Publications
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.
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, 
.
.
Hofmann, K., Marakasova, A., Baumann, A., Neidhardt, J. (2020) Comparing Lexical Usage in Political Discourse across Diachronic Corpora., ACL Anthology, Proceedings of the Second ParlaCLARIN Workshop. Language Resources and Evaluation Conference (LREC 2020), Marseille, 11-16 May 2020..
Hofstätter, S., Zlabinger, M., Sertkan, M., Schröder, M. (2020) Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering, Association for Computing Machinery, Proceedings of the 29th ACM International Conference on Information & Knowledge Management, .
.
Sertkan, M., Neidhardt, J., Werthner, H. (2020) Eliciting Touristic Profiles: A User Study on Picture Collections., Association for Computing Machinery, New York, NY, USA, UMAP '20: Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization.
Brandić, I. (2020) Ressourcenverbrauch der digitalen Transformation, Forum TU Vision 2025+ Klimakrise. Wissenschaft. Verantwortung., Wien (online).
Heiler, G., Reisch, T., Hurt, J., Forghani, M. (2020) Country-wide mobility changes observed using mobile phone data during COVID-19 pandemic, ArXiv, 2008.10064-.
Werthner, H. (2020) The Vienna Manifesto on Digital Humanism, Ecowin, Digital Transformation and Ethics.
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, .
.
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.
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.
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-.
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).
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.
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., 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.