4th workshop on Intelligent Cross-Data Analytics and Retrieval Call for Papers

ICMR 2023: 12-15 June 2023 Thessaloniki, Greece

ICDAR 2023 (hybrid) 
the 4th workshop on Intelligent Cross-Data Analytics and Retrieval

https://www.xdata.nict.jp/icdar_icmr2023/

 

Data plays a critical role in human life. In the digital era, where
data can be collected almost anywhere and anytime, people have access
to a vast volume of real-time data that reflects their living
environment differently. People can extract necessary information from
these data to gain knowledge and become wiser.


Nevertheless, data often comes from multiple sources and only reflects
a small part of the big puzzle of life. Despite potentially missing
some pieces, the goal is to capture the puzzle's image with the
available pieces. The more pieces of data we can collect and assemble
within a given frame, the faster we can solve the puzzle. The
challenge becomes even more significant when dealing with multimodal
data, cross-domain and cross-platform problems. A multimodal data
puzzle would be one where pieces have different shapes and sizes. A
cross-domain puzzle would be one where the pieces come from distinct
sub-pictures. Finally, a cross-platform puzzle would be one where the
pieces assembled come from different puzzles. But in all these
scenarios, you still have to put the pieces together to get the entire
picture. The proposed research topic of "Intelligent Cross-Data
Analysis and Retrieval" aims to advance the field of cross-data
analytics and retrieval and contribute to developing a more
intelligent and sustainable society. This workshop welcomes
researchers coming from diverse domains and disciplines, such as
well-being, disaster prevention and mitigation, mobility, climate
change, tourism, healthcare, and more

 

The proposed research topic of "Intelligent Cross-Data Analysis and
Retrieval" aims to advance the field of cross-data analytics and
retrieval and contribute to developing a more intelligent and
sustainable society. This workshop welcomes researchers from diverse
domains and disciplines, including well-being, disaster prevention and
mitigation, mobility, climate change, tourism, healthcare, and more.

 

Example topics include, but are not limited to:

- Event-based cross-data retrieval Data mining and AI technology.

- Multimodal complex event processing

- Transfer Learning and Transformers.

- Multimodal self-supervised learning

- Heterogeneous data association discovery.

- Cross-datasets for Repeatable Experimentation.

- Federated Analytics and Federated Learning for cross-data.

- Privacy-public data collaboration.

- Diverse multimodal data Integration.

- Realization of a prosperous and independent region in which people
and nature coexist.

- Intelligent cross-data analysis applications from different domains

 

Paper submission:

* All papers must be formatted according to the ACM proceedings style.

* All technical content, including the main text, figures, and tables,
without references, should be included within the page limit (eight
pages for regular papers and four pages for short papers).

* For any over-length submission, we reserve the right to reject it
outright on an administrative basis.
 

Important Dates:

*  Feb. 28, 2023: Deadline for Paper Submission

*  Mar. 31, 2023: Notification of Acceptance

*  Apr. 20, 2023: Camera-Ready Paper Due

*  (TBD) - Workshops Day

 

Organizers*

*  Guillaume Habault, KDDI Research Inc., Japan

*  Michael Alexander Riegler, Simula Metropolitan Center for Digital Engineering, Norway

*  Minh-Son Dao, National Institute of Information and Communications Technology (NICT), Japan

*  Duc-Tien Dang-Nguyen, Bergen University, Norway

*  Yuta Nakashima, Osaka University, Japan

*  Cathal Gurrin, Dublin City University, Ireland

 

Contact:

https://www.xdata.nict.jp/icdar_icmr2023/
https://icmr2023.org/
 xgu-habault@kddi.com>

 dao@nict.go.jp