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Article
Peer-Review Record

Feature and Language Selection in Temporal Symbolic Regression for Interpretable Air Quality Modelling

Algorithms 2021, 14(3), 76; https://doi.org/10.3390/a14030076
by Estrella Lucena-Sánchez 1,2,†, Guido Sciavicco 1,*,† and Ionel Eduard Stan 1,3,†
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Algorithms 2021, 14(3), 76; https://doi.org/10.3390/a14030076
Submission received: 7 February 2021 / Revised: 21 February 2021 / Accepted: 23 February 2021 / Published: 26 February 2021
(This article belongs to the Special Issue Supervised and Unsupervised Classification Algorithms)

Round 1

Reviewer 1 Report

The research objective and hypothesis are not clearly defined. The authors present an extensive and interesting review of the literature, point out the advantages and disadvantages of the applied solutions, but I would expect them to specify exactly what their research refers to and what problems they want to solve. Why exactly their solution may be better? Which negative elements does it eliminate? This is what, in my opinion, is missing from the introduction.

The results are presented in a correct and interesting manner and the summary and discussion are appropriate. The conclusions are also complete. I would recommend to highlight the issues included therein also in the introduction.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Please see the attached pdf file

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

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