College of Computing and Data Science (CCDS)

This dataverse is a collection of the College of Computing and Data Science’s research data.

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4,151 to 4,160 of 4,319 Results

images.7z.006 Sep 18, 2020 - Panda images dataset Unknown - 1000.0 MB - MD5: f2eff4bc0a5413274d018e4e6b0fc72c The panda raw data which is a 12GB file is split into 13 parts. Download all parts and unarchive together using 7Zip.
images.7z.007 Sep 18, 2020 - Panda images dataset Unknown - 1000.0 MB - MD5: 4da7e04d15839494de36135dd55c4879 The panda raw data which is a 12GB file is split into 13 parts. Download all parts and unarchive together using 7Zip.
images.7z.008 Sep 18, 2020 - Panda images dataset Unknown - 1000.0 MB - MD5: e5a5cceec543aae0d758b97e90682062 The panda raw data which is a 12GB file is split into 13 parts. Download all parts and unarchive together using 7Zip.
images.7z.009 Sep 18, 2020 - Panda images dataset Unknown - 1000.0 MB - MD5: f3dca679c63b1ef3c210f6061d8ff256 The panda raw data which is a 12GB file is split into 13 parts. Download all parts and unarchive together using 7Zip.
images.7z.010 Sep 18, 2020 - Panda images dataset Unknown - 1000.0 MB - MD5: c06f9d08d48b9ec2ca0187968088eb3f The panda raw data which is a 12GB file is split into 13 parts. Download all parts and unarchive together using 7Zip.
images.7z.011 Sep 18, 2020 - Panda images dataset Unknown - 1000.0 MB - MD5: 7cc24e41400c90401c82e912ff7456f5 The panda raw data which is a 12GB file is split into 13 parts. Download all parts and unarchive together using 7Zip.
images.7z.012 Sep 18, 2020 - Panda images dataset Unknown - 1000.0 MB - MD5: 385259d923dfd2331da020f56d6d6353 The panda raw data which is a 12GB file is split into 13 parts. Download all parts and unarchive together using 7Zip.
images.7z.013 Sep 18, 2020 - Panda images dataset Unknown - 120.4 MB - MD5: ad4884fe16534ab72e7b446fcffd15ed The panda raw data which is a 12GB file is split into 13 parts. Download all parts and unarchive together using 7Zip.
Supplementary Materials for: Marble: Model-based Robustness Analysis of Stateful Deep Learning Systems Aug 26, 2020 - Software Reliability and Security Lab Du, Xiaoning; Li, Yi; Xie, Xiaofei; Ma, Lei; Liu, Yang; Zhao, Jianjun, 2020, "Supplementary Materials for: Marble: Model-based Robustness Analysis of Stateful Deep Learning Systems", https://doi.org/10.21979/N9/TTTSFK, DR-NTU (Data), V1 This supplementary material contains additional proofs for the paper: "Marble: Model-based Robustness Analysis of Stateful DeepLearning Systems".
MARBLE_appendix.pdf Aug 26, 2020 - Supplementary Materials for: Marble: Model-based Robustness Analysis of Stateful Deep Learning Systems Adobe PDF - 561.3 KB - MD5: 6e9098c1634463be20919cf4a3451b34 Additional proofs

images.7z.006