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191 to 200 of 223 Results

Seismic localization dataset Apr 19, 2021 - PhyAug Luo, Wenjie, 2021, "Seismic localization dataset", https://doi.org/10.21979/N9/KFMI1K, DR-NTU (Data), V2 Dataset used in seismic localization case study in IPSN21 paper: PhyAug: Physics-Directed Data Augmentation for Deep Sensing Model Transfer in Cyber-Physical Systems
Transcription and Exon datasets for GM12878,HeLaS3, and K562 Apr 1, 2021 - Zhang Yu Zhang, Yu, 2021, "Transcription and Exon datasets for GM12878,HeLaS3, and K562", https://doi.org/10.21979/N9/NWVB5V, DR-NTU (Data), V1 transcription and Exon feature matrix for GM12878, HeLaS3, and K562
Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices Dec 21, 2020 - Zhu Shien Zhu, Shien; Duong, H. K. Luan; Liu, Weichen, 2020, "Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices", https://doi.org/10.21979/N9/XEH3D1, DR-NTU (Data), V1, UNF:6:5DOBB66c624HMnkRD7Qw9g== [fileUNF] Accepted as a conference paper by IEEE International Conference on Parallel and Distributed Systems (ICPADS) 2020.
A directed Bitcoin subgraph with 209 nodes Oct 28, 2020 - Bitcoin Graph Analytics Oggier, Frederique Elise; Datta, Anwitaman, 2020, "A directed Bitcoin subgraph with 209 nodes", https://doi.org/10.21979/N9/5CFO3I, DR-NTU (Data), V1 This file contains a list of edges, specified by two Bitcoin addresses.
Replication Data for: SGDNet: An End-to-End Saliency-Guided Deep Neural Network for No-Reference Image Quality Assessment Oct 26, 2020 - Yang Sheng Yang, Sheng, 2020, "Replication Data for: SGDNet: An End-to-End Saliency-Guided Deep Neural Network for No-Reference Image Quality Assessment", https://doi.org/10.21979/N9/H38R0Z, DR-NTU (Data), V1 This repository contains the reference code for our ACM MM 2019 paper. Its GitHub link is https://github.com/ysyscool/SGDNet
Replication Data for: A Dilated Inception Network for Visual Saliency Prediction Oct 26, 2020 - Yang Sheng Yang, Sheng, 2020, "Replication Data for: A Dilated Inception Network for Visual Saliency Prediction", https://doi.org/10.21979/N9/OIYLBK, DR-NTU (Data), V1 This repository contains the reference code for our TMM paper. The related Github link is https://github.com/ysyscool/DINet
Panda images dataset Sep 18, 2020 - Wai Kin Adams KONG Chen, Peng; Swarup, Pranjal; Matkowski, Wojciech Michal; Kong, Adams Wai Kin; Han, Su; Zhang, Zhihe; Rong, Hou, 2020, "Panda images dataset", https://doi.org/10.21979/N9/8CYVGF, DR-NTU (Data), V4 The data used in the study titled "A Study on Giant Panda Recognition Based on Images of a Large Proportion of Captive Pandas".
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".
Replication Data for: GenSlice: Generalized Semantic History Slicing Aug 21, 2020 - Software Reliability and Security Lab Zhu, Chenguang; Li, Yi; Rubin, Julia; Chechik, Marsha, 2020, "Replication Data for: GenSlice: Generalized Semantic History Slicing", https://doi.org/10.21979/N9/LPHCUS, DR-NTU (Data), V3 This dataset contains the raw experiment data and replication package for the ICSME'20 paper: "GenSlice: Generalized Semantic History Slicing". The replication package is also available at: https://github.com/Chenguang-Zhu/icsme20-artifact (2020-08-06)
Replication Data for: Towards Automated Verification of Smart Contract Fairness May 27, 2020 - Software Reliability and Security Lab Liu, Ye; Li, Yi; Lin, Shang-Wei, 2020, "Replication Data for: Towards Automated Verification of Smart Contract Fairness", https://doi.org/10.21979/N9/0BEVRT, DR-NTU (Data), V1 Software artifacts created for the paper titled "Towards Automated Verification of Smart Contract Fairness" accepted at FSE'20.

Seismic localization dataset

Apr 19, 2021 - PhyAug

Luo, Wenjie, 2021, "Seismic localization dataset", https://doi.org/10.21979/N9/KFMI1K, DR-NTU (Data), V2

Dataset used in seismic localization case study in IPSN21 paper: PhyAug: Physics-Directed Data Augmentation for Deep Sensing Model Transfer in Cyber-Physical Systems

Transcription and Exon datasets for GM12878,HeLaS3, and K562

Apr 1, 2021 - Zhang Yu

Zhang, Yu, 2021, "Transcription and Exon datasets for GM12878,HeLaS3, and K562", https://doi.org/10.21979/N9/NWVB5V, DR-NTU (Data), V1

transcription and Exon feature matrix for GM12878, HeLaS3, and K562

Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices

Dec 21, 2020 - Zhu Shien

Zhu, Shien; Duong, H. K. Luan; Liu, Weichen, 2020, "Replication Data for: XOR-Net: An Efficient Computation Pipeline for Binary Neural Network Inference on Edge Devices", https://doi.org/10.21979/N9/XEH3D1, DR-NTU (Data), V1, UNF:6:5DOBB66c624HMnkRD7Qw9g== [fileUNF]

Accepted as a conference paper by IEEE International Conference on Parallel and Distributed Systems (ICPADS) 2020.

A directed Bitcoin subgraph with 209 nodes

Oct 28, 2020 - Bitcoin Graph Analytics

Oggier, Frederique Elise; Datta, Anwitaman, 2020, "A directed Bitcoin subgraph with 209 nodes", https://doi.org/10.21979/N9/5CFO3I, DR-NTU (Data), V1

This file contains a list of edges, specified by two Bitcoin addresses.

Replication Data for: SGDNet: An End-to-End Saliency-Guided Deep Neural Network for No-Reference Image Quality Assessment

Oct 26, 2020 - Yang Sheng

Yang, Sheng, 2020, "Replication Data for: SGDNet: An End-to-End Saliency-Guided Deep Neural Network for No-Reference Image Quality Assessment", https://doi.org/10.21979/N9/H38R0Z, DR-NTU (Data), V1

This repository contains the reference code for our ACM MM 2019 paper. Its GitHub link is https://github.com/ysyscool/SGDNet

Replication Data for: A Dilated Inception Network for Visual Saliency Prediction

Oct 26, 2020 - Yang Sheng

Yang, Sheng, 2020, "Replication Data for: A Dilated Inception Network for Visual Saliency Prediction", https://doi.org/10.21979/N9/OIYLBK, DR-NTU (Data), V1

This repository contains the reference code for our TMM paper. The related Github link is https://github.com/ysyscool/DINet

Panda images dataset

Sep 18, 2020 - Wai Kin Adams KONG

Chen, Peng; Swarup, Pranjal; Matkowski, Wojciech Michal; Kong, Adams Wai Kin; Han, Su; Zhang, Zhihe; Rong, Hou, 2020, "Panda images dataset", https://doi.org/10.21979/N9/8CYVGF, DR-NTU (Data), V4

The data used in the study titled "A Study on Giant Panda Recognition Based on Images of a Large Proportion of Captive Pandas".

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".

Replication Data for: GenSlice: Generalized Semantic History Slicing

Aug 21, 2020 - Software Reliability and Security Lab

Zhu, Chenguang; Li, Yi; Rubin, Julia; Chechik, Marsha, 2020, "Replication Data for: GenSlice: Generalized Semantic History Slicing", https://doi.org/10.21979/N9/LPHCUS, DR-NTU (Data), V3

This dataset contains the raw experiment data and replication package for the ICSME'20 paper: "GenSlice: Generalized Semantic History Slicing". The replication package is also available at: https://github.com/Chenguang-Zhu/icsme20-artifact (2020-08-06)

Replication Data for: Towards Automated Verification of Smart Contract Fairness

May 27, 2020 - Software Reliability and Security Lab

Liu, Ye; Li, Yi; Lin, Shang-Wei, 2020, "Replication Data for: Towards Automated Verification of Smart Contract Fairness", https://doi.org/10.21979/N9/0BEVRT, DR-NTU (Data), V1

Software artifacts created for the paper titled "Towards Automated Verification of Smart Contract Fairness" accepted at FSE'20.

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