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  1. Published

    Machine Learning Analysis in the Diagnostics of the Dynamics of Ball Bearing with Different Radial Internal Clearance

    Ambrożkiewicz, B., Syta, A., Gassner, A., Georgiadis, A., Litak, G. & Meier, N., 2023, Recent Trends in Wave Mechanics and Vibrations : Proceedings of WMVC 2022. Dimitrovová, Z., Gonçalves, R., Biswas, P. & Silva, T. (eds.). Cham: Springer Schweiz, p. 599-606 8 p. (Mechanisms and Machine Science; vol. 125).

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

  2. lp-Norm Multiple Kernel Learning

    Kloft, M., Brefeld, U., Sonnenburg, S. & Zien, A., 2011, In: Journal of Machine Learning Research. 2011, 12, p. 953-997 45 p.

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

  3. Published

    Lost-customers approximation of semi-open queueing networks with backordering: An application to minimise the number of robots in robotic mobile fulfilment systems

    Otten, S., Krenzler, R., Xie, L., Daduna, H. & Kruse, K., 03.12.2019, New York, 44 p. (arXiv.org).

    Research output: Working paper › Working papers

  4. 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

  5. Published

    Live Demonstration: Passive Sensor Setup for Road Condition Monitoring

    Kortmann, F., Horstkotter, J., Warnecke, A., Meier, N., Heger, J., Funk, B. & Drews, P., 25.10.2020, 2020 IEEE SENSORS Proceedings. Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., 1 p. 9278776. (IEEE Sensors Proceedings).

    Research output: Contributions to collected editions/works › Published abstract in conference proceedings › Research › peer-review

  6. Linked Data-driven Resilience Research 2023: Proceedings of the Second International Workshop on Linked Data-driven Resilience Research 2023 co-located with Extended Semantic Web Conference 2023 (ESWC 2023), Hersonissos, Greece, May 28, 2023

    Tramp, S. (ed.), Usbeck, R. (ed.), Arndt, N. (ed.), Holze, J. (ed.) & Auer, S. (ed.), 2023, Aachen: Sun Site Central Europe (RWTH Aachen University). (CEUR Workshop Proceedings; vol. 3401)

    Research output: Books and anthologies › Conference proceedings › Research

  7. Published

    Lineare Optimierung und Operations Research

    Riebesehl, D., 03.1995, Lüneburg: Universität Lüneburg, 136 p. (Final; vol. 5, no. 4).

    Research output: Working paper › Working papers

  8. Published

    Leveraging Big Data and Analytics for Auditing: Towards a Taxonomy

    Krieger, F. & Drews, P., 2018, Proceedings of ICIS 2018: Leveraging Big Data and Analytics for Audi. AIS eLibrary, 9 p. (International Conference on Information Systems 2018, ICIS 2018).

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

  9. Published

    Leveraging Architectural Thinking for Large-Scale E-Government Projects

    Burmeister, F., Drews, P. & Schirmer, I., 12.2019, ICIS 2019 Proceedings. Krcmar, H. & Fedorowicz, J. (eds.). Association for Information Systems, 17 p. 3126. (40th International Conference on Information Systems, ICIS 2019).

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

  10. Lessons learned — The case of CROCUS: Cluster-based ontology data cleansing

    Cherix, D., Usbeck, R., Both, A. & Lehmann, J., 2014, The Semantic Web: ESWC 2014 Satellite Events: ESWC 2014 Satellite Events, Anissaras, Crete, Greece, May 25-29, 2014. Tordai, A., Blomqvist, E., Sack, H., Troncy, R., Presutti, V. & Papadakis, I. (eds.). Springer Nature Switzerland AG, p. 14-24 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8798).

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

  11. Learning to Summarise Related Sentences

    Tzouridis, E., Nasir, J. A. & Brefeld, U., 2014, COLING 2014 - 25th International Conference on Computational Linguistics, Proceedings of COLING 2014: Technical Papers. Dublin: Association for Computational Linguistics (ACL), p. 1636-1647 12 p. (COLING 2014 - 25th International Conference on Computational Linguistics, Proceedings of COLING 2014: Technical Papers).

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

  12. 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

  13. Learning to rank user intent

    Giannopoulos, G., Brefeld, U., Dalamagas, T. & Sellis, T., 2011, Proceedings of the 20th ACM international conference on Information and knowledge management . Association for Computing Machinery, Inc, p. 195-200 6 p.

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

  14. Learning shortest paths in word graphs

    Tzouridis, E. & Brefeld, U., 2014, Knowledge Discovery, Data Mining and Machi- ne Learning (KDML-2013). Henrich, A. & Sperker, H-C. (eds.). Bamberg: Lehrstuhl für Medieninformatik - Universität Bamberg, p. 113-116 4 p.

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

  15. 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

  16. Learning from partially annotated sequences

    Fernandes, E. R. & Brefeld, U., 2011, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Proceedings. Gunopulos, D., Hofmann, T., Malerba, D. & Vazirgiannis, M. (eds.). PART 1 ed. Heidelberg, Berlin: Springer, p. 407-422 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6911 LNAI, no. PART 1).

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

  17. Published

    Learning Analytics: Neue Wege der Erfolgsmessung von (E-)Learning (Teil 1)

    Groß, M. & Retslag, T., 04.2015, In: HR Performance. 2, p. 84-86 3 p.

    Research output: Journal contributions › Journal articles › Transfer

  18. Published

    Leadership in distributed organisations: Was bedeutet Distanz? Welche Probleme gibt es bei Führung über Distanz? Wie beherrsche ich sie?

    Groß, M. & Hülsbusch, W., 2007, Leadership in distributed organisations: Beherrschung der Distanz in verteilt agierenden Unternehmen ; Kongressband einer Fachtagung in Lüneburg, Feb. 2007 . Groß, M. (ed.). Boizenburg: vwh-Verlag Werner Hülsbusch, p. 9-56 48 p.

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research

  19. Published

    Leadership in distributed organisations: Beherrschung der Distanz in verteilt agierenden Unternehmen ; Kongressband einer Fachtagung in Lüneburg, Feb. 2007

    Groß, M. (ed.) & Hiller, A. (ed.), 2007, Boizenburg: vwh-Verlag Werner Hülsbusch. 188 p.

    Research output: Books and anthologies › Conference proceedings › Research

  20. 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

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