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License: MIT

51 to 60 of 543 Results

README.md Jan 30, 2026 - Replication Code for: "From Constrictor to Serpent: Investigating the Threat of Cache Poisoning in the Python Ecosystem" Markdown Text - 1.3 KB - MD5: 239ff821bb2060572e14a3636cfe59ad Documentation
scan_packages_for_cache_files.py Jan 30, 2026 - Replication Code for: "From Constrictor to Serpent: Investigating the Threat of Cache Poisoning in the Python Ecosystem" Python Source Code - 5.8 KB - MD5: 4895e05b5d908a517f88371c76eb3bf4 Code
uv.lock Jan 30, 2026 - Replication Code for: "From Constrictor to Serpent: Investigating the Threat of Cache Poisoning in the Python Ecosystem" Unknown - 16.2 KB - MD5: 596279b871d705276c689a16adfc5115
Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction" Jan 26, 2026 Gounoue, Steve, 2026, "Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction"", https://doi.org/10.60507/FK2/DRYP80, bonndata, V2 In this repository, you can find the code to train and evaluate SCANNER+, a novel neighborhood-based self-enrichment approach for traffic speed prediction. SCANNER+ learns effective node representations in dynamic road traffic settings. This work extends SCANNER, which utilizes correlation-based pattern detection and a self-enrichment mechanism.
.gitignore Jan 26, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction" Plain Text - 3.4 KB - MD5: be85f81e6cc8066629a0464226450c3c
LICENSE Jan 26, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction" Plain Text - 1.0 KB - MD5: 9166a54d6b45565ba0e1420c2de7fdf0
README.md Jan 26, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction" Markdown Text - 4.1 KB - MD5: e0d58f8633a84bea05fec828fc1e5f07
config.py Jan 26, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction" Python Source Code - 4.9 KB - MD5: 0389a89900e28058294d79ee957393cf
correlations.py Jan 26, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction" Python Source Code - 4.1 KB - MD5: 3dafcd83c5833accf319e6363b0521c4
loader.py Jan 26, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction" Python Source Code - 9.6 KB - MD5: 0bc47c5210de4b0479c71c968b9aadb9

README.md

Jan 30, 2026 - Replication Code for: "From Constrictor to Serpent: Investigating the Threat of Cache Poisoning in the Python Ecosystem"

Markdown Text - 1.3 KB -

Documentation

scan_packages_for_cache_files.py

Jan 30, 2026 - Replication Code for: "From Constrictor to Serpent: Investigating the Threat of Cache Poisoning in the Python Ecosystem"

Python Source Code - 5.8 KB -

Code

uv.lock

Jan 30, 2026 - Replication Code for: "From Constrictor to Serpent: Investigating the Threat of Cache Poisoning in the Python Ecosystem"

Unknown - 16.2 KB -

Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction"

Jan 26, 2026

Gounoue, Steve, 2026, "Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction"", https://doi.org/10.60507/FK2/DRYP80, bonndata, V2

In this repository, you can find the code to train and evaluate SCANNER+, a novel neighborhood-based self-enrichment approach for traffic speed prediction. SCANNER+ learns effective node representations in dynamic road traffic settings. This work extends SCANNER, which utilizes correlation-based pattern detection and a self-enrichment mechanism.

.gitignore

Jan 26, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction"

Plain Text - 3.4 KB -

LICENSE

Jan 26, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction"

Plain Text - 1.0 KB -

README.md

Jan 26, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction"

Markdown Text - 4.1 KB -

config.py

Jan 26, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction"

Python Source Code - 4.9 KB -