Publications

Kossi Amouzouvi, Yashrajsinh Chudasama, Disha Purohit, Ariam Rivas, Bowen Song, Jens Lehmann, Sahar Vahdati, and Maria-Esther Vidal. SimE: A Knowledge Graph Embedding Model to Encode Self-Similar Structures Through Algebraic and Geometric Transformations. IEEE Access, (13):74705-74723, 2025. [PUMA: SimE algebraic geometric knowledge_graph model transformations xack yaff]

Melissa Sanabria, Jonas Hirsch, and Anna R Poetsch. The human genome's vocabulary as proposed by the DNA language model GROVER. bioRxiv, July 2023. [PUMA: DNA GROVER language model xack]

Robert Chlumsky, Juliane Mai, James R Craig, and Bryan A Tolson. Advancement of a blended hydrologic model for robust model performance. March 2023. [PUMA: Advancement blended hydrologic model performance robust yaff]

Samuel I. Berchuck, Felipe A. Medeiros, Sayan Mukherjee, and Andrea Agazzi. Scalable Bayesian inference for the generalized linear mixed model. 2024. [PUMA: Bayesian Scalable generalized imported inference linear mixed model zno] URL

Timo P. Gros, David Groß, Stefan Gumhold, Jörg Hoffmann, Michaela Klauck, and Marcel Steinmetz. TraceVis: Towards Visualization for Deep Statistical Model Checking. Leveraging Applications of Formal Methods, Verification and Validation: Tools and Trends: 9th International Symposium on Leveraging Applications of Formal Methods, ISoLA 2020, Rhodes, Greece, October 20–30, 2020, Proceedings, Part IV, 27–46, Springer-Verlag, Berlin, Heidelberg, 2020. [PUMA: Checking Model Statistical Visualization nopdf networks neural] URL

Christoph Haar, and Erik Buchmann. IoT Security With INFINITE: The 3-Dimensional Internet Of Things Maturity Model. 2022 9th International Conference on Internet of Things: Systems, Management and Security (IOTSMS), 1--8, 2022. [PUMA: Cameras Companies Costs Cycle Internet IoT Law Life Maturity Model Procurement Security Software Standards Things area_responsibleai zno]

Jan Gaebel, Hans-Georg Wu, Alexander Oeser, Mario A Cypko, Matthaeus Stoehr, Andreas Dietz, Thomas Neumuth, Stefan Franke, and Steffen Oeltze-Jafra. Modeling and processing up-to-dateness of patient information in probabilistic therapy decision support. Artif. Intell. Med., (104)101842:101842, Elsevier BV, April 2020. [PUMA: Arden Decision Head Medical Therapy and decision delay logic model modules neck oncology support syntax system zno]

David Nam, Julius Chapiro, Valerie Paradis, Tobias Paul Seraphin, and Jakob Nikolas Kather. Artificial intelligence in liver diseases: Improving diagnostics, prognostics and response prediction. JHEP Rep., (4)4:100443, Elsevier BV, April 2022. [PUMA: AI CNN Communications DICOM Diagnosis Digital HCC Imaging Individual ML MVI Medicine NAFLD NASH Prognosis Reporting TACE TRIPOD Transparent WSIs a and artificial carcinoma chemoembolisation convolutional data deep diagnostic disease fatty for hepatocellular images imaging in integration intelligence invasion learning liver machine microvascular model multimodal multivariable network neural non-alcoholic of or prediction slide steatohepatitis support system topic_lifescience transarterial whole zno]

Roman C Maron, Achim Hekler, Sarah Haggenmüller, Christof von Kalle, Jochen S Utikal, Verena Müller, Maria Gaiser, Friedegund Meier, Sarah Hobelsberger, Frank F Gellrich, Mildred Sergon, Axel Hauschild, Lars E French, Lucie Heinzerling, Justin G Schlager, Kamran Ghoreschi, Max Schlaak, Franz J Hilke, Gabriela Poch, Sören Korsing, Carola Berking, Markus V Heppt, Michael Erdmann, Sebastian Haferkamp, Dirk Schadendorf, Wiebke Sondermann, Matthias Goebeler, Bastian Schilling, Jakob N Kather, Stefan Fröhling, Daniel B Lipka, Eva Krieghoff-Henning, and Titus J Brinker. Model soups improve performance of dermoscopic skin cancer classifiers. Eur. J. Cancer, (173):307--316, Elsevier BV, September 2022. [PUMA: Calibration Dermatology Ensembles Generalisation Melanoma Model Nevus Robustness intelligence learning soups topic_lifescience zno artificial deep]

Jens Przybilla, Peter Ahnert, Holger Bogatsch, Frank Bloos, Frank M Brunkhorst, SepNet Critical Care Trials Group, Progress Study Group, Michael Bauer, Markus Loeffler, Martin Witzenrath, Norbert Suttorp, and Markus Scholz. Markov state modelling of disease courses and mortality risks of patients with community-acquired pneumonia. J. Clin. Med., (9)2:393, MDPI AG, February 2020. [PUMA: Markov SOFA community-acquired continuous-time decision making; medical model model; pneumonia; prognosis; score; sepsis; stochastic zno]

Akshay Akshay, Masoud Abedi, Navid Shekarchizadeh, Fiona C Burkhard, Mitali Katoch, Alex Bigger-Allen, Rosalyn M Adam, Katia Monastyrskaya, and Ali Hashemi Gheinani. MLcps: machine learning cumulative performance score for classification problems. Gigascience, (12)December 2022. [PUMA: Python classification evaluation learning machine model package problems score topic_federatedlearn unified xack yaff]

Dianzhao Li, and Ostap Okhrin. Modified DDPG car-following model with a real-world human driving experience with CARLA simulator. Transportation Research Part C: Emerging Technologies, (147):103987, 2023. [PUMA: CARLA Car-following DRL ROS Real dataset driving model topic_engineering xack] URL