Publications

Lars Kegel, Martin Hahmann, and Wolfgang Lehner. Generating What-If Scenarios for Time Series Data. Proceedings of the 29th International Conference on Scientific and Statistical Database Management, Association for Computing Machinery, New York, NY, USA, 2017. [PUMA: analysis, analytics business hypothetical query, scenario, series time what-if] URL

Claudio Hartmann, Martin Hahmann, Wolfgang Lehner, and Frank Rosenthal. Exploiting big data in time series forecasting: A cross-sectional approach. 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA), 1--10, 2015. [PUMA: Time analysis;Forecasting;Predictive data;Data model;History models;Big models;Mathematical series]

Maciej Rosolowski, Volker Oberle, Peter Ahnert, Petra Creutz, Martin Witzenrath, Michael Kiehntopf, Markus Loeffler, Norbert Suttorp, and Markus Scholz. Dynamics of cytokines, immune cell counts and disease severity in patients with community-acquired pneumonia - Unravelling potential causal relationships. Cytokine, (136)155263:155263, Elsevier BV, December 2020. [PUMA: Community-acquired Cytokines; Systemic Time inflammatory pneumonia; response; series]

Michael Rade, Sebastian Böhlen, Vanessa Neuhaus, Dennis Löffler, Conny Blumert, Maximilian Merz, Ulrike Köhl, Susann Dehmel, Katherina Sewald, and Kristin Reiche. A time-resolved meta-analysis of consensus gene expression profiles during human T-cell activation. Genome Biol., (24)1:287, December 2023. [PUMA: Biomarkers; Gene Non-negative T-cell Temporal Time Transcriptome activation; expression; factorization; gene matrix profiles; series;]