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Top Publications

Industrial Data Science

  • S. Wassermann, T. Cuvelier, P. Mulinka, P. Casas, (2020) Adaptive and Reinforcement Learning Approaches for Online Network Monitoring and Analysis. In IEEE Trans. on Network and Service Management (TNSM), 2020. IF = 4.682
  • P. Casas (2020) Two Decades of AI4NETS - Challenges & Research Directions. In 5th IEEE/IFIP International Workshop on Analytics for Network and Service Management (AnNet), 2020.
  • S. Wassermann, M. Seufert, P. Casas, G. Li, L. Kuang (2020) ViCrypt to the Rescue: Real-time, Machine Learning-driven Video QoE Monitoring for Encrypted Streaming Traffic. In IEEE Trans. on Network and Service Management (TNSM), 2020. IF = 4.682
  • G. García González, P. Casas, A. Fernández, G. Gómez (2020) On the Usage of Generative Models for Network Anomaly Detection in Multivariate Time-Series. In IFIP Performance 2020 Workshops, Workshop on AI in Networks (WAIN), 2020.
  • N. Wehner, M, Seufert, S. Egger-Lampl, B. Gardlo, P. Casas, R. Schatz (2020) Scoring High: Analysis and Prediction of Viewer Behavior and Engagement in the Context of 2018 FIFA WC Live Streaming. In 28th ACM International Conference on Multimedia (ACM MM), 2020.
  • A. D’Alconzo, I. Drago, A. Morichetta, M. Mellia, P. Casas (2019) A Survey on Big Data for Network Traffic Monitoring and Analysis. In IEEE Trans. on Network and Service Management (TNSM), 2019. IF = 4.682
  • P. Mulinka, S. Wassermann, G. Marín, P. Casas (2018) Remember the Good, Forget the Bad, do it Fast: Continuous Learning over Streaming Data. In Proc. Conference on Neural Information Processing Systems (NeurIPS), Workshop on Continual Learning, 2018.


Data Science for Public Security

  • A. Lindley, L. Beltzung (2021). Künstliche Intelligenz im Einsatz gegen Internetbetrug - Erfahrungen aus dem Forschungsprojekt SINBAD. In Reiffenstein, M. Konsumentenpolitisches Jahrbuch 2021 Trends, Rechtsentwicklung Und Judikatur Der Letzten Zwei Jahre; Verlag Österreich, 2021. https://doi.org/10.33196/9783704688804.
  • M. Romiti, F. Victor, P. Moreno-Sanchez, P. Nordholt, B. Haslhofer, M. Maffei (2021) Cross-layer deanonymization methods in the lightning protocol. In Financial cryptography and data security, Springer Berlin Heidelberg, 12674, pp. 187-204
  • A. Lindley, O. Dinica, L. Beltzung, N. Hermann, R. Lindner (2020). Real-Time Detection of Fake-Shops through Machine Learning. In Proceedings of the 2020 IEEE International Conference on Big Data, 10-13 December 2020. IEEE, Copyright Clearance Center, 222 Rosewood Drive, Danvers, MA 01923.
  • S. Mariem, P. Casas, M. Romiti, B. Donnet, R. Stütz, B. Haslhofer (2020) All that Glitters is not Bitcoin. Unveiling the Centralized Nature of the BTC (IP) Network. In NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium, pp. 1-9
  • M. Paquet-Clouston, M. Romiti, B. Haslhofer, T. Charvat (2019) Spams meet Cryptocurrencies: Sextortion in the Bitcoin Ecosystem. AFT 2019 - Proceedings of the 1st ACM Conference on Advances in Financial Technologies, pp. 76-88
  • M. Paquet-Clouston, B. Haslhofer, B. Dupont (2018) Ransomware Payments in the Bitcoin Ecosystem. In 17th Annual Workshop on the Economics of Information Security (WEIS 2018), pp. 1 - 10


Cultural Data Science

  • V. Vitale, P de Soto, R. Simon, E. Barker, L. Isaksen, R. Kahn (2021) Pelagios - Connecting Histories of Place. Part I: Methods and Tools. International Journal of Humanities and Arts Computing, Volume 15 Issue 1-2, Page 5-32, ISSN 1753-8548.  Edinburgh University Press. doi.org/10.3366/ijhac.2021.0260 
  • Jan Rörden, Doris Gruber, Martin Krickl, Bernhard Haslhofer (2020) Identifying Historical Travelogues in Large Text Corpora Using Machine Learning, iConference 2020, March 23-26, Borås, Sweden, Lee Dirks Award for Best Full Research Paper.
  • S. Gordea, M. Lestari Paramita, A. Isaac (2020) Named Entity Recommendations to Enhance Multilingual Retrieval in Europeana.eu. In 25th International Symposium, ISMIS 2020, Graz, Austria, September 23-25, 2020, Proceedings, D. Helic, G. Leitner, M. Stettinger, A. Felfernig, Z. Raś (Hrg.); Springer International Publishing, (2020), ISBN: 978-3-030-59491-6; S. 102 - 112.
  • Rainer Simon, Valeria Vitale, Rebecca Kahn, Elton Barker, Leif Isaksen (2019) Revisiting Linking Early Geospatial Documents with Recogito. In e-Perimetron. Vol. 14, No. 3 (2019), pp. 152-163.
  • S. Gordea, V. Charles, H. Manguinhas, A. Isaac, N. Freire (2018) Designing a Multilingual Knowledge Graph as a Service for Cultural Heritage - Some Challenges and Solutions.
    In 2018 Proceedings of the International Conference on Dublin Core and Metadata Application", Dublin Core Metadata Initiative (DCMI), Online, Dublin, 2018, ISSN: 1939-1366, 13 S.
  • Bernhard Haslhofer, Antoine Isaac, Rainer Simon (2018) Knowledge Graphs in the Libraries and Digital Humanities Domain. In Encyclopedia of Big Data Technologies. Sherif Sakr, Albert Zomaya (Eds.) Springer International Publishing, ISBN 978-3-319-77526-5.
  • Rainer Simon, Leif Isaksen, Elton Barker, Pau de Soto Cañamares (2016) Peripleo: a Tool for Exploring Heterogeneous Data through the Dimensions of Space and Time. In Code4Lib Issue 31 (2016-01-28). ISSN 1940-5758.