Informatik 26 - Lehrstuhl für Data Analytics and Machine Learning

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  • 2018

    Adversarial attacks on neural networks for graph data

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

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    Open Access
    728 Zitate (Scopus)

  • Anomaly detection in car-booking graphs

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

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    5 Zitate (Scopus)

  • 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, S. 2738-2745 8 S. (32nd AAAI Conference on Artificial Intelligence, AAAI 2018).

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    58 Zitate (Scopus)

  • 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. (Hrsg.). Springer Verlag, S. 195-208 14 S. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 11223 LNCS).

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    2 Zitate (Scopus)

  • 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. (Hrsg.). International Machine Learning Society (IMLS), S. 973-988 16 S. (35th International Conference on Machine Learning, ICML 2018; Band 2).

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    141 Zitate (Scopus)

  • 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 Dez. 2018, 2018 IEEE Intelligent Transportation Systems Conference, ITSC 2018. Institute of Electrical and Electronics Engineers Inc., S. 176-183 8 S. 8569908. (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC; Band 2018-November).

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    23 Zitate (Scopus)
  • 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. (Hrsg.). Springer Verlag, S. 300-316 17 S. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 10411 LNCS).

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    7 Zitate (Scopus)

  • 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. (Hrsg.). Gesellschaft fur Informatik (GI), S. 247-266 20 S. (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI); Band 265).

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    1 Zitat (Scopus)

  • 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, S. 737-746 10 S. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; Band Part F129685).

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    57 Zitate (Scopus)

  • 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. (Hrsg.). OpenProceedings.org, S. 84-95 12 S. (Advances in Database Technology - EDBT; Band 2017-March).

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    33 Zitate (Scopus)

  • 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. (Hrsg.). Society for Industrial and Applied Mathematics Publications, S. 144-152 9 S. (Proceedings of the 17th SIAM International Conference on Data Mining, SDM 2017).

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    Open Access
    9 Zitate (Scopus)
  • 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. (Hrsg.). Institute of Electrical and Electronics Engineers Inc., S. 221-230 10 S. 7373326. (Proceedings - IEEE International Conference on Data Mining, ICDM; Band 2016-January).

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  • 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. (Hrsg.). Society for Industrial and Applied Mathematics Publications, S. 495-503 9 S. (16th SIAM International Conference on Data Mining 2016, SDM 2016).

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    Open Access
    78 Zitate (Scopus)

  • 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, S. 1075-1084 10 S. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; Band 13-17-August-2016).

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    Open Access
    3 Zitate (Scopus)

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

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

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    5 Zitate (Scopus)