Matthias Ring

Thomson Researcher ID: I-3822-2016
Scopus Author ID: 55546847500



Organisation


Lehrstuhl für Informatik 5 (Mustererkennung)
Lehrstuhl für Informatik 14 (Maschinelles Lernen und Datenanalytik)


Project member


Green Belt ML@Operations - Machine Learning for Specific Use Cases in Production and Quality
Prof. Dr. Nico Hanenkamp; Prof. Dr. Björn Eskofier
(01/11/2017 - 31/10/2019)

Digital Vision Trainer
Prof. Dr. Björn Eskofier
(01/08/2016 - 31/07/2018)

Data Mining in the U.S. National Toxicology Program (NTP) Database
Prof. Dr. Björn Eskofier
(01/03/2015 - 31/05/2015)

Non-invasive determination of the human hydration level
Prof. Dr. Björn Eskofier
(01/01/2013 - 31/12/2017)


Publications (Download BibTeX)

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Ivanovic, M., Ring, M., Baronio, F., Calza, S., Vukcevic, V., Hadzievski, L.,... Eskofier, B. (2018). ECG derived feature combination versus single feature in predicting defibrillation success in out-of-hospital cardiac arrested patients. Biomedical Physics and Engineering Express, 5(1), 015012. https://dx.doi.org/10.1088/2057-1976/aaebec
Ring, M. (2018). Quantitative Estimation of Total Body Water Loss During Physical Exercise (Dissertation).
Morgner, P., Müller, C., Ring, M., Eskofier, B., Riess, C., Armknecht, F., & Benenson, Z. (2017). Privacy Implications of Room Climate Data. In Proceedings of the 22nd European Symposium on Research in Computer Security (ESORICS 2017) (pp. 324-343). Oslo, NO.
Ring, M., Lohmueller, C., Rauh, M., Mester, J., & Eskofier, B. (2017). Salivary Markers for Quantitative Dehydration Estimation During Physical Exercise. IEEE Journal of Biomedical and Health Informatics, 21(5), 1306-1314. https://dx.doi.org/10.1109/JBHI.2016.2598854
Ring, M., & Eskofier, B. (2016). An approximation of the Gaussian RBF kernel for efficient classification with SVMs. Pattern Recognition Letters, 84, 107–113. https://dx.doi.org/10.1016/j.patrec.2016.08.013
Jensen, U., Kugler, P., Ring, M., & Eskofier, B. (2016). Approaching the accuracy-cost conflict in embedded classification system design. Pattern Analysis and Applications, 19(3), 839-855. https://dx.doi.org/10.1007/s10044-015-0503-1
Ring, M., Lohmüller, C., Rauh, M., Mester, J., & Eskofier, B. (2016). A Temperature-Based Bioimpedance Correction for Water Loss Estimation During Sports. IEEE Journal of Biomedical and Health Informatics, 20(6), 1477-1484. https://dx.doi.org/10.1109/JBHI.2015.2466076
Kreutzer, P., Dotzler, G., Ring, M., Eskofier, B., & Philippsen, M. (2016). Automatic clustering of code changes. In Proceedings of the 13th International Conference on Mining Software Repositories (MSR'16) (pp. 61-72). Austin, TX, USA, US.
Behringer, M., Jedlicka, D., McCourt, M., Ring, M., & Mester, J. (2016). Effects of lymphatic drainage and local cryo exposition regeneration after high-intensive exercises. MLTJ : Muscles, Ligaments and Tendons Journal , 6(2), 228-235. https://dx.doi.org/10.11138/mltj/2016.6.2.228
Behringer, M., Grützner, S., Montag, J., McCourt, M., Ring, M., & Mester, J. (2016). Effects of stimulation frequency, amplitude, and impulse width on muscle fatigue. Muscle & Nerve, 53(4), 608-616.

Last updated on 2019-22-01 at 17:50