Multimedia Tools and Applications gratefully acknowledges the editorial work of the scholars listed below on the special issue entitled, “Multi-Task Learning.”
Of 29 papers submitted to this issue, 14 were eventually accepted after a stringent peer-review process.
Dr. Yingying Zhu (Corresponding Guest Editor)
The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
zyy@med.unc.edu
Dr. Shichao Zhang
Guangxi Normal University, Guangxi, China
zhangsc@mailbox.gxnu.edu.cn
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Editorial Note: Multi-Task Learning. Multimed Tools Appl 77, 29507 (2018). https://doi.org/10.1007/s11042-018-6672-3
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DOI: https://doi.org/10.1007/s11042-018-6672-3