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Steffen Schnitzer
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2010 – 2019
- 2019
- [c6]Wael Alkhatib, Steffen Schnitzer, Christoph Rensing:
Training-Less Multi-label Text Classification Using Knowledge Bases and Word Embeddings. KSEM (2) 2019: 97-104 - [c5]Steffen Schnitzer, Dominik Reis, Wael Alkhatib, Christoph Rensing
, Ralf Steinmetz
:
Preselection of documents for personalized recommendations of job postings based on word embeddings. SAC 2019: 1683-1686 - 2018
- [c4]Wael Alkhatib, Eid Araache, Christoph Rensing
, Steffen Schnitzer:
Ensuring Novelty and Transparency in Learning Resource-Recommendation Based on Deep Learning Techniques. EC-TEL 2018: 609-612 - 2017
- [i1]Steffen Schnitzer, Svenja Neitzel, Christoph Rensing:
From Task Classification Towards Similarity Measures for Recommendation in Crowdsourcing Systems. CoRR abs/1707.06562 (2017) - 2016
- [j2]Sebastian Schmidt, Steffen Schnitzer, Christoph Rensing
:
Text classification based filters for a domain-specific search engine. Comput. Ind. 78: 70-79 (2016) - [c3]Steffen Schnitzer, Svenja Neitzel, Sebastian Schmidt, Christoph Rensing:
Results of a Survey About the Perceived Task Similarities in Micro Task Crowdsourcing Systems. MSM@WWW,MUSE@PKDD/ECML 2016: 107-125 - [c2]Steffen Schnitzer, Svenja Neitzel, Sebastian Schmidt, Christoph Rensing:
Perceived Task Similarities for Task Recommendation in Crowdsourcing Systems. WWW (Companion Volume) 2016: 585-590 - 2014
- [j1]Steffen Schnitzer, Sebastian Schmidt, Christoph Rensing, Bettina Harriehausen-Mühlbauer:
Combining Active and Ensemble Learning for Efficient Classification of Web Documents. Polibits 49: 39-45 (2014) - [c1]Sebastian Schmidt, Steffen Schnitzer, Christoph Rensing
:
Domain-independent sentence type classification: examining the scenarios of scientific abstracts and scrum protocols. I-KNOW 2014: 5:1-5:8
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