Pinned Repositories
Ontolearn
Ontolearn is an open-source software library for explainable structured machine learning in Python. It learns OWL class expressions from positive and negative examples.
CauseNet
Towards a Causality Graph Extracted from the Web
cikm16-wdvd-classification
Wikidata Vandalism Detector 2016: Classification Component
cikm16-wdvd-feature-extraction
Wikidata Vandalism Detector 2016: Feature Extraction Component
Multi-Hop-Reasoning-in-Knowledge-Graphs-with-Literals
Ontolearn
Ontolearn is an open-source software library for explainable structured machine learning in Python. It learns OWL class expressions from positive and negative examples.
wsdmcup17-wdvd-classification
WSDM Cup 2017 Wikidata Vandalism Detector: Classification and Evaluation Component
wsdmcup17-wdvd-feature-extraction
WSDM Cup 2017 Wikidata Vandalism Detector: Feature Extraction Component
www19-fair-classification
WWW 2019 Paper: Debiasing Vandalism Detection Models at Wikidata: Classification and Evaluation Component
www19-fair-feature-extraction
WWW 2019 Paper: Debiasing Vandalism Detection Models at Wikidata: Feature Extraction Component
heindorf's Repositories
heindorf/cikm16-wdvd-feature-extraction
Wikidata Vandalism Detector 2016: Feature Extraction Component
heindorf/www19-fair-classification
WWW 2019 Paper: Debiasing Vandalism Detection Models at Wikidata: Classification and Evaluation Component
heindorf/www19-fair-feature-extraction
WWW 2019 Paper: Debiasing Vandalism Detection Models at Wikidata: Feature Extraction Component
heindorf/cikm16-wdvd-classification
Wikidata Vandalism Detector 2016: Classification Component
heindorf/wsdmcup17-wdvd-classification
WSDM Cup 2017 Wikidata Vandalism Detector: Classification and Evaluation Component
heindorf/CauseNet
Towards a Causality Graph Extracted from the Web
heindorf/wsdmcup17-wdvd-feature-extraction
WSDM Cup 2017 Wikidata Vandalism Detector: Feature Extraction Component
heindorf/Multi-Hop-Reasoning-in-Knowledge-Graphs-with-Literals
heindorf/Ontolearn
Ontolearn is an open-source software library for explainable structured machine learning in Python. It learns OWL class expressions from positive and negative examples.