Deepct: Tomographic combinatorial testing for deep learning systems
Deep learning (DL) has achieved remarkable progress over the past decade and has been
widely applied to many industry domains. However, the robustness of DL systems recently …
widely applied to many industry domains. However, the robustness of DL systems recently …
DeepCT: Tomographic Combinatorial Testing for Deep Learning Systems
L Ma, F Juefei-Xu, M Xue, B Li, L Li, Y Liu… - 2019 IEEE 26th …, 2019 - computer.org
Deep learning (DL) has achieved remarkable progress over the past decade and has been
widely applied to many industry domains. However, the robustness of DL systems recently …
widely applied to many industry domains. However, the robustness of DL systems recently …
[引用][C] DeepCT: Tomographic Combinatorial Testing for Deep Learning Systems
L Ma, F Juefei-Xu, M Xue, B Li, L Li, Y Liu… - 2019 IEEE 26th …, 2019 - cir.nii.ac.jp
DeepCT: Tomographic Combinatorial Testing for Deep Learning Systems | CiNii Research
CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データを …
CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データを …
DeepCT: tomographic combinatorial testing for deep learning systems
L Ma, F Juefei-Xu, M Xue, B Li, L Li… - … on Software Analysis …, 2019 - researchers.mq.edu.au
Deep learning (DL) has achieved remarkable progress over the past decade and has been
widely applied to many industry domains. However, the robustness of DL systems recently …
widely applied to many industry domains. However, the robustness of DL systems recently …
[PDF][PDF] DeepCT: Tomographic Combinatorial Testing for Deep Learning Systems
L Ma, F Juefei-Xu, M Xue, B Li, L Li, Y Liu, J Zhao - lilicoding.github.io
Deep learning (DL) has achieved remarkable progress over the past decade and has been
widely applied to many industry domains. However, the robustness of DL systems recently …
widely applied to many industry domains. However, the robustness of DL systems recently …
DeepCT: Tomographic Combinatorial Testing for Deep Learning Systems
L Ma, F Juefei-Xu, M Xue, B Li, L Li… - 26th IEEE International …, 2019 - experts.illinois.edu
Deep learning (DL) has achieved remarkable progress over the past decade and has been
widely applied to many industry domains. However, the robustness of DL systems recently …
widely applied to many industry domains. However, the robustness of DL systems recently …
DeepCT: tomographic combinatorial testing for deep learning systems
L Ma, F Juefei-Xu, M Xue, B Li, L Li… - … on Software Analysis …, 2019 - research.monash.edu
Deep learning (DL) has achieved remarkable progress over the past decade and has been
widely applied to many industry domains. However, the robustness of DL systems recently …
widely applied to many industry domains. However, the robustness of DL systems recently …
[PDF][PDF] DeepCT: Tomographic Combinatorial Testing for Deep Learning Systems
L Ma, F Juefei-Xu, M Xue, B Li, L Li, Y Liu, J Zhao - stap.ait.kyushu-u.ac.jp
Deep learning (DL) has achieved remarkable progress over the past decade and has been
widely applied to many industry domains. However, the robustness of DL systems recently …
widely applied to many industry domains. However, the robustness of DL systems recently …
[PDF][PDF] DeepCT: Tomographic Combinatorial Testing for Deep Learning Systems
L Ma, F Juefei-Xu, M Xue, B Li, L Li, Y Liu, J Zhao - xujuefei.com
Deep learning (DL) has achieved remarkable progress over the past decade and has been
widely applied to many industry domains. However, the robustness of DL systems recently …
widely applied to many industry domains. However, the robustness of DL systems recently …
DeepCT: Tomographic Combinatorial Testing for Deep Learning Systems
L Ma, F Juefei-Xu, M Xue, B Li… - 26th IEEE …, 2019 - kyushu-u.elsevierpure.com
Deep learning (DL) has achieved remarkable progress over the past decade and has been
widely applied to many industry domains. However, the robustness of DL systems recently …
widely applied to many industry domains. However, the robustness of DL systems recently …