically co-sponsored by:

Technically co-sponsored by:

Endorsed by:

In Cooperation with:

Proceedings will be submitted for evaluation for indexing by:


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