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1 to 10 of 199 Results
Jan 29, 2024 - Safe ML
Yuhas, Michael John; Easwaran, Arvind, 2024, "Replication Data for: Co-Design of Out-of-Distribution Detectors for Autonomous Emergency Braking Systems", https://doi.org/10.21979/N9/YIOFK8, DR-NTU (Data), V1
Replication Data for: Co-Design of Out-of-Distribution Detectors for Autonomous Emergency Braking Systems
Jan 23, 2024 - LYU Mingzhi
Lyu, Mingzhi; Huang, Yi; Kong, Adams Wai-Kin, 2024, "Related Data for: Adversarial Attack for Robust Watermark Protection Against Inpainting-based and Blind Watermark Removers", https://doi.org/10.21979/N9/JNH3P4, DR-NTU (Data), V1
This dataset contains the main codes for the paper "Adversarial Attack for Robust Watermark Protection Against Inpainting-based and Blind Watermark Removers", which proposes a method to protect visible watermark on images against deep-learning-based watermark removers.
LYU Mingzhi(Nanyang Technological University)
Jan 23, 2024
Appointment: PhD student Research topics: • Adversarial Examples for Proactively Protecting Images against DeepFake and DeepNude
Jan 23, 2024 - XU Shifeng
Xu, Shifeng; Kong, Adams Wai Kin, 2024, "Basal Cell Carcinoma by Reflectance Confocal Microscopy images", https://doi.org/10.21979/N9/U4FPB1, DR-NTU (Data), V1
Classification on reflectance confocal microscopy images of basal cell carcinoma.
XU Shifeng(Nanyang Technological University)
Jan 23, 2024
Appointment: PhD student
Geopolitical Data Science(Nanyang Technological University)
Dec 26, 2023Anwitaman Datta
Datasets used for using data science tools to study geopolitics
Dec 18, 2023 - Luo Xiangzhong
Luo, Xiangzhong; Liu, Weichen, 2023, "Related Data for: Pearls Hide Behind Linearity: Simplifying Deep Convolutional Networks for Embedded Hardware Systems via Linearity Grafting", https://doi.org/10.21979/N9/SJX3HR, DR-NTU (Data), V1
The related data for "Pearls Hide Behind Linearity: Simplifying Deep Convolutional Networks for Embedded Hardware Systems via Linearity Grafting".
Dec 18, 2023 - Zhu Shien
Zhu, Shien; Huai, Shuo; Xiong, Guochu; Liu, Weichen, 2023, "Replication Data for: iMAT: Energy-Efficient In-Memory Acceleration of Ternary Neural Networks With Sparse Dot Product", https://doi.org/10.21979/N9/B4SIIN, DR-NTU (Data), V1, UNF:6:KboaxJ9ZX4FgcAqcXn8SqQ== [fileUNF]
This dataset contains the simulation environment, simulation results, and post-processing data for the iMAT paper published in ISLPED 2023.
Dec 15, 2023 - Peng Chen
Chen, Peng, 2023, "Related data for: Contention Minimized Bypassing in SMART NoC", https://doi.org/10.21979/N9/BPBOYK, DR-NTU (Data), V1
This dataset contains keycodes for the proposed algorithms in the paper.
Dec 14, 2023 - Zhu Shien
Zhu, Shien; Duong, H. K. Luan; Chen, Hui; Di, Liu; Liu, Weichen, 2023, "Replication Data for: FAT: An In-Memory Accelerator with Fast Addition for Ternary Weight Neural Networks", https://doi.org/10.21979/N9/DYKUPV, DR-NTU (Data), V1, UNF:6:UCCl9ySs+IN5trVkl2AGQQ== [fileUNF]
This dataset contains the codes, figures, and tables for the TCAD 2022 paper: FAT: An In-Memory Accelerator with Fast Addition for Ternary Weight Neural Networks.
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