Aarhus University Seal / Aarhus Universitets segl

Bo Thiesson

  1. 2019
  2. Udgivet

    Artificial intelligence outperforms early warning scores at detecting sepsis: a retrospective Danish study. / Lauritsen, Simon Meyer; Kristensen, Mads; Lauritsen, Katrine Meyer; Jørgensen, Marianne Johansson; Lange, Jeppe; Thiesson, Bo.

    2019. Abstract fra EUSEM 2019, Prague, Tjekkiet.

    Publikation: KonferencebidragKonferenceabstrakt til konferenceForskningpeer review

  3. Udgivet

    Accurate and Explainable Artificial Intelligence for The Early Prediction of Acute Critical Illness. / Lauritsen, Simon Meyer; Kristensen, Mads; Olsen, Morten; Olsen, Mathias Vassard; Lauritsen, Katrine Meyer; Jørgensen, Marianne Johansson; Lange, Jeppe; Thiesson, Bo.

    2019. Abstract fra 37th National Meeting on Biomedical Engineering, Vejle, Danmark.

    Publikation: KonferencebidragKonferenceabstrakt til konferenceForskningpeer review

  4. Under udarbejdelse
  5. 2018
  6. Udgivet

    Early Sepsis Detection with Deep Learning on EHR Event Sequences. / Lauritsen, Simon Meyer; Thiesson, Bo; Kalør, Mads E.; Kongsgaard, Emil Lund.

    2018. Poster session præsenteret ved Danish Emergency Medicine Conference 2018, Aarhus, Danmark.

    Publikation: KonferencebidragPosterForskningpeer review

  7. 2015
  8. Udgivet

    Evaluating the Value of Flexibility in Energy Regulation Markets. / Neupane, Bijay; Pedersen, Torben Bach; Thiesson, Bo.

    Proceedings of the 2015 ACM Sixth International Conference on Future Energy Systems. Association for Computing Machinery, 2015. s. 131-140.

    Publikation: Bidrag til bog/antologi/rapport/proceedingKonferencebidrag i proceedingsForskningpeer review

  9. Udgivet

    HyperSAX : Fast approximate search of multidimensional data. / Gydesen, Jens Emil; Haxholm, Henrik; Poulsen, Niels Sonnich; Wahl, Sebastian; Thiesson, Bo.

    Proceedings of the International Conference on Pattern Recognition Applications and Methods. Bind 1 SCITEPRESS Digital Library, 2015. s. 190-198.

    Publikation: Bidrag til bog/antologi/rapport/proceedingKonferencebidrag i proceedingsForskningpeer review

  10. 2014
  11. Udgivet

    Discussion Graphs : Putting Social Media Analysis in Context. / Kiciman, Emre; Counts, Scott; Gamon, Michael; Choudhury, Munmun De; Thiesson, Bo.

    Proceedings of the Eighth International AAAI Conference on Weblogs and Social Media. AAAI Press, 2014. s. 246-255.

    Publikation: Bidrag til bog/antologi/rapport/proceedingKonferencebidrag i proceedingsForskningpeer review

  12. 2013
  13. Udgivet

    Analyzing Social Media Relationships in Context with Discussion Graphs. / Kiciman, Emre; Choudhury, Munmun De; Counts, Scott; Gamon, Michael; Thiesson, Bo.

    Mining and Learning with Graphs: Proceedings of the Eleventh Workshop (2013). Association for Computing Machinery, 2013.

    Publikation: Bidrag til bog/antologi/rapport/proceedingKonferencebidrag i proceedingsForskningpeer review

  14. Udgivet

    Segmentation of Nonstationary Time Series with Geometric Clustering. / Bocharov, Alexei; Thiesson, Bo.

    Pattern Recognition - Applications and Methods. red. / Pedro Latorre Carmona; J. Salvador Sanchez; Ana L. N. Fred. Bind 204 Berlin Heidelberg : Springer Publishing Company, 2013. s. 93-107 (Advances in Intelligent Systems and Computing).

    Publikation: Bidrag til bog/antologi/rapport/proceedingBidrag til bog/antologiForskningpeer review

  15. Udgivet

    The Bregman Variational Dual-Tree Framework. / Amizadeh, Saeed; Thiesson, Bo; Hauskrecht, Milos.

    Uncertainty in Artificial Intelligence: Proceedings of the Twenty-Ninth Conference (2013). red. / Ann Nicholson; Padhraic Smyth. Corvallis, Oregon : AUAI Press, 2013. s. 22-31.

    Publikation: Bidrag til bog/antologi/rapport/proceedingKonferencebidrag i proceedingsForskningpeer review