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261 - 280 out of 600Page size: 20

  1. OKBQA framework towards an open collaboration for development of natural language question-answering systems over knowledge bases

    Kim, J. D., Unger, C., Ngomo, A. C. N., Freitas, A., Hahm, Y. G., Kim, J., Nam, S., Choi, G. H., Kim, J. U., Usbeck, R., Kang, M. G. & Choi, K. S., 2017, ISWC-P&D-Industry 2017: Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks. Nikitina, N., Song, D., Fokoue, A. & Haase, P. (eds.). Sun Site Central Europe (RWTH Aachen University), Vol. 1963. (CEUR Workshop Proceedings; vol. 1963).

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

  2. 7th open challenge on question answering over linked data (QALD-7)

    Usbeck, R., Ngomo, A. C. N., Haarmann, B., Krithara, A., Röder, M. & Napolitano, G., 2017, Semantic Web Challenges - 4th SemWebEval Challenge at ESWC 2017, Revised Selected Papers. Dragoni, M., Solanki, M. & Blomqvist, E. (eds.). Springer International Publishing AG, p. 59-69 11 p. (Communications in Computer and Information Science; vol. 769).

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

  3. MAG: A multilingual, knowledge-base agnostic and deterministic entity linking approach

    Moussallem, D., Usbeck, R., Röder, M. & Ngomo, A. C. N., 04.12.2017, Proceedings of the Knowledge Capture Conference, K-CAP 2017. Association for Computing Machinery, Inc, p. 1-8 8 p. 9. (Proceedings of the Knowledge Capture Conference, K-CAP 2017).

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

  4. Holistic and scalable ranking of RDF data

    Ngomo, N., Ngomo, N., Hoffmann, M., Usbeck, R. & Jha, K., 01.07.2017, Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017. Nie, J-Y., Obradovic, Z., Suzumura, T., Ghosh, R., Nambiar, R., Wang, C., Zang, H., Baeza-Yates, R., Baeza-Yates, R., Hu, X., Kepner, J., Cuzzocrea, A., Tang, J. & Toyoda, M. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 746-755 10 p. (Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017; vol. 2018-January).

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

  5. Domain adaptation of POS taggers without handcrafted features

    Rodrigues, I. M., Fernandes, E. R. & dos Santos, C. N., 30.06.2017, IJCNN 2017: the International Joint Conference on Neural Networks. Piscataway: Institute of Electrical and Electronics Engineers Inc., p. 3331-3338 8 p. 7966274. (Proceedings of the International Joint Conference on Neural Networks; vol. 2017).

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

  6. How difficult is the adaptation of POS taggers?

    Rodrigues, I. M. & Fernandes, E. R., 28.06.2017, BRACIS 2017: 2017 Brazilian Conference on Intelligent Systems : Uberlândia, MG, Brazil, 2-5 October 2017 : proceedings. Piscataway: Institute of Electrical and Electronics Engineers Inc., p. 360-365 6 p.

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

  7. Data-Driven flood detection using neural networks

    Nogueira, K., Fadel, S. G., Dourado, I. C., De Werneck, R. O., Munoz, J. A., Penatti, O. A. B., Calumby, R. T., Li, L. T., Santos, J. A. D. & Torres, R. D. S., 2017, In: CEUR Workshop Proceedings. 1984, 3 p.

    Research output: Journal contributions › Conference article in journal › Research › peer-review

  8. Visualizing the Hidden Activity of Artificial Neural Networks

    Rauber, P. E., Fadel, S. G., Falcão, A. X. & Telea, A. C., 01.2017, In: IEEE Transactions on Visualization and Computer Graphics. 23, 1, p. 101-110 10 p., 7539329.

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

  9. Published

    What’s Hot: Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data

    Hoogendoorn, M. & Funk, B., 28.09.2017

    Research output: other publications › Articles in scientific forums or blogs › Research › peer-review

  10. Published

    IT Governance in Scaling Agile Frameworks

    Horlach, B., Böhmann, T., Schirmer, I. & Drews, P., 2018, Tagungsband Multikonferenz Wirtschaftsinformatik 2018: Data driven X - Turning Data into Value. Drews, P., Funk, B., Niemeyer, P. & Xie, L. (eds.). Leuphana Universität Lüneburg, Vol. 5. p. 1789-1800 12 p. (MKWI 2018 - Multikonferenz Wirtschaftsinformatik; vol. 2018-March).

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

  11. Published

    Propagating Maximum Capacities for Recommendation

    Boubekki, A., Brefeld, U., Lucchesi, C. L. & Stille, W., 2017, KI 2017: Advances in Artificial Intelligence: 40th Annual German Conference on AI, Dortmund, Germany, September 25-29, 2017 : proceedings. Cham, Schweiz: Springer, p. 72-84 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10505 LNAI).

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

  12. Published

    Deep Learning auf sequenziellen Daten als Grundlage unternehmerischer Entscheidungen: Schwerpunkt Analyse sequenzieller Daten

    Funk, B., Dr. Rettenmeier, M. & Lang, T., 10.2017, In: Wirtschaftsinformatik & Management. 9, 5, p. 16-25 10 p.

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

  13. Published

    Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data

    Hoogendoorn, M. & Funk, B., 2018, 1 ed. Cham: Springer International Publishing AG. 231 p. (Cognitive Systems Monograph; vol. 35)

    Research output: Books and anthologies › Monographs › Research › peer-review

  14. Modeling and Performance Analysis of a Node in Fault Tolerant Wireless Sensor Networks

    Krenzler, R. & Daduna, H., 2014, Measurement, Modelling, and Evaluation of Computing Systems and Dependability and Fault Tolerance: 17th International GI/ITG Conference, MMB & DFT 2014, Bamberg, Germany, March 17-19, 2014 ; proceedings. Fischbach, K. (ed.). Springer International Publishing AG, p. 73-87 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8376 LNCS).

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

  15. Models for integrated production-inventory systems: steady state and cost analysis

    Otten, S., Krenzler, R. & Daduna, H., 17.10.2016, In: International Journal of Production Research. 54, 20, p. 6174-6191 18 p.

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

  16. Published

    Predicting Therapy Success For Treatment as Usual and Blended Treatment in the Domain of Depression

    van Breda, W. R. J., Bremer, V., Becker, D., Funk, B., Ruwaard, J. & Riper, H., 01.06.2018, In: Internet Interventions. 12, p. 100-104 5 p.

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

  17. Published

    Bimodal Enterprise Architecture Management: The emergence of a new EAM function for a BizDevOps-based fast IT

    Drews, P., Schirmer, I., Horlach, B. & Tekaat, C., 02.11.2017, Proceedings - 2017 IEEE 21st International Enterprise Distributed Object Computing Conference Workshops, EDOCW 2017: 10–13 October 2017 Quebec City, Quebec, Canada, Proceedings. Lapalme, J., Halle, S. & Dijkman, R. (eds.). IEEE - Institute of Electrical and Electronics Engineers Inc., p. 57-64 8 p. (Proceedings - IEEE International Enterprise Distributed Object Computing Workshop, EDOCW; vol. 2017-October).

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

  18. Published

    Guest editorial: Special issue on sports analytics

    Brefeld, U. & Zimmermann, A., 01.11.2017, In: Data Mining and Knowledge Discovery. 31, 6, p. 1577-1579 3 p.

    Research output: Journal contributions › Other (editorial matter etc.) › Research

  19. Published

    Frame-based Data Factorizations

    Mair, S., Boubekki, A. & Brefeld, U., 25.07.2017, 34th International Conference on Machine Learning, ICML 2017. Precup, D. & Teh, Y. W. (eds.). Red Hook: Curran Associates, p. 2305-2313 9 p. (Proceedings of Machine Learning Research; vol. 70).

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

  20. Published

    Distributed robust Gaussian Process regression

    Mair, S. & Brefeld, U., 01.05.2018, In: Knowledge and Information Systems. 55, 2, p. 415-435 21 p.

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

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