Steffen Schnitzer
Steffen Schnitzer
Technische Universität Darmstadt - Multimedia Communications Lab
Verified email at - Homepage
Cited by
Cited by
Demands on task recommendation in crowdsourcing platforms-the worker’s perspective
S Schnitzer, C Rensing, S Schmidt, K Borchert, M Hirth, P Tran-Gia
CrowdRec Workshop, 2015
Text classification based filters for a domain-specific search engine
S Schmidt, S Schnitzer, C Rensing
Computers in Industry 78, 70-79, 2016
Perceived task similarities for task recommendation in crowdsourcing systems
S Schnitzer, S Neitzel, S Schmidt, C Rensing
Proceedings of the 25th International Conference Companion on World Wide Web …, 2016
Combining active and ensemble learning for efficient classification of web documents
S Schnitzer, S Schmidt, C Rensing, B Harriehausen-Miihlbauer
Polibits, 39-46, 2014
From task classification towards similarity measures for recommendation in crowdsourcing systems
S Schnitzer, S Neitzel, C Rensing
arXiv preprint arXiv:1707.06562, 2017
Impact of task recommendation systems in crowdsourcing platforms
K Borchert, M Hirth, S Schnitzer, C Rensing
FATREC Workshop on Responsible Recommendation Proceedings, 10, 2017
Preselection of documents for personalized recommendations of job postings based on word embeddings
S Schnitzer, D Reis, W Alkhatib, C Rensing, R Steinmetz
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 1683-1686, 2019
Domain-independent sentence type classification: examining the scenarios of scientific abstracts and scrum protocols
S Schmidt, S Schnitzer, C Rensing
Proceedings of the 14th International Conference on Knowledge Technologies …, 2014
Task Recommendation in Crowdsourcing Platforms
S Schnitzer
Technische Universität, 2019
Effective classification of ambiguous web documents incorporating human feedback efficiently
S Schnitzer, S Schmidt, C Rensing, B Harriehausen-Mühlbauer
Faculty of Computer Science, University of Applied Sciences Darmstadt …, 2013
Training-Less Multi-label Text Classification Using Knowledge Bases and Word Embeddings
W Alkhatib, S Schnitzer, C Rensing
Knowledge Science, Engineering and Management: 12th International Conference …, 2019
Ensuring Novelty and Transparency in Learning Resource-Recommendation Based on Deep Learning Techniques
W Alkhatib, E Araache, C Rensing, S Schnitzer
Lifelong Technology-Enhanced Learning: 13th European Conference on …, 2018
A Literature Review on the Design of Enterprise Crowdsourcing Platforms
S Schnitzer, N Islam, C Borg-Krebs, C Rensing
Tech. rep. KOM-TR-2017-02. Darmstadt, Germany: TU Darmstadt, 2017. url …, 0
and Christoph Rensing () Multimedia Communications Lab, Technische Universität Darmstadt, Darmstadt, Germany {Steffen. Schnitzer, Svenja. Neitzel, Sebastian. Schmidt
S Schnitzer
Behavioral Analytics in Social and Ubiquitous Environments: 6th …, 2019
Unsupervised Query-based Document Recommendation Using Deep Learning
W Alkhatib, S Schnitzer, T Steuer, C Rensing
Task Recommendation in Crowdsourcing Platforms: Worker Centered Approaches for Task Assignment and Recommendation in Online Task Markets Based on Textual Descriptions
SM Schnitzer
Technische Universität Darmstadt, 2019
Results of a Survey About the Perceived Task Similarities in Micro Task Crowdsourcing Systems
S Schnitzer, S Neitzel, S Schmidt, C Rensing
Behavioral Analytics in Social and Ubiquitous Environments: 6th …, 2019
Generic Sentence Classification: Examining the Scenario of Scientific
S Schmidt, S Schnitzer, C Rensing
Comparison of Feature Selection Techniques for Multi-label Text Classification against a New Semantic-based Method
W Alkhatib, S Schnitzer, W Ding, P Jiang, Y ALkhalili, C Rensing
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