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  1. Gerbil – Benchmarking named entity recognition and linking consistently

    Röder, M., Usbeck, R. & Ngonga Ngomo, A. C., 2018, In: Semantic Web. 9, 5

    Research output: Journal contributions › Journal articles › Research › peer-review

  2. Published

    Heterogeneity Matters: Predicting Self-Esteem in Online Interventions Based on Ecological Momentary Assessment Data

    Bremer, V., Funk, B. & Riper, H., 13.01.2019, In: Depression Research and Treatment. 2019, 9 p., 3481624.

    Research output: Journal contributions › Journal articles › Research › peer-review

  3. Published

    Influence of measurement errors on networks: Estimating the robustness of centrality measures

    Martin, C. & Niemeyer, P., 01.06.2019, In: Network Science. 7, 2, p. 180-195 16 p.

    Research output: Journal contributions › Journal articles › Research › peer-review

  4. Insights from classifying visual concepts with multiple kernel learning

    Binder, A., Nakajima, S., Kloft, M., Müller, C., Samek, W., Brefeld, U., Müller, K. R. & Kawanabe, M., 24.08.2012, In: PLoS ONE. 7, 8, e38897.

    Research output: Journal contributions › Journal articles › Research › peer-review

  5. Published

    Introducing split orders and optimizing operational policies in robotic mobile fulfillment systems

    Xie, L., Thieme, N., Krenzler, R. & Li, H., 01.01.2021, In: European Journal of Operational Research . 288, 1, p. 80-97 18 p.

    Research output: Journal contributions › Journal articles › Research › peer-review

  6. Published

    Joint optimization of an autoencoder for clustering and embedding

    Boubekki, A., Kampffmeyer, M., Brefeld, U. & Jenssen, R., 01.07.2021, In: Machine Learning. 110, 7, p. 1901-1937 37 p.

    Research output: Journal contributions › Journal articles › Research › peer-review

  7. Latent trees for coreference resolution

    Fernandes, E. R., dos Santos, C. N. & Milidiú, R. L., 19.12.2014, In: Computational Linguistics. 40, 4, p. 801-835 35 p.

    Research output: Journal contributions › Journal articles › Research › peer-review

  8. Learning linear classifiers sensitive to example dependent and noisy costs

    Geibel, P., Brefeld, U. & Wysotzki, F., 01.01.2003, In: Lecture Notes in Computer Science. 2810, p. 167-178 12 p.

    Research output: Journal contributions › Journal articles › Research › peer-review

  9. Published

    Learning to Rate Player Positioning in Soccer

    Dick, U. & Brefeld, U., 01.03.2019, In: Big Data. 7, 1, p. 71-82 12 p.

    Research output: Journal contributions › Journal articles › Research › peer-review

  10. LoCH: A neighborhood-based multidimensional projection technique for high-dimensional sparse spaces

    Fadel, S. G., Fatore, F. M., Duarte, F. S. L. G. & Paulovich, F. V., 20.02.2015, In: Neurocomputing. 150, Part B, p. 546-556 11 p.

    Research output: Journal contributions › Journal articles › Research › peer-review

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