Allan Hanbury
Univ.Prof. Dr.
Research Focus
- Information Systems Engineering: 80%
- Visual Computing and Human-Centered Technology: 20%
Research Areas
- Information Retrieval, Data Mining, Information Extraction
About
Allan Hanbury is Professor for Data Intelligence, head of the Data Science Research Unit, and Vice Dean of Academic Affairs for Business Informatics and Data Science in the Faculty of Informatics, TU Wien, Austria. He is also faculty member of the Complexity Science Hub Vienna.
He was scientific coordinator of the EU-funded Khresmoi Project on medical and health information search and analysis, and is co-founder of contextflow, the spin-off company commercialising the radiology image search technology developed in the Khresmoi project. He is coordinator of DoSSIER, a Marie Curie Innovative Training Network, educating 15 doctoral students on domain-specific systems for information extraction and retrieval. He also coordinated the EU-funded VISCERAL project on evaluation of algorithms on big data, and the EU-funded KConnect project on technology for analysing medical text.
Roles
-
Vice Dean of Academic Affairs
Business Informatics
Office of the Dean, E199-01 -
Head of Research Unit
Data Science, E194-04 -
Full Professor
Data Science, E194-04 -
Curriculum Coordinator
Double-Degree Program INSA Lyon/TU Wien
Contact
- allan.hanbury@tuwien.ac.at
- +43-1-58801-188310
- Favoritenstrasse 11, Room HG0101
- Favoritenstrasse 11, Room HG0109
- vCard from TISS
Courses
2022W
- Bachelor Thesis for Informatics and Business Informatics / 188.944 / PR
- Data-oriented Programming Paradigms / 188.995 / VU
- Domain-Specific Lectures in Data Science / 194.068 / VU
- E-Commerce / 188.427 / VU
- Experiment Design for Data Science / 188.992 / VU
- Interdisciplinary Lecture Series on Data Science / 194.046 / VU
- Interdisciplinary Project in Data Science / 194.047 / PR
- Introduction to Information Retrieval / 188.977 / VU
- Natural Language Processing and Information Extraction / 194.093 / VU
- Research Seminar for Ph.D. Students / 188.423 / SE
- Seminar for Master Students in Data Science / 180.772 / SE
2023S
- Bachelor Thesis for Informatics and Business Informatics / 188.944 / PR
- Computational Social Science / 194.136 / VU
- Domain-Specific Lectures in Data Science / 194.068 / VU
- Innovation / 188.915 / VU
- Interdisciplinary Project in Data Science / 194.060 / PR
- Research Seminar for Ph.D. Students / 188.423 / SE
- Scientific Research and Writing / 193.052 / SE
- Seminar for Master Students in Data Science / 180.772 / SE
Projects
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Transparent Automated Content Moderation
2021 – 2025 / Vienna Science and Technology Fund (WWTF) -
Transparente und erklärbare KI in der Textanalyse
2021 – 2022 / XUND Solutions GmbH -
Betreuung von zwei Masterarbeiten zu den Themen „Extraktion von komplexen Tabellen aus PDF Dokumenten“ und „Klassifizierung von Immobilienobjekten in Texten“
2021 – 2022 / DataScience Service GmbH -
AI-driven Effective Query Formulation for Better Systematic Reviews
2021 – 2022 / Australian Research Council -
b2match
2020 – 2021 / Austrian Research Promotion Agency (FFG) -
Evaluating the Improvement of Segmentation and Classification Algorithms in Evidence Extraction for Legal e-Discovery
2020 – 2021 / m2n - consulting and development gmbh -
Informationsextraktion aus medizinischen Case-Studies Phase 2
2020 – 2021 / XUND Solutions GmbH -
Tone Analysis for Chatbots
2020 – 2021 / Botium GmbH -
Synthesis of Disease Spread and Network Reduction Data for COVID-19 Simulation
2020 – 2021 / Vienna Science and Technology Fund (WWTF) -
Medizinische Datenintelligenz
2020 / Wirtschaftskammer Wien -
Informationsextraktion aus medizinischen Case-Studies Phase 1
2020 / XUND Solutions GmbH -
Domain Specific Systems for Information Extraction and Retrieval
2019 – 2024 / European Commission / Publications: 149424, 149434, 149451, 152053, 152153, 152156, 152157, 152521, 152522, 152528, 152529 -
Building Regulation Information for Submission Envolvement - Vienna
2019 – 2023 / European Commission / Publication: 147659 -
Visual History of the Holocaust: Rethinking Curation in the Digital Age
2019 – 2023 / European Commission / Publications: 144100, 144102, 144103, 149436 -
Knowledge Recognition for Evidence eXtraction
2019 – 2021 / FFG - Österr. Forschungsförderungs- gesellschaft mbH -
Kurzberatung in Produkt- und Prozessinnovation
2019 – 2020 / DataScience Service GmbH -
Natural Language Understanding und Suche für Chatbots
2019 / Jingle GmbH -
JAASPER Projekt ML/NLP
2019 / JAAS GmbH -
Data Intelligence ¿ Tinka Proactive Services
2016 – 2017 / Deutsche Telekom AG -
Harnessing Information from Social Networks in Industry 4.0
2016 – 2017 / Austrian Research Promotion Agency (FFG) -
Automatic optimization of semantic matching performance to a client's technical domain
2015 – 2017 / Austrian Research Promotion Agency (FFG) -
Khresmoi Multilingual Medical Text Analysis, Search and Machine Translation Connected in a Thriving Data-Value Chain
2015 – 2017 / European Commission -
TISQUANT
2014 – 2018 / Austrian Research Promotion Agency (FFG) -
Abstracting Domain-Specific Information Retrieval and Evaluation
2013 – 2017 / Austrian Science Fund (FWF) -
Multimedia and User Credibility Knowledge Extraction
2012 – 2016 / Austrian Science Fund (FWF) -
Image Mining for Patent Exploration
2012 – 2015 / Austrian Research Promotion Agency (FFG) / Publications: 57723, 57724, 58128 -
Pluggable Platform for Personalised Multilingual Patent Search
2011 – 2015 / European Commission -
Knowledge Helper for Medical and Other Information Users
2011 – 2014 / European Commission / Publications: 57651, 90005 -
Participative Research labOratory for Multimedia and Multilingual Information Systems Evaluation
2011 – 2013 / European Commission / Publications: 170998, 171178, 57721, 57722, 58128, 58760 -
Efficient Segmentation for Multimedia Semantic Extraction
2004 – 2007 / Austrian Science Fund (FWF)
Publications
Note: Due to the rollout of TU Wien’s new publication database, the list below may be slightly outdated. Once the migration is complete, everything will be up to date again.
2022
- Professional Search in Context / Hanbury, A. (2022, November 2). Professional Search in Context [Presentation]. University of Queensland, Australia.
- Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized Late Interactions using Enhanced Reduction / Hofstätter, S., Khattab, O., Althammer, S., Sertkan, M., & Hanbury, A. (2022). Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized Late Interactions using Enhanced Reduction. In CIKM ’22: Proceedings of the 31st ACM International Conference on Information & Knowledge Management (pp. 737–747). Association for Computing Machinery (ACM). https://doi.org/10.1145/3511808.3557367 / Project: DoSSIER
- TripJudge: A Relevance Judgement Test Collection for TripClick Health Retrieval / Althammer, S., Hofstätter, S., Verberne, S., & Hanbury, A. (2022). TripJudge: A Relevance Judgement Test Collection for TripClick Health Retrieval. In CIKM ’22: Proceedings of the 31st ACM International Conference on Information & Knowledge Management (pp. 3801–3805). https://doi.org/10.1145/3511808.3557714
- Leveraging Wikipedia Knowledge for Distant Supervision in Medical Concept Normalization / Ningtyas, A. M., El-Ebshihy, A., Herwanto, G. B., Piroi, F., & Hanbury, A. (2022). Leveraging Wikipedia Knowledge for Distant Supervision in Medical Concept Normalization. In Experimental IR Meets Multilinguality, Multimodality, and Interaction (pp. 33–47). Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-031-13643-6_3
- AI and Data Landscape in Austria / Hanbury, A. (2022, July 11). AI and Data Landscape in Austria [Presentation]. Horizon Europe – AI, Data & Robotics Consortia Building Event, United Kingdom of Great Britain and Northern Ireland (the). http://hdl.handle.net/20.500.12708/153256
- DoSSIER at MedVidQA 2022: Text-based Approaches to Medical Video Answer Localization Problem / Kusa, W., Peikos, G., Espitia Mendoza, Ó., Hanbury, A., & Pasi, G. (2022). DoSSIER at MedVidQA 2022: Text-based Approaches to Medical Video Answer Localization Problem. In Proceedings of the 21st Workshop on Biomedical Language Processing (pp. 432–440). Association for Computational Linguistics. https://doi.org/10.18653/v1/2022.bionlp-1.43 / Project: DoSSIER
- Automated analysis of legal text for building regulation: the BRISE project / Hanbury, A. (2022, April 21). Automated analysis of legal text for building regulation: the BRISE project [Presentation]. HPC for digital history and public administration, Luxembourg. http://hdl.handle.net/20.500.12708/153859 / Project: VHH
- The DoSSIER project: Domain Specific Systems for Information Extraction and Retrieval / Hanbury, A. (2022, April 10). The DoSSIER project: Domain Specific Systems for Information Extraction and Retrieval [Keynote Presentation]. 1st Workshop on Augmented Intelligence for Technology-Assisted Reviews Systems: Evaluation Metrics and Protocols for eDiscovery and Systematic Review Systems (with the ECIR), Stavanger, Norway. / Project: DoSSIER
- PARM: A Paragraph Aggregation Retrieval Model for Dense Document-to-Document Retrieval / Althammer, S., Hofstätter, S., Sertkan, M., Verberne, S., & Hanbury, A. (2022). PARM: A Paragraph Aggregation Retrieval Model for Dense Document-to-Document Retrieval. In Advances in Information Retrieval (pp. 19–34). Springer. https://doi.org/10.1007/978-3-030-99736-6_2
- 3rd Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2022) / Krestel, R., Aras, H., Andersson, L., Piroi, F., Hanbury, A., & Alderucci, D. (2022). 3rd Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2022). Association for Computing Machinery. https://doi.org/10.1145/3477495.3531702 / Project: DoSSIER
- Proceedings of the 3rd Workshop on Patent Text Mining and Semantic Technologies / Krestel, R., Aras, H., Andersson, L., Piroi, F., Hanbury, A., & Alderucci, D. (Eds.). (2022). Proceedings of the 3rd Workshop on Patent Text Mining and Semantic Technologies. https://doi.org/10.34726/3550 / Project: DoSSIER
2021
- 2nd Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2021) / Krestel, R., Aras, H., Andersson, L., Piroi, F., Hanbury, A., & Alderucci, D. (2021). 2nd Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2021). In F. Diaz, C. Shah, & T. Suel (Eds.), Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 2693–2696). https://doi.org/10.1145/3404835.3462816 / Project: DoSSIER
- Behavioral gender differences are reinforced during the COVID-19 crisis / Reisch, T., Heiler, G., Hurt, J., Klimek, P., Hanbury, A., & Thurner, S. (2021). Behavioral gender differences are reinforced during the COVID-19 crisis. Scientific Reports, 11(19241). https://doi.org/10.1038/s41598-021-97394-1
- Evaluation of Deep Learning architectures for complex immunofluorescence nuclear image segmentation / Kromp, F., Fischer, L., Bozsaky, E., Ambros, I., Dörr, W., Beiske, K., Ambros, P., Hanbury, A., & Taschner-Mandl, S. (2021). Evaluation of Deep Learning architectures for complex immunofluorescence nuclear image segmentation. IEEE Transactions on Medical Imaging, 40(7), 1934–1949. https://doi.org/10.1109/tmi.2021.3069558
- Detecting Multi Word Terms in patents the same way as entities / Fink, T., Andersson, L., & Hanbury, A. (2021). Detecting Multi Word Terms in patents the same way as entities. World Patent Information, 67(102078), 102078. https://doi.org/10.1016/j.wpi.2021.102078
- Open Science with Closed Data / Hanbury, A. (2021). Open Science with Closed Data. FIRE 2021 - Forum for Information Retrieval Evaluation, Virtual Event, Information Retrieval Society of India, Non-EU. http://hdl.handle.net/20.500.12708/87310
- Durch Daten zu neuen Erkenntnissen / Hanbury, A. (2021). Durch Daten zu neuen Erkenntnissen. Forum Digitalisierung, an internal event of the Administration of the Province of Lower Austria, St. Pölten, Austria, Austria. http://hdl.handle.net/20.500.12708/87309
- Open Science with Closed Data: Data Spaces and Data Circles / Hanbury, A. (2021). Open Science with Closed Data: Data Spaces and Data Circles. D4Dairy project meeting, Linz, Austria. http://hdl.handle.net/20.500.12708/87308
- Daten für neue Technologien und Forschung in der Gesundheit - eine Arbeitsgruppe der DIO / Hanbury, A., & Langs, G. (2021). Daten für neue Technologien und Forschung in der Gesundheit - eine Arbeitsgruppe der DIO. Imagine 21 - Create your Future - Mission Impossible?, Wien, Austria. http://hdl.handle.net/20.500.12708/87307
- Was ist KI und welchen Einfluss hat sie auf die Bauwirtschaft? / Hanbury, A. (2021). Was ist KI und welchen Einfluss hat sie auf die Bauwirtschaft? Kolloquium: Zukunftsfragen des Baubetriebs: Komplexe Baubetriebssysteme, Institut für Interdisziplinäres Bauprozessmanagement der TU Wien, Austria. http://hdl.handle.net/20.500.12708/87306
- Synthese von Krankheitsausbreitungs- und Netzwerksdaten für die Covid-19-Simulation / Hanbury, A., & Popper, N. (2021). Synthese von Krankheitsausbreitungs- und Netzwerksdaten für die Covid-19-Simulation. WWTF (Vienna Science and Technology Fund) Online Lecture Series “Vienna Researches Corona,” Wien, Austria. http://hdl.handle.net/20.500.12708/87304
- Effective and Efficient Neural Re-Ranking in Information Retrieval / Hanbury, A. (2021). Effective and Efficient Neural Re-Ranking in Information Retrieval. The USM (University of Southern Maine) Data Science Ensemble seminar series, USA, Non-EU. http://hdl.handle.net/20.500.12708/87305
- Effective and Efficient Neural Re-Ranking / Hanbury, A. (2021). Effective and Efficient Neural Re-Ranking. Huawei Amsterdam Research Centre “Professors @ Huawei” lecture series, Amsterdam, International. http://hdl.handle.net/20.500.12708/87303
- Wie die Partnerschaft von T-Labs und TU Wien Big Data Insights nutzt, um zum Kampf gegen COVID-19 beizutragen / Hanbury, A., & Heiler, G. (2021). Wie die Partnerschaft von T-Labs und TU Wien Big Data Insights nutzt, um zum Kampf gegen COVID-19 beizutragen. Internal Deutsche Telekom LEX webinar, Online, International. http://hdl.handle.net/20.500.12708/87302
- How the T-Labs and TU Wien Partnership uses Big Data insights to contribute to the fight against COVID-19 / Hanbury, A., & Heiler, G. (2021). How the T-Labs and TU Wien Partnership uses Big Data insights to contribute to the fight against COVID-19. Internal Deutsche Telekom LEX webinar, Online, International. http://hdl.handle.net/20.500.12708/87301
- Explainable Rule Extraction via Semantic Graphs / Recski, G., Lellmann, B., Kovacs, A., & Hanbury, A. (2021). Explainable Rule Extraction via Semantic Graphs. In Proceedings of the Fifth Workshop on Automated Semantic Analysis of Information in Legal Text (ASAIL 2021) (pp. 24–35). CEUR-WS.org. http://hdl.handle.net/20.500.12708/58465
- Measuring Societal Biases from Text Corpora with Smoothed First-Order Co-occurrence / Rekabsaz, N., West, R., Henderson, J., & Hanbury, A. (2021). Measuring Societal Biases from Text Corpora with Smoothed First-Order Co-occurrence. In Proceedings of the International AAAI Conference on Web and Social Media (pp. 549–560). AAAI Press. http://hdl.handle.net/20.500.12708/55690
- Data Augmentation for Layperson’s Medical Entity Linking Task / Ningtyas, A. M., Piroi, F., Andersson, L., & Hanbury, A. (2021). Data Augmentation for Layperson’s Medical Entity Linking Task. In Forum for Information Retrieval Evaluation. Forum for Information Retrieval Evaluation (FIRE), Virtual Conference, International. https://doi.org/10.1145/3503162.3503172
- DoSSIER@COLIEE 2021: Leveraging dense retrieval and summarization-based re-ranking for case law retrieval / Althammer, S., Askari, A., Verberne, S., & Hanbury, A. (2021). DoSSIER@COLIEE 2021: Leveraging dense retrieval and summarization-based re-ranking for case law retrieval. In Proceedings of the Eighth International Competition on Legal Information Extraction/Entailment (COLIEE) (pp. 8–14). http://hdl.handle.net/20.500.12708/58761
- Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling / Hofstätter, S., Lin, S.-C., Yang, J.-H., Lin, J., & Hanbury, A. (2021). Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. SIGIR 2021 - The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, online, International. ACM. https://doi.org/10.1145/3404835.3462891
- Intra-Document Cascading / Hofstätter, S., Mitra, B., Zamani, H., Craswell, N., & Hanbury, A. (2021). Intra-Document Cascading. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. SIGIR 2021 - The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, online, International. ACM. https://doi.org/10.1145/3404835.3462889
- Cross-Domain Retrieval in the Legal and Patent Domains: A Reproducibility Study / Althammer, S., Hofstätter, S., & Hanbury, A. (2021). Cross-Domain Retrieval in the Legal and Patent Domains: A Reproducibility Study. In Lecture Notes in Computer Science (pp. 3–17). https://doi.org/10.1007/978-3-030-72240-1_1
- Mitigating the Position Bias of Transformer Models in Passage Re-ranking / Hofstätter, S., Lipani, A., Althammer, S., Zlabinger, M., & Hanbury, A. (2021). Mitigating the Position Bias of Transformer Models in Passage Re-ranking. In Lecture Notes in Computer Science (pp. 238–253). https://doi.org/10.1007/978-3-030-72113-8_16
- TUW-IFS at TREC NEWS 2020 Wikification Task / Ningtyas, A. M., El-Ebshihy, A., Piroi, F., Andersson, L., & Hanbury, A. (2021). TUW-IFS at TREC NEWS 2020 Wikification Task. In The Twenty-Ninth Text REtrieval Conference (TREC 2020) Proceedings (pp. 1–10). NIST. http://hdl.handle.net/20.500.12708/58735
- DreamDrug - A crowdsourced NER dataset for detecting drugs in darknet markets / Bogensperger, J., Schlarb, S., Hanbury, A., & Recski, G. (2021). DreamDrug - A crowdsourced NER dataset for detecting drugs in darknet markets. In Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.wnut-1.17
2020
- An annotated fluorescence image dataset for training nuclear image segmentation methods / Kromp, F., Rifatbegovic, F., Fischer, L., Ambros, M., Berneder, M., Weiss, T., Lazic, D., Dörr, W., & Hanbury, A. (2020). An annotated fluorescence image dataset for training nuclear image segmentation methods. Scientific Data, 7(262). https://doi.org/10.1038/s41597-020-00608-w
- BIAS: Transparent reporting of biomedical image analysis challenges / Maier-Hein, L., Reinke, A., Kozubek, M., Martel, A. L., Arbel, T., Eisenmann, M., & Hanbury, A. (2020). BIAS: Transparent reporting of biomedical image analysis challenges. Medical Image Analysis, 66(101796), 101796. https://doi.org/10.1016/j.media.2020.101796
- Country-wide mobility changes observed using mobile phone data during COVID-19 pandemic / Heiler, G., Reisch, T., Hurt, J., Forghani, M., Omani, A., Hanbury, A., & Karimipour, F. (2020). Country-wide mobility changes observed using mobile phone data during COVID-19 pandemic (p. 9). arXiv. https://doi.org/10.48550/arXiv.2008.10064
- The impact of COVID-19 on relative changes in aggregated mobility using mobile-phone data / Heiler, G., Hanbury, A., & Filzmoser, P. (2020). The impact of COVID-19 on relative changes in aggregated mobility using mobile-phone data (p. 14). arXiv. https://doi.org/10.48550/arXiv.2009.03798
- Behavioural gender differences are increased by lock-down measures. / Reisch, T., Heiler, G., Hurt, J., Klimek, P., Hanbury, A., & Thurner, S. (2020). Behavioural gender differences are increased by lock-down measures. (p. 26). arXiv. http://hdl.handle.net/20.500.12708/141682
- Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation / Hofstätter, S., Althammer, S., Schröder, M., Sertkan, M., & Hanbury, A. (2020). Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation (p. 8). arXiv. http://hdl.handle.net/20.500.12708/141680
- Explainable AI in the medical and legal domains / Hanbury, A. (2020). Explainable AI in the medical and legal domains. International Digital Security Forum Vienna, Wien (online), Austria. http://hdl.handle.net/20.500.12708/87139
- Open Science with Closed Data / Hanbury, A. (2020). Open Science with Closed Data. Online conference “Openness and Commercialisation: How the two can go together”, TU Delft, Delft (online), EU. http://hdl.handle.net/20.500.12708/87140
- Corona und die Wissenschaft. Panel Diskussion. / Hanbury, A. (2020). Corona und die Wissenschaft. Panel Diskussion. 27. TU Forum: Corona und die Wissenschaft, Wien (online), Austria. http://hdl.handle.net/20.500.12708/87138
- Die Datenwirtschaft und die Data Intelligence Offensive / Hanbury, A. (2020). Die Datenwirtschaft und die Data Intelligence Offensive. ADV Tagung 2020: Trends in der Digitalisierung, Wien, Austria. http://hdl.handle.net/20.500.12708/87137
- Von der KI Forschung zum Produkt - Herausforderungen und Erfolge / Hanbury, A. (2020). Von der KI Forschung zum Produkt - Herausforderungen und Erfolge. Workshop: Künstliche Intelligenz in der Gesundheit, Regensburg, Germany (online), EU. http://hdl.handle.net/20.500.12708/87136
- Supporting Systematic Reviews in Medicine / Hanbury, A. (2020). Supporting Systematic Reviews in Medicine. WOSP 2020 - 8th International Workshop on Mining Scientific Publications, Wuhan, China (online), Non-EU. http://hdl.handle.net/20.500.12708/87135
- Medizinische Daten und künstliche Intelligenz / 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), Austria. http://hdl.handle.net/20.500.12708/87134
- Comparing Implementation Variants Of Distributed Spatial Join on Spark / Heiler, G., & Hanbury, A. (2020). Comparing Implementation Variants Of Distributed Spatial Join on Spark. In 2019 IEEE International Conference on Big Data (Big Data) (pp. 6071–6073). http://hdl.handle.net/20.500.12708/58397
- Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-ranking Results / Hofstätter, S., Zlabinger, M., & Hanbury, A. (2020). Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-ranking Results. In Lecture Notes in Computer Science (pp. 459–464). Springer. https://doi.org/10.1007/978-3-030-45442-5_58
- Local Self-Attention over Long Text for Efficient Document Retrieval / Hofstätter, S., Zamani, H., Mitra, B., Craswell, N., & Hanbury, A. (2020). Local Self-Attention over Long Text for Efficient Document Retrieval. In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. SIGIR 2020 - 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, Xi’an, China, Non-EU. Association for Computing Machinery, New York, NY, United States. https://doi.org/10.1145/3397271.3401224
- DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations / Zlabinger, M., Hofstätter, S., Rekabsaz, N., & Hanbury, A. (2020). DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations. In Lecture Notes in Computer Science (pp. 433–440). Springer Nature Switzerland AG 2021. https://doi.org/10.1007/978-3-030-45442-5_54
- Effective Crowd-Annotation of Participants, Interventions, and Outcomes in the Text of Clinical Trial Reports / Zlabinger, M., Sabou, M., Hofstätter, S., & Hanbury, A. (2020). Effective Crowd-Annotation of Participants, Interventions, and Outcomes in the Text of Clinical Trial Reports. In T. Cohn, Y. He, & Y. Liu (Eds.), Findings of the Association for Computational Linguistics: EMNLP 2020. The Association for Computational Linguistics. https://doi.org/10.18653/v1/2020.findings-emnlp.274
- Learning to Re-Rank with Contextualized Stopwords / Hofstätter, S., Lipani, A., Zlabinger, M., & Hanbury, A. (2020). Learning to Re-Rank with Contextualized Stopwords. In Proceedings of the 29th ACM International Conference on Information & Knowledge Management. CIKM 2020: International Conference on Information & Knowledge Management 2020, Virtual Event, Ireland, EU. https://doi.org/10.1145/3340531.3412079
- DEXA: Supporting Non-Expert Annotators with Dynamic Examples from Experts / Zlabinger, M., Sabou, M., Hofstätter, S., Sertkan, M., & Hanbury, A. (2020). DEXA: Supporting Non-Expert Annotators with Dynamic Examples from Experts. In J. Huang & Y. Chang (Eds.), Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery, New York, NY, United States. https://doi.org/10.1145/3397271.3401334
- Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering / Hofstätter, S., Zlabinger, M., Sertkan, M., Schröder, M., & Hanbury, A. (2020). Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering. In Proceedings of the 29th ACM International Conference on Information & Knowledge Management. CIKM 2020: International Conference on Information & Knowledge Management 2020, Virtual Event, Ireland, EU. Association for Computing Machinery. https://doi.org/10.1145/3340531.3412878
- Interpretable & time-budget-constrained contextualization for re-ranking / Hofstätter, S., Zlabinger, M., & Hanbury, A. (2020). Interpretable & time-budget-constrained contextualization for re-ranking. In 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) (pp. 1–8). IOS Press. http://hdl.handle.net/20.500.12708/55598
2019
- Consumer Health Search on the Web: Study of Web Page Understandability and Its Integration in Ranking Algorithms / Palotti, J., Zuccon, G., & Hanbury, A. (2019). Consumer Health Search on the Web: Study of Web Page Understandability and Its Integration in Ranking Algorithms. Journal of Medical Internet Research, 21(1), 1–28. https://doi.org/10.2196/10986
- Developing a fully automated evidence synthesis tool for identifying, assessing and collating the evidence / Brassey, J., Price, C., Edwards, J., Zlabinger, M., Bampoulidis, A., & Hanbury, A. (2019). Developing a fully automated evidence synthesis tool for identifying, assessing and collating the evidence. BMJ Evidence-Based Medicine, 26(1), 24–27. https://doi.org/10.1136/bmjebm-2018-111126
- A Study of Web Page Understandability for Consumer Health Search / Palotti, J., Zuccon, G., & Hanbury, A. (2019). A Study of Web Page Understandability for Consumer Health Search. Journal of Medical Internet Research, 21(1), e10986. https://doi.org/10.2196/10986
- Multilingual Patent Text Retrieval Evaluation: CLEF–IP / Piroi, F., & Hanbury, A. (2019). Multilingual Patent Text Retrieval Evaluation: CLEF–IP. In N. Ferro & C. Peters (Eds.), Information Retrieval Evaluation in a Changing World (Vol. 41, pp. 365–387). https://doi.org/10.1007/978-3-030-22948-1_15
- Data Market Austria / Data Intelligence Offensive / Hanbury, A. (2019). Data Market Austria / Data Intelligence Offensive. German Ministry of Economics and Energy (Member of the Austrian Delegation), Berlin, Germany, EU. http://hdl.handle.net/20.500.12708/87149
- Search to Support Radiologists: from a research prototype to a product / Hanbury, A. (2019). Search to Support Radiologists: from a research prototype to a product. Search Solutions (BCS IRSG), London, EU. http://hdl.handle.net/20.500.12708/87150
- Supporting Manual Annotation of Chatbot Information / Hanbury, A. (2019). Supporting Manual Annotation of Chatbot Information. Eötvös Loránd University (ELTE), Budapest, Hungary, EU. http://hdl.handle.net/20.500.12708/87148
- AI Strategy in Austria / 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, EU. http://hdl.handle.net/20.500.12708/87147
- Data Market Austria: Anforderungsanalyse und Entwicklungsherausforderungen / Hanbury, A. (2019). Data Market Austria: Anforderungsanalyse und Entwicklungsherausforderungen. Data Market Austria Closing Conference, Wien, Austria. http://hdl.handle.net/20.500.12708/87146
- Searching and Mining Medical Documents / Hanbury, A. (2019). Searching and Mining Medical Documents. First Vienna Symposium Meeting on Machine Learning in Medicine & Biology, Wien, Austria. http://hdl.handle.net/20.500.12708/87145
- Some Biases in Data Science / Hanbury, A. (2019). Some Biases in Data Science. Austrian Computer Science Day, Wien, Austria. http://hdl.handle.net/20.500.12708/87144
- Challenges in developing a search system to support radiologists / Hanbury, A. (2019). Challenges in developing a search system to support radiologists. Advances in Information Retrieval. 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14-18, 2019, Cologne, Germany, EU. http://hdl.handle.net/20.500.12708/87143
- Datengetriebene Innovation zwischen Forschung & Wirtschaft: Kooperative Projekte, Spin-offs, Crowd-Solving / Hanbury, A. (2019). Datengetriebene Innovation zwischen Forschung & Wirtschaft: Kooperative Projekte, Spin-offs, Crowd-Solving. Second Austrian Data Governance Conference, Vienna, Austria. http://hdl.handle.net/20.500.12708/87142
- Alexa, wir müssen reden! / Hanbury, A. (2019). Alexa, wir müssen reden! Panel Diskussion: Alexa, wir müssen reden! International Forum for Business Communication., Wien, Austria. http://hdl.handle.net/20.500.12708/87141
- Proceedings of the 1st Workshop on on Patent Text Mining and Semantic Technologies : PatentSemTech2019 / Andersson, L., Aras, H., Piroi, F. M., & Hanbury, A. (Eds.). (2019). Proceedings of the 1st Workshop on on Patent Text Mining and Semantic Technologies : PatentSemTech2019. https://doi.org/10.34726/pst2019
- Enriching Word Embeddings for Patent Retrieval with Global Context / Hofstätter, S., Rekabsaz, N., Lupu, M., Eickhoff, C., & Hanbury, A. (2019). Enriching Word Embeddings for Patent Retrieval with Global Context. In Lecture Notes in Computer Science (pp. 810–818). Springer, Cham. https://doi.org/10.1007/978-3-030-15712-8_57
- Efficient Answer-Annotation for Frequent Questions / Zlabinger, M., Rekabsaz, N., Zlabinger, S., & Hanbury, A. (2019). Efficient Answer-Annotation for Frequent Questions. In Lecture Notes in Computer Science (pp. 126–137). Springer. https://doi.org/10.1007/978-3-030-28577-7_8
- Let's measure run time! Extending the IR replicability infrastructure to include performance aspects / Hofstätter, S., & Hanbury, A. (2019). Let’s measure run time! Extending the IR replicability infrastructure to include performance aspects. In 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) (pp. 12–16). http://hdl.handle.net/20.500.12708/57413
- On the Effect of Low-Frequency Terms on Neural-IR Models / Hofstätter, S., Rekabsaz, N., Eickhoff, C., & Hanbury, A. (2019). On the Effect of Low-Frequency Terms on Neural-IR Models. In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval. SIGIR ’19: The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, Paris, France, Non-EU. Association for Computing Machinery. https://doi.org/10.1145/3331184.3331344
- EaaS: Evaluation-as-a-Service and Experiences from the VISCERAL Project / Müller, H., & Hanbury, A. (2019). EaaS: Evaluation-as-a-Service and Experiences from the VISCERAL Project. In Information Retrieval Evaluation in a Changing World (pp. 161–173). Springer. https://doi.org/10.1007/978-3-030-22948-1_6
- Detecting MultiWord Terms in Patents the same way as Named Entities / Fink, T., Andersson, L., & Hanbury, A. (2019). Detecting MultiWord Terms in Patents the same way as Named Entities. In Proceedings of the 1st Workshop on on Patent Text Mining and Semantic Technologies / Editors: Linda Andersson, Hidir Aras, Florina Piroi, Allan Hanbury. https://doi.org/10.34726/pst2019.3
2018
- Why rankings of biomedical image analysis competitions should be interpreted with care / Maier-Hein, L., Eisenmann, M., Reinke, A., Onogur, S., Stankovic, M., Scholz, P., Arbel, T., Bogunovic, H., Carass, A., Feldmann, C., F. Frangi, A., Full, P. M., van Ginneken, B., Hanbury, A., Honauer, K., Kozubek, M., Landman, B. A., März, K., & Kopp-Schneider, A. (2018). Why rankings of biomedical image analysis competitions should be interpreted with care. Nature Communications, 9(5217). https://doi.org/10.1038/s41467-018-07619-7
- A systematic approach to normalization in probabilistic models / Lipani, A., Roelleke, T., Lupu, M., & Hanbury, A. (2018). A systematic approach to normalization in probabilistic models. Information Retrieval, 21(6), 565–596. https://doi.org/10.1007/s10791-018-9334-1
- Contextual local primitives for binary patent image retrieval / Bhatti, N., Hanbury, A., & Stottinger, J. (2018). Contextual local primitives for binary patent image retrieval. Multimedia Tools and Applications, 77(7), 9111–9151. https://doi.org/10.1007/s11042-017-4808-5
- Evaluation-as-a-Service for the Computational Sciences: Overview and Outlook / Hopfgartner, F., Hanbury, A., & Müller, H. (2018). Evaluation-as-a-Service for the Computational Sciences: Overview and Outlook. Journal of Data and Information Quality, 10(4), 1–32. https://doi.org/10.1145/3239570
- Word Relatedness from Word Embedding in Information Retrieval / Hanbury, A. (2018). Word Relatedness from Word Embedding in Information Retrieval. Forum for Information Retrieval Evaluation (FIRE), Virtual Conference, International. http://hdl.handle.net/20.500.12708/87159
- Credibility of sources, content, and algorithms / Hanbury, A. (2018). Credibility of sources, content, and algorithms. Fake News and other AI Challenges for the News Media in the 21st Century, panel member for the discussion on “Solving Ethical & Technical Challenges of Fake News,” Wien, Austria. http://hdl.handle.net/20.500.12708/87158
- Data Intelligence und Recht / Hanbury, A. (2018). Data Intelligence und Recht. Working group “Perspektiven der Rechtsetzung” of the Directorate of the Austrian Parliament, Wien, Austria. http://hdl.handle.net/20.500.12708/87157
- Maschinen als Begleiter: Wie digitale Assistenten zum Alltag werden / Hanbury, A. (2018). Maschinen als Begleiter: Wie digitale Assistenten zum Alltag werden. Austrian Press Agency Digital Business Trends event, Wien, Austria. http://hdl.handle.net/20.500.12708/87156
- Lexical and Statistical Semantics in Professional Search / Hanbury, A. (2018). Lexical and Statistical Semantics in Professional Search. Semantics 2018 conference, Wien, Austria. http://hdl.handle.net/20.500.12708/87155
- Sentiment Analysis in Finance / Hanbury, A. (2018). Sentiment Analysis in Finance. VISS 2018 - Vienna International Summer School on Machine Learning Methods and Data Analytics in Risk and Insurance, Wien, Austria. http://hdl.handle.net/20.500.12708/87154
- Word Embedding and Applications / Hanbury, A. (2018). Word Embedding and Applications. U Wien Inter-Faculty Research Centre on Computational Complex Systems Meeting: Drawing Insights from Complex Data, Wien, Austria. http://hdl.handle.net/20.500.12708/87153
- Unstructured Information in Data Science: Word Relatedness from Word Embedding / Hanbury, A. (2018). Unstructured Information in Data Science: Word Relatedness from Word Embedding. Data Science Society Meet-Up, Vienna, Austria. http://hdl.handle.net/20.500.12708/87152
- Word relatedness from Word Embedding in text analysis and information retrieval / Hanbury, A. (2018). Word relatedness from Word Embedding in text analysis and information retrieval. TU Berlin, Berlin, Germany, EU. http://hdl.handle.net/20.500.12708/87151
- A New Framework for Multidimensional Evaluation of Search Engines / Palotti, J., Zuccon, G., & Hanbury, A. (2018). A New Framework for Multidimensional Evaluation of Search Engines. In Proc. 27th ACM International Conference on Information and Knowledge Management (CIKM 2018) (pp. 1699–1702). ACM Digital Library. http://hdl.handle.net/20.500.12708/57730
- Medical Entity Corpus with PICO elements and Sentiment Analysis / Zlabinger, M., Andersson, L., Hanbury, A., Andersson, M., Quasnik, V., & Brassey, J. (2018). Medical Entity Corpus with PICO elements and Sentiment Analysis. In LREC 2018, Eleventh International Conference on Language Resources and Evaluation (pp. 292–296). International Conference on Language Resources and Evaluation. http://hdl.handle.net/20.500.12708/57568
2017
- Toward Optimized Multimodal Concept Indexing / Rekabsaz, N., Bierig, R., Lupu, M., & Hanbury, A. (2017). Toward Optimized Multimodal Concept Indexing. In A. M. Pinto & J. Cardoso (Eds.), Transactions on Computational Collective Intelligence XXVI (Vol. 10190, pp. 144–161). Springer. https://doi.org/10.1007/978-3-319-59268-8_7
- Extracting the Population, Intervention, Comparison and Sentiment from Randomized Controlled Trials. / Zlabinger, M., Andersson, L., Brassey, J., & Hanbury, A. (2017). Extracting the Population, Intervention, Comparison and Sentiment from Randomized Controlled Trials. In A. Ugon, D. Karlsson, G. O. Klein, & A. Moen (Eds.), Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth – Proceedings of MIE2018 (Vol. 247, pp. 146–150). IOS Press. https://doi.org/10.3233/978-1-61499-852-5-146
- The Portability of Three Types of Text Mining Techniques into the Patent Text Genre / Andersson, L., Hanbury, A., & Rauber, A. (2017). The Portability of Three Types of Text Mining Techniques into the Patent Text Genre. In M. Lupu, K. Mayer, N. Kando, & A. Trippe (Eds.), Current Challenges in Patent Information Retrieval (pp. 241–280). Springer. http://hdl.handle.net/20.500.12708/24332
- Message ranking in a factory setting using context and user preference / Taha, A. A., Piroi, F., Hanbury, A., Tropper, T., Mutzl, T., & Shehata, H. (2017). Message ranking in a factory setting using context and user preference. In 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE. https://doi.org/10.1109/etfa.2017.8247708
- Word Embedding Causes Topic Shifting; Exploit Global Context! / Rekabsaz, N., Lupu, M., Hanbury, A., & Zamani, H. (2017). Word Embedding Causes Topic Shifting; Exploit Global Context! In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku , Tokyo, Japan, Non-EU. ACM. https://doi.org/10.1145/3077136.3080733
- Volatility Prediction using Financial Disclosures Sentiments with Word Embedding-based IR Models / Rekabsaz, N., Lupu, M., Baklanov, A., Dür, A., Andersson, L., & Hanbury, A. (2017). Volatility Prediction using Financial Disclosures Sentiments with Word Embedding-based IR Models. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, Vancouver, Canada, Non-EU. Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics. https://doi.org/10.18653/v1/p17-1157
- Visual Pool / Lipani, A., Lupu, M., & Hanbury, A. (2017). Visual Pool. In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM. https://doi.org/10.1145/3077136.3084146
- Fixed budget pooling strategies based on fusion methods / Lipani, A., Lupu, M., Palotti, J., Zuccon, G., & Hanbury, A. (2017). Fixed budget pooling strategies based on fusion methods. In Proceedings of the Symposium on Applied Computing. ACM. https://doi.org/10.1145/3019612.3019692
- Fixed-Cost Pooling Strategies Based on IR Evaluation Measures / Lipani, A., Palotti, J., Lupu, M., Piroi, F., Zuccon, G., & Hanbury, A. (2017). Fixed-Cost Pooling Strategies Based on IR Evaluation Measures. In Lecture Notes in Computer Science (pp. 357–368). Springer Nature Switzerland AG 2021. https://doi.org/10.1007/978-3-319-56608-5_28
- Finding duplicate images in biology papers / Zlabinger, M., & Hanbury, A. (2017). Finding duplicate images in biology papers. In Proceedings of the Symposium on Applied Computing. Symposium on Applied Computing (SAC), Villa Olmo, Como, Italy, Austria. SAC ’17 Proceedings of the Symposium on Applied Computing. https://doi.org/10.1145/3019612.3019875
- Exploration of a Threshold for Similarity Based on Uncertainty in Word Embedding / Rekabsaz, N., Lupu, M., Hanbury, A., & Zuccon, G. (2017). Exploration of a Threshold for Similarity Based on Uncertainty in Word Embedding. In Lecture Notes in Computer Science (pp. 396–409). Springer, Cham. https://doi.org/10.1007/978-3-319-56608-5_31
- Does Online Evaluation Correspond to Offline Evaluation in Query Auto Completion? / Bampoulidis, A., Palotti, J., Lupu, M., Brassey, J., & Hanbury, A. (2017). Does Online Evaluation Correspond to Offline Evaluation in Query Auto Completion? In Advances in Information Retrieval (pp. 713–719). Springer. http://hdl.handle.net/20.500.12708/56925
- Automatic query expansion for patent passage retrieval using paradigmatic and syntagmatic information / Andersson, L., Rekabsaz, N., & Hanbury, A. (2017). Automatic query expansion for patent passage retrieval using paradigmatic and syntagmatic information. In The first WiNLP Workshop co-located with with the Annual Meeting of the Association for Computational Linguistics (ACL 2017), Vancouver (p. 4). http://hdl.handle.net/20.500.12708/57020
- Cloud-Based Benchmarking of Medical Image Analysis / Hanbury, A., Müller, H., & Langs, G. (Eds.). (2017). Cloud-Based Benchmarking of Medical Image Analysis. Springer International Publishing. http://hdl.handle.net/20.500.12708/24397
2016
- Cloud-based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks / Jimenez del Toro, O. A., Müller, H., Krenn, M., Grünberg, K., Taha, A. A., Winterstein, M., & Hanbury, A. (2016). Cloud-based Evaluation of Anatomical Structure Segmentation and Landmark Detection Algorithms: VISCERAL Anatomy Benchmarks. IEEE Transactions on Medical Imaging, 35(11), 2459–2475. https://doi.org/10.1109/tmi.2016.2578680
- Making sense of big data in health research: Towards a European Union action plan / Auffray, C., Balling, R., Barroso, I., Bencze, L., Benson, M., Bergeron, J., & Hanbury, A. (2016). Making sense of big data in health research: Towards a European Union action plan. Genome Medicine, 8(71). https://doi.org/10.1186/s13073-016-0323-y
- Uncertainty in Neural Network Word Embedding Exploration of Threshold for Similarity / Rekabsaz, N., Lupu, M., & Hanbury, A. (2016). Uncertainty in Neural Network Word Embedding Exploration of Threshold for Similarity. Neu-IR: The SIGIR 2016 Workshop on Neural Information Retrieval, Pisa, EU. http://hdl.handle.net/20.500.12708/86458
- Interactive exploration of healthcare queries / Bampoulidis, A., Palotti, J., Brassey, J., Lupu, M., Metallidis, S., & Hanbury, A. (2016). Interactive exploration of healthcare queries. In 2016 14th International Workshop on Content-Based Multimedia Indexing (CBMI). 14th International Workshop on Content-based Multimedia Indexing, Bukarest, Rumänien, EU. IEEE. https://doi.org/10.1109/cbmi.2016.7500275
- Toward Incorporation of Relevant Documents in word2vec / Rekabsaz, N., Lupu, M., Hanbury, A., & Bhaskar, M. (2016). Toward Incorporation of Relevant Documents in word2vec. In Neu-IR Workshop at the ACM Conference on Research and Development in Information Retrieval. Neu-IR Workshop, Pisa, EU. http://hdl.handle.net/20.500.12708/57150
- Machine Learning Framework incorporating Expert Knowledge in Tissue Image Annotation / Kromp, F., Ambros, P., Ambros, I., Weiss, T., & Hanbury, A. (2016). Machine Learning Framework incorporating Expert Knowledge in Tissue Image Annotation. In Proceedings of the ICPR 2016 (p. 5). IEEE. http://hdl.handle.net/20.500.12708/56894
- Assessors Agreement: A Case Study Across Assessor Type, Payment Levels, Query Variations and Relevance Dimensions / Palotti, J., Zuccon, G., Bernhardt, J., Hanbury, A., & Goeuriot, L. (2016). Assessors Agreement: A Case Study Across Assessor Type, Payment Levels, Query Variations and Relevance Dimensions. In Lecture Notes in Computer Science (pp. 40–53). Springer. https://doi.org/10.1007/978-3-319-44564-9_4
- When is the Time Ripe for Natural Language Processing for Patent Passage Retrieval? / Andersson, L., Lupu, M., Palotti, J., Hanbury, A., & Rauber, A. (2016). When is the Time Ripe for Natural Language Processing for Patent Passage Retrieval? In Proceedings of the 25th ACM International on Conference on Information and Knowledge Management. Acm Dl. https://doi.org/10.1145/2983323.2983858
- Generalizing Translation Models in the Probabilistic Relevance Framework / Rekabsaz, N., Lupu, M., Hanbury, A., & Zuccon, G. (2016). Generalizing Translation Models in the Probabilistic Relevance Framework. In Proceedings of the 25th ACM International on Conference on Information and Knowledge Management. 25th ACM International on Conference on Information and Knowledge Management (CIKM), Indianapolis, Indiana, USA, Non-EU. ACM. https://doi.org/10.1145/2983323.2983833
- The Solitude of Relevant Documents in the Pool / Lipani, A., Lupu, M., Kanoulas, E., & Hanbury, A. (2016). The Solitude of Relevant Documents in the Pool. In Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval (pp. 1989–1992). ACM. http://hdl.handle.net/20.500.12708/56640
- The Impact of Fixed-Cost Pooling Strategies on Test Collection Bias / Lipani, A., Zuccon, G., Lupu, M., Koopman, B., & Hanbury, A. (2016). The Impact of Fixed-Cost Pooling Strategies on Test Collection Bias. In Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval (pp. 105–108). ACM. http://hdl.handle.net/20.500.12708/56639
- The Curious Incidence of Bias Corrections in the Pool / Lipani, A., Lupu, M., & Hanbury, A. (2016). The Curious Incidence of Bias Corrections in the Pool. In Lecture Notes in Computer Science (pp. 267–279). Springer. https://doi.org/10.1007/978-3-319-30671-1_20
- Standard Test Collection for English-Persian Cross-Lingual Word Sense Disambiguation / Rekabsaz, N., Sabetghadam, S., Andersson, L., Lupu, M., & Hanbury, A. (2016). Standard Test Collection for English-Persian Cross-Lingual Word Sense Disambiguation. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016). Tenth International Conference on Language Resources and Evaluation (LREC 2016), Portoroz, Slovenia, EU. European Language Resources Association (ELRA). http://hdl.handle.net/20.500.12708/56635
- Ranking Health Web Pages with Relevance and Understandability / Palotti, J., Goeuriot, L., Zuccon, G., & Hanbury, A. (2016). Ranking Health Web Pages with Relevance and Understandability. In Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval. ACM, Austria. ACM. https://doi.org/10.1145/2911451.2914741
- Query Variations and their Effect on Comparing Information Retrieval Systems / Zuccon, G., Palotti, J., & Hanbury, A. (2016). Query Variations and their Effect on Comparing Information Retrieval Systems. In Proceedings of the 25th ACM International on Conference on Information and Knowledge Management. ACM. https://doi.org/10.1145/2983323.2983723
2015
- A Researcher's View on (Big) Data Analytics in Austria Results from an Online Survey / Bierig, R., Hanbury, A., Piroi, F., Haas, M., Berger, H., Lupu, M., & Dittenbach, M. (2015). A Researcher’s View on (Big) Data Analytics in Austria Results from an Online Survey. In M. Helfert, A. Holzinger, O. Belo, & C. Francalanci (Eds.), Communications in Computer and Information Science (pp. 45–61). Springer International Publishing. https://doi.org/10.1007/978-3-319-25936-9_4
- An Efficient Algorithm for Calculating the Exact Hausdorff Distance / Taha, A. A., & Hanbury, A. (2015). An Efficient Algorithm for Calculating the Exact Hausdorff Distance. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37(11), 2153–2163. https://doi.org/10.1109/tpami.2015.2408351
- Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool / Taha, A. A., & Hanbury, A. (2015). Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool. BMC Medical Imaging. https://doi.org/10.1186/s12880-015-0068-x
- Toward Optimized Multimodal Concept Indexing / Rekabsaz, N., Bierig, R., Lupu, M., & Hanbury, A. (2015). Toward Optimized Multimodal Concept Indexing. In J. Cardoso, F. Guerra, G.-J. Houben, A. M. Pinto, & Y. Velegrakis (Eds.), Semantic Keyword-based Search on Structured Data Sources: First COST Action IC1302 International KEYSTONE Conference, IKC 2015, Coimbra, Portugal, September 8-9, 2015. Revised Selected Papers (pp. 141–152). Springer. https://doi.org/10.1007/978-3-319-27932-9_13
- DASyR(IR) - Document Analysis System for Systematic Reviews (in Information Retrieval) / Piroi, F., Lipani, A., Lupu, M., & Hanbury, A. (2015). DASyR(IR) - Document Analysis System for Systematic Reviews (in Information Retrieval). In 13th International Conference on Document Analysis and Recognition (ICDAR), 2015 (pp. 591–595). IEEE Xplore. http://hdl.handle.net/20.500.12708/56327
- On the use of statistical semantics for metadata-based social image retrieval / Rekabsaz, N., Bierig, R., Ionescu, B., Hanbury, A., & Lupu, M. (2015). On the use of statistical semantics for metadata-based social image retrieval. In 2015 13th International Workshop on Content-Based Multimedia Indexing (CBMI). 13th International Workshop on Content-Based Multimedia Indexing (CBMI 2015), Prague, Czech Republic, EU. IEEE. https://doi.org/10.1109/cbmi.2015.7153634
- Detecting Risks in the Banking System by Sentiment Analysis / Nopp, C., & Hanbury, A. (2015). Detecting Risks in the Banking System by Sentiment Analysis. In Proceedings of the EMNLP 2015 (pp. 591–600). The Association for Computational Linguistics. http://hdl.handle.net/20.500.12708/56271
- Splitting Water / Lipani, A., Lupu, M., & Hanbury, A. (2015). Splitting Water. In Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM. https://doi.org/10.1145/2766462.2767749
- An Initial Analytical Exploration of Retrievability / Lipani, A., Lupu, M., Aizawa, A., & Hanbury, A. (2015). An Initial Analytical Exploration of Retrievability. In Proceedings of the 2015 International Conference on The Theory of Information Retrieval. ACM, Austria. ACM. https://doi.org/10.1145/2808194.2809495
- Verboseness Fission for BM25 Document Length Normalization / Lipani, A., Lupu, M., Hanbury, A., & Aizawa, A. (2015). Verboseness Fission for BM25 Document Length Normalization. In Proceedings of the 2015 International Conference on The Theory of Information Retrieval. ACM. https://doi.org/10.1145/2808194.2809486
- Using Health Statistics to Improve Medical and Health Search / Sierek, T., & Hanbury, A. (2015). Using Health Statistics to Improve Medical and Health Search. In Experimental IR Meets Multilinguality, Multimodality, and Interaction (pp. 287–292). Springer. http://hdl.handle.net/20.500.12708/55929
2014
- Systematic skin segmentation: merging spatial and non-spatial data / Khan, R., Hanbury, A., Sablatnig, R., Stöttinger, J., Khan, F. A., & Khan, F. A. (2014). Systematic skin segmentation: merging spatial and non-spatial data. Multimedia Tools and Applications, 69(3), 717–741. https://doi.org/10.1007/s11042-012-1124-y
- Visual Methods for Analyzing Probabilistic Classification Data / Alsallakh, B., Hanbury, A., Hauser, H., Miksch, S., & Rauber, A. (2014). Visual Methods for Analyzing Probabilistic Classification Data. IEEE Transactions on Visualization and Computer Graphics, 20(12), 1703–1712. https://doi.org/10.1109/tvcg.2014.2346660
- A Glimpse into the State and Future of (Big) Data Analytics in Austria / Bierig, R., Hanbury, A., Haas, M., Piroi, F., Berger, H., Lupu, M., & Dittenbach, M. (2014). A Glimpse into the State and Future of (Big) Data Analytics in Austria. In M. Helfert, A. Holzinger, O. Belo, & C. Francalanci (Eds.), Proceedings of 3rd International Conference on Data Management Technologies and Applications (pp. 178–188). ScitePress. https://doi.org/10.5220/0004999101780188
- TUW @ Retrieving Diverse Social Images Task 2014 / Palotti, J., Rekabsaz, N., Lupu, M., & Hanbury, A. (2014). TUW @ Retrieving Diverse Social Images Task 2014. In Working Notes Proceedings of the MediaEval 2014 Workshop. MediaEval Benchmarking Initiative for Multimedia Evaluation, Barcelona, ES, EU. CEUR-WS. http://hdl.handle.net/20.500.12708/55380
- Insight to Hyponymy Lexical Relation Extraction in the Patent Genre Versus Other Text Genres / Andersson, L., Lupu, M., Palotti, J., Piroi, F., Hanbury, A., & Rauber, A. (2014). Insight to Hyponymy Lexical Relation Extraction in the Patent Genre Versus Other Text Genres. In Patent Mining and Its Applications. First International Workshop on Patent Mining and Its Applications (IPaMin 2014), Hildesheim, Germany, EU. CEUR Workshop Proceedings. http://hdl.handle.net/20.500.12708/55377
- A formal method for selecting evaluation metrics for image segmentation / Taha, A. A., Hanbury, A., & del Toro, O. A. J. (2014). A formal method for selecting evaluation metrics for image segmentation. In 2014 IEEE International Conference on Image Processing (ICIP). IEEE ICIP Proceedings, Austria. IEEE. https://doi.org/10.1109/icip.2014.7025187
- User intent behind medical queries / Palotti, J. R. M., Stefanov, V., & Hanbury, A. (2014). User intent behind medical queries. In Proceedings of the 5th Information Interaction in Context Symposium. Information Interaction in Context conference, Regensburg, EU. ACM. https://doi.org/10.1145/2637002.2637043
- A System Framework for Concept- and Credibility-Based Multimedia Retrieval / Bierig, R., Serban, C., Siriteanu, A., Lupu, M., & Hanbury, A. (2014). A System Framework for Concept- and Credibility-Based Multimedia Retrieval. In Proceedings of International Conference on Multimedia Retrieval. International Conference on Multimedia Retrieval (ICMR 2014), Glasgow, EU. ACM Press. https://doi.org/10.1145/2578726.2582624
- Extracting Nanopublications from IR Papers / Lipani, A., Piroi, F., Andersson, L., & Hanbury, A. (2014). Extracting Nanopublications from IR Papers. In Lecture Notes in Computer Science (pp. 53–62). Springer. https://doi.org/10.1007/978-3-319-12979-2_5
- An Information Retrieval Ontology for Information Retrieval Nanopublications / Lipani, A., Piroi, F., Andersson, L., & Hanbury, A. (2014). An Information Retrieval Ontology for Information Retrieval Nanopublications. In Lecture Notes in Computer Science (pp. 44–49). Springer Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-319-11382-1_5
- Guest editorial: Special issue on information retrieval in the intellectual property domain / Hanbury, A., Lupu, M., Kando, N., Diallo, B., & Adams, S. (2014). Guest editorial: Special issue on information retrieval in the intellectual property domain. In Information Retrieval (pp. 407–411). Springer. https://doi.org/10.1007/s10791-014-9245-8
- Test Data and Results of the Automatic Metric Selection Method / Taha Abdel, A., Hanbury, A., & Jimenez del Toro, O. A. (2014). Test Data and Results of the Automatic Metric Selection Method. http://hdl.handle.net/20.500.12708/38055
- Domain Specific Search / Lupu, M., Hanbury, A., & Salampasis, M. (2014). Domain Specific Search. In G. Paltoglou, F. Loizides, & P. Hansen (Eds.), Professional Search in the Modern World (pp. 96–117). Springer LNCS. https://doi.org/10.1007/978-3-319-12511-4_6
- Information Access Evaluation. Multilinguality, Multimodality, and Interaction / Information Access Evaluation. Multilinguality, Multimodality, and Interaction. (2014). In E. Kanoulas, M. Lupu, P. Clough, M. Sanderson, M. Hall, A. Hanbury, & E. Toms (Eds.), Lecture Notes in Computer Science. Springer. https://doi.org/10.1007/978-3-319-11382-1
2013
- Exploring patent passage retrieval using nouns phrases / Andersson, L., Mahdabi, P., Hanbury, A., & Rauber, A. (2013). Exploring patent passage retrieval using nouns phrases. Proceeding of the 35th European conference on Advances in Information Retrieval (ECIR’13), Berlin, Heidelberg,, EU. http://hdl.handle.net/20.500.12708/86543
- Domain Adaptation of General Natural Language Processing Tools for a Patent Claim Visualization System / Andersson, L., Lupu, M., & Hanbury, A. (2013). Domain Adaptation of General Natural Language Processing Tools for a Patent Claim Visualization System. In Proceedings of Multidisciplinary Information Retrieval, Berlin Heidelberg, EU. http://hdl.handle.net/20.500.12708/86542
- Evaluating Flowchart Recognition for Patent Retrieval / Lupu, M., Piroi, F., & Hanbury, A. (2013). Evaluating Flowchart Recognition for Patent Retrieval. In The Fifth International Workshop on Evaluating Information Access. The Fifth International Workshop on Evaluating Information Access, Tokyo, Japan, Non-EU. http://hdl.handle.net/20.500.12708/54624
- Toward a Model of Domain-Specific Search / Hanbury, A., & Lupu, M. (2013). Toward a Model of Domain-Specific Search. In Open Research Areas In Information Retrieval. Open Research Areas In Information Retrieval, Lisbon, Portugal, EU. http://hdl.handle.net/20.500.12708/54625
- Integrating IR Technologies for Professional Search / Salampasis, M., Fuhr, N., Hanbury, A., Lupu, M., Larsen, B., & Strindberg, H. (2013). Integrating IR Technologies for Professional Search. In Lecture Notes in Computer Science (pp. 882–885). Springer LNCS. https://doi.org/10.1007/978-3-642-36973-5_108
- Overview of CLEF-IP 2013 Lab - Information Retrieval in the Patent Domain. / Piroi, F., Lupu, M., & Hanbury, A. (2013). Overview of CLEF-IP 2013 Lab - Information Retrieval in the Patent Domain. In Lecture Notes in Computer Science (pp. 232–249). Springer. https://doi.org/10.1007/978-3-642-40802-1_25 / Project: PROMISE
- A Formative Evaluation of a Comprehensive Search System for Medical Professionals / Stefanov, V., Sachs, A., Kritz, M., Samwald, M., Gschwandtner, M., & Hanbury, A. (2013). A Formative Evaluation of a Comprehensive Search System for Medical Professionals. In P. Forner, H. Müller, R. Paredes, P. Rosso, & B. Stein (Eds.), Lecture Notes in Computer Science (pp. 81–92). Springer Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-642-40802-1_10
- Patent Retrieval / Patent Retrieval. (2013). In M. Lupu & A. Hanbury (Eds.), Foundations and Trends® in Information Retrieval (p. 97). Now Publishers. https://doi.org/10.1561/1500000027
2012
- Sparse Color Interest Points for Image Retrieval and Object Categorization / Stöttinger, J., Hanbury, A., Sebe, N., & Gevers, T. (2012). Sparse Color Interest Points for Image Retrieval and Object Categorization. IEEE Transactions on Image Processing, 21(5), 2681–2692. https://doi.org/10.1109/tip.2012.2186143
- Color based skin classification / Khan, R., Hanbury, A., Stöttinger, J., & Bais, A. (2012). Color based skin classification. Pattern Recognition Letters, 33(2), 157–163. https://doi.org/10.1016/j.patrec.2011.09.032
- Systematic skin segmentation: merging spatial and non-spatial data / Khan, R., Hanbury, A., Sablatnig, R., Stöttinger, J., Khan, F. A., & Khan, F. A. (2012). Systematic skin segmentation: merging spatial and non-spatial data. Multimedia Tools and Applications, 69(3), 717–741. https://doi.org/10.1007/s11042-012-1124-y
- PROMISE retreat report prospects and opportunities for information access evaluation / Ferro, N., Berendsen, R., Hanbury, A., Lupu, M., Petras, V., de Rijke, M., & Silvello, G. (2012). PROMISE retreat report prospects and opportunities for information access evaluation. ACM SIGIR Forum, 46(2), 60–84. https://doi.org/10.1145/2422256.2422265
- Report on the CLEF-IP 2012 Experiments: Exploring Passage Retrieval with the PIPExtractor / Andersson, L., Mahdabi, P., Rauber, A., & Hanbury, A. (2012). Report on the CLEF-IP 2012 Experiments: Exploring Passage Retrieval with the PIPExtractor. In Proceeding of the of the Conference and Labs of the Evaluation Forum (CLEF2012), Pisa, EU. http://hdl.handle.net/20.500.12708/86544
- Patent images - a glass-encased tool / Lupu, M., Mörzinger, R., Schleser, T., Schuster, R., Piroi, F., & Hanbury, A. (2012). Patent images - a glass-encased tool. In Proceedings of the 12th International Conference on Knowledge Management and Knowledge Technologies - i-KNOW ’12. ACM. https://doi.org/10.1145/2362456.2362477
- Effects of Language and Topic Size in Patent IR: An Empirical Study / Piroi, F., Lupu, M., & Hanbury, A. (2012). Effects of Language and Topic Size in Patent IR: An Empirical Study. In Information Access Evaluation. Multilinguality, Multimodality, and Visual Analytics (pp. 54–66). Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-642-33247-0_7 / Projects: IMPEx, PROMISE
- Bringing the Algorithms to the Data: Cloud-based Benchmarking for Medical Image Analysis / Hanbury, A., Müller, H., Langs, G., Weber, M.-A., Menze, B., & Salas, T. (2012). Bringing the Algorithms to the Data: Cloud-based Benchmarking for Medical Image Analysis. In Information Access Evaluation. Multilinguality, Multimodality, and Visual Analytics (pp. 24–29). http://hdl.handle.net/20.500.12708/54442
- Robust camera self-calibration from monocular images of Manhattan worlds / Wildenauer, H., & Hanbury, A. (2012). Robust camera self-calibration from monocular images of Manhattan worlds. In 2012 IEEE Conference on Computer Vision and Pattern Recognition. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Providence, RI, USA, Non-EU. https://doi.org/10.1109/cvpr.2012.6248008
2011
- Harnessing the Scientific Data Produced by the Experimental Evaluation Search Engines and Information Access Systems / Ferro, N., Hanbury, A., Müller, H., & Santucci, G. (2011). Harnessing the Scientific Data Produced by the Experimental Evaluation Search Engines and Information Access Systems. Procedia Computer Science, 4, 740–749. https://doi.org/10.1016/j.procs.2011.04.078 / Project: PROMISE
- An open, trustworthy and multilingual search engine for medical practitioners / Samwald, M., Kritz, M., Gschwandtner, M., Stefanov, V., & Hanbury, A. (2011). An open, trustworthy and multilingual search engine for medical practitioners. 23rd International Conference of the European Federation for Medical Informatics (MIE2011), Oslo, Norwegen, Non-EU. http://hdl.handle.net/20.500.12708/85232 / Project: KHRESMOI
- Report on the CLEF-IP 2011 Experiments: Exploring Patent Summarisation / Mahdabi, P., Andersson, L., Hanbury, A., & Crestani, F. (2011). Report on the CLEF-IP 2011 Experiments: Exploring Patent Summarisation. In Proceeding of the of the Conference and Labs of the Evaluation Forum (CLEF2011), Pisa, EU. http://hdl.handle.net/20.500.12708/86545
- Towards an open, trustworthy and multilingual search engine for medical practitioners: News from the European Khresmoi project / Samwald, M., Kritz, M., Gschwandtner, M., Stefanov, V., & Hanbury, A. (2011). Towards an open, trustworthy and multilingual search engine for medical practitioners: News from the European Khresmoi project. In G. Schreier, D. Hayn, & E. Ammenwerth (Eds.), eHealth2011: Health Informatics meets eHealth - von der Wissenschaft zur Anwendung und zurück Grenzen überwinden - Continuity of Care. OCG. http://hdl.handle.net/20.500.12708/54575
- Affective Computing for Wearable Diary and Lifelogging Systems: An Overview / Machajdik, J., Hanbury, A., Garz, A., & Sablatnig, R. (2011). Affective Computing for Wearable Diary and Lifelogging Systems: An Overview. In Machine Vision - Research for High Quality Processes and Products - 35th Workshop of the Austrian Association for Pattern Recognition. 35th Workshop of the Austrian Association for Pattern Recognition, Graz, Austria. http://hdl.handle.net/20.500.12708/54003
- Providing feedback on emotional experiences and decision making / Machajdik, J., Stöttinger, J., Danelova, E., Pongratz, M., Kavicky, L., Valenti, R., & Hanbury, A. (2011). Providing feedback on emotional experiences and decision making. In IEEE Africon ’11. AFRICON 2011, Livingstone, Sambia, Non-EU. IEEE. https://doi.org/10.1109/afrcon.2011.6072130
- Local Primitive Histograms for Patent Binary Image Retrieval / Bhatti, N., & Hanbury, A. (2011). Local Primitive Histograms for Patent Binary Image Retrieval. In 9th IAPR International Workshop on Graphics RECognition (GREC). 9th IAPR International Workshop on Graphics RECognition (GREC), Seoul, Südkorea, Non-EU. http://hdl.handle.net/20.500.12708/53899
- Detection and Classification of Local Primitives in Line Drawings / Bhatti, N., & Hanbury, A. (2011). Detection and Classification of Local Primitives in Line Drawings. In Machine Vision - Research for High Quality Processes and Products - 35th Workshop of the Austrian Association for Pattern Recognition. 35th Workshop of the Austrian Association for Pattern Recognition, Graz, Austria. http://hdl.handle.net/20.500.12708/53896
- Granulometry based Detection of Junction and End Points in Patent Drawings / Bhatti, N., & Hanbury, A. (2011). Granulometry based Detection of Junction and End Points in Patent Drawings. In Proceedings of the 7th International Symposium on Image and Signal Processing and Analysis (ISPA 2011) (pp. 307–312). IEEE. http://hdl.handle.net/20.500.12708/53879
- Morphology Based Spatial Relationships between Local Primitives in Line Drawings / Bhatti, N. A., & Hanbury, A. (2011). Morphology Based Spatial Relationships between Local Primitives in Line Drawings. In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications (pp. 165–172). Lecture Notes on Computer Science. https://doi.org/10.1007/978-3-642-25085-9_19
- Classifying Patent Images / Mörzinger, R., Horti, A., Thallinger, G., Bhatti, N., & Hanbury, A. (2011). Classifying Patent Images. In CLEF (Notebook Papers/Labs/Workshop). Conference on Multilingual and Multimodal Information Access Evaluation (CLEF 2011), Amsterdam, Niederlande, EU. http://hdl.handle.net/20.500.12708/53721
- Systematic Evaluation of Spatio-Temporal Features on Comparative Video Challenges / Stöttinger, J., Goras, B. T., Pönitz, T., Sebe, N., Hanbury, A., & Gevers, T. (2011). Systematic Evaluation of Spatio-Temporal Features on Comparative Video Challenges. In R. Koch & F. Huang (Eds.), Computer Vision – ACCV 2010 Workshops (pp. 349–358). Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-642-22822-3_35
- 4th international workshop on patent information retrieval (PaIR'11) / Lupu, M., Hanbury, A., & Rauber, A. (2011). 4th international workshop on patent information retrieval (PaIR’11). In Proceedings of the 20th ACM international conference on Information and knowledge management - CIKM ’11. ACM. https://doi.org/10.1145/2063576.2064044 / Project: IMPEx
- Patent image retrieval / Hanbury, A., Bhatti, N., Lupu, M., & Mörzinger, R. (2011). Patent image retrieval. In Proceedings of the 4th workshop on Patent information retrieval - PaIR ’11. ACM. https://doi.org/10.1145/2064975.2064979 / Project: IMPEx
2010
- Affective Image Classification / Machajdik, J., & Hanbury, A. (2010). Affective Image Classification. Computer Vision Winter Workshop 2010, Nove Hrady, EU. http://hdl.handle.net/20.500.12708/85619
- Universal Seed Skin Segmentation / Khan, R., Hanbury, A., & Stöttinger, J. (2010). Universal Seed Skin Segmentation. In G. Bebis, R. Boyle, B. Parvin, D. Koracin, R. Chung, R. Hammound, M. Hussain, T. Kar-Han, R. Crawfis, D. Thalmann, D. Kao, & L. Avila (Eds.), Advances in Visual Computing (pp. 75–84). Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-642-17274-8_8
- Augmentation of Skin Segmentation / Khan, R., Hanbury, A., & Stöttinger, J. (2010). Augmentation of Skin Segmentation. In H. Arabnia, L. Deligiannidis, G. Schaefer, & A. Solo (Eds.), Proceedings of the 2010 International Conference on Image Processing, Computer Vision, & Pattern Recognition, IPCV 2010, July 12-15, 2010, Las Vegas, Nevada, USA, 2 Volumes (pp. 473–479). CSREA Press. http://hdl.handle.net/20.500.12708/53501
- Skin detection: A random forest approach / Khan, R., Hanbury, A., & Stoettinger, J. (2010). Skin detection: A random forest approach. In 2010 IEEE International Conference on Image Processing. International Conference on Image Processing 2010, Hong Kong, Non-EU. IEEE. https://doi.org/10.1109/icip.2010.5651638
- Weighted Skin Color Segmentation and Detection Using Graph Cuts / Khan, R., Hanbury, A., & Stöttinger, J. (2010). Weighted Skin Color Segmentation and Detection Using Graph Cuts. In L. Spaček & V. Franc (Eds.), Proceedings of the Computer Vision Winter Workshop 2010 (pp. 107–114). Czech Society for Cybernetics and Informatics. http://hdl.handle.net/20.500.12708/53489
- Co-occurrence Bag of Words for Object Recognition / Bhatti, N., & Hanbury, A. (2010). Co-occurrence Bag of Words for Object Recognition. In L. Spaček & V. Franc (Eds.), Proceedings of the Computer Vision Winter Workshop 2010 (pp. 21–28). Czech Society for Cybernetics and Informatics. http://hdl.handle.net/20.500.12708/53488
- Behavior and properties of spatio-temporal local features under visual transformations / Stöttinger, J., Goras, B. T., Sebe, N., & Hanbury, A. (2010). Behavior and properties of spatio-temporal local features under visual transformations. In Proceedings of the international conference on Multimedia - MM ’10. ACM Multimedia 2010 International Conference, Florenz, Italien, EU. Association for Computing Machinery (ACM). https://doi.org/10.1145/1873951.1874174
- FeEval A Dataset for Evaluation of Spatio-temporal Local Features / Stöttinger, J., Zambanini, S., Khan, R., & Hanbury, A. (2010). FeEval A Dataset for Evaluation of Spatio-temporal Local Features. In M. Cetin, K. Boyer, & S.-W. Lee (Eds.), 2010 20th International Conference on Pattern Recognition. IEEE. https://doi.org/10.1109/icpr.2010.128
- Efficient and Distinct Large Scale Bags of Words / Pönitz, T., Stöttinger, J., Donner, R., & Hanbury, A. (2010). Efficient and Distinct Large Scale Bags of Words. In P. Blauensteiner, M. Lettner, & J. Stöttinger (Eds.), Computer Vision in a Global Society - 34th Annual Workshop of the Austrian Association for Pattern Recognition (AAPR) and the WG Visual Computing of the Austrian Computer Society (pp. 139–146). Österreichische Computer Gesellschaft. http://hdl.handle.net/20.500.12708/53480
- Affective image classification using features inspired by psychology and art theory / Machajdik, J., & Hanbury, A. (2010). Affective image classification using features inspired by psychology and art theory. In Proceedings of the international conference on Multimedia - MM ’10. ACM Multimedia 2010 International Conference, Florenz, Italien, EU. Association for Computing Machinery (ACM). https://doi.org/10.1145/1873951.1873965
2009
- Morphological segmentation on learned boundaries / Hanbury, A., & Marcotegui, B. (2009). Morphological segmentation on learned boundaries. Image and Vision Computing, 27(4), 480–488. http://hdl.handle.net/20.500.12708/166247
- Skin Paths for Contextual Flagging Adult Videos / Stöttinger, J., Hanbury, A., Liensberger, C., & Khan, R. (2009). Skin Paths for Contextual Flagging Adult Videos. In Advances in Visual Computing (pp. 303–314). Springer. http://hdl.handle.net/20.500.12708/52945
- Translating Journalists' Requirements into Features for Image Search / Stöttinger, J., Banova, J., Ponitz, T., Sebe, N., & Hanbury, A. (2009). Translating Journalists’ Requirements into Features for Image Search. In 2009 15th International Conference on Virtual Systems and Multimedia. 15th International Conference on Virtual Systems and Multimedia ({VSMM} 2009), Wien, Austria. IEEE. https://doi.org/10.1109/vsmm.2009.28
- Lonely but Attractive: Sparse Color Salient Points for Object Retrieval and Categorization / Stöttinger, J., Hanbury, A., Gevers, T., & Sebe, N. (2009). Lonely but Attractive: Sparse Color Salient Points for Object Retrieval and Categorization. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Workshop on Feature Detectors and Descriptors: The State Of The Art and Beyond (pp. 1–8). http://hdl.handle.net/20.500.12708/52943
2008
- A survey of methods for image annotation / Hanbury, A. (2008). A survey of methods for image annotation. Journal of Visual Languages and Computing, 19, 617–627. http://hdl.handle.net/20.500.12708/170818
- Constructing cylindrical coordinate colour spaces / Hanbury, A. (2008). Constructing cylindrical coordinate colour spaces. Pattern Recognition Letters, 29, 494–500. http://hdl.handle.net/20.500.12708/170817
- On Segmentation Evaluation Metrics and Region Counts / Hanbury, A., & Stöttinger, J. (2008). On Segmentation Evaluation Metrics and Region Counts. In Proceedings of the the 19th International Conference on Image Processing (ICPR09). The 19th International Conference on Image Processing (ICPR08), Tampa, Florida, Non-EU. IEEE Computer Society. http://hdl.handle.net/20.500.12708/52629
- Evaluation of Gradient Vector Flow for Interest Point Detection / Stöttinger, J., Donner, R., Szumilas, L., & Hanbury, A. (2008). Evaluation of Gradient Vector Flow for Interest Point Detection. In Advances in Visual Computing, Part I (pp. 338–348). Springer, LNCS. http://hdl.handle.net/20.500.12708/52626
- How Do Superpixels Affect Image Segmentation? / Hanbury, A. (2008). How Do Superpixels Affect Image Segmentation? In Progress in Pattern Recognition, Image Anlysis and Applications (pp. 178–186). Springer. http://hdl.handle.net/20.500.12708/52472
- Overview of the ImageCLEFphoto 2007 Photographic Retrieval Task / Grubinger, M., Clough, P., Hanbury, A., & Müller, H. (2008). Overview of the ImageCLEFphoto 2007 Photographic Retrieval Task. In Advances in Multilingual and Multimodal Information Retrieval (pp. 433–444). Springer. http://hdl.handle.net/20.500.12708/52471
- Overview of the ImageCLEF 2007 Object Retrieval Task / Deselaers, T., Hanbury, A., Viitaniemi, V., Benczur, A., Brendel, M., Daroczy, B., Escalante Balderas, H. J., Gevers, T., Hernandez Gracidas, C. A., Laaksonen, J., Li, M., Marın Castro, H. M., Ney, H., Rui, X., Sebe, N., & Stöttinger, J. (2008). Overview of the ImageCLEF 2007 Object Retrieval Task. In Advances in Multilingual and Multimodal Information Retrieval (pp. 445–471). Springer. http://hdl.handle.net/20.500.12708/52470
2007
- Improved motion segmentation based on shadow detection / Kampel, M., Wildenauer, H., Blauensteiner, P., & Hanbury, A. (2007). Improved motion segmentation based on shadow detection. Electronic Letters on Computer Vision and Image Analysis, 6(3), 12. http://hdl.handle.net/20.500.12708/169685
- Radial Edge Configuration for Semi-local Image Structure Description / Szumilas, L., Wildenauer, H., Hanbury, A., & Donner, R. (2007). Radial Edge Configuration for Semi-local Image Structure Description. In Advances in Visual Computing (pp. 633–643). Springer Lecture Notes in Computer Science. http://hdl.handle.net/20.500.12708/52045
- Local Structure Detection with Orientation-invariant Radial Configuration / Szumilas, L., Donner, R., Langs, G., & Hanbury, A. (2007). Local Structure Detection with Orientation-invariant Radial Configuration. In Computer Vision and Pattern Recognition (p. 7). http://hdl.handle.net/20.500.12708/52043
- A Study of Vocabularies for Image Annotation / Hanbury, A. (2007). A Study of Vocabularies for Image Annotation. In Proceedings of the second international conference on Semantics And digital Media Technologies (SAMT) (pp. 284–287). Springer Lecture Notes in Computer Science. http://hdl.handle.net/20.500.12708/51985
- Morphological Distinguished Regions / Hanbury, A. (2007). Morphological Distinguished Regions. In Proc. 12th Iberoamerican Congress on Pattern Recognition (CIARP). 12th Iboamerican Congress on Pattern Recognition, CIAPR2007, Vina del Mar-Valparaiso, Chile, Non-EU. Springer Lecture Notes in Computer Science. http://hdl.handle.net/20.500.12708/51983
- Colour Adjacency Histograms for Image Matching / Hanbury, A., & Marcotegui, B. (2007). Colour Adjacency Histograms for Image Matching. In Proceedings of the Computer Analysis of Images and Patterns Conference (CAIP). 12th International Conference CAIP 2007, Wien, Austria. Springer Lecture Notes in Computer Science. http://hdl.handle.net/20.500.12708/51982
- Do Colour Interest Points Improve Image Retrieval? / Stöttinger, J., Hanbury, A., Sebe, N., & Gevers, T. (2007). Do Colour Interest Points Improve Image Retrieval? In Proc. International Conference on Image Processing (ICIP) (pp. 169–172). http://hdl.handle.net/20.500.12708/51981
- Image based recognition of ancient coins / Zaharieva, M., Kampel, M., & Zambanini, S. (2007). Image based recognition of ancient coins. In W. Kropatsch, M. Kampel, & A. Hanbury (Eds.), Computer Analysis of Images and Patterns (pp. 547–554). Springer Lecture Notes in Computer Science. http://hdl.handle.net/20.500.12708/51975
- Colour Interest Points for Image Retrieval / Stöttinger, J., Sebe, N., Gevers, T., & Hanbury, A. (2007). Colour Interest Points for Image Retrieval. In Proceedings of the 12th Computer Vision Winter Workshop (pp. 83–90). http://hdl.handle.net/20.500.12708/51841
- Computer Analysis of Images and Patterns, 12th International Conference, CAIP 2007 / Kropatsch, W., Kampel, M., & Hanbury, A. (Eds.). (2007). Computer Analysis of Images and Patterns, 12th International Conference, CAIP 2007. Springer LNCS. http://hdl.handle.net/20.500.12708/22351
2006
- A Dataset of Annotated Animals / Hanbury, A. (2006). A Dataset of Annotated Animals. Second MUSCLE/ImageCLEF Workshop on Image and Video Retrieval Evaluation, Alicante, Spain, EU. http://hdl.handle.net/20.500.12708/84673
- Results of the MUSCLE CIS Coin Competition 2006 / Hanbury, A. (2006). Results of the MUSCLE CIS Coin Competition 2006. MUSCLE CIS Coin Competition Workshop, Berlin, EU. http://hdl.handle.net/20.500.12708/84672
- Analysis of Keywords used in Image Understanding Tasks / Hanbury, A. (2006). Analysis of Keywords used in Image Understanding Tasks. OntoImage International Workshop, Genova, Italy, EU. http://hdl.handle.net/20.500.12708/84671
- The MUSCLE / ImageCLEF Image Retrieval Evaluation Campaigns / Hanbury, A. (2006). The MUSCLE / ImageCLEF Image Retrieval Evaluation Campaigns. PASCAL Visual Object Classes Challenge Workshop, Graz, Austria. http://hdl.handle.net/20.500.12708/84670
- Overview of the ImageCLEF 2006 Photographic Retrieval and Object Annotation Tasks / Clough, P., Grubinger, M., Deselaers, T., Hanbury, A., & Müller, H. (2006). Overview of the ImageCLEF 2006 Photographic Retrieval and Object Annotation Tasks. In Proceedings of the CLEF 2006 Workshop (pp. 579–594). Springer Lecture Notes in Computer Science. http://hdl.handle.net/20.500.12708/51984
- Motion and Shadow Detection with an Improved Colour Model / Blauensteiner, P., Wildenauer, H., Hanbury, A., & Kampel, M. (2006). Motion and Shadow Detection with an Improved Colour Model. In First International Conference on Signal and Image Processing (pp. 627–632). IEEE. http://hdl.handle.net/20.500.12708/51653
- Motion Detection Using an Improved Colour model / Wildenauer, H., Blauensteiner, P., Hanbury, A., & Kampel, M. (2006). Motion Detection Using an Improved Colour model. In Advances in Visual Computing (pp. 607–616). Springer Berlin-Heidelberg. http://hdl.handle.net/20.500.12708/51626
- Color Pair Clustering for Texture Detection / Szumilas, L., & Hanbury, A. (2006). Color Pair Clustering for Texture Detection. In Advances in Visual Computing (pp. 255–264). Springer. http://hdl.handle.net/20.500.12708/51583
- Waterfall Segmentation of Complex Scenes / Hanbury, A., & Marcotegui, B. (2006). Waterfall Segmentation of Complex Scenes. In Computer Vision - ACCV 2006 (pp. 888–897). Springer. http://hdl.handle.net/20.500.12708/51544
- On Colour Spaces for Change Detection and Shadow Suppression / Blauensteiner, P., Wildenauer, H., & Hanbury, A. (2006). On Colour Spaces for Change Detection and Shadow Suppression. In Proceedings of the 11th Computer Vision Winter Workshop (pp. 117–122). http://hdl.handle.net/20.500.12708/51543
- Texture segmentation through salient texture patches / Szumilas, L., Micusik, B., & Hanbury, A. (2006). Texture segmentation through salient texture patches. In Proceedings of the 11th Computer Vision Winter Workshop (pp. 111–116). http://hdl.handle.net/20.500.12708/51542
- Extraction of Attributes, Nature and Context of Images / Kuthan, S., & Hanbury, A. (2006). Extraction of Attributes, Nature and Context of Images. In Proceedings of the 11th Computer Vision Winter Workshop (pp. 28–33). http://hdl.handle.net/20.500.12708/51541
- Fast pedestrian tracking based on spatial features and colour / Seitner, F., & Hanbury, A. (2006). Fast pedestrian tracking based on spatial features and colour. In Proceedings of the 11th Computer Vision Winter Workshop (pp. 105–110). http://hdl.handle.net/20.500.12708/51540
- Automatic Image Segmentation by Positioning a Seed / Micusik, B., & Hanbury, A. (2006). Automatic Image Segmentation by Positioning a Seed. In Computer Vision - ECCV2006 (pp. 468–480). Springer. http://hdl.handle.net/20.500.12708/51511
- Template patch driven image segmentation / Micusik, B., & Hanbury, A. (2006). Template patch driven image segmentation. In British Machine Vision Conference 2006, Volume Two (pp. 819–829). http://hdl.handle.net/20.500.12708/51510
2005
- Classification of Color Pigments in Hyperspectral Images / Asinger, C., Kammerer, P., & Zolda, E. (2005). Classification of Color Pigments in Hyperspectral Images. In A. Hanbury & H. Bischof (Eds.), Proc. of the 10th Computer Vision Winter Workshop (pp. 205–214). Eigenverlag. http://hdl.handle.net/20.500.12708/51332
- CCA-based Active Appearance Model Search / Donner, R., Langs, G., Reiter, M., & Bischof, H. (2005). CCA-based Active Appearance Model Search. In A. Hanbury & H. Bischof (Eds.), Computer Vision Winter Workshop 2005 (pp. 73–82). Eigenverlag. http://hdl.handle.net/20.500.12708/51329
- A Method for Determining Geometrical Distortion of Off-The-Shelf Wide-Angle Cameras / Zollner, H., & Sablatnig, R. (2005). A Method for Determining Geometrical Distortion of Off-The-Shelf Wide-Angle Cameras. In W. Kropatsch, R. Sablatnig, & A. Hanbury (Eds.), Proc. of the 27th DAGM Symposium (pp. 224–229). Springer, LNCS. http://hdl.handle.net/20.500.12708/51328
- Blind Background Substraction in Dental Panoramic X-ray Images: An Application Approach / Göbel, P., & Belbachir, A. N. (2005). Blind Background Substraction in Dental Panoramic X-ray Images: An Application Approach. In W. Kropatsch, R. Sablatnig, & A. Hanbury (Eds.), Proc. of the 27th DAGM Symposium (pp. 434–441). Springer, LNCS. http://hdl.handle.net/20.500.12708/51320
- Color Image Compression: Early Vision and the Multiresolution Representations / Belbachir, A. N., & Göbel, P. (2005). Color Image Compression: Early Vision and the Multiresolution Representations. In W. Kropatsch, R. Sablatnig, & A. Hanbury (Eds.), Proc. of the 27th DAGM Symposium (pp. 25–32). Springer, LNCS. http://hdl.handle.net/20.500.12708/51319
- A Sparse Image Representation Using Contourlets / Belbachir, A. N., & Göbel, P. (2005). A Sparse Image Representation Using Contourlets. In A. Hanbury & H. Bischof (Eds.), Proc. of 10th Computer Vision Winter Workshop (pp. 165–174). Eigenverlag. http://hdl.handle.net/20.500.12708/51318
- Steerable Semi-automatic Segmentation of Textured Images / Micusik, B., & Hanbury, A. (2005). Steerable Semi-automatic Segmentation of Textured Images. In H. Kalviainen, J. Parkkinen, & A. Kaarna (Eds.), 14th Scandinavian Conference on Image Analysis (SCIA) (pp. 35–44). Springer, LNCS. http://hdl.handle.net/20.500.12708/51316
- Semi-automatic Segmentation of Textured Images / Micusik, B., & Hanbury, A. (2005). Semi-automatic Segmentation of Textured Images. In A. Hanbury & H. Bischof (Eds.), Proceedings of the 10th Computer Vision Winter Workshop (CVWW 2005) (pp. 53–62). Eigenverlag. http://hdl.handle.net/20.500.12708/51315
- Supervised Texture Detection in Images / Micusik, B., & Hanbury, A. (2005). Supervised Texture Detection in Images. In A. Gagalowicz & W. Philips (Eds.), Computer Analysis of Images and Patterns (CAI (pp. 441–448). Springer, LNCS. http://hdl.handle.net/20.500.12708/51314
- Illumination-invariant morphological texture classification / Hanbury, A., Kandaswamy, U., & Adjeroh, D. (2005). Illumination-invariant morphological texture classification. In C. Ronse, L. Najman, & E. Decenciere (Eds.), Proceedings of the International Symposium on Mathematical Morphology (pp. 377–386). Springer. http://hdl.handle.net/20.500.12708/51313
- Robust Detection and Performance Evaluation of Individuals and Vehicles on an Airport's Apron / Aguilera Antequera, J., Kampel, M., & Blauensteiner, P. (2005). Robust Detection and Performance Evaluation of Individuals and Vehicles on an Airport’s Apron. In A. Hanbury & H. Bischof (Eds.), In Proc. of the Computer Vision Winter Workshop (pp. 145–154). Eigenverlag. http://hdl.handle.net/20.500.12708/51298
- Segmentation and Surveying of Cutaneous Hemangiomas / Zambanini, S., Langs, G., & Bischof, H. (2005). Segmentation and Surveying of Cutaneous Hemangiomas. In A. Hanbury & H. Bischof (Eds.), Proceedings of Computer Vision Winter Workshop CVWW (pp. 103–112). Eigenverlag. http://hdl.handle.net/20.500.12708/51297
- MDL-based Splitting of PCA Models / Langs, G., Peloschek, P. L., & Bischof, H. (2005). MDL-based Splitting of PCA Models. In A. Hanbury & H. Bischof (Eds.), Proceedings of Computer Vision Winter Workshop CVWW (pp. 13–22). Eigenverlag. http://hdl.handle.net/20.500.12708/51296
- Texture Based Drawing Tool Classification in Infrared Reflectograms / Lettner, M., & Sablatnig, R. (2005). Texture Based Drawing Tool Classification in Infrared Reflectograms. In A. Hanbury & H. Bischof (Eds.), Proc. of the 10th Computer Vision Winter Workshop (pp. 63–72). Eigenverlag. http://hdl.handle.net/20.500.12708/51288
- Hierarchical Image Partitioning using Combinatorial Maps / Ion, A., Haxhimusa, Y., Kropatsch, W., & Brun, L. (2005). Hierarchical Image Partitioning using Combinatorial Maps. In A. Hanbury & H. Bischof (Eds.), 10th Computer Vision Winter Workshop - CVWW 2005 (pp. 43–52). Eigenverlag. http://hdl.handle.net/20.500.12708/51281
- Proceedings of the 10th Computer Vision Winter Workshop CVWW 2005 / Hanbury, A., & Bischof, H. (Eds.). (2005). Proceedings of the 10th Computer Vision Winter Workshop CVWW 2005. Eigenverlag. http://hdl.handle.net/20.500.12708/22302
- Pattern Recognition: 27th DAGM Symposium / Kropatsch, W., Sablatnig, R., & Hanbury, A. (Eds.). (2005). Pattern Recognition: 27th DAGM Symposium. Springer, LNCS. http://hdl.handle.net/20.500.12708/22301
2003
- The isophotic metric and its application to feature sensitive morphology on surfaces / Pottmann, H., Steiner, T., Hofer, M., Haider, C., & Hanbury, A. (2003). The isophotic metric and its application to feature sensitive morphology on surfaces. http://hdl.handle.net/20.500.12708/31621
- Mathematical Morphology Applied to Circular Data / Hanbury, A. (2003). Mathematical Morphology Applied to Circular Data. In Advances in Imaging and Electron Physics (pp. 123–204). ACM Press. http://hdl.handle.net/20.500.12708/25343
Supervisions
Note: Due to the rollout of TU Wien’s new publication database, the list below may be slightly outdated. Once the migration is complete, everything will be up to date again.
2023
- A Recommender System for the Matchmaking of Event Participants / Bugl, D. (2023). A Recommender System for the Matchmaking of Event Participants [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.76321
- Optimizing the Cost-Effectiveness Tradeoff in Neural Ranking / Hofstätter, S. (2023). Optimizing the Cost-Effectiveness Tradeoff in Neural Ranking [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.109581
- Aligning ontologies describing computer science for patents and scientific papers / Marcher, H. (2023). Aligning ontologies describing computer science for patents and scientific papers [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.102208
- Graph-based methods for user intent classification / Kurteshi, M. (2023). Graph-based methods for user intent classification [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.105781
- Commonsense question answering using hybrid models for efficiency and explainability / Breiner, G. (2023). Commonsense question answering using hybrid models for efficiency and explainability [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.102461
- Extracting tabular data from utility value appraisals / Rirsch, K. (2023). Extracting tabular data from utility value appraisals [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.77704
2022
- Efficient Temporal Graph Analytics Using large scale telecommunication data for mobility modeling and infrastructure maintenance / Heiler, G. (2022). Efficient Temporal Graph Analytics Using large scale telecommunication data for mobility modeling and infrastructure maintenance [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.108301
- A modular model combining visual and textual features for document image classification / Duhan, A. (2022). A modular model combining visual and textual features for document image classification [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.88103
- Explainability in hate speech detection / Reichel, M. (2022). Explainability in hate speech detection [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.91421
- Merging the gap between automated and human centered usability testing / Yilmaz, C. Ö. (2022). Merging the gap between automated and human centered usability testing [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.88240
- SCI-3000: A novel dataset for the task of figure, table, and caption extraction from scientific PDFs / Darmanovic, F. (2022). SCI-3000: A novel dataset for the task of figure, table, and caption extraction from scientific PDFs [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.94800
- Sparse graph attention networks as efficient ionic liquid potentials / Hödl, S. (2022). Sparse graph attention networks as efficient ionic liquid potentials [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.98004
- Automated detection of misinformation sources on social media / Rupprecht, V. (2022). Automated detection of misinformation sources on social media [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.96465
2021
- Efficient Annotation of complex documents through active learning for retraining a machine learning classifier / Häcker, B. (2021). Efficient Annotation of complex documents through active learning for retraining a machine learning classifier [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2021.77703
- Text analysis using colexification networks / Gander, A. (2021). Text analysis using colexification networks [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2021.83049
- Efficient and effective manual corpus annotation to create resources for evaluation and machine learning / Zlabinger, M. (2021). Efficient and effective manual corpus annotation to create resources for evaluation and machine learning [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.100624
- Automatic detection and classification of suicide-related content in English texts / Baginski, H. (2021). Automatic detection and classification of suicide-related content in English texts [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2021.83254
- Extracting retrievable information from archival documents / Weber, J. T. (2021). Extracting retrievable information from archival documents [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2021.93623
- Evaluating the Improvement of segmentation and classification algorithms in evidence extraction for legal e-discovery / Goedl, M. (2021). Evaluating the Improvement of segmentation and classification algorithms in evidence extraction for legal e-discovery [Diploma Thesis, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/79220
- Disease-Symptom relation extraction from medical text corpora with BERT / Schiegl, A. (2021). Disease-Symptom relation extraction from medical text corpora with BERT [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2021.77705
- Exploring transfer learning techniques for named Entity recognition in Nnoisy user-generated text / Bogensperger, J. (2021). Exploring transfer learning techniques for named Entity recognition in Nnoisy user-generated text [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2021.86900
2020
- Ein eLearning Tool zu Identifizierung von Population, Intervention, Vergleich und Ergebnis für Medizinstudierenden / Schweikert, F. (2020). Ein eLearning Tool zu Identifizierung von Population, Intervention, Vergleich und Ergebnis für Medizinstudierenden [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2021.58460
- Binary text classification using positive and unlabeled data in application to Twitter / Hinterndorfer, D. (2020). Binary text classification using positive and unlabeled data in application to Twitter [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2020.74421
- Detecting signatures in scanned document images / Hauri, M. R. (2020). Detecting signatures in scanned document images [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2021.82593
- Extraktion von bibliographischen Informationen aus PDFs von Publikationen / Purker, A. (2020). Extraktion von bibliographischen Informationen aus PDFs von Publikationen [Diploma Thesis, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/79855
2019
- Machine learning for tissue image analysis / Kromp, F. (2019). Machine learning for tissue image analysis [Dissertation, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/78816
- Vorhersage von Wirtschaftsindikator mittels Sentimentenanalyse von Nachrichtenartikeln und maschinellem Lernen / Hämmerle, C. (2019). Vorhersage von Wirtschaftsindikator mittels Sentimentenanalyse von Nachrichtenartikeln und maschinellem Lernen [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2019.50331
2018
- Adaptierung von Word Embeddings für domänenspezifisches Information Retrieval / Hofstätter, S. (2018). Adaptierung von Word Embeddings für domänenspezifisches Information Retrieval [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2018.50325
- Word representation for text analysis and search : Document retrieval, sentiment analysis, and cross lingual word sense disambiguation / Rekabsaz, N. (2018). Word representation for text analysis and search : Document retrieval, sentiment analysis, and cross lingual word sense disambiguation [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2018.62352
- Automatische Vorhersage von Einkommen anhand von Jahresberichten / Zuljevic, J. (2018). Automatische Vorhersage von Einkommen anhand von Jahresberichten [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2018.59202
- Improving multi word term detection in the patent domain with deep learning / Fink, T. (2018). Improving multi word term detection in the patent domain with deep learning [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2018.40265
- Using natural language processing to automate the Bechdel test / Westphal, K. (2018). Using natural language processing to automate the Bechdel test [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2018.26183
- Table extraction for information retrieval / Mirdamadi Tehrani, A. (2018). Table extraction for information retrieval [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2018.38191
- Boolean query characteristics in patent searching / Honeder, R. (2018). Boolean query characteristics in patent searching [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2018.2483
2016
- Language model driven analysis : simplifying text on an individual scale / Strelzow, A. (2016). Language model driven analysis : simplifying text on an individual scale [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2016.35681
- Finden von Duplikatbildern in Biologie-Publikationen / Zlabinger, M. (2016). Finden von Duplikatbildern in Biologie-Publikationen [Diploma Thesis, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/79367
- Optische Worterkennung mithilfe eines Wörterbuches / Kunerth, M. (2016). Optische Worterkennung mithilfe eines Wörterbuches [Diploma Thesis, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/79582
- Ein Segmentation-basiertes Objekt Erkennung System für Bilder / Zeimpekos, P. (2016). Ein Segmentation-basiertes Objekt Erkennung System für Bilder [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2016.41671
2015
- Addressing metric challenges : bias and selection - efficient computation - hubness explanation and estimation / Taha, A. A. (2015). Addressing metric challenges : bias and selection - efficient computation - hubness explanation and estimation [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2015.34644
- On using statistical semantic on domain specific information retrieval / Rekabsaz, N. (2015). On using statistical semantic on domain specific information retrieval [Diploma Thesis, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/158752
- FindMeEvidence : high precision, web-based information retrieval for decision support of physicians in their medical routine : hochpräzises, webbasiertes Information Retrieval zur Entscheidungsunterstützung von Ärzten in der medizinischen Routine / Petz, G. (2015). FindMeEvidence : high precision, web-based information retrieval for decision support of physicians in their medical routine : hochpräzises, webbasiertes Information Retrieval zur Entscheidungsunterstützung von Ärzten in der medizinischen Routine [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2015.23889
- Using health statistics to improve medical and health search / Sierek, T. (2015). Using health statistics to improve medical and health search [Diploma Thesis]. reposiTUm. https://doi.org/10.34726/hss.2015.14861
- Risk sentiment analysis in banking supervision / Nopp, C. (2015). Risk sentiment analysis in banking supervision [Diploma Thesis]. reposiTUm. https://doi.org/10.34726/hss.2015.24701
2012
- On the contextual co-occurrence of local features in images / Bhatti, M. N. A. (2012). On the contextual co-occurrence of local features in images [Dissertation, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/161099