[CfP][ICIAP 2025] Workshop on Reliable AI and Uncertainty Quantification in Image Analysis RELAI-2025 - Rome, September 15-19

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Davide Moroni

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Apr 23, 2025, 6:07:03 AM4/23/25
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Dear Researcher,
We would like to invite you to contribute to our workshop on Reliable AI and Uncertainty Quantification in Image Analysis (RELAI-2025, planned as part of ICIAP 2025 (International Conference on Image Analysis and Processing), which will be held in Rome, Lazio, Italy, from 15 to 19 September 2025 (prior to the main conference [https://sites.google.com/view/iciap25]).

As detailed on the dedicated page ([https://relai.isti.cnr.it/]), the workshop will focus on recent advances and modern applications of reliable AI in image analysis and high-stakes domains.

Short papers (12 pages including references) on both methods and novel applications in reliable AI for image analysis and signal processing are welcome. A strong adherence to the workshop subtopics is preferred: Reliable AI in visual tasks, Out-of-distribution detection, Uncertainty quantification methods and applications, and Efficient reliability estimation.
Papers with open-access code that facilitate easy application and reuse by researchers following the workshop are encouraged.

Accepted papers will be included in the ICIAP 2025 Conference Proceedings, which will be published by Springer in the Lecture Notes in Computer Science series (LNCS, [https://www.springer.com/series/0558]) .

The workshop will consist of a half-day session with longer presentation and discussion times (20 + 10 minutes), to allow for effective sharing of results and methodologies, or to explore the possibility of establishing collaborations.

The deadline for paper submission is 10 June 2025.

Hoping for a positive response,
Best regards

Claudia Caudia, Sara Colantonio, Giulio Del Corso, Davide Moroni,
Fabrizio Ruggeri


--
Davide Moroni, PhD
Signals & Images LAB
Institute of Information Science and Technologies
ISTI-CNR
via Moruzzi 1, 56124, Pisa
e-mail: davide...@isti.cnr.it
teams:  damoroni
tel:    +39 050 621 3130
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