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161 to 170 of 223 Results
Replication Data for: Finding Permission Bugs in Smart Contracts with Role Mining
May 23, 2022 - Software Reliability and Security Lab
Liu, Ye; Li, Yi; Lin, Shang-Wei; Artho, Cyrille, 2022, "Replication Data for: Finding Permission Bugs in Smart Contracts with Role Mining", https://doi.org/10.21979/N9/MBHBCI, DR-NTU (Data), V1
Smart contracts deployed on permissionless blockchains, such as Ethereum, are accessible to any user in a trustless environment. Therefore, most smart contract applications implement access control policies to protect their valuable assets from unauthorized accesses. A difficulty...
Processed version of C-MAPSS dataset
May 12, 2022 - KWOH Chee Keong
Ragab, Mohamed, 2022, "Processed version of C-MAPSS dataset", https://doi.org/10.21979/N9/FMUP9M, DR-NTU (Data), V1
C-MAPSS is a simulated turbofan engine dataset that consists of four data subsets with different operating conditions and fault modes denoted as FD001, FD002, FD003, and FD004.
Replication Data for: iMAD: An In-Memory Accelerator for AdderNet with Efficient 8-bit Addition and Subtraction Operations
Replication Data for: iMAD: An In-Memory Accelerator for AdderNet with Efficient 8-bit Addition and Subtraction Operations
May 12, 2022 - Zhu Shien
Zhu, Shien; Li, Shiqing; Liu, Weichen, 2022, "Replication Data for: iMAD: An In-Memory Accelerator for AdderNet with Efficient 8-bit Addition and Subtraction Operations", https://doi.org/10.21979/N9/JNFW9P, DR-NTU (Data), V2, UNF:6:L3+xW/BxBE6fYNWBm4ta6Q== [fileUNF]
The simulation code, experiment results, and graphs used in the GLSVLSI 2022 paper: iMAD: An In-Memory Accelerator for AdderNet with Efficient 8-bit Addition and Subtraction Operations
Replication Data for: Misleading the Covid-19 vaccination discourse on Twitter: An exploratory study of infodemic around the pandemic
May 11, 2022 - Anwitaman Datta
Sharma, Shakshi; Sharma, Rajesh; Datta, Anwitaman, 2022, "Replication Data for: Misleading the Covid-19 vaccination discourse on Twitter: An exploratory study of infodemic around the pandemic", https://doi.org/10.21979/N9/QMLIJQ, DR-NTU (Data), V1
Two files are provided. Each contain Tweet ID, Label pairs. Label 1 indicates misleading tweets, while label 0 is used otherwise. One file contains 1500 manually annotated entries, while the other contains 114,635 where the labels are predicted algorithmically (see accompanying p...
Replication Data for: TAB: Unified and Optimized Ternary, Binary and Mixed-Precision Neural Network Inference on the Edge
May 10, 2022 - Zhu Shien
Zhu, Shien; Duong, H. K. Luan; Liu, Weichen, 2022, "Replication Data for: TAB: Unified and Optimized Ternary, Binary and Mixed-Precision Neural Network Inference on the Edge", https://doi.org/10.21979/N9/RZ75BY, DR-NTU (Data), V1, UNF:6:Md7is6scgmHZ4O3PtUuAOg== [fileUNF]
The TAB experiment code running on ARM CPU, x86 CPU, and Nvidia GPU.
Related data for GLIMG: Global and local item graphs for top-N recommender systems
Apr 23, 2022 - Lin Zhuoyi
Lin, Zhuoyi, 2022, "Related data for GLIMG: Global and local item graphs for top-N recommender systems", https://doi.org/10.21979/N9/NRRVDW, DR-NTU (Data), V2
GLIMG: Global and local item graphs for top-N recommender systems
Related Data for COMET: Convolutional Dimension Interaction for Collaborative Filtering
Apr 23, 2022 - Lin Zhuoyi
Lin, Zhuoyi, 2022, "Related Data for COMET: Convolutional Dimension Interaction for Collaborative Filtering", https://doi.org/10.21979/N9/TO2HBX, DR-NTU (Data), V2
Latent factor models play a dominant role among recommendation techniques. However, most of the existing latent factor models assume both historical interactions and embedding dimensions are independent of each other, and thus regrettably ignore the high-order interaction informa...
Model files for fusedchat
Apr 7, 2022 - Tom Young
Young, Tom, 2022, "Model files for fusedchat", https://doi.org/10.21979/N9/QWEBOS, DR-NTU (Data), V3
Model files for fusedchat
Related data for:Optimized Data Reuse via Reordering for Sparse Matrix-Vector Multiplication on FPGAs
Mar 26, 2022 - Li Shiqing
Li, Shiqing; Liu, Weichen, 2022, "Related data for:Optimized Data Reuse via Reordering for Sparse Matrix-Vector Multiplication on FPGAs", https://doi.org/10.21979/N9/ATEYFB, DR-NTU (Data), V1
This dataset is related to our ICCAD work "Optimized Data Reuse via Reordering for Sparse Matrix-Vector Multiplication on FPGAs".
Preprocessed Epilepsy dataset
Mar 13, 2022 - TS-TCC_emadeldeen
Eldele, Emadeldeen, 2022, "Preprocessed Epilepsy dataset", https://doi.org/10.21979/N9/4PZQJ7, DR-NTU (Data), V2
Preprocessed files of Epilepsy dataset used in IJCAI-21 work "TS-TCC"
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