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

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