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Patrick Lavoisier Wapet
Scripts And Relevant Files
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38715ed1cd7b9ef8736e47a7f6884f54ac3f9102
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Created with Raphaël 2.2.0
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plot presenting R2 and dynamic score added
main
main
added functionnality to compute dynamic score as a function of the input data set
after adding the code to compute transitions
before the meeting, global validation tables and score generated
problem overview yed image has bieen builded for the paper
plot for the paper added
plot for the paper added
plot for the paper added
Merge branch 'main' of https://gitlab.liris.cnrs.fr/plwapet/scripts_and_relevant_files into main
before pulling the project when I start the paper
before the meeting with Son, after setting up the paper draft
latex template of the paper removed
latex template of the paper removed
latex template of the paper realized
implementing lesson learned, but interrupted to do a chechpoint of the work
developping functions for other lesson learned validation, still debugging
lesson learned formating in csv file partially automated, some lesson learned validated
lesson learned formating in csv file partially automated, some lesson learned validated
lesson learned formating in csv file partially automated, some lesson learned validated
experiment databases correctly filled and queried, continuing lesson learned validation
almost finished with data insertion in sqlite data base, starting lesson learned validation
starting creating sqlite data base for model validation
best configuration estimation, implemented
best configuration estimation, implemented
continuing experiments on samsung galaxy s8 without free frequency level, starting implementation of kernel ridge estimation on all possible configuration. The last implementation is to see the best configuration
continuing experiments on samsung galaxy s8 without free frequency level, starting implementation of kernel ridge estimation on all possible configuration. The last implementation is to see the best configuration
continuing experiments on samsung galaxy s8 without free frequency level, starting implementation of kernel ridge estimation on all possible configuration. The last implementation is to see the best configuration
continuing experiments on samsung galaxy s8 without free frequency level, starting implementation of kernel ridge estimation on all possible configuration. The last implementation is to see the best configuration
continuing experiments on samsung galaxy s8 without free frequency level, starting implementation of kernel ridge estimation on all possible configuration. The last implementation is to see the best configuration
continuing experiments on samsung galaxy s8 without free frequency level, starting implementation of kernel ridge estimation on all possible configuration. The last implementation is to see the best configuration
before vlad meeting
before meeting with vlad, after reviewing lesson learned
first version of lesson learned correction, achieved
first version of lesson learned correction, achieved
first version of lesson learned correction, achieved
after having realized 7/8 on lesson learner correction
reviewing lesson learned with new graphs
finished with strange cases analysis with big and medium cores at meddle frequency, reviewing lesson learned based on f simulation not the derivative
before testing strange cases with big and medium cores at the mean frequency
before the meeting, before resolving conflict
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