From c8829966aec3e6d0ebf6f288c34bc87ff0ada3ae Mon Sep 17 00:00:00 2001 From: "jules@lens" Date: Thu, 30 May 2019 14:30:59 +0200 Subject: more brainwashing --- scraper/reports/doi_institutions_unattributed.csv | 1 + 1 file changed, 1 insertion(+) (limited to 'scraper/reports/doi_institutions_unattributed.csv') diff --git a/scraper/reports/doi_institutions_unattributed.csv b/scraper/reports/doi_institutions_unattributed.csv index 4ad88ade..775c3cf7 100644 --- a/scraper/reports/doi_institutions_unattributed.csv +++ b/scraper/reports/doi_institutions_unattributed.csv @@ -2471,6 +2471,7 @@ e68c133947bbf14834f5353126ae85cc048642db,A Memory Network Approach for Story-Bas 9f723469b6634a7d08d3b888e23421e873c95617,Generative Image Inpainting with Contextual Attention 9fd7d9e982fc2c0710a25f4df568d35262deda8c,A Unified Video Text Detection Method with Network Flow 9fab78015e6e91ba7241a923222acd6c576c6e27,Clothes Advertising by Targeting Principal Actors in Video +9f25b9efd09cc08c1ae14f301c90b903614968d8,Deep People Detection: A Comparative Study of SSD and LSTM-decoder 9f62ac43a1086c22b9a3d9f192c975d1a5a4b31f,Lighting Analysis and Texture Modification of 3D Human Face Scans 9f259c58034279e73af473f1f47d3ae3dadaf599,An SVM Based Skin Disease Identification Using Local Binary Patterns a92c207031b0778572bf41803dba1a21076e128b,Unobtrusive Students' Engagement Analysis in Computer Science Laboratory Using Deep Learning Techniques -- cgit v1.2.3-70-g09d2