Recski, G., Lellmann, B., Kovacs, A., Hanbury, A. (2021) Explainable Rule Extraction via Semantic Graphs,, Proceedings of the Fifth Workshop on Automated Semantic Analysis of Information in Legal Text (ASAIL 2021).
Heiler, G., Hanbury, A. (2020) Comparing Implementation Variants Of Distributed Spatial Join on Spark, 2019 IEEE International Conference on Big Data (Big Data).
Hanbury, A. (2020) Corona und die Wissenschaft. Panel Diskussion., 27. TU Forum: Corona und die Wissenschaft, Wien (online).
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).
Hanbury, A. (2020) Supporting Systematic Reviews in Medicine, WOSP 2020 - 8th International Workshop on Mining Scientific Publications, Wuhan, China (online).
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.
Hanbury, A. (2020) Von der KI Forschung zum Produkt - Herausforderungen und Erfolge, Workshop: Künstliche Intelligenz in der Gesundheit, Regensburg, Germany (online).
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).
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.
Hanbury, A. (2020) Die Datenwirtschaft und die Data Intelligence Offensive, ADV Tagung 2020: Trends in der Digitalisierung, Wien.
Hanbury, A. (2020) Explainable AI in the medical and legal domains, International Digital Security Forum Vienna, Wien (online).
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).
Hanbury, A. (2020) Open Science with Closed Data, Online conference 'Openness and Commercialisation: How the two can go together', TU Delft, Delft (online).
Müller, H., Hanbury, A. (2019) EaaS: Evaluation-as-a-Service and Experiences from the VISCERAL Project., Springer, Information Retrieval Evaluation in a Changing World.
Hanbury, A. (2019) Supporting Manual Annotation of Chatbot Information, Eötvös Loránd University (ELTE), Budapest, Hungary.
Piroi, F., Hanbury, A. (2019) Multilingual Patent Text Retrieval Evaluation: CLEF-IP, Springer, Information Retrieval Evaluation in a Changing World.
Hofstätter, S., Hanbury, A. (2019) Let's measure run time! Extending the IR replicability infrastructure to include performance aspects, Proceedings of the Open-Source IR Replicability Challenge (OSIRRC 2019) co-located with 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019).
Hanbury, A. (2019) Data Market Austria / Data Intelligence Offensive, German Ministry of Economics and Energy (Member of the Austrian Delegation), Berlin, Germany.
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.
Hanbury, A. (2019) Data Market Austria: Anforderungsanalyse und Entwicklungsherausforderungen, Data Market Austria Closing Conference, Wien.
Zlabinger, M., Rekabsaz, N., Zlabinger, S., Hanbury, A. (2019) Efficient Answer-Annotation for Frequent Questions, Springer, Experimental IR Meets Multilinguality, Multimodality, and Interaction.10th International Conference of the CLEF Association, CLEF 2019 Lugano, Switzerland, September 9-12, 2019. Proceedings..
Hanbury, A. (2019) AI Strategy in Austria, European Big Data Value Forum. Session: "Challenges & Strategies of Member States as Foundations for a European AI Strategy", Helsinki, Finland.
Hanbury, A. (2019) Searching and Mining Medical Documents, First Vienna Symposium Meeting on Machine Learning in Medicine & Biology, Wien.
Hanbury, A. (2019) Alexa, wir müssen reden!, Panel Diskussion: Alexa, wir müssen reden! International Forum for Business Communication., Wien.