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Publikationsliste für Angehörige von
Data Science & Artificial Intelligence
als Autorinnen / Autoren bzw. wesentlich beteiligte Personen

225 Datensätze (2017 - 2022)


Bücher und Buch-Herausgaben


  1. Autor/innen: Helmut Leopold, DSS; Wolfgang Grabuschnig, CDT; Michael Mürling, DSS; Ross King, DSAI; Andreas Kriechbaum-Zabini, SVS; Bernhard Strobl, SVS; Bernhard Haslhofer, DSAI; Willibald Krenn, SCT; Georg Neubauer, CDT; Donald Dudenhoeffer, SCT

    H. Leopold, W. Grabuschnig, M. Mürling, R. King, A. Kriechbaum-Zabini, B. Strobl, B. Haslhofer, W. Krenn, G. Neubauer, D. Dudenhoeffer (Hrg.):
    "International Digital Security Forum Vienna";
    IDSF, Wien, 2021, 60 S.


Zeitschriftenbeiträge


  1. Autor/innen: Medina Andresel, DSAI; Sergiu Gordea, DSAI; Mina Schütz, DSAI; Srdjan Stevanetic, DSAI

    M. Andresel, S. Gordea, M. Schütz, S. Stevanetic:
    "An Approach for Curating Collections of Historical Documents with the Use of Topic Detection Technologies";
    International Journal of Digital Curation, 17 (2022), 12; S. 1 - 12.

  2. Autor/innen: Peter Biegelbauer, IP; Anahid Naghibzadeh-Jalali, DSAI; Sven Schlarb, DSAI; Michela Vignoli, DSAI

    P. Biegelbauer, A. Naghibzadeh-Jalali, S. Schlarb, M. Vignoli:
    "Ethical AI: Why and How";
    ERCIM News, 131 (2022), 131; S. 8 - 9.

  3. Autor/innen: Alessandro D´Alconzo; Idilio Drago; Andrea Morichetta, DSAI; Marco Mellia, Politecnico die ...; Pedro Casas, DSAI

    A. D´Alconzo, I. Drago, A. Morichetta, M. Mellia, P. Casas:
    "A Survey on Big Data for Network Traffic Monitoring and Analysis";
    IEEE Transactions on Network and Service Management, 16 (2019), 3; S. 800 - 813.

  4. Autor/in: Anita Graser, DSAI

    A. Graser:
    "Bewegungsdaten in GIS - eine Bestandsaufnahme";
    UNIGIS offline, 86 (2022), S. 6 - 7.

  5. Autor/innen: Luis Jiménez, University of Málaga; Marta Solera, University of Málaga; Matías Toril, University of Málaga; Carolina Gijón, University of Málaga; Pedro Casas, DSAI

    L. Jiménez, M. Solera, M. Toril, C. Gijón, P. Casas:
    "Content Matters: Clustering Web Pages for QoE Analysis with WebCLUST";
    IEEE Access, 2021 (2021), S. 1 - 16.

  6. Autor/innen: Stefan Kitzler, DSAI; Friedhelm Victor, Technical University; Pietro Saggese, DSAI; Bernhard Haslhofer, Complexity Scien ...

    S. Kitzler, F. Victor, P. Saggese, B. Haslhofer:
    "Disentangling Decentralized Finance (DeFi) Compositions";
    ACM Transactions on the Web, 4 (2022), S. 1 - 26.

  7. Autor/innen: Friederich Kupzog, EES; Mark Stefan, EES; Ross King, DSAI

    F. Kupzog, M. Stefan, R. King:
    "The role of IT in energy systems: the digital revolution as part of the problem or part of the solution";
    e & i Elektrotechnik und Informationstechnik, Elektrotech. Inftech. (2020), 7 S.

  8. Autor/innen: Dat Ngo; Lam Pham, DSAI; Anh Nguyen; Tien Ly; Khoa Pham; Thanh Ngo

    D. Ngo, L. Pham, A. Nguyen, T. Ly, K. Pham, T. Ngo:
    "Sound Context Classification Basing On Joint Learning Model And Multi-Spectrogram Features";
    International Journal of Computing, 21 (2022), 2; S. 258 - 270.

  9. Autor/innen: Bharath-Varsh Rao (ehem. Mysore-Vasudevarao), EES; Mark Stefan, EES; Thomas Brunnhofer, EES; Roman Schwalbe, EES; Roman Karl, DSAI; Friederich Kupzog, EES; Gregor Taljan, Energienetze Steierm; Franz Zeilinger, Siemens; Peter Stern, Siemens; Martin Kozek, Vienna University of

    B. Rao (ehem. Mysore-Vasudevarao), M. Stefan, T. Brunnhofer, R. Schwalbe, R. Karl, F. Kupzog, G. Taljan, F. Zeilinger, P. Stern, M. Kozek:
    "Optimal capacity management applied to a low voltage distribution grid in a local peer-to-peer energy community";
    International Journal of Electrical Power and Energy Systems, 134 (2022), S. 1 - 9.

  10. Autor/innen: Bharath-Varsh Rao (ehem. Mysore-Vasudevarao), EES; Mark Stefan, EES; Roman Schwalbe, EES; Roman Karl, DSAI; Friederich Kupzog, EES; Martin Kozek, Institute of Mec ...

    B. Rao (ehem. Mysore-Vasudevarao), M. Stefan, R. Schwalbe, R. Karl, F. Kupzog, M. Kozek:
    "Stratified Control applied to a Three-phase Unbalanced Low Voltage";
    Energies, 14 (2021), 3290; 19 S.

  11. Autor/innen: Sherif Sakr, University of Tartu; Angela Bonifati, Université de Lyon; Hannes Voigt, Neo4j; Alexandru Iosup, Vrije Universiteit A; Khaled Ammar, Borealis AG; Renzo Angles, Universidad de Talca; Walid Aref, Purdue University; Marcelo Arenas, PUC & IMFD; Maciej Besta, Swiss Federal Instit; Peter A. Boncz, CWI Informationstech; Khuzaima Daudjee, University of Waterl; Emanuele Della Valle, Polytechnic Universi; Stefania Dumbrava, École nationale supé; Olaf Hartig, Linköping University; Bernhard Haslhofer, DSAI; Tim Hegeman, Vrije Universiteit A; Jan Hidders, Birkbeck University ; Katja Hose, Aalborg University; Adriana Iamnitchi, University of South ; Vasiliki Kalavri, Boston University ; Hugo Kapp, Oracle Labs Switzerl; Wim Martens, University of Bayreu; M. Tamer Özsu, University of Waterl; Eric Peukert, Leipzig University; Stefan Plantikow, Neo4j; Mohamed Ragab, University of Tartu; Matei R. Ripeanu, University of Britis; Semih Salihoglu, University of Waterl; Christian Schulz, Heidelberg Universit; Petra Selmer, Neo4j; Juan F. Sequeda, data.world; Joshua Shinavier, Uber Engineering

    S. Sakr, A. Bonifati, H. Voigt, A. Iosup, K. Ammar, R. Angles, W. Aref, M. Arenas, M. Besta, P. Boncz, K. Daudjee, E. Della Valle, S. Dumbrava, O. Hartig, B. Haslhofer, T. Hegeman, J. Hidders, K. Hose, A. Iamnitchi, V. Kalavri, H. Kapp, W. Martens, M. Özsu, E. Peukert, S. Plantikow, M. Ragab, M. Ripeanu, S. Salihoglu, C. Schulz, P. Selmer, J. Sequeda, J. Shinavier:
    "The future is big graphs: A community view on graph processing systems";
    Communications of the ACM, 64 (2021), 9; S. 62 - 71.

  12. Autor/innen: Alexander Schindler, DSAI; Sven Schlarb, DSAI

    A. Schindler, S. Schlarb:
    "Contextualised Conversational Systems";
    ERCIM News, 114 (2018), S. 13 - 14.

  13. Autor/innen: Michael Seufert, University of Würzbu; Sarah Wassermann, DSAI; Pedro Casas, DSAI

    M. Seufert, S. Wassermann, P. Casas:
    "Considering User Behavior in the Quality of Experience Cycle: Towards Proactive QoE-Aware Traffic Management";
    IEEE Communications Letters, 23 (2019), 7; S. 1145 - 1148.

  14. Autor/innen: Michela Vignoli, DSAI; Jan Rörden, Fraunhofer Institute; Dana Wasserbacher, IP; Simone Kimpeler, Fraunhofer Institute

    M. Vignoli, J. Rörden, D. Wasserbacher, S. Kimpeler:
    "An Exploration of the Potential of Machine Learning Tools for Media Analysis to Support Sense-Making Processes in Foresight";
    frontiers in communication, 7 (2022).

    Zusätzliche Informationen

  15. Autor/innen: Valeria Vitale, The Alan Turing ...; Pau de Soto, Catalan Institut ...; Rainer Simon, DSAI; Elton Barker, Open University Mil; Leif Isaksen, University of Exeter; Rebecca Kahn, University of Vienna

    V. Vitale, P. de Soto, R. Simon, E. Barker, L. Isaksen, R. Kahn:
    "Pelagios - Connecting Histories of Place. Part II: From Community to Association";
    International Journal of Humanities and Arts Computing, 15 (2021), 5; S. 85 - 100.

  16. Autor/innen: Valeria Vitale, The Alan Turing ...; Pau de Soto, Catalan Institut ...; Rainer Simon, DSAI; Elton Barker, Open University Mil; Leif Isaksen, University of Exeter; Rebecca Kahn, University of Vienna

    V. Vitale, P. de Soto, R. Simon, E. Barker, L. Isaksen, R. Kahn:
    "Pelagios - Connecting Histories of Place. Part I: Methods and Tools";
    International Journal of Humanities and Arts Computing, 15 (2021), 2; S. 5 - 32.

  17. Autor/innen: Sarah Wassermann, DSAI; Thibaut Cuvelier, Centrale Supélec; Pavol Mulinka, CTU Czech Techni ...; Pedro Casas, DSAI

    S. Wassermann, T. Cuvelier, P. Mulinka, P. Casas:
    "Adaptive and Reinforcement Learning Approaches for Online Network Monitoring and Analysis";
    IEEE Transactions on Network and Service Management, 18 (2021), 2; S. 1832 - 1849.

  18. Autor/innen: Sarah Wassermann, DSAI; Michael Seufert, University of Würzbu; Pedro Casas, DSAI; Li Gang, Huawei Technologies; Kuang Li, Huawei Technologies

    S. Wassermann, M. Seufert, P. Casas, L. Gang, K. Li:
    "ViCrypt to the Rescue: Real-time, Machine Learning-driven Video QoE Monitoring for Encrypted Streaming Traffic";
    IEEE Transactions on Network and Service Management, 17 (2020), 4; S. 2007 - 2023.


Buchbeiträge


  1. Autor/innen: Andre Beyer; Andrew Hall; Anika Schwind; Christian Gassner; Fabrice Guillemin; Florian Wamser, University of Würzbu; Krzysztof Wascinski; Matthias Hirth; Michael Seufert, University of Würzbu; Pedro Casas, DSAI; Phuoc Tran-Gia, University of Würzbu; Stefan Wunderer; Tobias Hoßfeld, University of Würzbu; Werner Robitza; Wojciech Wascinski; Zied Ben Houidi, Huawei Technolog ...
    Andere beteiligte Personen: Tobias Hoßfeld, University of Würzbu; Stefan Wunderer

    A. Beyer, A. Hall, A. Schwind, C. Gassner, F. Guillemin, F. Wamser, K. Wascinski, M. Hirth, M. Seufert, P. Casas, P. Tran-Gia, S. Wunderer, T. Hoßfeld, W. Robitza, W. Wascinski, Z. Houidi:
    "White Paper on Crowdsourced Network and QoE Measurements - Definitions, Use Cases and Challenges";
    in: "Fakultät für Mathematik und Informatik / Institut für Informatik", T. Hoßfeld, S. Wunderer (Hrg.); Würzburg University Press (WUP), Würzburg, Germany, 2020, 24 S.

  2. Autor/innen: Andrew Lindley, DSAI; Louise Beltzung, Österreichisches Ins
    Andere beteiligte Personen: Maria Reiffenstein; Beate Blatschek

    A. Lindley, L. Beltzung:
    "Künstliche Intelligenz im Einsatz gegen Internetbetrug - Erfahrungen aus dem Forschungsprojekt SINBAD";
    in: "Konsumentenpolitisches Jahrbuch 2021, Trends, Rechtsentwicklung und Judikatur der letzten zwei Jahre", 50; M. Reiffenstein, B. Blatschek (Hrg.); Verlag Österreich GmbH, 2021, 987-3-7046-8868-2, S. 289 - 307.

  3. Autor/innen: Andrew Lindley, DSAI; Clemens Heistracher, DSAI; Louise Beltzung, Österreichisches Ins; Thorsten Behrens, Österreichisches Ins

    A. Lindley, C. Heistracher, L. Beltzung, T. Behrens:
    "Konsumentenschutz im Online-Handel durch Automatisierung in der Detektion von Fake-Shops";
    in: "Wissenschaf(f)t Sicherheit", 5; BMVIT, Wien, 2021, S. 145 - 155.

  4. Autor/in: Mina Schütz, DSAI
    Andere beteiligte Person: Werner Hülsbuch

    M. Schütz:
    "Detection and Identification of Fake News: Binary Content Classification with Pre-trained Language Models";
    in: "Information between Data and Knowledge - Schriften zur Informationswissenschaft", 74; W. Hülsbuch (Hrg.); vwh Verlag, Glückstadt, Deutschland, 2021, ISBN: 978-3-86488-172-5, S. 422 - 431.

  5. Autor/innen: Mina Schütz, DSAI; Alexander Schindler, DSAI; Melanie Siegel, Darmstadt University; Kawa Nazemi, Darmstadt University

    M. Schütz, A. Schindler, M. Siegel, K. Nazemi:
    "Automatic Fake News Detection with Pre-Trained Transformer Models";
    in: "Pattern Recognition. ICPR International Workshops and Challenges. ICPR 2021. Lecture Notes in Computer Science", 12667; Springer, Cham, 2021, ISBN: 978-3-030-68786-1, S. 627 - 641.


Beiträge in Tagungsbänden


  1. Autor/innen: Gastón García González, Universidad de l ...; Pedro Casas, DSAI; Alicia Fenández, Universidad de l ...; Gabriel Gómez, Universidad de l ...

    G. González, P. Casas, A. Fenández, G. Gómez:
    "On the Usage of Generative Models for Network Anomaly Detection in Multivariate Time-Series";
    in: "ACM SIGMETRICS Performance Evaluation Review", 48; ACM, New York, 2021, ISSN: 0163-5999, S. 49 - 52.

  2. Autor/innen: Rebecca Kahn, Alexander von Humbol; Rainer Simon, DSAI
    Andere beteiligte Personen: Tara Andrews, University of Vienna; Franziska Diehr, Free University of B; Thomas Efer, Saxon Academy of Sci; Andreas Kuczera, University of Applie; Joris van Zundert, KNAW Huygens Institu

    R. Kahn, R. Simon:
    "Feast and Famine: The Problem of Sources for Linked Data Creation";
    in: "Graph Technologies in the Humanities, CEUR Workshop Proceedings", 3110; T. Andrews, F. Diehr, T. Efer, A. Kuczera, J. van Zundert (Hrg.); herausgegeben von: CEUR.org; CEUR, 2022, ISSN: 1613-0073, S. 86 - 100.

  3. Autor/innen: Pavol Mulinka, CTU Czech Techni ...; Pedro Casas, DSAI; Kensuke Fukuda, NII National Ins ...; Lukas Kencl, CTU Czech Techni ...

    P. Mulinka, P. Casas, K. Fukuda, L. Kencl:
    "HUMAN - Hierarchical Clustering for Unsupervised Anomaly Detection & Interpretation";
    in: "2020 11th International Conference on Network of the Future (NoF)", IEEE, New Jersey, 2020, ISBN: 978-1-7281-8055-7, S. 132 - 140.

  4. Autor/innen: Pavol Mulinka, CTU Czech Techni ...; Kensuke Fukuda, NII National Ins ...; Pedro Casas, DSAI; Lukas Kencl, CTU Czech Techni ...

    P. Mulinka, K. Fukuda, P. Casas, L. Kencl:
    "WhatsThat? On the Usage of Hierarchical Clustering for Unsupervised Detection & Interpretation of Network Attacks";
    in: "2020 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW)", IEEE, New Jersey, 2020, ISBN: 978-1-7281-8597-2, S. 574 - 583.

  5. Autor/innen: Lam Pham, DSAI; Chris Baume, BBC Research and ...; Qiuqiang Kong, ByteDance AI Lab; Tassadaq Hussain, Center for Visio ...; Wenwu Wang, Center for Visio ...; Mark Plumbley, Center for Visio ...

    L. Pham, C. Baume, Q. Kong, T. Hussain, W. Wang, M. Plumbley:
    "An Audio-Based Deep Learning Framework For BBC Television Programme Classification";
    in: "2021 28th European Signal Processing Conference (EUSIPCO)", IEEE, USA, 2021, ISBN: 978-9-0827-9705-3, S. 1 - 5.

  6. Autor/innen: Jan Rörden, DSAI; Rainer Simon, DSAI; Doris Gruber, ÖAW; Martin Krickl, Österr. National ...; Bernhard Haslhofer, DSAI

    J. Rörden, R. Simon, D. Gruber, M. Krickl, B. Haslhofer:
    "Semi-automatic Identification of Travelogues";
    in: "Book of Abstracts, Digital Humanities Conference 2020 (DH2020)", DH2020 Conference, Ottawa, Canada, 2020, 475 S.

  7. Autor/innen: Michael Seufert, University of Würzbu; Viktoria Wieser, University of Würzbu; Pedro Casas, DSAI; Germán Capdehourat, Universidad de l ...

    M. Seufert, V. Wieser, P. Casas, G. Capdehourat:
    "Mind the (QoE) Gap: On the Incompatibility of Web and Video QoE Models in the Wild";
    in: "2020 16th International Conference on Network and Service Management (CNSM)", IEEE, New Jersey, 2020, ISBN: 978-3-903176-31-7, S. 1 - 5.

  8. Autor/innen: Rainer Stütz, DSAI; Peter Gazi, IOHK; Bernhard Haslhofer, DSAI; Jacob Illum, Chainalisys

    R. Stütz, P. Gazi, B. Haslhofer, J. Illum:
    "Stake Shift in Major Cryptocurrencies: An Empirical Study";
    in: "Financial Cryptography and Data Security", Financial Cryptography and Data Security. FC 2020. Lecture Notes in Computer Science; Springer, Cham, 2020, ISBN: 978-3-030-51279-8, S. 1 - 20.

  9. Autor/innen: Sarah Wassermann, DSAI; Pedro Casas, DSAI; Zied Ben Houidi, Huawei Technolog ...; Alexis Huet, Huawei Technolog ...; Michael Seufert, University of Würzbu; Nikolas Wehner, University of Würzbu; Joshua Schüler, University of Würzbu; Shengming Cai, Huawei Technolog ...; Hao Shi, Huawei Technolog ...; Jinchun Xu, Huawei Technolog ...; Tobias Hossfeld, University of Würzbu; Dario Rossi, Huawei Technolog ...

    S. Wassermann, P. Casas, Z. Houidi, A. Huet, M. Seufert, N. Wehner, J. Schüler, S. Cai, H. Shi, J. Xu, T. Hossfeld, D. Rossi:
    "Are you on Mobile or Desktop? On the Impact of End-User Device on Web QoE Inference from Encrypted Traffic";
    in: "2020 16th International Conference on Network and Service Management (CNSM)", IEEE, New Jersey, 2020, ISBN: 978-3-903176-31-7, S. 1 - 9.

  10. Autor/innen: Nikolas Wehner, University of Würzbu; Michael Seufert, University of Würzbu; Joshua Schüler, University of Würzbu; Sarah Wassermann, DSAI; Pedro Casas, DSAI; Tobias Hoßfeld, University of Würzbu

    N. Wehner, M. Seufert, J. Schüler, S. Wassermann, P. Casas, T. Hoßfeld:
    "Improving Web QoE Monitoring for Encrypted Network Traffic through Time Series Modeling";
    in: "ACM SIGMETRICS Performance Evaluation Review", 48; ACM, New York, 2021, ISSN: 0163-5999, S. 37 - 40.

  11. Autor/innen: Nikolas Wehner, University of Würzbu; Michael Seufert, University of Würzbu; Viktoria Wieser, University of Würzbu; Pedro Casas, DSAI; Germán Capdehourat, Universidad de l ...

    N. Wehner, M. Seufert, V. Wieser, P. Casas, G. Capdehourat:
    "Quality that Matters: QoE Monitoring in Education Service Provider (ESP) Networks";
    in: "2021 IFIP/IEEE International Symposium on Integrated Network Management (IM)", IEEE, New Jersey, 2021, ISBN: 978-3-903176-32-4, S. 830 - 835.


Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag)


  1. Autor/innen: Jaqueline Boeck, St. Pölten Unive ...; Daria Liakhovets, DSAI; Mina Schütz, DSAI; Armin Kirchknopf, St. Pölten Unive ...; Djordje Slijepcevic, St. Pölten Unive ...; Matthias Zeppelzauer, St. Pölten Unive ...; Alexander Schindler, DSAI

    J. Boeck, D. Liakhovets, M. Schütz, A. Kirchknopf, D. Slijepcevic, M. Zeppelzauer, A. Schindler:
    "AIT_FHSTP at GermEval 2021: Automatic Fact Claiming Detection withMultilingual Transformer Models";
    Vortrag: 17th Conference on Natural Language Processing KONVENS 2021, Duesseldorf, Germany (eingeladen); 06.09.2021; in: "Proceedings of the GermEval 2021 Workshop on the Identification of Toxic, Engaging, and Fact-Claiming Comments", netlibrary, Düsseldorf, Germany, (2021), 6 Seiten.

  2. Autor/innen: Johannes Bogensperger, Vienna University of; Sven Schlarb, DSAI; Allan Hanbury, Vienna University of; Gábor Recski, Vienna University of

    J. Bogensperger, S. Schlarb, A. Hanbury, G. Recski:
    "DreamDrug - A crowdsourced NER dataset for detecting drugs in darknet markets";
    Vortrag: Seventh Workshop on Noisy User-generated Text, Online; 11.11.2021; in: "Proceedings of the Seventh Workshop on Noisy User-generated Text", Association for Computational Linguistics, (2021), ISBN: 978-1-954085-90-9; S. 137 - 157.

  3. Autor/in: Pedro Casas, DSAI

    P. Casas:
    "Two Decades of AI4NETS - Challenges & Research Directions";
    Vortrag: 32th IEEE/IFIP Network Operations and Management Symposium, NOMS 2020, 5th IEEE/IFIP International Workshop on Analytics for Network and Service Management, AnNet 2020, Budapest, Hungary; 20.04.2020 - 24.04.2020; in: "NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium", Ifip, Ieee, (2020), ISBN: 978-1-7281-4973-8; S. 1 - 6.

  4. Autor/innen: Pedro Casas, DSAI; Gonzalo Marin; Germán Capdehourat, Universidad de l ...

    P. Casas, G. Marin, G. Capdehourat:
    "Deep in the Dark - Deep Learning-based Malware Traffic Detection Without Expert Knowledge";
    Vortrag: IEEE S&P 2019 Workshops, 2nd Workshop on Deep Learning and Security (DLS), San Francisco, USA; 19.05.2019 - 23.05.2019; in: "2019 IEEE Security and Privacy Workshops (SPW)", IEEE, (2019), ISBN: 978-1-7281-3508-3; S. 36 - 42.

  5. Autor/innen: Pedro Casas, DSAI; Gonzalo Marin; Germán Capdehourat, Universidad de l ...; Maciej Korczynski, Grenoble Alpes U ...

    P. Casas, G. Marin, G. Capdehourat, M. Korczynski:
    "MLSEC - Benchmarking Shallow and Deep Machine Learning Models for Network Security";
    Vortrag: IEEE S&P 2019 Workshops, 4th Workshop on Traffic Measurements for Cybersecurity (WTMC), San Francisco, USA; 19.05.2019 - 23.05.2019; in: "2019 IEEE Security and Privacy Workshops (SPW)", IEEE, (2019), ISBN: 978-1-7281-3508-3; S. 230 - 235.

  6. Autor/innen: Pedro Casas, DSAI; Pavol Mulinka, CTU Czech Techni ...; Juan Vanerio
    Andere beteiligte Personen: Peter Haber, Springer Nature; Thomas Lampoltshammer, Danube University Kr; Manfred Mayr, Springer Nature; Kathrin Plankensteiner, Springer Nature

    P. Casas, P. Mulinka, J. Vanerio:
    "NetSEC at High-Speed: Distributed Stream Learning for Security in Big Networking Data";
    Vortrag: 3rd International Data Science Conference (IDSC) 2020, Dornbirn, Austria; 13.05.2020; in: "Data Science - Analytics and Applications, Proceedings of the 3rd International Data Science Conference - iDSC2020", P. Haber, T. Lampoltshammer, M. Mayr, K. Plankensteiner (Hrg.); Springer Vieweg, (2020), ISBN: 9783658321819; S. 1 - 9.

  7. Autor/innen: Pedro Casas, DSAI; Matteo Romiti, DSAI; Peter Holzer, DSAI; Sami Ben Mariem, University of Liege; Benoit Donnet, University of Liege; Bernhard Haslhofer, DSAI

    P. Casas, M. Romiti, P. Holzer, S. Mariem, B. Donnet, B. Haslhofer:
    "Where is the Light(ning) in the Taproot Dawn? Unveiling the Bitcoin Lightning (IP) Network";
    Vortrag: 2021 IEEE 10th International Conference on Cloud Networking (CloudNet), 08.11.2021 - 10.11.2021; in: "2021 IEEE 10th International Conference on Cloud Networking (CloudNet)", IEEE, (2021), ISBN: 978-1-6654-3538-3; S. 87 - 90.

  8. Autor/innen: Pedro Casas, DSAI; Michael Seufert, University of Würzbu; Sarah Wassermann, DSAI; Bruno Gardlo, ECT; Nikolas Wehner, University of Würzbu; Raimund Schatz, ECT

    P. Casas, M. Seufert, S. Wassermann, B. Gardlo, N. Wehner, R. Schatz:
    "DeepCrypt - Deep Learning for Video QoE Monitoring and Fingerprinting of User Actions";
    Vortrag: IEEE International Conference on Network Softwarization - NetSoft 2022, 26.06.2022 - 01.07.2022; in: "2022 IEEE 8th International Conference on Network Softwarization (NetSoft)", (2022), ISBN: 978-1-6654-0694-9; S. 259 - 263.

    Zusätzliche Informationen

  9. Autor/innen: Pedro Casas, CDT; Sarah Wassermann, DSAI

    P. Casas, S. Wassermann:
    "Improving QoE Prediction in Mobile Video through Machine Learning";
    Vortrag: 8th International Conference on the Network of the Future, NOF 2017, London, UK; 22.11.2017 - 24.11.2017; in: "Proceedings of the 8th International Conference on the Network of the Future, NOF 2017", IEEE, 1 (2017), ISBN: 978-1-5386-0554-7; S. 1 - 7.

  10. Autor/innen: Pedro Casas, DSAI; Sarah Wassermann, DSAI; Nikolas Wehner, University of Würzbu; Michael Seufert, University of Würzbu; Tobias Hossfeld, University of Würzbu

    P. Casas, S. Wassermann, N. Wehner, M. Seufert, T. Hossfeld:
    "Not all Web Pages are Born the Same. Content Tailored Learning for Web QoE Inference";
    Vortrag: IEEE International Symposium on Measurements & Networking (M&N 2020), 18.07.2022 - 20.07.2022; in: "2022 IEEE International Symposium on Measurements & Networking (M&N)", IEEE, (2022), ISBN: 978-1-6654-8362-9; S. 1 - 6.

  11. Autor/innen: Pedro Casas, DSAI; Sarah Wassermann, DSAI; Nikolas Wehner, University of Würzbu; Michael Seufert, University of Würzbu; Joshua Schüler, University of Würzbu; Tobias Hossfeld, University of Würzbu

    P. Casas, S. Wassermann, N. Wehner, M. Seufert, J. Schüler, T. Hossfeld:
    "Mobile Web and App QoE Monitoring for ISPs - from Encrypted Traffic to Speed Index through Machine Learning";
    Vortrag: 13th IFIP Wireless and Mobile Networking Conference, 20.10.2021 - 22.10.2021; in: "2021 13th IFIP Wireless and Mobile Networking Conference (WMNC)", IEEE, (2021), ISBN: 978-3-903176-42-3; S. 40 - 47.

  12. Autor/innen: Carmina Coronel, SVS; Christoph Wiesmeyr, SVS; Heinrich Garn, SVS; Bernhard Kohn, SVS; Anahid Naghibzadeh-Jalali, DSAI; Alexander Schindler, DSAI; Markus Wimmer, Kepler Universit ...; Magdalena Mandl, Kepler Universit ...; Martin Glos, Advanced Sleep R ...; Thomas Penzel, Advanced Sleep R ...; Gerhard Klösch, Meduni Wien; Andrijana Stefanic-Kejik, Meduni Wien; Marion Böck, Meduni Wien; Eugenijus Kaniusas, Vienna Universit ...; Stefan Seidel, Meduni Wien

    C. Coronel, C Wiesmeyr, H. Garn, B. Kohn, A. Naghibzadeh-Jalali, A. Schindler, M. Wimmer, M. Mandl, M. Glos, T. Penzel, G. Klösch, A. Stefanic-Kejik, M. Böck, E. Kaniusas, S. Seidel:
    "Comparison of PSG signals and Respiratory Movement Signal via 3D Camera in Detecting Sleep Respiratory Events by LSTM Models";
    Vortrag: Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) 2020 Asia-Pacific, Auckland, New Zealand (ONLINE); 07.12.2020 - 10.12.2020; in: "2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)", IEEE, (2020), ISBN: 978-988-14768-8-3.

  13. Autor/innen: Olivia Dinica, DSAI; Pedro Casas, DSAI; Juan Vanerio

    O. Dinica, P. Casas, J. Vanerio:
    "Should I (re)Learn or Should I Go(on)? Stream Machine Learning for Adaptive Defense against Network Attacks";
    Vortrag: 26th ACM Conference on Computer and Communications Security (CCS), 6th ACM Workshop on Moving Target Defense (MTD), London, UK; 11.11.2019 - 15.11.2019; in: "MTD'19: Proceedings of the 6th ACM Workshop on Moving Target Defense", ACM New York, NY, USA, (2019), ISBN: 978-1-4503-6828-5; S. 79 - 88.

  14. Autor/innen: Refiz Duro, CDT; Drazen Ignjatović, CDT; Jasmin Lampert, DSAI; Rainer Simon, DSAI; Christoph Singewald, Syncpoint

    R. Duro, D. Ignjatović, J. Lampert, R. Simon, C. Singewald:
    "Empowering reconnaissance processes through digitalization";
    Vortrag: IDIMT - Interdisciplinary Information Management Talks 2022, 07.09.2022 - 09.09.2022; in: "30th Interdisciplinary Information Management Talks", Universitätsverlag Rudolf Trauner, 51 (2022), ISBN: 978-3-99113-758-0; S. 145 - 152.

  15. Autor/innen: Gastón García González, Universidad de l ...; Pedro Casas, DSAI; Alicia Fernández, Universidad de l ...; Gabriel Gómez, Universidad de l ...

    G. González, P. Casas, A. Fernández, G. Gómez:
    "Network Anomaly Detection with Net-GAN, a Generative Adversarial Network for Analysis of Multivariate Time-Series";
    Poster: ACM SIGCOMM 2020 Conference, Online; 11.08.2020 - 13.08.2020; in: "Proceedings of the ACM SIGCOMM 2020 Conference Posters and Demos", ACM, (2021), ISBN: 978-1-4503-8048-5; S. 48 - 50.

  16. Autor/innen: Gastón García González, Universidad de l ...; Pedro Casas, DSAI; Alicia Fernández, Universidad de l ...; Gabriel Gómez, Universidad de l ...

    G. González, P. Casas, A. Fernández, G. Gómez:
    "Steps Towards Continual Learning in Multivariate Time-Series Anomaly Detection using Variational Autoencoders";
    Poster: 22nd ACM Internet Measurement Conference, 25.10.2022 - 27.10.2022; in: "Proceedings of the 22nd ACM Internet Measurement Conference", Association for Computing Machinery, New York, NY, USA (2022), ISBN: 9781450392594; S. 774 - 775.

  17. Autor/innen: Gastón García González, Universidad de l ...; Sergio Martinez Tagliafico, Universidad de l ...; Alicia Fernández, Universidad de l ...; Gabriel Gómez, Universidad de l ...; José Acuña, Universidad de l ...; Pedro Casas, DSAI

    G. González, S. Martinez Tagliafico, A. Fernández, G. Gómez, J. Acuña, P. Casas:
    "DC-VAE, Fine-grained Anomaly Detection in Multivariate Time-Series with Dilated Convolutions and Variational Auto Encoders";
    Poster: 7th Workshop on Traffic Measurements for Cybersecurity (WTMC), 06.06.2022; in: "IEEE European Symposium on Security and Privacy Workshops (EuroS&PW 2022)", IEEE, (2022), ISBN: 978-1-6654-9560-8; S. 287 - 293.

  18. Autor/innen: Sergiu Gordea, DSAI; Monica Lestari Paramita, University of Sh ...; Antoine Isaac, Free University ...
    Andere beteiligte Personen: Denis Helic, AWAC Austrian Web Ap; Gerhard Leitner; Martin Stettinger; Alexander Felfernig; Zbigniew W. Raś

    S. Gordea, M. Lestari Paramita, A. Isaac:
    "Named Entity Recommendations to Enhance Multilingual Retrieval in Europeana.eu";
    Vortrag: Foundations of Intelligent Systems / International Symposium on Methodologies for Intelligent Systems ISMIS 2020, Online; 23.09.2020 - 25.09.2020; 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.

  19. Autor/innen: Anita Graser, DSAI; Hao Cheng, Leibniz Universi ...; Tao Cheng, University Colle ...; Ioannis Giannopoulos, TU Wien, AT; Daniel Nüst, Universität Müns ...; Martin Tomko, The University o ...; Yanan Xin, ETH Zürich, CH

    A. Graser, H. Cheng, T. Cheng, I. Giannopoulos, D. Nüst, M. Tomko, Y. Xin:
    "Urban Mobility Analytics - Group on Methods and Explainability";
    Vortrag: Urban Mobility Analytics, 18.04.2022 - 22.04.2022; in: "Dagstuhl Reports", Schloss Dagstuhl -- Leibniz-Zentrum für Informatik, 12 (2022), ISSN: 2192-5283; S. 26 - 53.

  20. Autor/innen: Anita Graser, DSAI; Clemens Heistracher, DSAI; Viktorija Pruckovskaja, Vienna University of

    A. Graser, C. Heistracher, V. Pruckovskaja:
    "On the Role of Spatial Data Science for Federated Learning";
    Vortrag: Spatial Data Science Symposium (SDSS 2022), 22.09.2022 - 23.09.2022; in: "Spatial Data Science Symposium 2022 Short Paper Proceedings", UC Santa Barbara: Center for Spatial Studies, (2022), S. 1 - 8.

  21. Autor/innen: Clemens Heistracher, DSAI; Anahid Naghibzadeh-Jalali, DSAI; Indu Strobl, Siemens Austria; Axel Suendermann, Siemens Austria; Sebastian Meixner, Siemens Austria; Stephanie Holly, Siemens Austria; Daniel Schall, Siemens Austria; Bernhard Haslhofer, DSAI; Jana Kemnitz, Siemens Austria

    C. Heistracher, A. Naghibzadeh-Jalali, I. Strobl, A. Suendermann, S. Meixner, S. Holly, D. Schall, B. Haslhofer, J. Kemnitz:
    "Transfer learning strategies for anomaly detection in iot vibration data";
    Vortrag: 47th Annual Conference of the IEEE Industrial Electronics Society, 13.10.2021 - 16.10.2021; in: "IECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society", IEEE, (2021), ISSN: 2577-1647; S. 1 - 6.

  22. Autor/innen: Clemens Heistracher, DSAI; Sven Schlarb, DSAI; Franck Mignet, Thales Research ...

    C. Heistracher, S. Schlarb, F. Mignet:
    "Machine Learning Techniques for the Classification of Product Descriptions from Darknet Marketplaces";
    Vortrag: 11th International Conference on Applied Informatics (ICAI 2020), Eger, Hungary; 29.01.2020 - 31.01.2020; in: "Proceedings of the 11th International Conference on Applied Informatics (ICAI 2020)", CEUR-WS.org, Eger, Hungary (2020), 9 Seiten.

  23. Autor/innen: Truong Hoang; Lam Pham, DSAI; Dat Ngo; Hoang D Nguyen

    T. Hoang, L. Pham, D. Ngo, H. Nguyen:
    "A Cough-Based Deep Learning Framework For Detecting Covid-19";
    Vortrag: 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 11.07.2022 - 15.07.2022; in: "44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)", Institute of Electrical and Electronics Engineers Inc. (IEEE), 3422-3425/ NJ (2022), ISBN: 978-1-7281-1179-7; S. 1 - 11.

  24. Autor/innen: Drazen Ignjatović, CDT; Rainer Simon, DSAI; Georg Neubauer, CDT; Johannes Pan, Graz University of T; Clemens Gutschi, Graz University of T

    D. Ignjatović, R. Simon, G. Neubauer, J. Pan, C. Gutschi:
    "Use Of Social Media And Open Source Data To Enhance Situational Awareness In The Austrian Crisis And Disaster Management";
    Vortrag: IDIMT 2021 - 29th Interdisciplinary Information Management Talks, Kutná Hora, Czech Republic; 01.09.2021 - 03.09.2021; in: "Pandemics: Impacts, Strategies and Responses", Trauner Verlag, Linz, 50 (2021), ISBN: 978-3-99113-261-5; S. 175 - 182.

  25. Autor/innen: Jasmin Lampert, DSAI; H. Christoph Lampert, Institute of Science

    J. Lampert, H.C. Lampert:
    "Overcoming Rare-Language Discrimination in Multi-Lingual Sentiment Analysis";
    Vortrag: IEEE International Conference on Big Data 2021, Special Issue "ML and Big Data", 15.12.2021 - 18.12.2021; in: "2021 IEEE International Conference on Big Data", IEEE, (2021), ISBN: 978-1-6654-3902-2; S. 5185 - 5192.

  26. Autor/innen: Arturs Lavrenovs; Roman Graf, DSAI; Kimmo Heinäaro

    A. Lavrenovs, R. Graf, K. Heinäaro:
    "Towards Classifying Devices on the Internet Using Artificial Intelligence";
    Vortrag: 2020 12th International Conference on Cyber Conflict: The Next Decade, Tallinn, Estonia; 26.05.2020 - 29.05.2020; in: "Proceedings of the 2020 12th International Conference on Cyber Conflict: The Next Decade", NATO CCD COE Publications, Tallinn, (2020), ISBN: 978-9949-9904-6-7; 17 Seiten.

  27. Autor/innen: Daria Liakhovets, DSAI; Sven Schlarb, DSAI

    D. Liakhovets, S. Schlarb:
    "Zero-shot Event Causality Identification with Question Answering";
    Vortrag: International Conference on Computational Linguistics in Bulgaria (CLIB 2022), 08.09.2022 - 09.09.2022; in: "Proceedings of the Fifth International Conference Computational Linguistics in Bulgaria (CLIB 2022)", Bulgarian Academy of Sciences, Bulgaria (2022), ISSN: 2367-5675; S. 113 - 119.

  28. Autor/innen: Andrew Lindley, DSAI; Olivia Dinica, DSAI; Louise Beltzung, Österreichisches Ins; Nadin Hermann; Raphaela Lindner

    A. Lindley, O. Dinica, L. Beltzung, N. Hermann, R. Lindner:
    "Real-Time Detection of Fake-Shops through Machine Learning";
    Vortrag: 2020 IEEE International Conference on Big Data(IEEE BigData 2020) - The 4th International Workshop on Big Data Analytic for Cybercrime Investigation and Prevention, Virtuell; 10.12.2020 - 13.12.2020; 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, (2020), ISBN: 978-1-7281-6251-5; Paper-Nr. S08213, 9 Seiten.

  29. Autor/innen: Lorenzo Maggi; Jeremy Leguay; Michael Seufert, University of Würzbu; Pedro Casas, DSAI

    L. Maggi, J. Leguay, M. Seufert, P. Casas:
    "Online Detection of Stalling and Scrubbing in Adaptive Video Streaming";
    Vortrag: 17th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WIOPT 2019, Avignon, France; 03.06.2019 - 07.06.2019; in: "17th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WIOPT 2019", IFIP, (2019), ISBN: 978-3-903176-00-3; S. 1 - 8.

  30. Autor/innen: Sami Ben Mariem, University of Liege; Pedro Casas, DSAI; Matteo Romiti, DSAI; Benoit Donnet, University of Liege; Rainer Stütz, DSAI; Bernhard Haslhofer, DSAI

    S. Mariem, P. Casas, M. Romiti, B. Donnet, R. Stütz, B. Haslhofer:
    "All that Glitters is not Bitcoin - Unveiling the Centralized Nature of the BTC (IP) Network";
    Vortrag: 32th IEEE/IFIP Network Operations and Management Symposium, NOMS 2020, Budapest, Hungary; 20.04.2020 - 24.04.2020; in: "NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium", Ifip, Ieee, (2020), ISBN: 978-1-7281-4973-8; S. 1 - 9.

  31. Autor/innen: Gonzalo Marin; Pedro Casas, DSAI; Germán Capdehourat, Universidad de l ...
    Andere beteiligte Personen: Peter Haber, Springer Nature; Thomas Lampoltshammer, Danube University Kr; Manfred Mayr, Springer Nature; Kathrin Plankensteiner, Springer Nature

    G. Marin, P. Casas, G. Capdehourat:
    "DeepMAL - Deep Learning Models for Malware Traffic Detection and Classification";
    Vortrag: 3rd International Data Science Conference (IDSC) 2020, Wien; 13.05.2020; in: "Data Science - Analytics and Applications, Proceedings of the 3rd International Data Science Conference - iDSC2020", P. Haber, T. Lampoltshammer, M. Mayr, K. Plankensteiner (Hrg.); Springer NATURE, (2020), 978-3-658-35703-6; S. 1 - 9.

  32. Autor/innen: Mohamed Mokbel; Mahmoud Sakr; Li Xiong; Andreas Züfle; Jussara Almeida; Taylor Anderson; Walid Aref, Purdue University; Gennady Andrienko; Natalia Andrienko; Yang Cao; Sanjay Chawla; Reynold Cheng; Panos Chrysanthis; Xiqi Fei; Gabriel Ghinita; Anita Graser, DSAI; Dimitrios Gunopulos; Christian Jensen; Joon-Sook Kim; Kyoung-Sook Kim; Peer Kröger; John Krumm; Johannes Lauer; Amr Magdy; Mario Nascimento; Siva Ravada; Matthias Renz; Dimitris Sacharidis; Cyrus Shahabi; Flora Salim; Mohamed Sarwat; Maxime Schoemans; Bettina Speckmann; Egemen Tanin; Yannis Theodoridis; Kristian Torp; Goce Trajcevski; Marc van Kreveld; Carola Wenk; Martin Werner; Raymond Wong; Song Wu; Jianqiu Xu; Moustafa Youssef; Demetris Zeinalipour; Mengxuan Zhang; Esteban Zimányi

    M. Mokbel, M. Sakr, L. Xiong, A. Züfle, J. Almeida, T. Anderson, W. Aref, G. Andrienko, N. Andrienko, Y. Cao, S. Chawla, R. Cheng, P. Chrysanthis, X. Fei, G. Ghinita, A. Graser, D. Gunopulos, C. Jensen, J. Kim, K. Kim, P. Kröger, J. Krumm, J. Lauer, A. Magdy, M. Nascimento, S. Ravada, M. Renz, D. Sacharidis, C. Shahabi, F. Salim, M. Sarwat, M. Schoemans, B. Speckmann, E. Tanin, Y. Theodoridis, K. Torp, G. Trajcevski, M. van Kreveld, C. Wenk, M. Werner, R. Wong, S. Wu, J. Xu, M. Youssef, D. Zeinalipour, M. Zhang, E. Zimányi:
    "Mobility Data Science";
    Vortrag: Mobility Data Science (Dagstuhl Seminar 22021), 10.01.2022 - 14.01.2022; in: "Dagstuhl Reports", 12 (2022), ISSN: 2192-5283; S. 1 - 34.

  33. Autor/innen: Andrea Morichetta, DSAI; Pedro Casas, DSAI; Marco Mellia, Politecnico die ...

    A. Morichetta, P. Casas, M. Mellia:
    "EXPLAIN-IT: Towards Explainable AI for Unsupervised Network Traffic Analysis";
    Vortrag: 3rd ACM CoNEXT Workshop on Big DAta, Machine Learning and Artificial Intelligence for Data Communication Networks (Big-DAMA 2019), Orlando, Florida, USA; 09.12.2019 - 12.12.2019; in: "Proceedings of the 3rd ACM CoNEXT Workshop on Big DAta, Machine Learning and Artificial Intelligence for Data Communication Networks (Big-DAMA 2019)", ACM New York, NY, USA, (2019), ISBN: 978-1-4503-6999-2; S. 22 - 28.

  34. Autor/innen: Pavol Mulinka, CTU Czech Techni ...; Pedro Casas, DSAI; Juan Vanerio

    P. Mulinka, P. Casas, J. Vanerio:
    "Continuous and Adaptive Learning over Big Streaming Data for Network Security";
    Vortrag: 8th IEEE International Conference on Cloud Networking (CloudNet 2019), Coimbra, Portugal; 04.11.2019 - 06.11.2019; in: "2019 IEEE 8th International Conference on Cloud Networking (CloudNet)", IEEE, (2019), ISBN: 978-1-7281-4832-8; S. 1 - 4.

  35. Autor/innen: Anahid Naghibzadeh-Jalali, DSAI; Clemens Heistracher, DSAI; Alexander Schindler, DSAI; Bernhard Haslhofer, DSAI; Tanja Nemeth; Robert Glawar; Wilfried Sihn; Peter De Boer

    A. Naghibzadeh-Jalali, C. Heistracher, A. Schindler, B. Haslhofer, T. Nemeth, R. Glawar, W. Sihn, P. De Boer:
    "Predicting Time-to-Failure of Plasma Etching Equipment using Machine Learning";
    Vortrag: IEEE International Conference on Prognostics and Health Management (PHM2019), San Francisco, CA, USA (eingeladen); 17.06.2019 - 19.06.2019; in: "2019 IEEE International Conference on Prognostics and Health Management (ICPHM)", IEEE, San Francisco, CA, USA, (2019), ISBN: 978-1-5386-8357-6; S. 1 - 8.

  36. Autor/innen: Anahid Naghibzadeh-Jalali, DSAI; Alexander Schindler, DSAI; Bernhard Haslhofer, DSAI; Andreas Rauber, Vienna University of

    A. Naghibzadeh-Jalali, A. Schindler, B. Haslhofer, A. Rauber:
    "Machine Learning Interpretability Techniques for Outage Prediction: A Comparative Study";
    Vortrag: Prognostics and Health Management Europe, Online (eingeladen); 27.07.2020 - 31.07.2020; in: "PHM papers PROCEEDINGS 2020", 5/1 (2020), ISBN: 978-1-936263-32-5; S. 1 - 10.

  37. Autor/innen: Dat Ngo; Lam Pham, DSAI; Truong Hoang; Sefki Kolozali; Delaram Jarchi

    D. Ngo, L. Pham, T. Hoang, S. Kolozali, D. Jarchi:
    "Audio-based deep learing Frameworks for detecting COVID-19";
    Vortrag: 2022 29th European Signal Processing Conference (EUSIPCO), 29.08.2022 - 02.09.2022; in: "European Signal Processing Conference", IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC (IEEE), 1233-1237 (2022), ISBN: 978-1-6654-6797-1; S. 1 - 5.

  38. Autor/innen: Dat Ngo; Lam Pham, DSAI; Anh Nguyen; Ben Phan; Khoa Tran; Truong Nguyen

    D. Ngo, L. Pham, A. Nguyen, B. Phan, K. Tran, T. Nguyen:
    "Deep Learning Framework Applied For Predicting Anomaly of Respiratory Sounds";
    Vortrag: International Symposium on Electrical and Electronics Engineering (ISEE), Ho Chi Minh, Vietnam (eingeladen); 15.04.2021 - 16.04.2021; in: "2021 International Symposium on Electrical and Electronics Engineering (ISEE)", IEEE, (2021), ISBN: 978-1-6654-1487-6; 5 Seiten.

  39. Autor/innen: Thi Ngoc; Tho Nguyen; Ngoc Khanh Nguyen; Huy Phan; Lam Pham, DSAI; Kenneth Ooi; Douglas Jones; Woon-Seng Gan

    T. Ngoc, T. Nguyen, N. Khanh Nguyen, H. Phan, L. Pham, K. Ooi, D. Jones, W. Gan:
    "A General Network Architecture for Sound Event Localization and Detection Using Transfer Learning and Recurrent Neural Network";
    Vortrag: 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toronto, Canada (eingeladen); 06.06.2021 - 11.06.2021; in: "ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)", Institute of Electrical and Electronics Engineers Inc. (IEEE); NJ, (2021), ISBN: 978-1-7281-7605-5; 4 Seiten.

  40. Autor/innen: Héctor Ochoa Ortiz, Vienna University of; Georg Gartner, Vienna University of; Anita Graser, DSAI
    Andere beteiligte Personen: Georg Gartner, Vienna University of; A. Binn; O. Ignateva

    H. Ochoa Ortiz, G. Gartner, A. Graser:
    "Pedestrian routing of periodically changing areas using Volunteered Geographical Information (OpenStreetMap)";
    Vortrag: European Cartographic Conference - EuroCarto 2022, 19.09.2022 - 21.09.2022; in: "Abstracts of the International Cartographic Association", G. Gartner, A. Binn, O. Ignateva (Hrg.); 5 (2022), S. 1 - 2.

  41. Autor/innen: Masarah Paquet-Clouston, GoSecure; Matteo Romiti, DSAI; Bernhard Haslhofer, DSAI; Thomas Charvat, Excello

    M. Paquet-Clouston, M. Romiti, B. Haslhofer, T. Charvat:
    "Spams meet Cryptocurrencies: Sextortion in the Bitcoin Ecosystem";
    Vortrag: Advances in Financial Technologies, Zurich, Switzerland (eingeladen); 21.10.2019 - 23.10.2019; in: "Proceedings of the 1st ACM Conference on Advances in Financial Technologies", 1 (2019), ISBN: 978-1-4503-6732-5; 12 Seiten.

  42. Autor/innen: Lam Pham, DSAI; Dat Ngo; Tho Nguyen; Phu Tran; Truong Hoang; Alexander Schindler, DSAI

    L. Pham, D. Ngo, T. Nguyen, P. Tran, T. Hoang, A. Schindler:
    "An Audio-Visual Dataset and Deep Learning Frameworks for Crowded Scene Classification";
    Vortrag: 19th International Conference on Content-based Multimedia Indexing - CBMI 2022, 11.07.2022 - 15.07.2022; in: "19th International Conference on Content-based Multimedia Indexing - CBMI 2022", 6/23-28/New York, NY, USA (2022), ISBN: 9781450397209; S. 1 - 7.

  43. Autor/innen: Lam Pham, DSAI; Dat Ngo; Khoa Tran; Truong Hoang; Alexander Schindler, DSAI; Ian McLoughlin

    L. Pham, D. Ngo, K. Tran, T. Hoang, A. Schindler, I. McLoughlin:
    "An Ensemble of Deep Learning Frameworks Applied For Predicting Respiratory Anomalies";
    Vortrag: 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 11.07.2022 - 15.07.2022; in: "44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)", Institute of Electrical and Electronics Engineers Inc. (IEEE), 4595-4598/ NJ (2022), ISBN: 978-1-7281-1179-7; S. 1 - 4.

  44. Autor/innen: Lam Pham, DSAI; Alexander Schindler, DSAI; Mina Schütz, DSAI; Jasmin Lampert, DSAI; Sven Schlarb, DSAI; Ross King, DSAI
    Andere beteiligte Personen: Peter Haber, Springer Nature; Thomas Lampoltshammer, Danube University Kr; Helmut Leopold, DSS; Manfred Mayr, Springer Nature

    L. Pham, A. Schindler, M. Schütz, J. Lampert, S. Schlarb, R. King:
    "Deep Learning Frameworks Applied For Audio-Visual Scene Classification";
    Vortrag: th International Data Science Conference - iDSC2021, 20.11.2021 - 21.11.2021; in: "Proceedings of the 4th International Data Science Conference - iDSC2021", P. Haber, T. Lampoltshammer, H. Leopold, M. Mayr (Hrg.); (2021), ISBN: 978-3-658-36294-2; S. 57 - 62.

  45. Autor/innen: Lam Pham, DSAI; Hieu Tang, Hongik University; Anahid Naghibzadeh-Jalali, DSAI; Alexander Schindler, DSAI; Ross King, DSAI
    Andere beteiligte Personen: Peter Haber, Springer Nature; Thomas Lampoltshammer, Danube University Kr; Helmut Leopold, DSS; Manfred Mayr, Springer Nature

    L. Pham, H. Tang, A. Naghibzadeh-Jalali, A. Schindler, R. King:
    "A Low-Complexity Deep Learning Framework For Acoustic Scene Classification";
    Vortrag: 4th International Data Science Conference - iDSC2021, 20.11.2021 - 21.11.2021; in: "Proceedings of the 4th International Data Science Conference - iDSC2021", P. Haber, T. Lampoltshammer, H. Leopold, M. Mayr (Hrg.); (2021), ISBN: 978-3-658-36294-2; S. 45 - 50.

  46. Autor/innen: Huy Phan; Huy Le Nguyen; Oliver Y. Chen; Lam Pham, DSAI; Philipp Koch; Ian McLoughlin; Alfred Mertins

    H. Phan, H. Nguyen, O. Chen, L. Pham, P. Koch, I. McLoughlin, A. Mertins:
    "Multi-view Audio And Music Classification";
    Vortrag: 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toronto, Canada (eingeladen); 06.06.2021 - 11.06.2021; in: "ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)", Institute of Electrical and Electronics Engineers Inc. (IEEE); NJ, (2021), ISBN: 978-1-7281-7605-5; 4 Seiten.

  47. Autor/innen: Matteo Romiti, DSAI; Friedhelm Victor, Technical University; Pedro Moreno-Sanchez, IMDEA Madrid; Peter Nordholt, Chainalysis; Bernhard Haslhofer, DSAI; Matteo Maffei, Fachbereicht Sec ...

    M. Romiti, F. Victor, P. Moreno-Sanchez, P. Nordholt, B. Haslhofer, M. Maffei:
    "Cross-layer deanonymization methods in the lightning protocol";
    Vortrag: Financial cryptography and data security - 25th international conference, FC 2021, Online; 01.03.2021 - 05.03.2021; in: "Financial cryptography and data security", Springer Berlin Heidelberg, 12674 (2021), ISBN: 978-3-662-64321-1; S. 187 - 204.

  48. Autor/innen: Alexander Schindler, DSAI; Sergiu Gordea, DSAI; Peter Knees

    A. Schindler, S. Gordea, P. Knees:
    "Unsupervised cross-modal audio representation learning from unstructured multilingual text";
    Vortrag: 35th Annual ACM Symposium on Applied Computing (SAC2020), Brno, Czech Republic; 30.03.2020 - 03.04.2020; in: "SAC '20: Proceedings of the 35th Annual ACM Symposium on Applied Computing", (2020), ISBN: 978-1-4503-6866-7; 7 Seiten.

  49. Autor/innen: Alexander Schindler, DSAI; Peter Knees

    A. Schindler, P. Knees:
    "Multi-Task Music Representation Learning from Multi-Label Embeddings";
    Vortrag: International Conference on Content-Based Multimedia Indexing (CBMI2019), Dublin, Ireland; 04.09.2019 - 06.09.2019; in: "Proceedings of the 2019 International Conference on Content-Based Multimedia Indexing (CBMI)", (2019), ISBN: 978-1-7281-4673-7.

  50. Autor/innen: Alexander Schindler, DSAI; Andrew Lindley, DSAI; Anahid Naghibzadeh-Jalali, DSAI; Martin Boyer, SVS; Sergiu Gordea, DSAI; Ross King, DSAI

    A. Schindler, A. Lindley, A. Naghibzadeh-Jalali, M. Boyer, S. Gordea, R. King:
    "Multi-Modal Video Forensic Platform for Investigating Post-Terrorist Attack Scenarios";
    Vortrag: 11th ACM Multimedia Systems Conference (MMSys2020), Instanbul; 08.06.2020 - 13.06.2020; in: "Proceedings of the 11th ACM Multimedia Systems Conference (MMSys2020)", (2020), ISBN: 978-1-4503-6845-2; 3 Seiten.

  51. Autor/innen: Alexander Schindler, DSAI; Andrew Lindley, DSAI; David Schreiber, SVS; Martin Boyer, SVS; Thomas Philipp

    A. Schindler, A. Lindley, D. Schreiber, M. Boyer, T. Philipp:
    "Large Scale Audio-Visual Video Analytics Platform for Forensic Investigations of Terroristic Attacks";
    Vortrag: 25th International Conference on MultiMedia Modeling (MMM2019), Thessaloniki, Greece; 08.01.2019 - 11.01.2019; in: "Proceedings of the 25th International Conference Multimedia Modelling (MMM 2019)", Springer, Cham (2019), ISBN: 978-3-030-05710-7; 13 Seiten.

  52. Autor/innen: Alexander Schindler, DSAI; Andreas Rauber, Vienna University of

    A. Schindler, A. Rauber:
    "On the unsolved problem of Shot Boundary Detection for Music Videos";
    Vortrag: 25th International Conference on MultiMedia Modeling (MMM2019), Thessaloniki, Greece; 08.01.2019 - 11.01.2019; in: "Proceedings of the 25th International Conference Multimedia Modelling (MMM 2019)", Springer, Cham (2019), ISBN: 978-3-030-05710-7; 12 Seiten.

  53. Autor/innen: Sven Schlarb, DSAI; Clemens Heistracher, DSAI; Faisal Ghaffar, IBM Technology C ...

    S. Schlarb, C. Heistracher, F. Ghaffar:
    "Information Extraction from Darknet Market Advertisements and Forums";
    Vortrag: SECURWARE 2020 : The Fourteenth International Conference on Emerging Security Information, Systems and Technologies, Valencia, Spain; 21.11.2020 - 25.11.2020; in: "SECURWARE 2020 : The Fourteenth International Conference on Emerging Security Information, Systems and Technologies", IARIA, Valencia, Spain (2020), ISBN: 978-1-61208-821-1; 5 Seiten.

  54. Autor/innen: Johann Schrammel, ECT; Peter Fröhlich, ECT; Alexander G. Mirnig, Univ. Salzburg; Olivia Dinica, DSAI; Andrew Lindley, DSAI; Robert Woitsch, BOC Asset Management; Damiano Falconi, BOC Asset Management; Matthias Baldauf, Hamburg University o

    J. Schrammel, P. Fröhlich, A. G. Mirnig, O. Dinica, A. Lindley, R. Woitsch, D. Falconi, M. Baldauf:
    "Investigating Communication Techniques to Support Trust Calibration for Automated Systems";
    Vortrag: Workshop "Automation Experience across Domains" in conjunction with CHI2020, Honolulu, Hawaii, USA; 26.04.2020; in: "Proceedings of the Workshop on Automation Experience across Domains co-located with the ACM Conference on Human Factors in Computing Systems (CHI 2020)", CEUR Workshop Proceedings, Vol-2700 (2020), ISSN: 1613-0073; Paper-Nr. 2, 7 Seiten.

    Zusätzliche Informationen

  55. Autor/innen: Christoph G. Schuetz; Thomas Lorünser, SCT; Samuel Jaburek; Kevin Schuetz; Florian Wohner, SCT; Roman Karl, DSAI; Eduard Gringinger, Frequentis AG

    C. Schuetz, T. Lorünser, S. Jaburek, K. Schuetz, F. Wohner, R. Karl, E. Gringinger:
    "A Distributed Architecture for Secrecy-Preserving Optimization Using Genetic Algorithms and Multi-Party Computation";
    Vortrag: CoopIS 2022, 04.10.2022 - 07.10.2022; in: "Lecture Notes in Computer Science", Springer Verlag, 13591/Berlin (2022), ISBN: 978-3-031-17833-7; S. 168 - 185.

  56. Autor/innen: Mina Schütz, DSAI; Jaqueline Boeck, St. Pölten Unive ...; Daria Liakhovets, DSAI; Djordje Slijepcevic, St. Pölten Unive ...; Armin Kirchknopf, St. Pölten Unive ...; Manuel Hecht, St. Pölten Unive ...; Johannes Bogensperger, DSAI; Sven Schlarb, DSAI; Alexander Schindler, DSAI; Matthias Zeppelzauer, St. Pölten Unive ...
    Andere beteiligte Personen: Manuel Montes, Instituto Nacion ...; Paolo Rosso, PRHLT Research C ...; Julio Gonzalo, Universidad Naci ...; Mario Ezra Aragón, Instituto Nacion ...; Rodrigo Agerri, University of th ...; Miguel Ángel Álvarez-Carmona, Centro de Invest ...; Elena Álvarez Mellado, Universidad Naci ...; Jorge Carrillo-De-Albornoz, Universidad Naci ...; Luis Chiruzzo, Federal Universi ...; Larissa Freitas, Federal Universi ...; Helena Gómez Adorno, IIMAS, Universid ...; Yoan Gutiérrez, Department of So ...; Salud María Jiménez Zafra, Department of So ...; Salvador Lima-López, Barcelona Superc ...; Flor Miriam Plaza-De-Arco, Universidad de J ...; Mariona Taulé, CLiC, Universita ...

    M. Schütz, J. Boeck, D. Liakhovets, D. Slijepcevic, A. Kirchknopf, M. Hecht, J. Bogensperger, S. Schlarb, A. Schindler, M. Zeppelzauer:
    "Automatic Sexism Detection with Multilingual Transformer Models AIT_FHSTP@EXIST2021";
    Vortrag: IberLEF 2021 Iberian Languages Evaluation Forum 2021, Spanien (eingeladen); 22.09.2021; in: "Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2021) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2021)", M. Montes, P. Rosso, J. Gonzalo, M. Aragón, R. Agerri, M. Álvarez-Carmona, E. Álvarez Mellado, J. Carrillo-De-Albornoz, L. Chiruzzo, L. Freitas, H. Gómez Adorno, Y. Gutiérrez, S. Jiménez Zafra, S. Lima-López, F. Plaza-De-Arco, M. Taulé (Hrg.); Málaga, Spain (2021), ISSN: 1613-0073; S. 346 - 355.

  57. Autor/innen: Mina Schütz, DSAI; Alexander Schindler, DSAI; Melanie Siegel, Darmstadt University

    M. Schütz, A. Schindler, M. Siegel:
    "Disinformation Detection: Visualization and Explainable AI for Transfer Learning";
    Vortrag: CODE 2021 - Ph.D. Proposals (Science Track), Munich, Germany (eingeladen); 22.07.2021; in: "CODE 2021", Forschungsinstitut Cyber Defence (CODE) Universität der Bundeswehr München, (2021), 6 Seiten.

  58. Autor/innen: Rainer Simon, DSAI; Drazen Ignjatović, CDT; Georg Neubauer, CDT; Clemens Gutschi, Graz University of T; Johannes Pan, Graz University of T; Siegfried Vössner, Graz University of T
    Andere beteiligte Person: Vassilios Kappatos

    R. Simon, D. Ignjatović, G. Neubauer, C. Gutschi, J. Pan, S. Vössner:
    "Applying data mining techniques in the context of social media to improve situational awareness at large-scale events";
    Vortrag: ICECCME 2021, Mauritius; 07.10.2021 - 08.10.2021; in: "Selected Papers from International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME 2021)", V. Kappatos (Hrg.); IEEE, (2021), ISSN: 1996-1073; S. 1 - 6.

  59. Autor/innen: Lucas Torrealba, DSAI; Javier Bustos-Jiménez, Universidad de Chile; Pedro Casas, DSAI

    L. Torrealba, J. Bustos-Jiménez, P. Casas:
    "PHISHWEB - a Progressive, Multi-Layered System for Phishing Websites Detection";
    Poster: 22nd ACM Internet Measurement Conference, 25.10.2022 - 27.10.2022; in: "Proceedings of the 22nd ACM Internet Measurement Conference", Association for Computing Machinery, New York, NY, USA (2022), ISBN: 9781450392594; S. 764 - 765.

  60. Autor/innen: Florian Wamser, University of Würzbu; Sarah Wassermann, DSAI; Michael Seufert, University of Würzbu; Pedro Casas, DSAI; Li Gang, Huawei Technologies; Kuang Li, Huawei Technologies

    F. Wamser, S. Wassermann, M. Seufert, P. Casas, L. Gang, K. Li:
    "I See What you See: Real Time Prediction of Video Quality from Encrypted Streaming Traffic";
    Vortrag: 4th ACM MOBICOM Workshop on QoE-based Analysis and Management of Data Communication Networks (Internet-QoE), Los Cabos, Mexico; 21.10.2019 - 25.10.2019; in: "Proceedings of the 4th Internet-QoE Workshop on QoE-Based Analysis and Management of Data Communication Networks (Internet-QoE 2019)", ACM New York, NY, USA, (2019), ISBN: 978-1-4503-6927-5; S. 1 - 6.

  61. Autor/innen: Sarah Wassermann, DSAI; Pedro Casas, DSAI; Michael Seufert, University of Würzbu; Florian Wamser, University of Würzbu

    S. Wassermann, P. Casas, M. Seufert, F. Wamser:
    "On the Analysis of YouTube QoE in Cellular Networks through in-Smartphone Measurements";
    Vortrag: 12th IFIP Wireless and Mobile Networking Conference (WMNC), Paris, France; 11.09.2019 - 13.09.2019; in: "2019 12th IFIP Wireless and Mobile Networking Conference (WMNC)", IEEE, (2019), ISBN: 978-3-903176-18-8; S. 71 - 78.

  62. Autor/innen: Sarah Wassermann, DSAI; Pedro Casas, DSAI; Michael Seufert, University of Würzbu; Nikolas Wehner, University of Würzbu; Joshua Schüler, University of Würzbu; Tobias Hossfeld, University of Würzbu

    S. Wassermann, P. Casas, M. Seufert, N. Wehner, J. Schüler, T. Hossfeld:
    "How Good is your Mobile (Web) Surfing? Speed Index Inference from Encrypted Traffic";
    Poster: ACM SIGCOMM 2020 Conference, Online; 11.08.2020 - 13.08.2020; in: "Proceedings of the ACM SIGCOMM 2020 Conference Posters and Demos", ACM, (2021), ISBN: 978-1-4503-8048-5; S. 30 - 32.

  63. Autor/innen: Sarah Wassermann, DSAI; Thibaut Cuvelier, Centrale Supélec; Pedro Casas, DSAI

    S. Wassermann, T. Cuvelier, P. Casas:
    "RAL - Improving Stream-Based Active Learning by Reinforcement Learning";
    Vortrag: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Workshop on Interactive Adaptive Learning (IAL), Würzburg, Germany; 16.09.2019 - 20.09.2019; in: "Proceedings of the Workshop on Interactive Adaptive Learning, co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2019)", (2019), ISSN: 1613-0073; S. 32 - 47.

  64. Autor/innen: Sarah Wassermann, DSAI; Thibaut Cuvelier, Centrale Supélec; Pedro Casas, DSAI

    S. Wassermann, T. Cuvelier, P. Casas:
    "RAL - Reinforcement Active Learning for Network Traffic Monitoring and Analysis";
    Poster: ACM SIGCOMM 2020 Conference, Online; 11.08.2020 - 13.08.2020; in: "Proceedings of the ACM SIGCOMM 2020 Conference Posters and Demos", ACM, (2020), ISBN: 978-1-4503-8048-5; S. 36 - 38.

  65. Autor/innen: Sarah Wassermann, DSAI; Thibaut Cuvelier, Centrale Supélec; Pavol Mulinka, CTU Czech Techni ...; Pedro Casas, DSAI

    S. Wassermann, T. Cuvelier, P. Mulinka, P. Casas:
    "ADAM & RAL: Adaptive Memory Learning and Reinforcement Active Learning for Network Monitoring";
    Vortrag: 15th International Conference on Network and Service Management (CNSM 2019), Halifax, Canada; 21.10.2019 - 25.10.2019; in: "2019 15th International Conference on Network and Service Management (CNSM)", IEEE, (2019), ISBN: 978-3-903176-24-9; S. 1 - 9.

  66. Autor/innen: Sarah Wassermann, DSAI; Michael Seufert, University of Würzbu; Pedro Casas, DSAI; Li Gang, Huawei Technologies; Kuang Li, Huawei Technologies

    S. Wassermann, M. Seufert, P. Casas, L. Gang, K. Li:
    "Let me Decrypt your Beauty: Real-time Prediction of Video Resolution and Bitrate for Encrypted Video Streaming";
    Poster: 3rd Network Traffic Measurement and Analysis Conference (TMA 2019), Paris, France; 17.06.2019 - 21.06.2019; in: "Proceedings of the 3rd Network Traffic Measurement and Analysis Conference, TMA 2019", (2019), ISBN: 978-3-903176-17-1; S. 199 - 200.

  67. Autor/innen: Nikolas Wehner, University of Würzbu; Michael Seufert, University of Würzbu; Sebastian Egger-Lampl, ECT; Bruno Gardlo, ECT; Pedro Casas, DSAI; Raimund Schatz, ECT

    N. Wehner, M. Seufert, S. Egger-Lampl, B. Gardlo, P. Casas, R. Schatz:
    "Scoring High: Analysis and Prediction of Viewer Behavior and Engagement in the Context of 2018 FIFA WC Live Streaming";
    Vortrag: 28th ACM International Conference on Multimedia, Seattle, United States; 12.10.2020 - 16.10.2020; in: "MM '20: Proceedings of the 28th ACM International Conference on Multimedia", Association for Computing Machinery, New York, NY, United States (2020), ISBN: 978-1-4503-7988-5; S. 807 - 815.

    Zusätzliche Informationen

  68. Autor/innen: Nikolas Wehner, University of Würzbu; Michael Seufert, University of Würzbu; Joshua Schüler, University of Würzbu; Pedro Casas, DSAI; Tobias Hoßfeld, University of Würzbu

    N. Wehner, M. Seufert, J. Schüler, P. Casas, T. Hoßfeld:
    "How are your Apps Doing? QoE Inference and Analysis in Mobile Devices";
    Vortrag: 2021 17th International Conference on Network and Service Management (CNSM), 25.10.2021 - 29.10.2021; in: "17th International Conference on Network and Service Management, CNSM 2021", IEEE, (2021), ISBN: 978-3-903176-36-2; S. 49 - 55.


Vorträge und Posterpräsentationen (ohne Tagungsband-Eintrag)


  1. Autor/innen: Medina Andresel, DSAI; Sergiu Gordea, DSAI; Mina Schütz, DSAI; Srdjan Stevanetic, DSAI

    M. Andresel, S. Gordea, M. Schütz, S. Stevanetic:
    "An Approach for Curating Collections of Historical Documents with the Use of Topic Detection Technologies";
    Vortrag: 17th International Digital Curation Conference (IDCC22), 15.05.2022.

  2. Autor/innen: Peter Biegelbauer, IP; Katharina Berger, IP; Lina Bittner, GF; Caroline Lackinger; Alexander Schindler, DSAI; Sven Schlarb, DSAI; Edgar Subak

    P. Biegelbauer, K. Berger, L. Bittner, C. Lackinger, A. Schindler, S. Schlarb, E. Subak:
    "Engineering Trust in AI: the impact of debates on AI regulation on the work of software developers";
    Vortrag: STS Conference Graz 2022 "Critical Issues in Science, Technology and Society Studies", 03.05.2022.

  3. Autor/innen: Peter Biegelbauer, IP; Caroline Lackinger; Sven Schlarb, DSAI; Edgar Subak; Pia Weinlinger, IP; Ursula Rosenbichler; Ralf Tatto

    P. Biegelbauer, C. Lackinger, S. Schlarb, E. Subak, P. Weinlinger, U. Rosenbichler, R. Tatto:
    "Digitale Verwaltung und Ethik";
    Vortrag: AI Policy Forum, 19.10.2022.

  4. Autor/in: Pedro Casas, DSAI

    P. Casas:
    "10 Years of Internet-QoE Measurements: Video, Cloud, Conferencing, Web, and Apps, What do we Need from the Network Side?";
    Vortrag: Internet Architecture Board (IAB) Workshop on Measuring Network Quality for the End Users, 14.09.2021 - 16.09.2021.

  5. Autor/in: Pedro Casas, DSAI

    P. Casas:
    "Monitoring User-Perceived Quality in an Encrypted Internet - AI to the Rescue";
    Vortrag: Internet Architecture Board (IAB) Workshop on Management Techniques in Encrypted Networks, 17.10.2022 - 19.10.2022.

  6. Autor/innen: Refiz Duro, CDT; Jasmin Lampert, DSAI; Günther Bronner, Umweltdata GmbH; Vanessa Berger, E.C.O. Institut für

    R. Duro, J. Lampert, G. Bronner, V. Berger:
    "AI for Climate Sensitive Tree Growth Modelling and Maximum Carbon Segregation";
    Vortrag: AI for Green FFG Kick-Off Event, 02.05.2022.

  7. Autor/innen: Gastón García González, Universidad de l ...; Pedro Casas, DSAI; Alicia Fernández, Universidad de l ...; Gabriel Gómez, Universidad de l ...

    G. González, P. Casas, A. Fernández, G. Gómez:
    "Net-GAN: Recurrent Generative Adversarial Networks for Network Anomaly Detection in Multivariate Time-Series";
    Poster: 4th Network Traffic Measurement and Analysis Conference (TMA 2020), Berlin, Germany; 10.06.2020 - 11.06.2020.

  8. Autor/innen: Gastón García González, Universidad de l ...; Sergio Martinez Tagliafico, Universidad de l ...; Alicia Fernández, Universidad de l ...; Gabriel Gómez, Universidad de l ...; José Acuña, Universidad de l ...; Camilo Mariño, Universidad de l ...; Pedro Casas, DSAI

    G. González, S. Martinez Tagliafico, A. Fernández, G. Gómez, J. Acuña, C. Mariño, P. Casas:
    "Mining Multivariate Time-Series for Anomaly Detection in Mobile Networks. On the Usage of Variational Auto Encoders and Dilated Convolutions";
    Poster: 8th SIGKDD International Workshop on Mining and Learning from Time Series - Deep Forecasting: Models, Interpretability, and Applications (MILETS), 15.08.2022.

  9. Autor/innen: Sergiu Gordea, DSAI; Philip Kahle, READ COOP

    S. Gordea, P. Kahle:
    "Transcription and enrichment of Europeana content using Handwritten Text Recognition technology";
    Vortrag: Europeana Aggregators' Forum, online (eingeladen); 21.06.2021.

  10. Autor/innen: Sergiu Gordea, DSAI; Rainer Simon, DSAI; Ross King, DSAI

    S. Gordea, R. Simon, R. King:
    "Cultural Data science & Europeana";
    Vortrag: Europeana Abstimmung - BKA Einladung, Vienna (eingeladen); 29.09.2021.

  11. Autor/in: Anita Graser, DSAI

    A. Graser:
    "Mobility Data Science";
    Vortrag: IAEA Workshop on the improvement of capabilities for Satellite Imagery and Geospatial Information, 15.11.2022 - 17.11.2022.

  12. Autor/in: Anita Graser, DSAI

    A. Graser:
    "Movement Data Science Meets Archeology";
    Vortrag: ARCHEO.FOSS 2022 Panel: Moving in the past, 23.09.2022.

  13. Autor/in: Anita Graser, DSAI

    A. Graser:
    "MovingPandas: general purpose visual movement data analytics";
    Vortrag: GeoPython, 20.06.2022 - 22.06.2022.

  14. Autor/in: Anita Graser, DSAI

    A. Graser:
    "Shaping Open Spatial Data Science";
    Vortrag: FOSS4G:UK Local 2022, 17.11.2022.

  15. Autor/in: Anita Graser, DSAI

    A. Graser:
    "State of MovingPandas: analyze all those tracks (not just GPS)";
    Vortrag: FOSS4G 2022, 22.08.2022 - 28.08.2022.

  16. Autor/in: Anita Graser, DSAI

    A. Graser:
    "The State of Trajectory Visualization in Notebook Environments";
    Vortrag: GI_Salzburg, 05.07.2022 - 07.07.2022.

  17. Autor/in: Anita Graser, DSAI

    A. Graser:
    "Understanding movement data";
    Vortrag: Edinburgh Earth Observatory - AGI Scotland Seminar Seminars, 11.02.2022.

  18. Autor/in: Bernhard Haslhofer, DSAI

    B. Haslhofer:
    "Cryptoasset Analytics - Insights from Analyzing Large-Scale Financial Transaction Graphs";
    Vortrag: Blockchain & Wine Meetup, Wien (eingeladen); 11.03.2020.

  19. Autor/in: Bernhard Haslhofer, DSAI

    B. Haslhofer:
    "Cryptoasset Forensics - State of the Art and Upcoming Challenges";
    Vortrag: Cybercrime Expert Circle Meeting, Wien (eingeladen); 22.01.2020.

  20. Autor/in: Bernhard Haslhofer, DSAI

    B. Haslhofer:
    "Decentralized Finance (DeFi) - Understanding Risks in an Emerging Financial Paradigm";
    Vortrag: 1st Annual Conference of the Austrian Blockchain Center (ABC), 23.03.2021.

  21. Autor/in: Bernhard Haslhofer, DSAI

    B. Haslhofer:
    "Decentralized Finance (DeFi) - What impact will it have on cryptoasset forensics?";
    Vortrag: 5th INTERPOL Working Group on Dark Web and Virtual Assets, 21.09.2021.

  22. Autor/in: Bernhard Haslhofer, DSAI

    B. Haslhofer:
    "GraphSense - A General Purposes Cryptoasset Analytics Platform";
    Vortrag: Cryptocurrency Conference 3, 27.11.2021.

  23. Autor/in: Bernhard Haslhofer, DSAI

    B. Haslhofer:
    "Laundering Money with Cryptoassets: Known Strategies and Containment Methods";
    Vortrag: Austrian Blockchain Center (ABC), 10.02.2021.

  24. Autor/innen: Clemens Heistracher, DSAI; Bernhard Haslhofer, DSAI

    C. Heistracher, B. Haslhofer:
    "Condition Monitoring, Anomaly Detection & Outlier Detection";
    Vortrag: ExpertInnengruppe F,E&I zum Thema "Predictive Maintenance", Wien (eingeladen); 05.06.2020.

  25. Autor/in: Ross King, DSAI

    R. King:
    "Artificial Intelligence: Promise and Limitations";
    Vortrag: WKO Expertenimpuls zum Thema Technologie & Infrastruktur, virtuell (eingeladen); 26.01.2021.

  26. Autor/in: Ross King, DSAI

    R. King:
    "Artificial Intelligence: TITANIUM: An H2020 Success Story";
    Vortrag: FFG: "Civil Security for Society - Neue Ausschreibungen, neue Anforderungen, neue Chancen!", virtuell (eingeladen); 22.02.2021.

  27. Autor/in: Ross King, DSAI

    R. King:
    "Audio Analysis for Medical Diagnostics";
    Vortrag: Medical Image Analysis & Artificial Intelligence, 22.09.2022.

  28. Autor/in: Ross King, DSAI

    R. King:
    "Austrian Action Plan Deepfake";
    Vortrag: Cyber (In-)Securities and International Politics, 27.06.2022 - 28.06.2022.

  29. Autor/in: Ross King, DSAI

    R. King:
    "Blind Auctions for increased capacity use in industrial plants";
    Vortrag: 60th FITCE Congress 2021, Vienna, Austria (eingeladen); 29.09.2021 - 30.09.2021.

  30. Autor/in: Ross King, DSAI

    R. King:
    "Dark Web and Cryptoasset Analytics";
    Vortrag: CERIS FCT workshop on Money laundering - Detection, Analysis, Response, Online (eingeladen); 07.12.2021.

  31. Autor/in: Ross King, DSAI

    R. King:
    "Die Vertrauenswürdigkeit der KI";
    Vortrag: Expedition KI, 04.10.2022.

  32. Autor/in: Ross King, DSAI

    R. King:
    "Die Vertrauenswürdigkeit der KI";
    Vortrag: Millennium Innovation Days 2022, 03.10.2022 - 07.10.2022.

  33. Autor/in: Ross King, DSAI

    R. King:
    "Einführung in das Themenfeld Krypto-Assets und NFTs";
    Vortrag: 4. E-Commerce Fraud Forum, 09.06.2022 - 10.06.2022.

  34. Autor/in: Ross King, DSAI

    R. King:
    "GraphSense: Open-Source Cryptocurrency Forensics";
    Vortrag: CRI - Illicit Finance Working Group - US Treasury Countering Illicit Finance Workshop, 20.07.2022.

  35. Autor/in: Ross King, DSAI

    R. King:
    "HYDRATE - Hybrid Disinformation - Resilience Against Threats";
    Vortrag: EU-HYBNET network, online (eingeladen); 13.04.2021.

  36. Autor/innen: Ross King, DSAI; Helmut Leopold, DSS

    R. King, H. Leopold:
    "Blockchain Webinar";
    Vortrag: UN-IOM Webinar "Blockchain Technologies: Briefing", Virtual (eingeladen); 02.06.2021.

  37. Autor/in: Jasmin Lampert, DSAI

    J. Lampert:
    "Big Data Analyse von Covid19-Tweets - Data Science für ein besseres Verständnis von Pandemien";
    Vortrag: OVE Fem-Meetup mit AIT, Virtuell (eingeladen); 17.06.2021.

  38. Autor/innen: Andrew Lindley, DSAI; Wolfgang Ebner, X-Net Services GmbH

    A. Lindley, W. Ebner:
    "Fake-Shop Detector schützt Konsument:innen beim Online-Einkauf";
    Vortrag: Austrian Innovation Forum, 14.10.2021.

  39. Autor/innen: Andreas Martin, CDT; Mohammad Allagha, Politikos; Mihai Bartha, DSAI; Hannah Zach, Politikos; Melanie Lucic, Politikos

    A. Martin, M. Allagha, M. Bartha, H. Zach, M. Lucic:
    "Thematic Session 3: What EMY has done so far (III): emy Connect and EMY community building";
    Hauptvortrag: EMY Konferenz, Virtuell; 21.01.2021.

  40. Autor/innen: Andrea Morichetta, DSAI; Pedro Casas, DSAI

    A. Morichetta, P. Casas:
    "Steps Towards Explainable AI (XAI) for Clustering: the Case of Unsupervised QoE Analysis for YouTube Encrypted Traffic";
    Poster: 3rd Network Traffic Measurement and Analysis Conference (TMA 2019), Paris, France; 17.06.2019 - 21.06.2019.

  41. Autor/in: Anahid Naghibzadeh-Jalali, DSAI

    A. Naghibzadeh-Jalali:
    "(Un)Explainable Artificial Intelligence - The story sofar";
    Vortrag: TU-Wien (IT-Talk), TU Wien online event (eingeladen); 22.10.2020.

  42. Autor/in: Anahid Naghibzadeh-Jalali, DSAI

    A. Naghibzadeh-Jalali:
    "Comparison of Explainability Approaches (XAI)";
    Vortrag: 1st joint seminar on Explainable AI, TU Wien (eingeladen); 10.02.2020.

  43. Autor/in: Anahid Naghibzadeh-Jalali, DSAI

    A. Naghibzadeh-Jalali:
    "Ethics and AI Policies - AI Risks for Digital Society";
    Vortrag: IDSF - International Digital Security Forum 2022, 31.05.2022 - 02.06.2022.

  44. Autor/in: Anahid Naghibzadeh-Jalali, DSAI

    A. Naghibzadeh-Jalali:
    "Explainability and Interpretability of Machine Learning Models";
    Vortrag: Darmstadt University of Applied Sciences, 07.12.2021.

  45. Autor/in: Anahid Naghibzadeh-Jalali, DSAI

    A. Naghibzadeh-Jalali:
    "Explainable and Interpretable AI: The story so far";
    Vortrag: Explainable and Interpretable Artificial Intelligence, Online (eingeladen); 30.09.2020.

  46. Autor/in: Anahid Naghibzadeh-Jalali, DSAI

    A. Naghibzadeh-Jalali:
    "eXplainable and Interpretable Machine Learning";
    Vortrag: LSZ Challenge Accepted! 2021, Vienna; 10.06.2021.

  47. Autor/in: Anahid Naghibzadeh-Jalali, DSAI

    A. Naghibzadeh-Jalali:
    "Predictive Maintenance: A to Z";
    Vortrag: Norway Dairy Company - TINE, 13.10.2021.

  48. Autor/in: Anahid Naghibzadeh-Jalali, DSAI

    A. Naghibzadeh-Jalali:
    "XAI - How AI comes to its decisions";
    Vortrag: OVE Fem-Meetup Data Science & Künstliche Intelligenz, Wien (eingeladen); 17.06.2021.

  49. Autor/innen: Anahid Naghibzadeh-Jalali, DSAI; Alexander Schindler, DSAI; Bernhard Haslhofer, DSAI

    A. Naghibzadeh-Jalali, A. Schindler, B. Haslhofer:
    "Unsupervised Anomalous Sound Detection of Machinery with Deep Autoencoders";
    Vortrag: DCASE Challenge 2020, Online (eingeladen); 12.06.2020.

  50. Autor/innen: Julian Pegoraro, SVS; Anahid Naghibzadeh-Jalali, DSAI

    J. Pegoraro, A. Naghibzadeh-Jalali:
    "Computer Vision am AIT Austrian Institute of Technology";
    Vortrag: Wintergraph 2020, Bad Gastein (eingeladen); 03.03.2020 - 06.03.2020.

  51. Autor/in: Alexander Schindler, DSAI

    A. Schindler:
    "Artificial Intelligence & Security";
    Vortrag: Vienna Cyber Security Days 2019, Wien (eingeladen); 13.03.2019.

  52. Autor/in: Alexander Schindler, DSAI

    A. Schindler:
    "FAKE NEWS AUF DER SPUR | Ein Forschungsschwerpunkt über Medienmanipulation";
    Vortrag: Austrian Innovation Forum 2020, ERSTE Campus, Wien (eingeladen); 15.10.2020 - 16.10.2020.

  53. Autor/in: Alexander Schindler, DSAI

    A. Schindler:
    "Fake News. From Shallow to Deep. How to create, detect and fight it.";
    Vortrag: 30th Vienna Deep Learning Meetup, A1 Telekom Austria (eingeladen); 29.10.2019.

  54. Autor/in: Alexander Schindler, DSAI

    A. Schindler:
    "FLORIDA";
    Poster: Austro-European Security Research Innovation Days inkl. 8. KIRAS-Fachtagung, Vienna (eingeladen); 25.06.2018.

  55. Autor/in: Alexander Schindler, DSAI

    A. Schindler:
    "Introduction to Music Information Retrieval and Deep Learning for music and audio";
    Vortrag: 2nd International summer school on "Deep Learning and Visual Data Analysis", Universität Wien (eingeladen); 06.09.2018.

  56. Autor/in: Alexander Schindler, DSAI

    A. Schindler:
    "Music Video Information Retrieval";
    Vortrag: 1st Austrian Music Information Retrieval Workshop, Wien (eingeladen); 22.06.2018.

  57. Autor/in: Alexander Schindler, DSAI

    A. Schindler:
    "Responsible and Trustworthy AI at AIT";
    Vortrag: IDSF - International Digital Security Forum 2022, 31.05.2022 - 02.06.2022.

  58. Autor/in: Alexander Schindler, DSAI

    A. Schindler:
    "Spotlight Workshop on Artificial Intelligence";
    Vortrag: International Conference on Creative Media Technologies (IConCMT 2020), FH St. Pölten (eingeladen); 28.11.2019.

  59. Autor/innen: Alexander Schindler, DSAI; Thomas Lidy

    A. Schindler, T. Lidy:
    "Deep Learning for Music Classification using Keras";
    Vortrag: Machine Learning Prague (ML-Prague), Prag (eingeladen); 23.03.2018.

  60. Autor/innen: Alexander Schindler, DSAI; Thomas Lidy; Sebastian Böck

    A. Schindler, T. Lidy, S. Böck:
    "Deep Learning for MIR Tutorial";
    Vortrag: 19th International Society for Music Information Retrieval Conference, Paris (eingeladen); 23.09.2018.

  61. Autor/in: Sven Schlarb, DSAI

    S. Schlarb:
    "NFT: Technologischer Hintergrund und Einsatzmöglichkeiten";
    Vortrag: IP-Day 2021, 21.09.2021.

  62. Autor/in: Mina Schütz, DSAI

    M. Schütz:
    "Automatic Fake News Detection with Transformer Models";
    Poster: Top 3 AIT poster award [TechTalk @ VAC], Vienna (eingeladen); 29.06.2021.

  63. Autor/in: Mina Schütz, DSAI

    M. Schütz:
    "Disinformation Detection: A Semi-Supervised Transfer Learning Approach";
    Poster: Darmstadt University for Applied Sciences, Darmstadt (eingeladen); 19.11.2021 - 14.12.2021.

  64. Autor/in: Mina Schütz, DSAI

    M. Schütz:
    "Tools und Methoden, um Desinformation zu erkennen";
    Vortrag: KSÖ Planspiel, Wien (eingeladen); 21.09.2021.

  65. Autor/in: Mina Schütz, DSAI

    M. Schütz:
    "Wie man Falschinformationen im Netz erkennen kann und welche neuen Tools uns dabei helfen";
    Vortrag: Digital Days Vienna (DIDAYS21), Vienna, Austria (eingeladen); 18.10.2021.

  66. Autor/in: Rainer Simon, DSAI

    R. Simon:
    "An Introduction to Annotorious";
    Vortrag: MADOC Discovery Workshop, Ghent, Belgium (eingeladen); 16.09.2021.

  67. Autor/in: Rainer Simon, DSAI

    R. Simon:
    "IIIF and Annotations with Recogito";
    Vortrag: IIIF Europeana Working Group - IIIF Tools & Viewers (Online Seminar), virtuell (eingeladen); 27.01.2021.

  68. Autor/in: Rainer Simon, DSAI

    R. Simon:
    "Introduction to Recogito";
    Vortrag: IIIF Friday Lecture Series, Bruges (eingeladen); 26.11.2021.

  69. Autor/in: Rainer Simon, DSAI

    R. Simon:
    "Machines Reading Maps and Recogito: an Online Environment for the Annotation of Historic Maps";
    Vortrag: GÉODE seminar: Extracting, processing and visualizing complex historical geographic data, 24.11.2022.

  70. Autor/in: Rainer Simon, DSAI

    R. Simon:
    "Peripleo: Origins, Current & Future Work";
    Vortrag: Locating a National Collection Workshop, British Library, 26.04.2022.

  71. Autor/in: Rainer Simon, DSAI

    R. Simon:
    "Recogito";
    Vortrag: Unlock the Libraries: Offene Daten von und für Bibliotheken, 13.09.2022.

  72. Autor/in: Rainer Simon, DSAI

    R. Simon:
    "Recogito Semantic Tagging and the Simple Gazetteer Server Project";
    Vortrag: Linked Pasts VII, Ghent, Belgium/Virtual (eingeladen); 15.12.2021.

  73. Autor/in: Rainer Simon, DSAI

    R. Simon:
    "Semantic Annotation of Texts and Images with Recogito";
    Vortrag: Sharing Digitally: Seminar on Digital Tools and Infrastructures, Lviv, Ukraine and virtual (eingeladen); 29.09.2021.

  74. Autor/in: Rainer Simon, DSAI

    R. Simon:
    "Semantic Annotation without the Pointy Brackets - an introduction to Recogito";
    Vortrag: Linked Data & the Semantic Web for Humanities Research (LISEH) 2021, Graz/virtual (eingeladen); 07.04.2021.

  75. Autor/in: Rainer Simon, DSAI

    R. Simon:
    "Semantic Map Annotation with Recogito";
    Vortrag: Living with Machines Open Exchange, 07.04.2022.

  76. Autor/in: Rainer Simon, DSAI

    R. Simon:
    "Sustainable Knowledge Infrastructures: The Example of Pelagios";
    Vortrag: UNC School of Information and Library Science Spring Course "A Digital Gazetteer of North Carolina", Chapel Hill, North Carolina, USA (eingeladen); 05.03.2020.

  77. Autor/in: Rainer Simon, DSAI

    R. Simon:
    "The RISE & SHINE API in Recogito";
    Vortrag: RISE & SHINE Tool Developers Workshop, Max Planck Institut für Wissenschaftsgeschichte, Berlin (virtuell) (eingeladen); 23.09.2020.

  78. Autor/innen: Rainer Simon, DSAI; Elton Barker, Open University Mil

    R. Simon, E. Barker:
    "Recogito - A Tool for Semantic Annotation of Texts and Images";
    Vortrag: ÖAW IMAFO Digital Humanities Seminar Series 2022, 16.03.2022.

  79. Autor/innen: Rainer Simon, DSAI; Sergiu Gordea, DSAI; Martin Boyer, SVS; Ross King, DSAI

    R. Simon, S. Gordea, M. Boyer, R. King:
    "AIT Data Science- Cultural Data Science";
    Vortrag: Data Science und Karten, Giefinggasse, Wien (eingeladen); 18.12.2021.

  80. Autor/innen: Rainer Simon, DSAI; Nicole High-Steskal, Danube University Kr

    R. Simon, N. High-Steskal:
    ""Linking Viennese Art through AI" - ein Zwischenbericht";
    Vortrag: DArtHist Austria, 22. Vernetzungstreffen, 27.09.2022.

  81. Autor/innen: Rainer Simon, DSAI; Rebecca Kahn, Alexander von Humbol

    R. Simon, R. Kahn:
    "Data Capture via Semantic Annotation in Recogito";
    Vortrag: ACDH Digital Prosopography Summer School 2020, Wien (eingeladen); 06.07.2020 - 10.07.2020.

  82. Autor/innen: Rainer Simon, DSAI; Rebecca Kahn, Alexander von Humbol

    R. Simon, R. Kahn:
    "Visualization: Maps and GIS";
    Vortrag: ACDH Digital Prosopography Summer School 2020, Wien (eingeladen); 10.07.2020.

  83. Autor/innen: Rainer Simon, DSAI; Erik Radisch, Saxon Academy of Sci

    R. Simon, E. Radisch:
    "Annotorious - eine JavaScript-Bibliothek für die Entwicklung maßgeschneiderter Bildannotationstools";
    Vortrag: DHd 2022 - Digital Humanities im deutschsprachigen Raum, Jahrestagung, 08.03.2022.

  84. Autor/innen: Rainer Simon, DSAI; Valeria Vitale, The British Library; Anne Chen, Yale University

    R. Simon, V. Vitale, A. Chen:
    "Linked Geographical Data and Web Mapping";
    Hauptvortrag: Sunoikisis Digital Cultural Heritage Open Teaching Programme, online (eingeladen); 11.02.2021.

  85. Autor/in: Rainer Stütz, DSAI

    R. Stütz:
    "Cryptocurrency Analytics with GraphSense";
    Vortrag: 2nd International Conference on Data Science in Finance with R (DSF-R), Wien (eingeladen); 19.09.2019 - 20.09.2019.

  86. Autor/innen: Michela Vignoli, DSAI; Jan Rörden, Fraunhofer ISI; Dana Wasserbacher, IP

    M. Vignoli, J. Rörden, D. Wasserbacher:
    "Reliable foresight knowledge to improve science communication in pandemic times? Exploring the potential of machine learning tools for assessing forward-looking statements in public media";
    Vortrag: Future of Science Communication Conference, 24.06.2021 - 25.06.2021.

  87. Autor/innen: Sarah Wassermann, DSAI; Thibaut Cuvelier, Centrale Supélec; Pedro Casas, DSAI

    S. Wassermann, T. Cuvelier, P. Casas:
    "Improving Stream-Based Active Learning with Reinforcement Learning";
    Poster: NeurIPS 2019, 14th Women in Machine Learning Workshop (WIML), Vancouver, Canada; 09.12.2019.

  88. Autor/innen: Sarah Wassermann, DSAI; Michael Seufert, University of Würzbu; Pedro Casas, DSAI

    S. Wassermann, M. Seufert, P. Casas:
    "Decrypting QoE in an Encrypted Internet - AI to the Rescue";
    Poster: RIPE Academic Cooperation Initiative (RACI - RIPE 79), Rotterdam, The Netherlands; 14.10.2019 - 18.10.2019.

  89. Autor/innen: Sarah Wassermann, DSAI; Michael Seufert, University of Würzbu; Pedro Casas, DSAI

    S. Wassermann, M. Seufert, P. Casas:
    "Decrypting Video Quality from Encrypted Streaming Traffic";
    Poster: NeurIPS 2019, 14th Women in Machine Learning Workshop (WIML), Vancouver, Canada; 09.12.2019.

  90. Autor/innen: Sarah Wassermann, DSAI; Michael Seufert, University of Würzbu; Pedro Casas, DSAI; Li Gang, Huawei Technologies; Kuang Li, Huawei Technologies

    S. Wassermann, M. Seufert, P. Casas, L. Gang, K. Li:
    "VICRYPT: Real-time, Fine-grained Prediction of Video Quality from Encrypted Streaming Traffic";
    Poster: ACM Internet Measurement Conference (IMC 2019), Amsterdam, The Netherlands; 21.10.2019 - 23.10.2019.

  91. Autor/innen: Nikolas Wehner, University of Würzbu; Michael Seufert, University of Würzbu; Sarah Wassermann, DSAI; Pedro Casas, DSAI

    N. Wehner, M. Seufert, S. Wassermann, P. Casas:
    "Machine Learning-based Real-time Estimation of Quality of Experience from Encrypted Video Streaming Traffic";
    Poster: KuVS Experts Workshop: Machine Learning & Networking (FG-MLN 2020), Munich, Germany; 20.02.2020 - 21.02.2020.


Vorlesungen


  1. Autor/in: Anita Graser, DSAI

    A. Graser:
    "Automated GIS Workflows with QGIS & Python";
    Vorlesung: Universität Salzburg, 14.03.2022 - 06.06.2022.

  2. Autor/in: Anita Graser, DSAI

    A. Graser:
    "Automated GIS Workflows with QGIS & Python";
    Vorlesung: Universität Salzburg, 04.07.2022 - 26.09.2022.

  3. Autor/in: Anita Graser, DSAI

    A. Graser:
    "Intro to MovingPandas @ UniPi CDS209: Geospatial Data Management and Analytics";
    Vorlesung: University of Piraeus, Dept. Informatics, 14.06.2022.

  4. Autor/in: Bernhard Haslhofer, DSAI

    B. Haslhofer:
    "Crypto Asset Analytics";
    Vorlesung: Technische Universität Wien, 1040 Wien, Wien; 01.03.2021 - 30.06.2021.

  5. Autor/in: Bernhard Haslhofer, DSAI

    B. Haslhofer:
    "Crypto Asset Analytics";
    Vorlesung: WU Executive Academy, 1020 Wien, Wien; 04.03.2021.

  6. Autor/in: Bernhard Haslhofer, DSAI

    B. Haslhofer:
    "Datenbasierte globale Daten-, Informations-, und Finanznetzwerke";
    Vorlesung: Fachhochschule Technikum Wien, 01.10.2021 - 31.01.2022.

  7. Autor/in: Anahid Naghibzadeh-Jalali, DSAI

    A. Naghibzadeh-Jalali:
    "Predictive Maintenance";
    Vorlesung: FH St. Pölten, St. Pölten; 12.06.2019.

  8. Autor/innen: Anahid Naghibzadeh-Jalali, DSAI; Andreas Rauber, Vienna University of

    A. Naghibzadeh-Jalali, A. Rauber:
    "Explainability of ML models";
    Vorlesung: Vienna University of Technology, 01.03.2022 - 30.06.2022.

  9. Autor/in: Alexander Schindler, DSAI

    A. Schindler:
    "Advanced Information Retrieval - Music Representation Learning";
    Vorlesung: TU Wien, Wien; 26.05.2020.

  10. Autor/in: Alexander Schindler, DSAI

    A. Schindler:
    "Artificial Intelligence in Safety and Security";
    Vorlesung: FH St. Pölten, St. Pölten; 27.01.2020.

  11. Autor/in: Alexander Schindler, DSAI

    A. Schindler:
    "Deep Learning Application Examples";
    Vorlesung: TU Vienna, Vienna; 24.05.2019.

  12. Autor/in: Alexander Schindler, DSAI

    A. Schindler:
    "Experiment Design for Data Science - Applied Data Science Worksflows and Tools";
    Vorlesung: TU Wien, Wien; 12.11.2020.

  13. Autor/in: Alexander Schindler, DSAI

    A. Schindler:
    "Intelligent Audio and Music Analysis - Audio Representation Learning";
    Vorlesung: TU Wien, Wien; 02.12.2020.

  14. Autor/in: Alexander Schindler, DSAI

    A. Schindler:
    "Selected Topics of Machine Learning and AI";
    Vorlesung: FH St. Pölten, 01.10.2021 - 31.01.2022.

  15. Autor/innen: Alexander Schindler, DSAI; Peter Knees; Andreas Rauber, Vienna University of; Allan Hanbury, Vienna University of

    A. Schindler, P. Knees, A. Rauber, A. Hanbury:
    "Experimental Design for Data Science";
    Vorlesung: TU-Wien, 01.10.2021 - 31.01.2022.

  16. Autor/innen: Alexander Schindler, DSAI; Peter Knees; Richard Vogl; Sebastian Böck

    A. Schindler, P. Knees, R. Vogl, S. Böck:
    "Intelligent Audio and Music Analysis";
    Vorlesung: TU-Wien, 01.10.2021 - 31.01.2022.

  17. Autor/in: Mina Schütz, DSAI

    M. Schütz:
    ""Interactive AI: NLP" Masters Artificial Intelligence";
    Vorlesung: FH Technikum Vienna, 01.03.2022 - 30.06.2022.

  18. Autor/in: Mina Schütz, DSAI

    M. Schütz:
    "Fake News & Algorithmen";
    Vorlesung: Wiener Volkshochschulen (VHS), 21.03.2022.

  19. Autor/in: Mina Schütz, DSAI

    M. Schütz:
    "NLP with Transformer Models";
    Vorlesung: Darmstadt University for Applied Sciences, Darmstadt; 14.01.2021.

  20. Autor/in: Mina Schütz, DSAI

    M. Schütz:
    "NLP-based Data Science";
    Vorlesung: Darmstadt University for Applied Sciences, Darmstadt; 01.04.2021 - 01.07.2021.

  21. Autor/innen: Mina Schütz, DSAI; Margot Mieskes, Darmstadt University

    M. Schütz, M. Mieskes:
    "Angewandte Methoden der Sprachverarbeitung";
    Vorlesung: Darmstadt University for Applied Sciences, 01.10.2021 - 31.01.2022.


Diplom- und Master-Arbeiten (eigene und betreute)


  1. Autor/in: Johannes Bogensperger, DSAI
    Andere beteiligte Person: Allan Hanbury, Vienna University of

    J. Bogensperger:
    "Exploring Transfer Learning Techniques for Named Entity Recognition in Noisy User-generated Text";
    Betreuer/in(nen): A. Hanbury; Technical University of Vienna/Institute for Information Systems Engineering, 2021; Abschlussprüfung: 25.08.2021.

  2. Autor/in: Clemens Heistracher, DSAI
    Andere beteiligte Person: Martin Gröschl, Vienna University of

    C. Heistracher:
    "Machine Learning Methods for Analysis and Prognosis of Outages in Reactive Ion Etching Processes in the Semiconductor Industry";
    Betreuer/in(nen): M. Gröschl; TU Wien - Institut für Angewandte Physik, 2022; Abschlussprüfung: 14.01.2022.

  3. Autor/in: Peter Holzer, DSAI
    Andere beteiligte Personen: Bernhard Haslhofer, DSAI; Matteo Maffei, Fachbereicht Sec ...

    P. Holzer:
    "Payment Channel Network Analysis with Focus on Lightning Network";
    Betreuer/in(nen): B. Haslhofer, M. Maffei; TU - Software Engineering & Internet Computing, 2020; Abschlussprüfung: 11.10.2020.

  4. Autor/in: Diana Elena Ion
    Andere beteiligte Personen: Bernhard Haslhofer, DSAI; Antonio Faonio, Institut Eurécom

    E. Ion:
    "Decentralized Finance Analysis";
    Betreuer/in(nen): B. Haslhofer, A. Faonio; Institut Eurécom, Universität in Biot, Frankreich, 2021; Abschlussprüfung: 14.09.2021.

  5. Autor/in: Daria Liakhovets, DSAI
    Andere beteiligte Person: Alexander Schindler, DSAI

    D. Liakhovets:
    "Automatisierter erklärbarer Ansatz für die Erkennung von Hassreden in Online-Diskussionsforen";
    Betreuer/in(nen): A. Schindler; FH Wr. Neustadt, 2021; Abschlussprüfung: 22.07.2021.

  6. Autor/in: Héctor Ochoa Ortiz, Vienna University of
    Andere beteiligte Personen: Georg Gartner, Vienna University of; Anita Graser, DSAI

    H. Ochoa Ortiz:
    "Pedestrian routing of dynamic areas using Volunteered Geographical Information (OpenStreetMap)";
    Betreuer/in(nen): G. Gartner, A. Graser; TU Wien, Dept. für Geodäsie und Geoinformation, 2022; Abschlussprüfung: 23.09.2022.

  7. Autor/in: Mina Schütz, DSAI
    Andere beteiligte Person: Alexander Schindler, DSAI

    M. Schütz:
    "Detection and Identification of Fake News: Binary Content Classification with a Pre-Trained Language Model";
    Betreuer/in(nen): A. Schindler; Hochschule Darmstadt, Fachbereich Media, Studiengang Informationswissenschaft, 2020; Abschlussprüfung: 30.04.2020.

  8. Autor/in: Alexander Tatowsky, DSAI
    Andere beteiligte Person: Andreas Rauber, Vienna University of

    A. Tatowsky:
    "Predicting Machine Outages using Deep Learning";
    Betreuer/in(nen): A. Rauber; TU Wien, Institut für Information Systems Engineering, 2021; Abschlussprüfung: 17.11.2021.

  9. Autor/in: Christian Winter
    Andere beteiligte Personen: Bernhard Haslhofer, DSAI; Zoltan Fazekas

    C. Winter:
    "Analysis of Smart Contracts and Token Networks";
    Betreuer/in(nen): B. Haslhofer, Z. Fazekas; FH Technikum- Innovation & Technology Management, 2020; Abschlussprüfung: 11.09.2020.


Bachelorarbeiten (eigene und betreute)


  1. Autor/in: Dominik P. Vesely
    Andere beteiligte Personen: Bernhard Haslhofer, DSAI; Gernot Salzer

    D. Vesely:
    "An Economic and Technological Analysis of Facebook´s Proposed Cryptocurrency";
    Betreuer/in(nen): B. Haslhofer, G. Salzer; TU Wien- Logic & Computation, 2020.