College of Computing and Data Science (CCDS)

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1,701 to 1,710 of 5,121 Results

val.tar.xz Jul 3, 2024 - Replication Data for: Co-Design of Out-of-Distribution Detectors for Autonomous Emergency Braking Systems XZ Archive - 1.5 GB - MD5: 2fbcc919f84d6383cd3f56df99bff739
Replication Data for: Design Methodology for Deep Out-of-Distribution Detectors in Real-Time Cyber-Physical Systems Jul 2, 2024 - Safe ML Yuhas, Michael; Ng, Daniel Jun Xian; Easwaran, Arvind, 2024, "Replication Data for: Design Methodology for Deep Out-of-Distribution Detectors in Real-Time Cyber-Physical Systems", https://doi.org/10.21979/N9/UZY54Q, DR-NTU (Data), V1 Replication Data for: Design Methodology for Deep Out-of-Distribution Detectors in Real-Time Cyber-Physical Systems
calibration.tar.xz Jul 2, 2024 - Replication Data for: Design Methodology for Deep Out-of-Distribution Detectors in Real-Time Cyber-Physical Systems XZ Archive - 140.5 MB - MD5: 9e10fc932878e1ab0903dc56bcd9916c
README.md Jul 2, 2024 - Replication Data for: Design Methodology for Deep Out-of-Distribution Detectors in Real-Time Cyber-Physical Systems Markdown Text - 3.6 KB - MD5: 7b09ce68bb17fea19675c4a09af60885
test.tar.xz Jul 2, 2024 - Replication Data for: Design Methodology for Deep Out-of-Distribution Detectors in Real-Time Cyber-Physical Systems XZ Archive - 706.2 MB - MD5: 03539df8d06d419a2e9b35f01dc686f7
train.tar.xz Jul 2, 2024 - Replication Data for: Design Methodology for Deep Out-of-Distribution Detectors in Real-Time Cyber-Physical Systems XZ Archive - 3.3 GB - MD5: f6c17b790f45caeab157982fb374c980
Replication Data for: Out of Distribution Reasoning by Weakly-Supervised Disentangled Logic Variational Autoencoder Jul 1, 2024 - Safe ML Yuhas, Michael; Rahiminasab, Zahra; Easwaran, Arvind, 2024, "Replication Data for: Out of Distribution Reasoning by Weakly-Supervised Disentangled Logic Variational Autoencoder", https://doi.org/10.21979/N9/0YI4HT, DR-NTU (Data), V1 Replication Data for: Out of Distribution Reasoning by Weakly-Supervised Disentangled Logic Variational Autoencoder
README.md Jul 1, 2024 - Replication Data for: Out of Distribution Reasoning by Weakly-Supervised Disentangled Logic Variational Autoencoder Markdown Text - 2.5 KB - MD5: 62df6ac715b762da48e9d397e104db01 Documentation
test.tar.xz Jul 1, 2024 - Replication Data for: Out of Distribution Reasoning by Weakly-Supervised Disentangled Logic Variational Autoencoder XZ Archive - 126.9 MB - MD5: 17c48fadafd39712a72f09a68954be7a
train.tar.xz Jul 1, 2024 - Replication Data for: Out of Distribution Reasoning by Weakly-Supervised Disentangled Logic Variational Autoencoder XZ Archive - 281.6 MB - MD5: d3148f4f44f3a4a4bfec304bd69e2b71

val.tar.xz

Jul 3, 2024 - Replication Data for: Co-Design of Out-of-Distribution Detectors for Autonomous Emergency Braking Systems

XZ Archive - 1.5 GB -

Replication Data for: Design Methodology for Deep Out-of-Distribution Detectors in Real-Time Cyber-Physical Systems

Jul 2, 2024 - Safe ML

Yuhas, Michael; Ng, Daniel Jun Xian; Easwaran, Arvind, 2024, "Replication Data for: Design Methodology for Deep Out-of-Distribution Detectors in Real-Time Cyber-Physical Systems", https://doi.org/10.21979/N9/UZY54Q, DR-NTU (Data), V1

Replication Data for: Design Methodology for Deep Out-of-Distribution Detectors in Real-Time Cyber-Physical Systems

calibration.tar.xz

Jul 2, 2024 - Replication Data for: Design Methodology for Deep Out-of-Distribution Detectors in Real-Time Cyber-Physical Systems

XZ Archive - 140.5 MB -

README.md

Jul 2, 2024 - Replication Data for: Design Methodology for Deep Out-of-Distribution Detectors in Real-Time Cyber-Physical Systems

Markdown Text - 3.6 KB -

test.tar.xz

Jul 2, 2024 - Replication Data for: Design Methodology for Deep Out-of-Distribution Detectors in Real-Time Cyber-Physical Systems

XZ Archive - 706.2 MB -

train.tar.xz

Jul 2, 2024 - Replication Data for: Design Methodology for Deep Out-of-Distribution Detectors in Real-Time Cyber-Physical Systems

XZ Archive - 3.3 GB -

Replication Data for: Out of Distribution Reasoning by Weakly-Supervised Disentangled Logic Variational Autoencoder

Jul 1, 2024 - Safe ML

Yuhas, Michael; Rahiminasab, Zahra; Easwaran, Arvind, 2024, "Replication Data for: Out of Distribution Reasoning by Weakly-Supervised Disentangled Logic Variational Autoencoder", https://doi.org/10.21979/N9/0YI4HT, DR-NTU (Data), V1

Replication Data for: Out of Distribution Reasoning by Weakly-Supervised Disentangled Logic Variational Autoencoder

README.md

Jul 1, 2024 - Replication Data for: Out of Distribution Reasoning by Weakly-Supervised Disentangled Logic Variational Autoencoder

Markdown Text - 2.5 KB -

Documentation

test.tar.xz

Jul 1, 2024 - Replication Data for: Out of Distribution Reasoning by Weakly-Supervised Disentangled Logic Variational Autoencoder

XZ Archive - 126.9 MB -

train.tar.xz

Jul 1, 2024 - Replication Data for: Out of Distribution Reasoning by Weakly-Supervised Disentangled Logic Variational Autoencoder

XZ Archive - 281.6 MB -

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