Publications

Daniel Rubio Bonilla, Colin W. Glass, Jan Kuper, und Robert de Groote. Introducing and Exploiting Hierarchical Structural Information. In Springer (Hrsg.), 2015. [PUMA: embedded functional hlrs hpc models myown programming]

John J. Tyson, und Béla Novák. Models in biology: lessons from modeling regulation of the eukaryotic cell cycle. BMC Biology, (13)1:1--10, 2015. [PUMA: Cell Mathematical Mitosis-promoting Regulated checkpoints cycle factor kinases models phosphatases proteolysis] URL

Roman Klinger, und Katrin Tomanek. Classical Probabilistic Models and Conditional Random Fields. TR07-2-013Dezember 2007. [PUMA: crf graphical models myown probabilistic review tutorial] URL

Christian Scheible, Roman Klinger, und Sebastian Padó. Model Architectures for Quotation Detection. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 1736--1745, Association for Computational Linguistics, Berlin, Germany, August 2016. [PUMA: imported models myown nlp quotations] URL

Roman Klinger, und Philipp Cimiano. Joint and Pipeline Probabilistic Models for Fine-Grained Sentiment Analysis: Extracting Aspects, Subjective Phrases and their Relations. 2013 IEEE 13th International Conference on Data Mining Workshops (ICDMW), 937-944, Dezember 2013. [PUMA: joint models myown probabilistic sentiment] URL

Myriam D Munezero, Calkin Suero Montero, Erkki Sutinen, und John Pajunen. Are they different? affect, feeling, emotion, sentiment, and opinion detection in text. IEEE transactions on affective computing, (5)2:101--111, IEEE, 2014. [PUMA: Affective Computing, affect analysis, and computational emotion models of sensing]

Douglas Reynolds. Gaussian mixture models. Encyclopedia of biometrics, 827--832, Springer, 2015. [PUMA: GMM, Gaussian mixture models tutorial,]

Jeremy Barnes, Roman Klinger, und Sabine Schulte im Walde. Projecting Embeddings for Domain Adaptation: Joint Modeling of Sentiment Analysis in Diverse Domains. Proceedings of COLING 2018, the 27th International Conference on Computational Linguistics, Santa Fe, USA, August 2018. [PUMA: domain-adaptation machinelearning models myown neural nlp sentiment] URL

S. Hoher, P. Schindler, S. G?ttlich, V. Schleper, und S. Röck. System Dynamic Models and Real-time Simulation of Complex Material Flow Systems. In Hoda A. ElMaraghy (Hrsg.), Enabling Manufacturing Competitiveness and Economic Sustainability, 316-321, Springer Berlin Heidelberg, 2012. [PUMA: Material Real-time System dynamic flow models simulation; system; vorlaeufig] URL

S. Hoher, P. Schindler, S. G?ttlich, V. Schleper, und S. Röck. System Dynamic Models and Real-time Simulation of Complex Material Flow Systems. In Hoda A. ElMaraghy (Hrsg.), Enabling Manufacturing Competitiveness and Economic Sustainability, 316-321, Springer Berlin Heidelberg, 2012. [PUMA: Material Real-time System dynamic flow from:mhartmann ians models simulation; system; vorlaeufig] URL

Alexandra Avram, Noha El Gemayel, und Volker Schwieger. Assessment of the Delay-Locked Loop error due to multipath models regarding a deterministic-stochastic channel and a GPS L1 receiver model for kinematic trajectories.. Proceedings of the 31st International Technical Meeting of the Satellite Division of the Institute of Navigation, 2018. [PUMA: 2018 from:larsplate iigs models multipath]

Philipp Hillenbrand, Michael Beltle, Stefan Tenbohlen, und Stefan Mönch. Sensitivity Analysis of Behavioral MOSFET Models in Transient EMC Simulation. 2017. [PUMA: EMC MOSFET Models Simulation Transient] URL

Mohammed Djamali, und Stefan Tenbohlen. A Priori Metrics to Select the Best Training Dataset of Top-Oil Temperature Models of Power Transformer. 2014. [PUMA: Models Power Temperature Top-Oil Transformer]

Mohsen Nemati, M. Imran, B. Meyer, Martin Braun, H. Mueller, und Stefan Tenbohlen. Development of Generic Dynamic Models for Distributed Generators in Microgrids. 2013. [PUMA: Distributed Dynamic Generators Generic Microgrids Models]

Rummiya Vilaithong, Stefan Tenbohlen, und Tobias Stirl. Investigation of Different Top-oil Temperature Models for On-line Monitoring System of Power Transformer. 2006. [PUMA: Models Monitoring On-line Power System Temperature Top-oil Transformer]

Izabella Penier, Martin Paul Eve, und Tom Grady. COPIM – Revenue Models for Open Access Monographs 2020. Zenodo, 2020. [PUMA: access books business bücher geschäftsmodelle models monographs oa open] URL

Izabella Penier, Martin Paul Eve, und Tom Grady. COPIM – Revenue Models for Open Access Monographs 2020. Zenodo, 2020. [PUMA: books geschäftsmodelle oa models bücher access monographs business open from:droessler] URL

Ferran Giones, Daniel Laufs, und Carsten Schultz. Co-creating Science Commercialization Opportunities for Blue Biotechnologies: The FucoSan Project. Sustainability, (12)14:5578, Juli 2020. [PUMA: TE TT commercialization ieis-entrepinno models myown science technology transfer] URL

Jan Knippers. The use of biological models for building and engineering design.. In Bill Addis (Hrsg.), PHYSICAL MODELS: Their historical and current use in civil and building engineering design, 1005 -1016, Ernst & Sohn, September 2020. [PUMA: 2020 biological bionics design engineering itke knippers models physical]

Jan Knippers. The use of biological models for building and engineering design.. In Bill Addis (Hrsg.), PHYSICAL MODELS: Their historical and current use in civil and building engineering design, Ernst & Sohn, September 2020. [PUMA: models knippers engineering 2020 bionics design itke from:petraheim biological physical]

Malte Gerber, Michael Beltle, und Stefan Tenbohlen. Performance assessment of top-oil temperature models for overload capability estimation in online monitoring purposes.. Oktober 2021. [PUMA: Performance assessment capability estimation for in models monitoring of online overload purposes. temperature top-oil]

Samuel Burbulla, und Christian Rohde. A finite-volume moving-mesh method for two-phase flow in fracturing porous media. J. Comput. Phys., 111031, 2022. [PUMA: Discrete Dynamic Finite Fracture Moving-mesh Two-phase algorithm am aperture flow fracture from:brittalenz ians in matrix media methods models porous propagation volume] URL

C. Schumacher, M. Sharbafi, A. Seyfarth, und C. Rode. Biarticular muscles in light of template models, experiments and robotics: a review. In Tobias Siebert (Hrsg.), Journal of The Royal Society Interface, (17)163:20180413, The Royal Society, Februar 2020. [PUMA: assistive biarticular biomechanical devices leg legged locomotor models morphology muscles robotics subfunctions template] URL

Kasper B. Christensen, Michael Guenther, Syn Schmitt, und Tobias Siebert. Muscle wobbling mass dynamics: eigenfrequency dependencies on activity, impact strength, and ground material. Scientific Reports, (13)1:19575, 09.11.2023. [PUMA: Animal Biomechanics Musculoskeletal behaviour models] URL

Björn Schembera, Frank Wübbeling, Hendrik Kleikamp, Christine Biedinger, Jochen Fiedler, Marco Reidelbach, Aurela Shehu, Burkhard Schmidt, Thomas Koprucki, Dorothea Iglezakis, und Dominik Göddeke. Ontologies for Models and Algorithms in Applied Mathematics and Related Disciplines. 2023. [PUMA: cmcs ians models myown nfdi ontologies rdm semantics] URL

Thilo Hagendorff. Deception Abilities Emerged in Large Language Models. arXiv, 1--21, 2023. [PUMA: AI alignment;AI language models safety;deception;GPT-4;large]

Methoden zur Schätzung der Ordnung bei autoregressiven Modellen. In Hartmut Verfasser/in Maier (Hrsg.), Teubner-Texte zur Mathematik ; 113, Teubner, Leipzig, 1989. [PUMA: (Statistics) (Statistics). Autocorrelation Autoregression Autoregressives Linear Modell. Schätzung. importzotero models]