Publications
Hanbury, A. (2020) Die Datenwirtschaft und die Data Intelligence Offensive, ADV Tagung 2020: Trends in der Digitalisierung, Wien.
Neidhardt, J. (2020) A Picture-based Approach to Travel Recommender Systems, Distinguished Speakers: Oxford Women in Computer Science. Department of Computer Science. University of Oxford, Oxford, UK.
Sertkan, M., Neidhardt, J., Werthner, H. (2020) From Pictures to Travel Characteristics: Deep Learning-Based Profiling of Tourists and Tourism Destinations, Springer, Information and Communication Technologies in Tourism 2020. Proceedings of the International Conference in Surrey, United Kingdom, January 08-10, 2020.
Hanbury, A. (2020) Explainable AI in the medical and legal domains, International Digital Security Forum Vienna, Wien (online).
Heiler, G. (2020) Mobility monitoring in Austria during the COVID NPI, Online-Workshop "KI und Simulationen im Einsatz gegen COVID-19", organisiert von BMK COVID Pop-Up Hub und DIO (Arbeitsgruppe Daten für Neue Technologien und Forschung in der Gesundheit der Data Intelligence Offensive), Wien, 
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Neidhardt, J. (2020) A Picture-based Approach to Travel Recommender Systems, BIDA Seminar, Birkbeck Institute For Data Analytics, University of London, London, UK, London, UK.
Cuzzocrea, A., De Maio, V., Fadda, E. (2020) Experimenting and Assessing a Distributed Privacy-Preserving OLAP over Big Data Framework: Principles, Practice, and Experiences, IEEE, 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC).
Zlabinger, M., Sabou, R., Hofstätter, S., Sertkan, M. (2020) DEXA: Supporting Non-Expert Annotators with Dynamic Examples from Experts, Association for Computing Machinery, New York, NY, United States, SIGIR '20: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval.
Aral, A., Brandić, I., Uriarte, R., de Nicola, R. (2019) Addressing Application Latency Requirements through Edge Scheduling, Journal of Grid Computing, 17-4.
Seyfang, L., Neidhardt, J. (2019) A Framework for Recommender Systems Based on a Finite Multidimensional Model Space., Proceedings of the ACM Workshop of Recommenders in Tourism (RecTour) 2019.
Mukamakuza, C., Sacharidis, D., Werthner, H. (2019) The Role of Activity and Similarity in Rating and Social Behavior in Social Recommender Systems., International Journal on Artificial Intelligence Tools, 28-6-1960004.
Piroi, F., Hanbury, A. (2019) Multilingual Patent Text Retrieval Evaluation: CLEF-IP, Springer, Information Retrieval Evaluation in a Changing World.
Neidhardt, J., Wörndl, W., Kuflik, T., Zanker, M. (2019) RecTour 2019: workshop on recommenders in tourism, ACM Digital Library, RecSys '19: Proceedings of the 13th ACM Conference on Recommender Systems.
Dorn, J. (2019) Managing Experience in Business Process Management, 10th Conference Professional Knowledge Management, .
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Neidhardt, J. (2019) It's happening, so what?, Menschen und Maschinen. Visionen unserer digitalen Zukunft, TU Wien, Wien.
Goldfarb, D., Merkl, W. (2019) Data-Driven Maps of Art History, International Journal of Art, Culture and Design Technologies (IJACDT), 8-1, .
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Brandić, I. (2019) Facilitating Near Real Time Analytics on the Edge, 8th Mediterranean Conference on Embedded Computing (MECO), 8th Mediterranean Conference on Embedded Computing (MECO).
Lujić, I., Truong, H. (2019) Architecturing Elastic Edge Storage Services for Data-Driven Decision Making, Springer, European Conference on Software Architecture.
Hanbury, A. (2019) Search to Support Radiologists: from a research prototype to a product, Search Solutions (BCS IRSG), London.
Neidhardt, J. (2019) NutzerInnen sind ein komplexes Phänomen., Menschen und Maschinen. Visionen unserer digitalen Zukunft, TU Wien, Wien.
Baumann, A., Neidhardt, J., Wissik, T. (2019) DYLEN: Diachronic Dynamics of Lexical Networks., Poster Proceedings of 2nd Conference on Language, Data and Knowledge (LDK 2019).
Sacharidis, D., Mouratidis, K., Kleftogiannis, D. (2019) A Common Approach for Consumer and Provider Fairness, ACM RecSys 2019 Late-breaking Results.
Aral, A. (2019) 5G Multi-Access Edge Computing: Non-Functional Requirements, 5th International B2B Software Days, Vienna, Austria.
Hanbury, A. (2019) AI Strategy in Austria, European Big Data Value Forum. Session: "Challenges & Strategies of Member States as Foundations for a European AI Strategy", Helsinki, Finland.
Hanbury, A. (2019) Searching and Mining Medical Documents, First Vienna Symposium Meeting on Machine Learning in Medicine & Biology, Wien.
Neidhardt, J. (2019) Recommender Systems and Decision-making in the Tourism Domain., International Alan Turing Conference on Decision Support and Recommender Systems (DSRS-Turing'19), London, UK.
Hofstätter, S., Hanbury, A. (2019) Let's measure run time! Extending the IR replicability infrastructure to include performance aspects, Proceedings of the Open-Source IR Replicability Challenge (OSIRRC 2019) co-located with 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019).
Weydemann, L., Sacharidis, D., Werthner, H. (2019) Defining and Measuring Fairness in Location Recommendations, LocalRec '19: Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising.