20th Modeling Decisions for Artificial Intelligence MDAI 2023, Umea, Sweden June 19-22, 2023
http://www.mdai.cat/mdai2023

Proceedings: LNAI; CORE-B conference; Deadline: December 15th

Decision processes in a broad sense, including model building and all kind of mathematical tools for data aggregation, information fusion, and decision making; tools to help decision in data science problems (including e.g., statistical and machine learning algorithms as well as data visualization tools); and algorithms for data privacy and transparency-aware methods so that data processing processes and decisions made from them are fair, transparent, explainable and avoid unnecessary disclosure of sensitive information.

Tracks on (i) data science, (ii) machine learning, (iii) data privacy, (iv) aggregation funcions, (v) human decision making, and (vi) graphs and (social) networks.

MDAI is rated as a CORE B conference by the Computing Research and Education Association of Australasia – CORE.

*Important Dates*

     LNAI Submission deadline: December 15th, 2022
     LNAI Acceptance notification: March 1st, 2023
     Final version of LNAI accepted papers: March 17th, 2023

     USB-only Submission deadline: April 30th, 2023
     USB Acceptance notification: May 20th, 2023

     Early registration: March 15th, 2023
     Conference: 19-22 June, 2023

*Submission and Publication*

Original technical contributions are sought. Contributions will be selected on the basis of their quality. Papers should not exceed 12 pages in total (using LNCS/LNAI style). Proceedings with accepted papers will be published in the LNAI/LNCS series (Springer-Verlag).

We publish additional proceedings in a volume (with ISBN) with a later deadline.

Program co-chairs:
     Vicenc Torra (Umea University, Sweden)
     Yasuo Narukawa (Tamagawa University, Japan)

AB, PC, local organizing committee and additional information:
     http://www.mdai.cat/mdai2023

We invite proposals for tutorials to be organized in conjunction with
the 2023 IEEE Conference on Automatic Face and Gesture Recognition (FG
2023: https://hal.cse.msu.edu/fg2023/) in Waikoloa, Hawaii. The
tutorials should complement and enhance the scientific program of FG
2023 by providing authoritative and compreh7ensive overviews of growing
themes that are of sufficient relevance with respect to the
state-of-the-art and the conference topics.

Accepted tutorials will be held on either 4 January or 5 January 2023 in
the same venue as the FG 2023 main conference, at the Waikoloa Beach
Marriott Resort, Hawaii, USA.
We solicit proposals on any topic of interest to the FG community.
Interdisciplinary topics that could attract a significant cross-section
of the community are highly encouraged. We particularly welcome
tutorials which address advances in emerging areas not previously
covered in an FG related tutorial. Proposals should be submitted by 3
October 2022. Notifications will be circulated on 10 October 2022.

*** TUTORIAL PROPOSAL SUBMISSION ***

Tutorial proposals should be submitted through CMT and will be reviewed
and evaluated by the workshop and tutorial co-chairs, Tae-Kyun Kim,
Vitomir Štruc, and Lijun Yin. The CMT submission website is available
from: https://cmt3.research.microsoft.com/FGWT2023
A tutorial proposal should include the following information to
facilitate the decision process:

• Title
• Proposer’s contact information and short CV
• Names of any additional lecturers and short CV
• Tutorial description and description of relevance to the FG community
and an evaluation plan
• References and experience of the instructors with respect to the
proposed tutorial topic
• Planned length of the tutorial
• List of relevant tutorials recently presented in other conferences
• Requirements (e.g., facilities, internet access, etc.),
• Other useful information (e.g., estimated attendance, slides/notes
available, etc.).

The main conference will provide rooms, equipment, and coffee breaks for
the tutorials.

For your reference, the titles of the three tutorials held in
conjunction with the previous FG conferences were as follows:

•    Multi-view Face Representation
•    Remote Physiological Measurement from Images and Videos
•    From Deep Unsupervised to Supervised Models for Face Analysis
•    Statistical Methods for Affective Computing

*** Review process ***
Tutorial proposals will be evaluated on the basis of their estimated
benefit for the community and their fit within the tutorials program as
a whole. Factors to be considered include relevance, timeliness,
importance, and audience appeal; suitability for presentation in a half
or full day format; past experience and qualifications of the
instructors. Selection will also be based on the overall distribution of
topics, expected attendance, and specialties of the intended audiences.

CONTACT AND QUERIES
For additional information and queries regarding the workshop proposal
procedure, please contact the Workshop and Tutorial Co-chairs: Tae-Kyun
Kim (tk.kim@imperial.ac.uk). Vitomir Štruc (vitomir.struc@fe.uni-lj.si)
and Lijun Yin (lijun@cs.binghamton.edu).

*** Important Dates ***
Tutorial proposals due:         3 October 2022
Notification of acceptance:     10 October 2022
Workshops and tutorials:     4 January or 5 January 2023

*** Submission ***
https://cmt3.research.microsoft.com/FGWT2023