Konferenzbeiträge (referiert)
Galke, Lukas / Vagliano, Iacopo / Scherp, Ansgar
Can Graph Neural Networks Go "Online"? An Analysis of Pretraining and Inference
In: Representation Learning on Graphs and Manifolds Workshop of the International Conference on Learning Representations (ICLR), 2019 Ithaca: arXiv - Cornell University, 2019,
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Mai, Florian / Galke, Lukas / Scherp, Ansgar
CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model
In: International Conference on Learning Representations (ICLR), New Orleans, Louisiana, United States, May 6 - May 9, 2019 Amherst: OpenReview, University of Massachusetts, 2019,
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Galke, Lukas / Melnychuk, Tetyana / Seidlmayer, Eva / Trog, Steffen / Förstner, Konrad U. / Schultz, Carsten / Tochtermann, Klaus
Inductive Learning of Concept Representations from Library-Scale Corpora with Graph Convolution
In: INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft Bonn: Gesellschaft für Informatik e.V., 2019, pp. 219-232, doi:10.18420/inf2019_26
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Seidlmayer, Eva / Galke, Lukas / Melnychuk, Tetyana / Schultz, Carsten / Tochtermann, Klaus / Förstner, Konrad U.
Take it Personally - A Python library for data enrichment in informetrical applications
In: Proceedings of the Posters and Demo Track of the 15th International Conference on Semantic Systems co-located with 15th International Conference on Semantic Systems (SEMANTiCS 2019), Karlsruhe, Germany, September 9th to 12th, 2019, CEUR Workshop Proceedings, : , 2019,
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Galke, Lukas / Mai, Florian / Scherp, Ansgar
What If We Encoded Words as Matrices and Used Matrix Multiplication as Composition Function?
In: INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft Bonn: Gesellschaft für Informatik e.V., 2019, pp. 287-288, doi:10.18420/inf2019_47
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Mai, Florian / Galke, Lukas / Scherp, Ansgar
Using Deep Learning for Title-Based Semantic Subject Indexing to Reach Competitive Performance to Full-Text
In: Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries New York: ACM Press, 2018, pp. 169-178, doi:10.1145/3197026.3197039
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Lauscher, Anne / Eckert, Kai / Galke, Lukas / Scherp, Ansgar / Rizvi, Syed Tahseen Raza / Ahmed, Sheraz / Dengel, Andreas / Zumstein, Philipp / Klein, Annette
Linked Open Citation Database: Enabling Libraries to Contribute to an Open and Interconnected Citation Graph
In: Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries New York: ACM Press, 2018, pp. 109-118, doi:10.1145/3197026.3197050
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Galke, Lukas / Mai, Florian / Vagliano, Iacopo / Scherp, Ansgar
Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels
In: Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization New York: ACM Press, 2018, pp. 197-205, doi:10.1145/3209219.3209236
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Vagliano, Iacopo / Galke, Lukas / Mai, Florian / Scherp, Ansgar
Using Adversarial Autoencoders for Multi-Modal Automatic Playlist Continuation
In: RecSys Challenge '18 Proceedings of the ACM Recommender Systems Challenge 2018, Vancouver, BC, Canada, October 07, 2018 New York, NY: ACM, 2018, pp. (Article no. 5), doi:10.1145/3267471.3267476
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Galke, Lukas / Saleh, Ahmed / Scherp, Ansgar
Evaluating the impact of word embeddings on similarity scoring in practical information retrieval
In: Proceedings of Informatik 2017, 47. Jahrestagung der Gesellschaft für Informatik e.V. (GI) Bonn: Gesellschaft für Informatik e.V. (GI), 2017,, doi:10.18420/in2017_215
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Galke, Lukas / Mai, Florian / Schelten, Alan / Brunsch, Dennis / Scherp, Ansgar
Using Titles vs. Full-text as Source for Automated Semantic Document Annotation
In: K-CAP 2017: Proceedings of the Knowledge Capture Conference, Article No. 20, Austin, TX, USA — December 04 - 06, 2017 New York, NY: ACM, 2017,, doi:10.1145/3148011.3148039
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