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Gruppiert nach: Dokumententyp | Veröffentlichungsdatum
Anzahl der Publikationen: 18

Zeitschriftenartikel

Schulze, Patrick; Wiegrebe, Simon ORCID logoORCID: https://orcid.org/0000-0003-3385-6879; Thurner, Paul W.; Heumann, Christian und Aßenmacher, Matthias (2023): A Bayesian approach to modeling topic-metadata relationships. In: AStA Advances in Statistical Analysis [Forthcoming]

Lebmeier, Elisabeth; Hou, Naiwen; Spann, Korbinian und Aßenmacher, Matthias (1. März 2021): Creating a 'customer centricity graph' from unstructured customer feedback. In: Applied Marketing Analytics, Bd. 6, Nr. 3: S. 221-229

Schiergens, Tobias S.; Drefs, Moritz; Dörsch, Maximilian; Kühn, Florian; Albertsmeier, Markus; Niess, Hanno; Schoenberg, Markus B.; Aßenmacher, Matthias; Küchenhoff, Helmut ORCID logoORCID: https://orcid.org/0000-0002-6372-2487; Thasler, Wolfgang E.; Guba, Markus O.; Angele, Martin K.; Rentsch, Markus; Werner, Jens und Andrassy, Joachim (2021): Prognostic Impact of Pedicle Clamping during Liver Resection for Colorectal Metastases. In: Cancers, Bd. 13, Nr. 1 [PDF, 1MB]

Schiergens, Tobias S.; Drefs, Moritz; Dörsch, Maximilian; Kühn, Florian; Albertsmeier, Markus; Niess, Hanno; Schoenberg, Markus B.; Aßenmacher, Matthias; Küchenhoff, Helmut ORCID logoORCID: https://orcid.org/0000-0002-6372-2487; Thasler, Wolfgang E.; Guba, Markus O.; Angele, Martin K.; Rentsch, Markus; Werner, Jens und Andrassy, Joachim (2021): Prognostic Impact of Pedicle Clamping during Liver Resection for Colorectal Metastases. In: Cancers, Bd. 13, Nr. 1, 72

Sint, Alena; Lutz, Rebecca; Aßenmacher, Matthias; Küchenhoff, Helmut ORCID logoORCID: https://orcid.org/0000-0002-6372-2487; Kühn, Florian; Faist, Eugen; Bazhin, Alexandr V. ORCID logoORCID: https://orcid.org/0000-0001-5994-4100; Rentsch, Markus; Werner, Jens und Schiergens, Tobias S. (2019): Monocytic HLA-DR expression for prediction of anastomotic leak after colorectal surgery. In: Journal of the American College of Surgeons, Bd. 229, Nr. 2: S. 200-209

Aßenmacher, Matthias; Kaiser, Jan Christian; Zaballa, Ignacio; Gasparrini, Antonio und Küchenhoff, Helmut ORCID logoORCID: https://orcid.org/0000-0002-6372-2487 (2019): Exposure-lag-response associations between lung cancer mortality and radon exposure in German uranium miners. In: Radiation and Environmental Biophysics, Bd. 58: S. 321-336

Deffner, Veronika; Kreuzer, Michaela; Sobotzki, Christina; Aßenmacher, Matthias; Guethlin, Denise; Kaiser, Christian; Kuechenhoff, Helmut und Fenske, Nora (2019): Uncertainties in radiation exposure assessment in the Wismut cohort: a preliminary evaluation. In: 12Th International Conference on the Health Effects of Incorporated Radionuclides (Heir 2018), Bd. 14, UNSP 03009

Brandl, Caroline; Breinlich, Valentin; Stark, Klaus J.; Enzinger, Sabrina; Aßenmacher, Matthias; Olden, Matthias; Grassmann, Felix; Graw, Jochen; Heier, Margit; Peters, Annette; Helbig, Horst; Küchenhoff, Helmut ORCID logoORCID: https://orcid.org/0000-0002-6372-2487; Weber, Bernhard H. F. und Heid, Iris M. (2016): Features of Age-Related Macular Degeneration in the General Adults and Their Dependency on Age, Sex, and Smoking: Results from the German KORA Study.
In: PLOS ONE 11(11), e0167181 [PDF, 961kB]

LMU München: Studienabschlussarbeit

Aßenmacher, Matthias (2016): The exposure-lag-response association between occupational radon exposure and lung cancer mortality. Masterarbeit, Fakultät für Mathematik, Informatik und Statistik, Ludwig-Maximilians-Universität München. [PDF, 1MB]

Konferenzbeitrag

Lebmeier, Elisabeth; Aßenmacher, Matthias und Heumann, Christian (17. März 2023): On the Current State of Reproducibility and Reporting of Uncertainty for Aspect-Based Sentiment Analysis. Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2022, Grenoble, France, September 19--23, 2022, Proceedings, Part II, Grenoble, 19.9.22 - 23.9.22. S. 537-552 [PDF, 676B]

Rauch, Lukas; Aßenmacher, Matthias ORCID logoORCID: https://orcid.org/0000-0003-2154-5774; Huseljic, Denis; Wirth, Moritz; Bischl, Bernd ORCID logoORCID: https://orcid.org/0000-0001-6002-6980 und Sick, Bernhard (2023): ActiveGLAE: A Benchmark for Deep Active Learning with Transformers. European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023. Koutra, Danai ORCID logoORCID: https://orcid.org/0000-0002-3206-8179; Plant, Claudia ORCID logoORCID: https://orcid.org/0000-0001-5274-8123; Gomez Rodriguez, Manuel ORCID logoORCID: https://orcid.org/0000-0003-3930-1161; Baralis, Elena ORCID logoORCID: https://orcid.org/0000-0001-9231-467X und Bonchi, Francesco ORCID logoORCID: https://orcid.org/0000-0001-9464-8315 (Hrsg.): In: Machine Learning and Knowledge Discovery in Databases: Research Track : European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Proceedings, Part I, Bd. 14169 Cham: Springer. S. 55-74

Goschenhofer, Jann; Ragupathy, Pranav; Heumann, Christian; Bischl, Bernd und Aßenmacher, Matthias (Dezember 2022): CC-Top: Constrained Clustering for Dynamic Topic Discovery. Proceedings of the The First Workshop on Ever Evolving NLP (EvoNLP), Abu Dhabi, UAE, 7.12.22 - 11.12.22. S. 26-34 [PDF, 1MB]

Koch, Philipp; Aßenmacher, Matthias und Heumann, Christian (26. Mai 2022): Pre-trained language models evaluating themselves - A comparative study. Proceedings of the Third Workshop on Insights from Negative Results in NLP, Dublin, 26.05.2022. Dublin, Ireland: Association for Computational Linguistics. S. 180-187 [PDF, 242kB]

Aßenmacher, Matthias; Schulze, Patrick und Heumann, Christian (6. September 2021): Benchmarking down-scaled (not so large) pre-trained language models. Proceedings of the 17th Conference on Natural Language Processing (KONVENS 2021), Düsseldorf, Germany, 6. - 9. September. Düsseldorf, Germany: KONVENS 2021 Organizers. S. 14-27 [PDF, 308kB]

Aßenmacher, Matthias; Corvonato, Alessandra und Heumann, Christian (Juni 2021): Re-Evaluating GermEval17 Using German Pre-Trained Language Models. Proceedings of the Swiss Text Analytics Conference 2021, Winterthur, Switzerland (Online), 14.06.2021. [PDF, 427kB]

Meidinger, Maximilian und Aßenmacher, Matthias (6. Februar 2021): A New Benchmark for NLP in Social Sciences: Evaluating the Usefulness of Pre-trained Language Models for Classifying Open-ended Survey Responses. Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,, Vienna, Austria (Online), 06.02.2021. SciTePress. S. 866-873 [PDF, 371kB]

Guderlei, Maike und Aßenmacher, Matthias (10. Dezember 2020): Evaluating Unsupervised Representation Learning for Detecting Stances of Fake News. Proceedings of the 28th International Conference on Computational Linguistics, Barcelona, Spain (Online), 10.12.2020. Barcelona, Spain (Online): International Committee on Computational Linguistics. S. 6339-6349 [PDF, 214kB]

Aßenmacher, Matthias und Heumann, Christian (25. Juni 2020): On the comparability of pre-trained language models. 5th SwissText & 16th KONVENS Joint Conference, Zurich, Switzerland (Online), 25.06.2020. Ebling, Sarah; Tuggener, Don; Hürlimann, Manuela; Cieliebak, Mark und Volk, Martin (Hrsg.): In: Proceedings of the 5th Swiss Text Analytics Conference (SwissText) & 16th Conference on Natural Language Processing (KONVENS), Zurich, Switzerland (Online): School of Engineering. [PDF, 381kB]

Diese Liste wurde am Sat Dec 21 18:10:18 2024 CET erstellt.