apl. Prof. Dr. Michael Grottke

Lehrstuhl für Statistik und Ökonometrie Fachbereich Wirtschaftswissenschaften

Rethinking Software Fault Tolerance (2024) Trivedi KS, Grottke M, Lopez JA Journal article Guest Editorial Special Section on Applied Software Aging and Rejuvenation (2023) Grottke M, Avritzer A, Washizaki H, Trivedi K Journal article Innovation signals: leveraging machine learning to separate noise from news (2023) Mühlroth C, Kölbl L, Grottke M Journal article Chapter 8: Software Aging Monitoring and Rejuvenation for the Assessment of High Availability Systems - Extended Abstract (2020) Avritzer A, Grottke M, Menasche DS Conference contribution Using Software Aging Monitoring and Rejuvenation for the Assessment of High-Availability Systems (2020) Avritzer A, Grottke M, Menasché DS Book chapter / Article in edited volumes Artificial Intelligence in Innovation: How to Spot Emerging Trends and Technologies (2020) Mühlroth C, Grottke M Journal article Obtaining More Specific Topics and Detecting Weak Signals by Topic Word Selection (2020) Kölbl L, Grottke M Book chapter / Article in edited volumes Beyond Herd Immunity Against Strategic Attackers (2020) Rufino VQ, De Aguiar LP, Menasche DS, Lima C, Cunha I, Altman E, El-Azouzi R, et al. Journal article Exploiting social media with higher-order Factorization Machines: statistical arbitrage on high-frequency data of the S&P 500 (2019) Knoll J, Stübinger J, Grottke M Journal article Big Data im Innovationsmanagement: Wie Machine Learning die Suche nach Trends und Technologien revolutioniert. (2019) Kölbl L, Mühlroth C, Wiser F, Grottke M, Durst C Journal article