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Article
Peer-Review Record

Rank-Adaptive Tensor Completion Based on Tucker Decomposition

Entropy 2023, 25(2), 225; https://doi.org/10.3390/e25020225
by Siqi Liu, Xiaoyu Shi and Qifeng Liao *
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Entropy 2023, 25(2), 225; https://doi.org/10.3390/e25020225
Submission received: 24 December 2022 / Revised: 21 January 2023 / Accepted: 21 January 2023 / Published: 24 January 2023
(This article belongs to the Special Issue Advances in Multiuser Information Theory)

Round 1

Reviewer 1 Report

The paper describes an interesting approach on tensor completion. Although it presents valuable practical results, the theoretical contributions are presented in a somewhat fuzzy manner. The authors should try to elaborate more on the theory presented in section 4.

Some other issues should also be addressed. Examples:
=> Consider replacing some expressions with more formal/clear language -> "are in urgent need" or "is directly up to", "but", etc.
=> "This section is to summarize" -> "This section summarizes"
=> Consider merging subsection 4.3 into 4.2, or expanding it in order to properly emphasize the author's contributions. It seems to be too short and somewhat forced.
=> Please consider introducing the abbreviation "RATC-TD" when it first appears.
=> Maybe the first paragraph of sub-section 5.1 should be part of the theoretical content presented in the previous section.
=> Please check on some missing commas.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Pleasee see the attachment. 

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

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