Veröffentlichungen 2020
- M.R. Berthold, C. Borgelt, F. Höppner, F. Klawonn, R. Silipo: Guide to Intelligent Data Science: How to Intelligently Make Use of Real Data. Springer, London (2020)
- M. Frentrup, Z. Zhou, M. Steglich, J.P. Meier-Kolthoff, M. Göker, T. Riedel, B. Bunk, C. Spröer, J. Overmann, M. Blaschitz, A. Indra, L. von Müller, T.A. Kohl, S. Niemann, C. Seyboldt, F. Klawonn, N. Kumar, T.D. Lawley, S. Garcia-Fernandez, R. Canton, R. del Campo, O. Zimmermann, U. Groß, M. Achtman, U. Nübel: A publicly accessible database for Clostridioides difficile genome sequences supports tracing of transmission chains and epidemics. Microbial Genomics (2020), doi: 10.1099/mgen.0.000410
- L. Kühnle, U. Mücke, W.M. Lechner, F. Klawonn, L. Grigull: A Social Network for people without a diagnosis: Sketching, prototyping and evaluation of RarePairs. Journal of Medical Internet Research 22(9):e21849, doi: 10.2196/21849
- J. Palm, G. Hoffmann, F. Klawonn, O. Tutarel, H. Palm, S. Holdenrieder, P. Ewert: Continuous, complete and comparable NT-proBNP reference ranges in healthy children. Clinical Chemistry and Laboratory Medicine 58(9), (2020), 1509-1516, doi: 10.1515/cclm-2019-1185
- C. Slabik, M. Kalbarczyk S. Danisch, R. Zeidler, F. Klawonn, V. Volk, N. Krönke, F. Feuerhake, C. Ferreira de Figueiredo, R. Blasczyk, H. Olbrich, S.J. Theobald, A. Schneider, A. Ganser, C. von Kaisenberg, S. Lienenklaus, A. Bleich, W. Hammerschmidt, R. Stripecke: CAR-T cells targeting Epstein-Barr virus gp350 validated in a humanized mouse model of EBV infection and lymphoproliferative disease. Molecular Therapy - Oncolytics 18 (2020), 504-524
- S.J. Theobald, C. Kreer, S. Khailaie, A. Bonifacius, B. Eiz-Vesper, C. Figueiredo, M. Mach, M. Backovic, M. Ballmaier, J. Koenig, H. Olbrich, A. Schneider, V. Volk, S. Danisch, L. Gieselmann, M.S. Ercanoglu, M. Messerle, C. von Kaisenberg, T. Witte, F. Klawonn, M. Meyer-Hermann, F. Klein, R. Stripecke: Repertoire characterization and validation of gB-specific human IgGs directly cloned from humanized mice vaccinated with dendritic cells and protected against HCMV. Plos Pathogens (2020), doi:10.1371/journal.ppat.1008560
- L.S. de Araujo, K. Pessler, K.-W. Sühs, N. Novoselova, F. Klawonn, M. Kuhn, V. Kaever, K. Müller-Vahl, C. Trebst, T. Skripuletz, M. Stangel, F. Pessler: Phosphatidylcholine PC ae C44:6 in cerebrospinal fluid is a sensitive biomarker for bacterial meningitis. Journal of Translational Medicine 18:9, (2020)
- M.A.L. Böning, S. Trittel, P. Riese, M. van Ham, M. Heyner, M. Voss, G.P. Parzmair, F. Klawonn, A. Jeron, C.A. Guzman, L. Jänsch, B. Schraven, A. Reinhold, D. Bruder: ADAP promotes degranulation and migration of NK cells primed during in vivo Listeria monocytogenes infection in mice. Frontiers in Immunology} 10, Article 3144, (2020), doi: 10.3389/fimmu.2019.03144
- G. Hoffmann, F. Klawonn, S. Holdenrieder: Referenzintervall-Überprüfung: Ein Konzept wird erwachsen. Trillium Diagnostik 18(1) (2020), 14-17
- F. Klawonn, M. Orth, G. Hoffmann: Quantitative Laboratory Results: Normal or Lognormal Distribution? Journal of Laboratory Medicine 44(3) (2020), 143-150
- P. Riese, S. Trittel, R.D. Pathirana, F. Klawonn, R.J. Cox, C.A. Guzman: Responsiveness to influenza vaccination correlates with NKG2C-expression on NK cells. Vaccines 8, 281 (2020), doi:10.3390/vaccines8020281
- Frank Höppner, Maximilian Jahnke: Enriched Weisfeiler-Lehman Kernel for Improved Graph Clustering of Source Code. Symp. Intelligent Data Analysis (IDA) 2020: 248-260
- Frank Höppner: Multidimensional Decision Tree Splits to Improve Interpretability. International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES) 2020
- Frank Höppner: Taking benefit from fellow students code without copying off – making better use of students collective works. 18. Fachtagung Bildungstechnologien (DELFI),2020
- Martin N., Friedewald M., Schiering I., Mester B., Hallinan D., Jensen M. (2020) Die Datenschutz-Folgenabschätzung nach Art. 35 DSGVO: Ein Handbuch für die Praxis, Fraunhofer-Verlag, Stuttgart, http://publica.fraunhofer.de/documents/N-586394.html
- Gabel, A.; Ertas, F.; Pleger, M.; Schiering, I. and Müller, S. (2020). Privacy-preserving Metrics for an mHealth App in the Context of Neuropsychological Studies.In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5 HEALTHINF: HEALTHINF, https://doi.org/10.5220/0008982801660177.
- Lorenz T., Schiering I. (2020) Privacy in Location-Based Services and Their Criticality Based on Usage Context. In: Privacy and Identity Management. Data for Better Living: AI and Privacy. Privacy and Identity 2019. IFIP Advances in Information and Communication Technology, vol 576. Springer, Cham, https://doi.org/10.1007/978-3-030-42504-3_29
- Schiering, I., Mester, B., Friedewald, M. et al. Datenschutz-Risiken partizipativ identifizieren und analysieren. Datenschutz und Datensicherheit - DuD 44, 161–165 (2020)
- Martin, N., Schiering, I. & Friedewald, M. Methoden der Datenschutz-Folgenabschätzung. Datenschutz und Datensicherheit - DuD 44, 154–160 (2020). https://doi.org/10.1007/s11623-020-1242-z
- Martin, N., Mester, B., Schiering, I. et al. Datenschutz-Folgenabschätzung. Datenschutz und Datensicherheit - DuD 44, 149–153 (2020). https://doi.org/10.1007/s11623-020-1241-0
- K. Gutenschwager, P. Arnold (2020): Simulation von Lieferantennetzwerken: Grundlagen und Anwendungen bei der ZF Friedrichshafen AG. In: G. Mayer, C. Pöge, S. Spieckermann, S. Wenzel (Hrsg.), Ablaufsimulation in der Automobilindustrie, Springer, Berlin, S. 247-259.