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201 to 210 of 229 Results
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
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.
Related data for: Heterogeneous Transfer Learning for Thermal Comfort Modeling
May 12, 2020 - Wen Yonggang
Hu, Weizheng; Li, Jie; Zhu, Chenxiao; Zhang, Wei; Wen, Yonggang, 2020, "Related data for: Heterogeneous Transfer Learning for Thermal Comfort Modeling", https://doi.org/10.21979/N9/56MTEH, DR-NTU (Data), V2, UNF:6:PfZTy8hHFxpEL725OduxrA== [fileUNF]
These datasets are collected for the GBIC project to conduct research about indoor human thermal comfort. The GBIC research project proposes to develop online thermal comfort models via a deep-learning approach and apply them to behavioral studies to drive “greener, smarter and h...
Thermal Image Guided Upsampling
Apr 6, 2020 - Teerawat Piriyatharawet
Piriyatharawet, Teerawat, 2020, "Thermal Image Guided Upsampling", https://doi.org/10.21979/N9/9JG8D3, DR-NTU (Data), V1, UNF:6:IuGM51Q8N4QLGePoc6I4EA== [fileUNF]
A low-resolution thermal imaging sensor becomes more affordable and is widely used in home applications. However, in order to understand detailed activities, a high-resolution thermal image is required. In this paper, we present an unsupervised deep learning framework for joint u...
Ping Pong Cognitive Test
Feb 20, 2020 - Zhang Hao
Zhang, Hao, 2020, "Ping Pong Cognitive Test", https://doi.org/10.21979/N9/BYHPL4, DR-NTU (Data), V1, UNF:6:fPeQc+N9s3uvQq0kgPGSWA== [fileUNF]
The questionnaire and cognitive test results of Ping Pong exergame experiments.
Four Bitcoin subgraphs for analysis of multi-input multi-output transactions
Nov 28, 2019 - Bitcoin Graph Analytics
Phetsouvanh, Silivanxay; Datta, Anwitaman; Oggier, Frederique Elise, 2019, "Four Bitcoin subgraphs for analysis of multi-input multi-output transactions", https://doi.org/10.21979/N9/9NK2DD, DR-NTU (Data), V3, UNF:6:ahxegYKI7zlK/Erq/3ui5Q== [fileUNF]
This dataset contains 3 transaction subgraphs of the Bitcoin network and 1 aggregated wallet address subgraph. The 3 transaction graphs correspond to the following 3 periods of 49-50 days each. Days are counted in the history of Bitcoin: - 6th April to 25 May 2013 (days 1550-1598...
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