Publications
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. (2020) Learning Spatiotemporal Failure Dependencies for Resilient Edge Computing Services, IEEE Transactions on Parallel and Distributed Systems, 32-7.
Mitra, B., Hofstätter, S., Zamani, H., Craswell, N. (2020) Conformer-Kernel with Query Term Independence for Document Retrieval, ArXiv, 2007.10434-.
Defiebre, D., Sacharidis, D., Germanakos, P. (2020) A Decentralized Recommendation Engine in the Social Internet of Things, Association for Computing Machinery, New York, NY, USA, UMAP '20 Adjunct: Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization.
Sertkan, M., Neidhardt, J., Werthner, H. (2020) PicTouRe - A Picture-Based Tourism Recommender, Association for Computing Machinery, New York, United States, RecSys '20: Fourteenth ACM Conference on Recommender Systems. Virtual Event. Brazil. September, 2020.
Neidhardt, J., Wörndl, W. (2020) Information and Communication Technologies in Tourism 2020 Proceedings of the International Conference in Surrey, United Kingdom, January 08-10, 2020, Springer International Publishing, .
De Maio, V., Kimovski, D. (2020) Multi-objective scheduling of extreme data scientific workflows in Fog, Future Generation Computer Systems, 106-.
Kromp, F., Rifatbegovic, F., Fischer, L., Ambros, M. (2020) An annotated fluorescence image dataset for training nuclear image segmentation methods, Scientific Data, 7-262.
Luef, J., Ohrfandl, C., Sacharidis, D., Werthner, H. (2020) A Recommender System for Investing in Early-Stage Enterprises, SAC '20: Proceedings of the 35th Annual ACM Symposium on Applied Computing, March 2020.
Mitra, B., Hofstätter, S., Zamani, H., Craswell, N. (2020) Conformer-Kernel with Query Term Independence at TREC 2020 Deep Learning Track, NIST Special Publication: The Twenty-Ninth Text REtrieval Conference Proceedings (TREC 2020).
Hanbury, A. (2020) Medizinische Daten und künstliche Intelligenz, Webinar "Medizinische Datenintelligenz", organised by the Research and Transfer Support office of the TU Wien, Wien (online).
Aral, A., Erol-Kantarci, M., Brandić, I. (2020) Staleness Control for Edge Data Analytics, Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS), 4-2, Article No.: 38.
Torre, E., Durillo, J., De Maio, V. (2020) A dynamic evolutionary multi-objective virtual machine placement heuristic for cloud data centers, Information and Software Technology, 128-106390.
Hanbury, A. (2020) Open Science with Closed Data, Online conference 'Openness and Commercialisation: How the two can go together', TU Delft, Delft (online).
Aral, A., De Maio, V. (2020) Simulators and Emulators for Edge Computing, IET The Institution of Engineering and Technology, Edge Computing: Models, Technologies and Applications.
Aral, A., Erol-Kantarci, M., Brandić, I. (2020) Staleness Control for Edge Data Analytics, Association for Computing Machinery, New York, NY, United States, SIGMETRICS '20: Abstracts of the 2020 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems, June 2020.
Baumann, A., Hofmann, K., Marakasova, A., Neidhardt, J. (2020) Semantic shifts in the Austrian public discourse: A lexical networks approach, 42nd Annual Conference of the German Linguistic Society (DGfS 2020).
Hofstätter, S. (2020) End-to-End Contextualized Document Indexing and Retrieval with Neural Networks, 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.
Kovacs, A., Gemes, K., Kornai, A., Recski, G. (2020) BMEAUT at SemEval-2020 Task 2: Lexical Entailment with Semantic Graphs, ACL Anthology, Proceedings of the 14th International Workshop on Semantic Evaluation, Barcelona, Spain (Online), December 12, 2020.
Hofstätter, S., Hanbury, A. (2020) Evaluating Transformer-Kernel Models at TREC Deep Learning 2020, NIST Special Publication: The Twenty-Ninth Text REtrieval Conference Proceedings (TREC 2020).
Brandić, I. (2020) Disrupting energy, Singularity University, chapter Vienna, Salon#12, Vienna.
Gretzel, U., Fuchs, M., Baggio, R., Hoepken, W. (2020) e-Tourism beyond COVID-19: a call for transformative research., Information Technology & Tourism, 22-.
Sacharidis, D., Mukamakuza, C., Werthner, H. (2020) Fairness and Diversity in Social-Based Recommender Systems, Association for Computing Machinery, New York, NY, USA, UMAP '20: Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization.
Hofstätter, S., Althammer, S., Schröder, M., Sertkan, M. (2020) Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation, ArXiv, 2010.02666-.
Heiler, G., Hanbury, A. (2020) Comparing Implementation Variants Of Distributed Spatial Join on Spark, 2019 IEEE International Conference on Big Data (Big Data).
Hofstätter, S., Lipani, A., Zlabinger, M., Hanbury, A. (2020) Learning to Re-Rank with Contextualized Stopwords, Proceedings of the 29th ACM International Conference on Information & Knowledge Management.