Prof. Dr. Beate Sick

Projekte

• Pre-Interventional Preventive Risk Assessment (PIPRA) / Stellv. Projektleiter:in / laufend
• Modeling Writing Phases / Teammitglied / abgeschlossen

Publikationen

• Arpogaus, Marcel; Voss, Marcus; Sick, Beate; Nigge-Uricher, Mark; Dürr, Oliver,

  2023.

  Short-term density forecasting of low-voltage load using bernstein-polynomial normalizing flows.

  IEEE Transactions on Smart Grid.

  14(6), S. 4902-4911.

  Verfügbar unter: https://doi.org/10.1109/TSG.2023.3254890

• Herzog, Lisa; Kook, Lucas; Götschi, Andrea; Petermann, Katrin; Hänsel, Martin; Hamann, Janne; Dürr, Oliver; Wegener, Susanne; Sick, Beate,

  2022.

  Deep transformation models for functional outcome prediction after acute ischemic stroke.

  Biometrical Journal.

  65(6), S. 2100379.

  Verfügbar unter: https://doi.org/10.1002/bimj.202100379

• Kook, Lucas; Herzog, Lisa; Hothorn, Torsten; Dürr, Oliver; Sick, Beate,

  2022.

  Deep and interpretable regression models for ordinal outcomes.

  Pattern Recognition.

  122(108263).

  Verfügbar unter: https://doi.org/10.1016/j.patcog.2021.108263

• Kook, Lucas; Sick, Beate; Bühlmann, Peter,

  2022.

  Distributional anchor regression.

  Statistics and Computing.

  32(3), S. 39.

  Verfügbar unter: https://doi.org/10.1007/s11222-022-10097-z

• Herzog, Lisa; Murina, Elvis; Dürr, Oliver; Wegener, Susanne; Sick, Beate,

  2020.

  Integrating uncertainty in deep neural networks for MRI based stroke analysis.

  Medical Image Analysis.

  65(101790).

  Verfügbar unter: https://doi.org/10.1016/j.media.2020.101790

• Rohrbach, Janick; Reinhard, Tobias; Sick, Beate; Dürr, Oliver,

  2019.

  Bone erosion scoring for rheumatoid arthritis with deep convolutional neural networks.

  Computers & Electrical Engineering.

  78, S. 472-481.

  Verfügbar unter: https://doi.org/10.1016/j.compeleceng.2019.08.003

• Howard, Brian E.; Sick, Beate; Heber, Steffen,

  2009.

  Unsupervised assessment of microarray data quality using a Gaussian mixture model.

  BMC Bioinformatics.

  10(191).

  Verfügbar unter: https://doi.org/10.1186/1471-2105-10-191

• Steiner, Albert; Sick, Beate,

  2008.

  A new method for travel time estimation on long freeway sections.

  European Journal of Transport and Infrastructure Research.

  8(4), S. 333-354.

  Verfügbar unter: https://doi.org/10.21256/zhaw-4908

• Runne, Heike; Régulier, Etienne; Kuhn, Alexandre; Zala, Diana; Gokce, Ozgun; Perrin, Valérie; Sick, Beate; Aebischer, Patrick; Déglon, Nicole; Luthi-Carter, Ruth,

  2008.

  Dysregulation of gene expression in primary neuron models of Huntington's disease shows that polyglutamine-related effects on the striatal transcriptome may not be dependent on brain circuitry.

  Journal of Neuroscience.

  28(39), S. 9723-9731.

  Verfügbar unter: https://doi.org/10.1523/JNEUROSCI.3044-08.2008

• Heber, Steffen; Sick, Beate,

  2006.

  Quality assessment of affymetrix GeneChip data.

  OMICS: A Journal of Integrative Biology.

  10(3), S. 358-368.

  Verfügbar unter: https://doi.org/10.1089/omi.2006.10.358

• Psarros, Michael; Heber, Steffen; Sick, Manuela; Thoppae, Gnanasekaran; Harshman, Keith; Sick, Beate,

  2005.

  RACE : remote analysis computation for gene expression data.

  Nucleic Acids Research.

  46(22), S. W638-W643.

  Verfügbar unter: https://doi.org/10.1093/nar/gki490

• Prummer, Michael; Sick, Beate; Renn, Alois; Wild, Urs P.,

  2004.

  Multiparameter microscopy and spectroscopy for single-molecule analytics.

  Analytical Chemistry.

  76(6), S. 1633-1640.

  Verfügbar unter: https://doi.org/10.1021/ac034976g

• Kastner, C.; Prummer, M.; Sick, Beate; Renn, A.; Wild, U.P.; Dimroth, P.,

  2003.

  The citrate carrier CitS probed by single-molecule fluorescence spectroscopy.

  Biophysical Journal.

  84(3), S. 1651-1659.

  Verfügbar unter: https://doi.org/10.1016/S0006-3495(03)74974-1

• Prummer, Michael; Sick, Beate; Hecht, Bert; Wild, Urs P.,

  2003.

  Three-dimensional optical polarization tomography of single molecules.

  The Journal of Chemical Physics.

  118(21), S. 9824.

  Verfügbar unter: https://doi.org/10.1063/1.1569848

• Sick, Beate; Hecht, B.; Wild, U.P.; Novotny, L.,

  2001.

  Probing confined fields with single molecules and vice versa.

  Journal of Microscopy.

  202(2), S. 365-373.

  Verfügbar unter: https://doi.org/10.1046/j.1365-2818.2001.00795.x

• Sick, Beate; Hecht, B.; Novotny, L.,

  2000.

  Orientational imaging of single molecules by annular illumination.

  Physical Review Letters.

  85(21), S. 4482-4485.

  Verfügbar unter: https://doi.org/10.1103/PhysRevLett.85.4482

• Hecht, Bert; Sick, Beate; Wild, Urs P.; Deckert, Volker; Zenobi, Renato; Martin, Olivier J. F.; Pohl, Dieter W.,

  2000.

  Scanning near-field optical microscopy with aperture probes : fundamentals and applications.

  The Journal of Chemical Physics.

  112(18), S. 7761.

  Verfügbar unter: https://doi.org/10.1063/1.481382

• Prummer, Michael; Hübner, Christian G.; Sick, Beate; Hecht, Bert; Renn, Alois; Wild, Urs P.,

  2000.

  Single-molecule identification by spectrally and time-resolved fluorescence detection.

  Analytical Chemistry.

  72(3), S. 443-447.

  Verfügbar unter: https://doi.org/10.1021/ac991116k

• Stadelmann, Thilo; Tolkachev, Vasily; Sick, Beate; Stampfli, Jan; Dürr, Oliver,

  2019.

  Beyond ImageNet : deep learning in industrial practice

  .

  In:

  Braschler, Martin; Stadelmann, Thilo; Stockinger, Kurt, Hrsg.,

  Applied data science : lessons learned for the data-driven business.

  Cham:

  Springer.

  S. 205-232.

  Verfügbar unter: https://doi.org/10.1007/978-3-030-11821-1_12

• Sick, Beate; Hathorn, Torsten; Durr, Oliver,

  2021.

  Deep transformation models : tackling complex regression problems with neural network based transformation models [Paper].

  In:

  2020 25th International Conference on Pattern Recognition (ICPR).

  25th International Conference on Pattern Recognition (ICPR), virtual, 10-15 January 2021.

  IEEE.

  S. 2476-2481.

  Verfügbar unter: https://doi.org/10.1109/ICPR48806.2021.9413177

• Arpogaus, Marcel; Voss, Marcus; Sick, Beate; Nigge-Uricher, Mark; Dürr, Oliver,

  2021.

  Probabilistic short-term low-voltage load forecasting using bernstein-polynomial normalizing flows [Paper].

  In:

  ICML.

  Verfügbar unter: https://www.climatechange.ai/papers/icml2021/20

• Dürr, Oliver; Sick, Beate,

  2016.

  Single-cell phenotype classification using deep convolutional neural networks.

  Journal of Biomolecular Screening.

  21(9), S. 998-1003.

  Verfügbar unter: https://doi.org/10.1177/1087057116631284

• Sick, Beate; Dürr, Oliver,

  2013.

  Datenanalyse : Anregungen zur Umsetzung der "Datenanalyse" im eidg. Rahmenlehrplan 2012 für die Berufsmaturität.

  Winterthur:

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

  ISBN 978-3-905745-71-9.

  Verfügbar unter: https://doi.org/10.21256/zhaw-4774

• Mätzener, Heinrich; Gutzwiller, Johanna; Sick, Beate; Maier, Hans-Christof; Tomatis, Laura,

  2012.

  Klarinettenklang : Versuch einer physiologischen Analyse.

  Dissonance.

  2012(118), S. 43-51.

  Verfügbar unter: https://doi.org/10.5169/seals-927668

• Perrin, Daniel; Wildi, Marc; Sick, Beate; Fürer, Mathias; Gantenbein, Thomas,

  2011.

  From walking to jumping : statistical modeling of writing processes [Paper].

  In:

  Proceedings of the JACET 50th commemorative international convention.

  JACET 50th Commemorative International Convention, Fukuoka, Japan, 30 August - 2 September 2011.

• Howard, Brian; Sick, Beate; Heber, Steffen,

  2009.

  Practical quality assessment of microarray data by simulation of differential gene expression [Paper].

  In:

  Bioinformatics Research and Applications.

  5th International Symposium on Bioinformatics Research and Applications (ISBRA), Fort Lauderdale, USA, 13-16 May 2009.

  Springer.

  S. 18-27.

  Lecture Notes in Computer Science ; 5542.

  Verfügbar unter: https://doi.org/10.1007/978-3-642-01551-9_3

• Steiner, Albert; Sick, Beate,

  2008.

  New methods for travel time estimation on freeway sections.

  MOTION Working Papers Transportation Systems

  ; 1.

  Winterthur:

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

  Verfügbar unter: https://doi.org/10.21256/zhaw-117

• Howard, Brian E.; Sick, Beate; Perera, Imara; Im, Yang Ju; Winter-Sederoff, Heike; Heber, Steffen,

  2007.

  Quality assessment of Affymetrix GeneChip data using the EM algorithm and a naïve Bayes classifier [Paper].

  In:

  2007 IEEE 7th International Symposium on BioInformatics and BioEngineering.

  7th International Conference on BioInformatics and BioEngineering, Boston, USA, 14-17 October 2007.

  IEEE.

  Verfügbar unter: https://doi.org/10.1109/BIBE.2007.4375557

• Heber, Steffen; Sick, Beate,

  2006.

  Automatic quality assessment of Affymetrix GeneChip data [Paper].

  In:

  Proceedings of the 44th annual Southeast regional conference.

  44th ACM Southeast Regional Conference, Melbourne FL, USA, 10-12 March 2006.

  Association for Computing Machinery.

  S. 411-416.

  Verfügbar unter: https://doi.org/10.1145/1185448.1185540

• Fürer, Mathias; Gantenbein, Thomas; Perrin, Daniel; Sick, Beate; Wildi, Marc,

  2012.

  Modeling writing phases : interdisciplinary method building – an interim report.

  In:

  7. Tage der Schweizer Linguistik, Lugano, 13.-14. September 2012.

• Sick, Beate; Steiner, Albert,

  2007.

  Travel time estimation for long freeway sections.

  In:

  Swiss Statistics Meeting, Lucerne, 14 -16 November 2007.

  Swiss Statistical Society (SSS).

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