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camaramm / tep2py

A Python interface to the original Fortran program of the Tennessee Eastman Process (TEP) Control Test Problem
MIT License
13 stars 5 forks source link

Lacking of proper credits #3

Closed gmxavier closed 3 years ago

gmxavier commented 3 years ago

Mauricio, it would be nice that in your README.md you give proper credits to the original modification in the FORTRAN file made by me 3 years ago and available as a R package here. I read a paper recently that lacks the proper citation, maybe due to this fault. There is a disclaimer in the FORTRAN file indeed:

Users should cite this version using the following reference: G.M. Xavier and J.M. Seixas, "Fault Detection and Diagnosis in a Chemical Process using Long Short-Term Memory Recurrent Neural Network". In Proceedings 31st International Joint Conference on Neural Networks (IJCNN), (Rio de Janeiro, Brazil), IEEE, IEEE, July 2018. 8 pages, to appear

camaramm commented 3 years ago

@gmxavier, I'm sorry for any inconvenient it may have caused. I wasn't aware of any citing problems related to the modified Fortran version you have published. Please note that citation, as well as complete license information was included in commit https://github.com/camaramm/tep2py/commit/8605cc251c3f60390e8066324e8c2b0ad4979ef1.

Your suggestion was included in commit https://github.com/camaramm/tep2py/commit/112cd3134cbc4632f4c772d97872c0c6f175f785. I hope it helps proper citation of your work.