Answers: zenoto referenced

Methode/answerToReview.tex

@@ -34,8 +34,9 @@ We would like to thank the editors and reviewers for their work and
 for their constructive comments, questions and suggestions.
 Because the paper already reaches the 10 pages limit, and in order to
 avoid removal of possibly valuable contents for paper understanding,
-complementary data are added to the github, that is referenced in the paper
-({\tt https://github.com/evenp/FBSD}).
+complementary data are available in a public document
+({\tt http://doi.org/10.5281/zenodo.3277091}), that is referenced in the
+revised paper.
 A detailed list of the changes is given below with also some specific
 answers to raised questions.
 {\color{blue} \bf Our paper is attached to our answer and the proposed
@@ -124,14 +125,19 @@ considerations in the paper.
 that were used in the experiments and the performance of both versions of
 the method obtained on them ?
 \begin{answer}
-Due to page limitations (the organizers rather suggested us to add
-complementary materials in a referenced web page), we could not add any
-figure nor respective performance result in the paper. However, a couple
-of examples of synthesized images is already available in the mentioned
-github, and we have completed the table with associated results.
+Due to page limitations, we could not add any figure nor respective
+performance result in the paper.
+As suggested by the organizers, complementary materials have been put in
+a public document ({\tt http://doi.org/10.5281/zenodo.3277091}), that is
+referenced in the paper.
+It provides a couple of examples of synthesized images, that were previously
+contained in the mentioned github, and we have completed the table with
+associated results.
 In accordance to the measured standard deviations obtained on the whole
 set of 1000 randomly generated images, large variations can be observed
-in such results on individual images.
+in such results on individual images. \\
+The github ({\small{\url{https://github.com/evenp/FBSD}}}) is now focused
+on the up-to-date source code of the detector.
 \end{answer}
 
 \item What is understood from the paper is the performance results presented
@@ -184,9 +190,9 @@ Unfortunately, we have no more left space to extend Fig. 5, where images
 are already quite small.
 It would maybe be possible to add one line in the table, but the interest is
 weak in lack of the associated image. \\
-We have added all the required informations in the github
-(https://github.com/evenp/FBSD), with the completed
-table (T, N and L values were already available, along with mean thickness W).
+We have added all the required informations in the public document
+({\tt http://doi.org/10.5281/zenodo.3277091}), with the completed table
+(T, N and L/N values were already available, along with mean thickness W).
 We notice that achieved values have less meaning here, because as explained
 in the paper, the lines detected by the former method are more likely to
 incorporate spurious points, that artificially grows the width and length
@@ -204,6 +210,7 @@ Thanks for this relevant suggestion. The caption is now completed.
 \end{itemize}
 \end{itemize}
 
+\newpage
 \item {\bf 4. Paper rating}
 \begin{itemize}
 \item Borderline