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IEEE Intelligent Systems 2020 : CFP: IEEE Intelligent Systems Special Issue on Learning Complex Couplings and Interactions

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Link: https://www.computer.org/digital-library/magazines/ex/call-for-papers-special-issue-on-learning-complex-couplings-and-interactions
 
When N/A
Where N/A
Submission Deadline Mar 30, 2020
Notification Due Oct 2, 2020
Final Version Due Oct 30, 2020
 

Call For Papers

IEEE Intelligent Systems Special Issue
on Learning Complex Couplings and Interactions: Call for Papers

The world is becoming increasing complex with a major drive of incorporating increasingly intricate coupling relationships and interactions between entities, behaviors, subsystems, and systems and their dynamics and evolution of any kinds and in any domains. Effective modeling complex couplings and interactions in complex data, behaviors and systems directly addresses the core nature and challenges of complex problems and is critical for building next-generation intelligent theories and systems to improve machine intelligence and understand real-life complex systems. This Special Issue on learning complex couplings and interactions will collect and report the latest advancements in artificial intelligence and data science theories, models and applications of modeling complex couplings and interactions in big data, complex behaviors, and complex systems.

Scope of Interest:
The Special Issue will solicit the recent theoretical and practical advancements in learning complex couplings and interactions in areas relevant but not limited to the following:
* Explainable learning of complex couplings and interactions
* Representation learning of complex couplings and interactions
* Coupling learning of complex relations, interactions and networks and their dynamics
* Interaction learning of activities, behaviors, events, processes and their sequences, networks and dynamics
* Learning couplings and interactions in hybrid intelligent systems and problems
* Learning natural, online, social, economic, cultural and political couplings and interactions
* Learning real-time, dynamic, high-dimensional, heterogeneous, large-scale and sparse couplings, dependencies and interactions
* Probabilistic and stochastic modelling of coupling and interaction uncertainty and dependency
* Deep learning of complex couplings and interactions in big data and complex behaviors
* Large-scale simulation of complex couplings and interactions
* Visual analytics and visualization of complex couplings and interactions
* Impactful applications and tools for modelling complex couplings and interactions
* Human understandable explanations of complex couplings and interactions

Submission and Timeframe (https://mc.manuscriptcentral.com/is-cs):
All submissions must comply with the Submission Guidelines of IEEE Intelligent Systems and will be reviewed by research peers. The schedules are as follows:
* Paper Submission Date: March 30, 2020
* First Round of Reviews Date: May 30, 2020
* Revision Date: July 30, 2020
* Final Accept/Reject Date: October 2, 2020
* Camera Ready Copy Date: October 30, 2020
* Publication Date: January/February 2021

Guest Editors:
* Dr. Can Wang (Griffith University, Australia)
* Prof. Fosca Giannotti (University of Pisa, Italy)
* Prof. Longbing Cao (University of Technology Sydney, Australia)

Inquiries:
Inquiries about this Special Issue can be sent to Dr Can Wang (can.wang@griffith.edu.au), Prof. Fosca Giannotti (fosca.giannotti@isti.cnr.it) or Prof. Longbing Cao (longbing.cao@uts.edu.au).

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