Selected Papers of the Third Workshop on Intelligent Cross-Data Analytics and Retrieval
A special issue of Algorithms (ISSN 1999-4893).
Deadline for manuscript submissions: closed (31 July 2022) | Viewed by 11772
Special Issue Editors
Interests: big data; multimedia modeling; information retrieval; vision-language matching; computer vision; machine learning and deep learning
Special Issues, Collections and Topics in MDPI journals
Interests: multimedia information retrieval; digital memories; mobile device access
Special Issues, Collections and Topics in MDPI journals
Interests: multimedia forensics; multimedia retrieval; data science; information and communication technology
Interests: wireless networks; cloud computing; cyberphysical systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The focus of this Special Issue is cross-data, domain or platform analysis (in cooperation with The Third Workshop on Intelligent Cross-Data Analytics and Retrieval - ICDAR 2022, https://www.xdata.nict.jp/icdar_icmr2022/index.html). More specifically, it will present contributions that discuss how we can use a set of data (i.e., multimodal data) from certain domains with analytic models built on one platform to infer (e.g., prediction, interpolation, query) data from another domain(s) and vice versa.
The latest research on cross-modal analysis, where, for example text and images are combined, shows great potential. In addition, training and testing of models cross datasets can lead to better and more robust results. Although research on multimodal data analytics is growing fast, little cross-data (e.g., cross-modal data, cross-domain, cross-platform) research has been performed thus far. In order to promote intelligent cross-data analytics and retrieval research, this Special Issue welcomes contributions from diverse research domains and disciplines such as well-being, disaster prevention and mitigation, mobility, climate change, tourism, healthcare, and food computing.
Potential topics of interest include (but are not limited to) the following:
- Event-based cross-data retrieval data mining and AI technology
- Complex event processing for dynamically linking sensors data from individual regions to broad areas
- Transfer learning and transformers
- Hypotheses development of the associations within the heterogeneous data
- Realisation of a prosperous and independent region in which people and nature coexist
- Applications leverage intelligent cross-data analysis for a particular domain
- Cross-datasets for repeatable experimentation
- Federated analytics and federated learning for cross-data
- Private–public data collaboration
- Integration of diverse multimodal data
- Explainable and interpretability methods for cross-data
- Evaluation metrics and methods
Dr. Minh-Son Dao
Dr. Cathal Gurrin
Dr. Duc Tien Dang Nguyen
Dr. Mianxiong Dong
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
