Publications

Werthner, H. (2020) Das Wiener Manifest für Digitalen Humanismus., Ecowin, Digitaler Wandel und Ethik.
Zlabinger, M., Hofstätter, S., Rekabsaz, N., Hanbury, A. (2020) DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations, Springer Nature Switzerland AG 2021, Advances in Information Retrieval 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings, Part II.
Hofstätter, S., Zlabinger, M., Hanbury, A. (2020) Interpretable & time-budget-constrained contextualization for re-ranking, IOS Press, ECAI 2020 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain - Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020).
Sabou, R., Käsznar, K., Zlabinger, M., Biffl, S. (2020) Verifying Extended Entity Relationship Diagrams with Open Tasks, Proceedings of the 8th AAAI Conference on Human Computation and Crowdsourcing, HCOMP.
Hanbury, A. (2020) Von der KI Forschung zum Produkt - Herausforderungen und Erfolge, Workshop: Künstliche Intelligenz in der Gesundheit, Regensburg, Germany (online).
Dorn, J. (2020) Web Information Retrieval and Search, Springer International Publishing Switzerland, Handbook of e-Tourism, .
Bellatreche, L., Bentayeb, F., Bielikova, M., Catania, B. (2020) Databases and Information Systems in the AI Era: Contributions from ADBIS, TPDL and EDA 2020 Workshops and Doctoral Consortium, Springer Nature Switzerland AG 2021, ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium International Workshops: DOING, MADEISD, SKG, BBIGAP, SIMPDA, AIMinScience 2020 and Doctoral Consortium, Lyon, France, August 25-27, 2020, Proceedings.
Zlabinger, M., Sabou, R., Hofstätter, S., Hanbury, A. (2020) Effective Crowd-Annotation of Participants, Interventions, and Outcomes in the Text of Clinical Trial Reports, The Association for Computational Linguistics, Findings of the Association for Computational Linguistics: EMNLP 2020.
Hofstätter, S., Zlabinger, M., Hanbury, A. (2020) Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-ranking Results, Springer, Advances in Information Retrieval 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings, Part II.
Recski, G., Kovacs, A., Gemes, K., Ács, J. (2020) BME-TUW at SR´20: Lexical grammar induction for surface realization, Proceedings of the Third Workshop on Multilingual Surface Realisation (MSR´20).
Sacharidis, D. (2020) Building User Trust in Recommendations via Fairness and Explanations, Association for Computing Machinery, New York, NY, USA, UMAP '20 Adjunct: Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization.
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).
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.
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.

Pages