Role

2020S

 

  • Developing a fully automated evidence synthesis tool for identifying, assessing and collating the evidence / J. Brassey, C. Price, J. Edwards, M. Zlabinger, A. Bampoulidis, A. Hanbury / BMJ Evidence-Based Medicine, online first (2019)
  • Efficient and Effective Text-Annotation through Active Learning / M. Zlabinger / Talk: SIGIR '19: The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, Paris, France; 2019-07-21 - 2019-07-25; in: "SIGIR'19: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval", Association for Computing Machinery, New York (2019), ISBN: 978-1-4503-6172-9; 1456
  • Efficient Answer-Annotation for Frequent Questions / M. Zlabinger, N. Rekabsaz, S. Zlabinger, A. Hanbury / Talk: 10th International Conference of the CLEF Association, CLEF 2019, Lugano, Switzerland; 2019-09-09 - 2019-09-12; in: "Experimental IR Meets Multilinguality, Multimodality, and Interaction.10th International Conference of the CLEF Association, CLEF 2019 Lugano, Switzerland, September 9-12, 2019. Proceedings.", Springer, Lecture Notes in Computer Science 11696 (2019), ISBN: 978-3-030-28576-0; 126 - 137
  • Improving the Annotation Efficiency and Effectiveness in the Text Domain / M. Zlabinger / Talk: Advances in Information Retrieval. 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14-18, 2019, Cologne, Germany; 2019-04-14 - 2019-04-18; in: "Advances in Information Retrieval 41st European Conference on IR Research, ECIR 2019, Cologne, Germany, April 14-18, 2019, Proceedings, Part I", L. Azzopardi et al. (ed.); Springer, Cham, LNCS, volume 11437 (2019), ISBN: 978-3-030-15718-0; 343 - 347
  • Medical Entity Corpus with PICO elements and Sentiment Analysis / M. Zlabinger, L. Andersson, A. Hanbury, M. Andersson, V. Quasnik, J. Brassey / in: "LREC 2018, Eleventh International Conference on Language Resources and Evaluation", International Conference on Language Resources and Evaluation, 2018, ISBN: 979-10-95546-00-9, 292 - 296
  • Extracting the Population, Intervention, Comparison and Sentiment from Randomized Controlled Trials. / M. Zlabinger, L. Andersson, J. Brassey, A. Hanbury / Studies in health technology and informatics, 247 (2017), 146 - 150
  • Finding duplicate images in biology papers / M. Zlabinger, A. Hanbury / Poster: Symposium on Applied Computing (SAC), Marokko; 2017-04-04 - 2017-04-06; in: "32nd ACM SIGAPP Symposium On Applied Computing", SAC '17 Proceedings of the Symposium on Applied Computing, (2017), 957 - 959
  • Efficient and Effective Text-Annotation through Active Learning / M. Zlabinger / Talk: SIGIR '19: The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, Paris, France; 2017-08-07 - 2017-08-11; in: "SIGIR'19: Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval", ACM, New York (2017), ISBN: 978-1-4503-5022-8; 1456
  • Finden von Duplikatbildern in Biologie-Publikationen / Master Thesis by M. Zlabinger / Supervisor: A. Hanbury; Institut für Softwaretechnik und Interaktive Systeme, 2016