Publications
Gemes, K., Recski, G. (2021) TUW-Inf at GermEval2021: Rule-based and Hybrid Methods for Detecting Toxic, Engaging, and Fact-Claiming Comments, netlibrary, Proceedings of the GermEval 2021 Workshop on the Identification of Toxic, Engaging, and Fact-Claiming Comments : 17th Conference on Natural Language Processing KONVENS 2021, 
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Recski, G., Lellmann, B., Kovacs, A., Hanbury, A. (2021) Explainable Rule Extraction via Semantic Graphs, CEUR-WS.org, Proceedings of the Fifth Workshop on Automated Semantic Analysis of Information in Legal Text (ASAIL 2021).
Csaky, R., Recski, G. (2021) The Gutenberg Dialogue Dataset, The Association for Computational Linguistics, Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume.
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.
Lucanin, D., Pietri, I., Holmbacka, S., Brandić, I. (2020) Performance-Based Pricing in Multi-Core Geo-Distributed Cloud Computing, IEEE Transactions on Cloud Computing, 8-4.
Reisch, T., Heiler, G., Hurt, J., Klimek, P. (2020) Behavioural gender differences are increased by lock-down measures., ArXiv, 2010.10470-.
Aral, A., Uriarte, R., Simonet-Boulogne, A., Brandić, I. (2020) Reliability Management for Blockchain-Based Decentralized Multi-Cloud, IEEE, 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID).
Marakasova, A., Neidhardt, J. (2020) Short-term Semantic Shifts and their Relation to Frequency Change, Proceedings of the Probability and Meaning Conference (PaM 2020).
Hanbury, A. (2020) Corona und die Wissenschaft. Panel Diskussion., 27. TU Forum: Corona und die Wissenschaft, Wien (online).