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Published
Motive vernetzen – Meta-Image als Bild-Zettelkasten: Bilddiskurse in Zeiten des Internet
Warnke, M., 09.2012, In: FIfF-Kommunikation. 29, 3, p. 50-52 3 p.
Research output: Journal contributions › Journal articles › Research
Modern Baselines for SPARQL Semantic Parsing
Banerjee, D., Nair, P. A., Kaur, J. N., Usbeck, R. & Biemann, C., 06.07.2022, SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. Amigo, E., Castells, P. & Gonzalo, J. (eds.). Association for Computing Machinery, Inc, p. 2260-2265 6 p. (SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Published
Modelle und Verfahren zur Beschreibung des Systemverhaltens von Rechnernetzen
Hoffmann, U., 10.1984, In: Angewandte Informatik. 26, 10, p. 410-416 7 p.
Research output: Journal contributions › Journal articles › Research › peer-review
Published
Modeling the Clickstream Across Multiple Online Advertising Channels Using a Binary Logit With Bayesian Mixture of Normals
Nottorf, F., 01.2014, In: Electronic Commerce Research and Applications. 13, 1, p. 45-55 11 p.
Research output: Journal contributions › Journal articles › Research › peer-review
Published
Modeling Conditional Dependencies in Multiagent Trajectories
Rudolph, Y. & Brefeld, U., 2022, In: Proceedings of Machine Learning Research. 151, p. 10518-10533 16 p.
Research output: Journal contributions › Conference article in journal › Research › peer-review
Published
Mining User-Generated Financial Content to Predict Stock Price Movements
Mastel, A. & Jacobs, J., 12.2012, Lüneburg: Universität Lüneburg, 42 p. (FInAL; vol. 22, no. 1).
Research output: Working paper › Working papers
Mining positional data streams
Haase, J. & Brefeld, U., 2015, New Frontiers in Mining Complex Patterns. Springer, p. 102-116 15 p.
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Mining Implications From Data
Boubekki, A. & Bengs, D., 2014, Proceedings of the LWA 20 14 Workshops: KDML, IR and FGWM: Aachen, Germany, September 8 - 10, 2014. Seidl, T., Hassani, M. & Beecks, C. (eds.). Rheinisch-Westfälische Technische Hochschule Aachen, p. 205-216 12 p. (CEUR Workshop Proceedings; vol. 1226).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
MEX vocabulary: A lightweight interchange format for machine learning experiments
Esteves, D., Moussallem, D., Neto, C. B., Soru, T., Usbeck, R., Ackermann, M. & Lehmann, J., 16.09.2015, Proceedings of the 11th International Conference on Semantic Systems, SEMANTiCS 2015. Polleres, A., Hellmann, S. & Parreira, J. X. (eds.). Association for Computing Machinery, Inc, p. 169-176 8 p. (ACM International Conference Proceeding Series; vol. 16-17-September-2015).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Message passing for hyper-relational knowledge graphs
Galkin, M., Trivedi, P., Maheshwari, G., Usbeck, R. & Lehmann, J., 01.01.2020, EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Webber, B., Cohn, T., He, Y. & Liu, Y. (eds.). Association for Computational Linguistics (ACL), p. 7346-7359 14 p. (EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

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