Index of /diffusion-data/20210816_143147/Result

[ICO]NameLast modifiedSizeDescription

[PARENTDIR]Parent Directory  -  
[   ]__SHOW_1__1 randomize GS3: diffusion from AC5MedExcl to GS3.npy2021-08-16 14:36 928  
[IMG]__SHOW_1__1 randomize GS3: diffusion from AC5MedExcl to GS3.png2021-08-16 14:36 22K 
[   ]__SHOW_1__2 randomizeAC5MedExcl: diffusion from AC5MedExcl to GS3.npy2021-08-16 14:36 928  
[IMG]__SHOW_1__2 randomizeAC5MedExcl: diffusion from AC5MedExcl to GS3.png2021-08-16 14:36 21K 
[IMG]__SHOW_1__3 Diffusion value distribution: from AC5MedExcl to GS3.png2021-08-16 14:36 59K 
[   ]__SHOW_1__3 Diffusion value distribution: from AC5MedExcl to GS3_Experiment.npy2021-08-16 14:36 752  
[   ]__SHOW_1__3 Diffusion value distribution: from AC5MedExcl to GS3_Randomize AC5MedExcl (degree-matched).npy2021-08-16 14:36 61K 
[   ]__SHOW_1__3 Diffusion value distribution: from AC5MedExcl to GS3_Randomize AC5MedExcl (uniform).npy2021-08-16 14:36 61K 
[   ]__SHOW_1__3 Diffusion value distribution: from AC5MedExcl to GS3_Randomize GS3 (degree-matched).npy2021-08-16 14:36 61K 
[   ]__SHOW_1__3 Diffusion value distribution: from AC5MedExcl to GS3_Randomize GS3 (uniform).npy2021-08-16 14:36 61K 
[   ]__SHOW_1_ from AC5MedExcl to GS3ROC2021-08-16 14:34 8.3K 
[IMG]__SHOW_1_ from AC5MedExcl to GS3 ROC.png2021-08-16 14:34 26K 
[   ]__SHOW_2__1 randomize AC5Med: diffusion from GS3Excl to AC5Med.npy2021-08-16 14:38 928  
[IMG]__SHOW_2__1 randomize AC5Med: diffusion from GS3Excl to AC5Med.png2021-08-16 14:38 20K 
[   ]__SHOW_2__2 randomizeGS3Excl: diffusion from GS3Excl to AC5Med.npy2021-08-16 14:38 928  
[IMG]__SHOW_2__2 randomizeGS3Excl: diffusion from GS3Excl to AC5Med.png2021-08-16 14:38 21K 
[IMG]__SHOW_2__3 Diffusion value distribution: from GS3Excl to AC5Med.png2021-08-16 14:38 56K 
[   ]__SHOW_2__3 Diffusion value distribution: from GS3Excl to AC5Med_Experiment.npy2021-08-16 14:38 1.6K 
[   ]__SHOW_2__3 Diffusion value distribution: from GS3Excl to AC5Med_Randomize AC5Med (degree-matched).npy2021-08-16 14:38 146K 
[   ]__SHOW_2__3 Diffusion value distribution: from GS3Excl to AC5Med_Randomize AC5Med (uniform).npy2021-08-16 14:38 146K 
[   ]__SHOW_2__3 Diffusion value distribution: from GS3Excl to AC5Med_Randomize GS3Excl (degree-matched).npy2021-08-16 14:38 146K 
[   ]__SHOW_2__3 Diffusion value distribution: from GS3Excl to AC5Med_Randomize GS3Excl (uniform).npy2021-08-16 14:38 146K 
[   ]__SHOW_2_ from GS3Excl to AC5MedROC2021-08-16 14:36 19K 
[IMG]__SHOW_2_ from GS3Excl to AC5Med ROC.png2021-08-16 14:36 27K 
[TXT]diffusion_result.txt2021-08-16 14:49 2.3K 
[DIR]figures/2021-08-16 14:49 -  
[TXT]from AC5MedExcl to GS3.txt2021-08-16 14:34 569K 
[TXT]from AC5MedExcl to GS3Excl.txt2021-08-16 14:38 569K 
[   ] from AC5MedExcl to GS3ExclROC2021-08-16 14:38 8.1K 
[IMG] from AC5MedExcl to GS3Excl ROC.png2021-08-16 14:38 25K 
[TXT]from AC5MedExcl to Overlap.txt2021-08-16 14:44 569K 
[   ] from AC5MedExcl to OverlapROC2021-08-16 14:44 1.0K 
[IMG] from AC5MedExcl to Overlap ROC.png2021-08-16 14:44 24K 
[TXT]from GS3Excl to AC5Med.txt2021-08-16 14:36 576K 
[TXT]from GS3Excl to AC5MedExcl.txt2021-08-16 14:41 576K 
[   ] from GS3Excl to AC5MedExclROC2021-08-16 14:41 18K 
[IMG] from GS3Excl to AC5MedExcl ROC.png2021-08-16 14:41 27K 
[TXT]from GS3Excl to Overlap.txt2021-08-16 14:45 576K 
[   ] from GS3Excl to OverlapROC2021-08-16 14:45 702  
[IMG] from GS3Excl to Overlap ROC.png2021-08-16 14:45 24K 
[TXT]from Overlap to Exclus.txt2021-08-16 14:47 587K 
[   ] from Overlap to ExclusROC2021-08-16 14:47 25K 
[IMG] from Overlap to Exclus ROC.png2021-08-16 14:47 26K 
[DIR]ranking/2021-08-16 14:49 -  
[DIR]raw_data/2021-08-16 14:49 -  

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