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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.
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.
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.
Hofstätter, S., Rekabsaz, N., Eickhoff, C., Hanbury, A. (2019) On the Effect of Low-Frequency Terms on Neural-IR Models, Association for Computing Machinery, SIGIR'19: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval.
Mukamakuza, C., Sacharidis, D., Werthner, H. (2019) The Impact of Social Connections in Personalization, UMAP'19 Adjunct: Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization.
Aral, A. (2019) Distributed Systems, Erasmus+ GraDAna Second School, Aristotle University of Thessaloniki, Greece.
Hanbury, A. (2019) Supporting Manual Annotation of Chatbot Information, Eötvös Loránd University (ELTE), Budapest, Hungary.
Hofstätter, S., Rekabsaz, N., Lupu, M., Eickhoff, C. (2019) Enriching Word Embeddings for Patent Retrieval with Global Context, Springer, Cham, Advances in Information Retrieval. 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14-18, 2019, Proceedings, Part I.
Aral, A. (2019) Distributed Systems, Erasmus+ GraDAna Winter School, Aristotle University of Thessaloniki, Greece.
Bauer, W., Kryvinska, N., Dorn, J. (2019) Extending Linked USDL by Trust Assertion, ACM, Proceeedings of the 21st International Conference on Information Integration and Web-based Applications & Services (iiWAS2019).
Žilić, J., Aral, A., Brandić, I. (2019) EFPO: Energy Efficient and Failure Predictive Edge Offloading., UCC'19: Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing.
Brandić, I. (2019) Near Real Time Edge Analytics, Europe Korea Conference on Science and Technology 2019, Vienna.
Delic, A., Ricci, F., Neidhardt, J. (2019) Preference Networks and Non-Linear Preferences in Group Recommendations., Proceedings of the WI'19 IEEE/WIC/ACM International Conference on Web Intelligence.
Tocze, K., Schmitt, N., Brandić, I., Aral, A. (2019) Towards Edge Benchmarking: A Methodology for Characterizing Edge Workloads., Proceedings. 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems FAS*W 2019, .
Aral, A. (2019) Fault-tolerant and Distributed Data Analytics at the Edge, Istanbul Technical University, Faculty of Computer and Informatics Engineering, Istanbul, Turkey.
Brandić, I. (2019) Resilience at the Edge, Workshop on Distributed Cloud Computing (DCC) 2019, co-located with DISC 2019, Budapest, Hungary.
Hanbury, A. (2019) Data Market Austria / Data Intelligence Offensive, German Ministry of Economics and Energy (Member of the Austrian Delegation), Berlin, Germany.
Müller, H., Hanbury, A. (2019) EaaS: Evaluation-as-a-Service and Experiences from the VISCERAL Project., Springer, Information Retrieval Evaluation in a Changing World.