Displaying results 1 to 12 out of 12

[ASC19]Wael Alkhatib, Steffen Schnitzer, and Christoph Rensing:
Training-less Multi-label Text Classification Using Knowledge Bases and Word Embeddings. In: Christos Douligeris, Dimitris Karagiannis, Dimitris Apostolou: The 12th International Conference on Knowledge Science, Engineering and Management (KSEM 2019) , p. 97-104, Springer, May 2019. ISBN 978-3-030-29562-2.
https://DOI.org 978-3-030-29563-9_10.
[SRR+19]Steffen Schnitzer, Dominik Reis, Christoph Rensing, Wael Alkhatib, Ralf Steinmetz:
Preselection of Documents for Personalized Recommendations of Job Postings based on Word Embeddings. In: The 34th ACM/SIGAPP Symposium on Applied Computing (SAC ’19), April 8–12, 2019, Limassol, Cyprus, p. 1683-1686, ACM, New York, NY, USA, May 2019. ISBN 978-1-4503-5933-7.
[ASSR19]Wael Alkhatib, Steffen Schnitzer, Tim Steuer, Christoph Rensing:
Unsupervised Query-based Document Recommendation Using Deep Learning. In: 20th International Conference on Computational Linguistics and Intelligent Text Processing (accepted for publication), Springer, May 2019.
[AARS18]Wael Alkhatib, Eid Araache, Christoph Rensing, Steffen Schnitzer:
Ensuring Novelty and Transparency in Learning Resource-Rcommendation based on Deep Learning Techniques. In: in the proceeding of The 13th European Conference on Technology Enhanced Learning., p. 609-612, Springer, August 2018.
[ASNC18]Wael Alkhatib, Saba Sabrin, Svenja Neitzel, and Christoph Rensing:
Towards Ontology-based Training-less Multi-label Text Classifi cation. In: The proceeding of the 23rd International Conference on Applications of Natural Language to Information Systems, p. 389-396, Springer, May 2018. ISBN 978-3-319-91946-1.
[ASD+18]Wael Alkhatib, Steffen Schnitzer, Wei Ding, Peter Jiang, Yassin Alkhalili, Christoph Rensing:
Comparison of Feature Selection Techniques for Multi-label Text Classi fication against a New Semantic-based Method. In: (Accepted for publication) in the proceeding of the 19th International Conference on Computational Linguistics and Intelligent Text Processing, May 2018.
[RAZ+17]Christoph Rensing, Wael Alkhatib, Max Zollenkopf, Olaf Aschmann, Stephan Tittel:
Ein Assistent zur Konzeption von Lernaufträgen für das Lernen am Produktionsarbeitsplatz. In: Christoph Igel, Carsten Ullrich, Martin Wessner (Hrsg.): Proceedings der 15. e-Learning Fachtagung Informatik (DeLFI 2017), p. 15-26, October 2017.
[AA17]Wael Alkhatib, Leon Alexander Herrmann, Christoph Rensing:
Onto.KOM Towards a Minimally Supervised Ontology Learning System based on Word Embeddings and Convolutional Neural Networks. In: Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, p. 17-26, August 2017. ISBN 978-989-758-272-1.
[AABR17]Wael Alkhatib, Alaa Alhamoud, Doreen Böhnstedt, Ralf Steinmetz:
Hybrid Models for Short-Term Load Forecasting Using Clustering and Time Series. In: Ignacio RojasGonzalo JoyaAndreu Catala: International Work-Conference on Artificial Neural Networks, vol. 10306, p. 104--115, Springer, Cham, July 2017. ISBN Online: 978-3-319-59147-6, Print: 978-3-319-59146-9.
[AABR17-2]Wael Alkhatib, Alaa Alhamoud, Doreen Böhnstedt,Ralf Steinmetz:
Hybrid Model for Large Scale Forecasting of Power Consumption. In: Rojas I., Joya G., Catala A: International Work-Conference on Artificial Neural Networks, vol. 10305, p. 661--672, Springer, Cham, July 2017. ISBN online:978-3-319-59153-7, print: 978-3-319-59152-0.
[ARJ17]Wael Alkhatib, Christoph Rensing, Johannes Silberbauer:
Multi-label Text Classification Using Semantic Features and Dimensionality Reduction with Autoencoders. In: Gracia J., Bond F., McCrae J., Buitelaar P., Chiarcos C., Hellmann S.: International Conference on Language, Data and Knowledge, vol. 10318, p. 380--394, Springer, Cham, July 2017. ISBN online:978-3-319-59888-8, print: 978-3-319-59887-1.
[AR16]Wael Alkhatib, Christoph Rensing:
Towards a Classification of Learning Support Systems at the Digitized Workplace. In: Raphael Zender: Proceedings der Pre-Conference-Workshops der 14. E-Learning Fachtagung Informatik , no. Vol. 1669, p. 188-194, CEUR Workshop Proceedings, October 2016. ISBN ISSN 1613-0073.

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