Matthias Ring

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


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.
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.
Ring, M., & Eskofier, B. (2016). An approximation of the Gaussian RBF kernel for efficient classification with SVMs. Pattern Recognition Letters, 84, 107–113.
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.
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.
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.
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