Informatics 26 - Chair of Professorship of Data Analytics and Machine Learning

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  • 2019

    MLearn: A declarative machine learning language for database systems

    Schüle, M. E., Bungeroth, M., Kemper, A., Günnemann, S. & Neumann, T., 30 Jun 2019, Proceedings of the 3rd Workshop on Data Management for End-To-End Machine Learning, DEEM 2019 - In conjunction with the 2019 ACM SIGMOD/PODS Conference. Association for Computing Machinery, 3329494. (Proceedings of the ACM SIGMOD International Conference on Management of Data).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    6 Scopus citations

  • Multi-source neural variational inference

    Kurle, R., Günnemann, S. & van der Smagt, P., 2019, 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019. AAAI Press, p. 4114-4121 8 p. (33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    22 Scopus citations

  • The power of SQL lambda functions

    Schüle, M. E., Vorona, D., Passing, L., Lang, H., Kemper, A., Günnemann, S. & Neumann, T., 2019, Advances in Database Technology - EDBT 2019: 22nd International Conference on Extending Database Technology, Proceedings. Galhardas, H., Binnig, C., Kaoudi, Z., Reinwald, B., Fundulaki, I. & Herschel, M. (eds.). OpenProceedings.org, p. 534-537 4 p. (Advances in Database Technology - EDBT; vol. 2019-March).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    10 Scopus citations
  • 2018

    Adversarial attacks on neural networks for graph data

    Zügner, D., Akbarnejad, A. & Günnemann, S., 19 Jul 2018, KDD 2018 - Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 2847-2856 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access
    749 Scopus citations

  • Anomaly detection in car-booking graphs

    Shchur, O., Bojchevski, A., Farghal, M., Gunnemann, S. & Saber, Y., 2 Jul 2018, Proceedings - 18th IEEE International Conference on Data Mining Workshops, ICDMW 2018. Tong, H., Li, Z., Zhu, F. & Yu, J. (eds.). IEEE Computer Society, p. 604-607 4 p. 8637361. (IEEE International Conference on Data Mining Workshops, ICDMW; vol. 2018-November).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    5 Scopus citations

  • Bayesian robust attributed graph clustering: Joint learning of partial anomalies and group structure

    Bojchevski, A. & Günnemann, S., 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. AAAI Press, p. 2738-2745 8 p. (32nd AAAI Conference on Artificial Intelligence, AAAI 2018).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    59 Scopus citations

  • Intrinsic Degree: An Estimator of the Local Growth Rate in Graphs

    von Ritter, L., Houle, M. E. & Günnemann, S., 2018, Similarity Search and Applications - 11th International Conference, SISAP 2018, Proceedings. Marchand-Maillet, S., Silva, Y. N. & Chávez, E. (eds.). Springer Verlag, p. 195-208 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11223 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    2 Scopus citations

  • NetGAN: Generating Graphs via random walks

    Bojchevski, A., Shchur, O., Zugner, D. & Gunnemann, S., 2018, 35th International Conference on Machine Learning, ICML 2018. Dy, J. & Krause, A. (eds.). International Machine Learning Society (IMLS), p. 973-988 16 p. (35th International Conference on Machine Learning, ICML 2018; vol. 2).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    147 Scopus citations

  • Pre-ignition Detection Using Deep Neural Networks: A Step Towards Data-driven Automotive Diagnostics

    Wolf, P., Mrowca, A., Nguyen, T. T., Baker, B. & Gunnemann, S., 7 Dec 2018, 2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018. Institute of Electrical and Electronics Engineers Inc., p. 176-183 8 p. 8569908. (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC; vol. 2018-November).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    24 Scopus citations
  • 2017

    Detection and prediction of natural hazards using large-scale environmental data

    Hubig, N., Fengler, P., Züfle, A., Yang, R. & Günnemann, S., 2017, Advances in Spatial and Temporal Databases - 15th International Symposium, SSTD 2017, Proceedings. Ku, W.-S., Voisard, A., Chen, H., Lu, C.-T., Ravada, S., Renz, M., Huang, Y., Gertz, M., Tang, L., Zhang, C., Hoel, E. & Zhou, X. (eds.). Springer Verlag, p. 300-316 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10411 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    7 Scopus citations

  • Efficient batched distance and centrality computation in unweighted and weighted graphs

    Then, M., Günnemann, S., Kemper, A. & Neumann, T., 2017, Datenbanksysteme fur Business, Technologie und Web, BTW 2017 - 17. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme�, DBIS 2017, Proceedings. Mitschang, B., Nicklas, D., Leymann, F., Schoning, H., Herschel, M., Teubner, J. & Harder, T. (eds.). Gesellschaft fur Informatik (GI), p. 247-266 20 p. (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI); vol. 265).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    1 Scopus citations

  • Robust spectral clustering for noisy data

    Bojchevski, A., Matkovic, Y. & Günnemann, S., 13 Aug 2017, KDD 2017 - Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 737-746 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. Part F129685).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    58 Scopus citations

  • SQL- and operator-centric data analytics in relational main-Memory databases

    Passing, L., Then, M., Hubig, N., Lang, H., Schreier, M., Günnemann, S., Kemper, A. & Neumann, T., 2017, Advances in Database Technology - EDBT 2017: 20th International Conference on Extending Database Technology, Proceedings. Mitschang, B., Markl, V., Bress, S., Andritsos, P., Sattler, K.-U. & Orlando, S. (eds.). OpenProceedings.org, p. 84-95 12 p. (Advances in Database Technology - EDBT; vol. 2017-March).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    33 Scopus citations

  • The power of certainty: A dirichlet-multinomial model for belief propagation

    Eswaran, D., Günnemann, S. & Faloutsos, C., 2017, Proceedings of the 17th SIAM International Conference on Data Mining, SDM 2017. Chawla, N. & Wang, W. (eds.). Society for Industrial and Applied Mathematics Publications, p. 144-152 9 p. (Proceedings of the 17th SIAM International Conference on Data Mining, SDM 2017).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access
    9 Scopus citations
  • 2016

    Automatic taxonomy extraction from bipartite graphs

    Kötter, T., Günnemann, S., Berthold, M. R. & Faloutsos, C., 5 Jan 2016, Proceedings - 15th IEEE International Conference on Data Mining, ICDM 2015. Aggarwal, C., Zhou, Z.-H., Tuzhilin, A., Xiong, H. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 221-230 10 p. 7373326. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2016-January).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • BIRDNEST: Bayesian inference for ratings-fraud detection

    Hooi, B., Shah, N., Beutel, A., Günnemann, S., Akoglu, L., Kumar, M., Makhija, D. & Faloutsos, C., 2016, 16th SIAM International Conference on Data Mining 2016, SDM 2016. Venkatasubramanian, S. C. & Meira, W. (eds.). Society for Industrial and Applied Mathematics Publications, p. 495-503 9 p. (16th SIAM International Conference on Data Mining 2016, SDM 2016).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access
    78 Scopus citations

  • Continuous experience-aware language model

    Mukherjee, S., Günnemann, S. & Weikum, G., 13 Aug 2016, KDD 2016 - Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1075-1084 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 13-17-August-2016).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    Open Access
    3 Scopus citations

  • Hyperbolae are no hyperbole: Modelling communities that are not cliques

    Metzler, S., Günnemann, S. & Miettinen, P., 2 Jul 2016, Proceedings - 16th IEEE International Conference on Data Mining, ICDM 2016. Bonchi, F., Domingo-Ferrer, J., Baeza-Yates, R., Zhou, Z.-H. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 330-339 10 p. 7837857. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 0).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    5 Scopus citations