| Predicting tree species from 3D laser scanning point clouds using deep learning D Seidel, P Annighöfer, A Thielman, QE Seifert, JH Thauer, J Glatthorn, ... Frontiers in Plant Science 12, 635440, 2021 | 49 | 2021 |
| Pseudo-document simulation for comparing LDA, GSDMM and GPM topic models on short and sparse text using Twitter data C Weisser, C Gerloff, A Thielmann, A Python, A Reuter, T Kneib, B Säfken Computational statistics 38 (2), 647-674, 2023 | 20 | 2023 |
| Unsupervised document classification integrating web scraping, one-class SVM and LDA topic modelling A Thielmann, C Weisser, A Krenz, B Säfken Journal of Applied Statistics 50 (3), 574-591, 2023 | 18 | 2023 |
| One-class support vector machine and LDA topic model integration—Evidence for AI patents A Thielmann, C Weisser, A Krenz Soft computing: Biomedical and related applications, 263-272, 2021 | 8 | 2021 |
| Structural neural additive models: Enhanced interpretable machine learning M Luber, A Thielmann, B Säfken arXiv preprint arXiv:2302.09275, 2023 | 5 | 2023 |
| Coherence based document clustering A Thielmann, C Weisser, T Kneib, B Säfken 2023 IEEE 17th International Conference on Semantic Computing (ICSC), 9-16, 2023 | 5 | 2023 |
| Neural additive models for location scale and shape: A framework for interpretable neural regression beyond the mean AF Thielmann, RM Kruse, T Kneib, B Säfken International Conference on Artificial Intelligence and Statistics, 1783-1791, 2024 | 4 | 2024 |
| Community-detection via hashtag-graphs for semi-supervised NMF topic models M Luber, A Thielmann, C Weisser, B Säfken arXiv preprint arXiv:2111.10401, 2021 | 4 | 2021 |
| Topics in the Haystack: Extracting and Evaluating Topics beyond Coherence A Thielmann, Q Seifert, A Reuter, E Bergherr, B Säfken arXiv preprint arXiv:2303.17324, 2023 | 2 | 2023 |
| Penalized regression splines in mixture density networks QE Seifert, A Thielmann, E Bergherr, B Säfken, J Zierk, M Rauh, T Hepp | 2 | 2022 |
| Human in the loop: How to effectively create coherent topics by manually labeling only a few documents per class A Thielmann, C Weisser, B Säfken arXiv preprint arXiv:2212.09422, 2022 | 2 | 2022 |
| Topics in the Haystack: Enhancing Topic Quality through Corpus Expansion A Thielmann, A Reuter, Q Seifert, E Bergherr, B Säfken Computational Linguistics, 1-36, 2024 | 1 | 2024 |
| Audolab: automatic document labelling and classification for extremely unbalanced data A Tillmann, A Thielmann, G Kant, C Weisser, B Säfken, A Silbersdorff, ... Journal of Open Source Software 6 (66), 3719, 2021 | 1 | 2021 |
| GPTopic: Dynamic and Interactive Topic Representations A Reuter, A Thielmann, C Weisser, S Fischer, B Säfken arXiv preprint arXiv:2403.03628, 2024 | | 2024 |
| Probabilistic Topic Modelling with Transformer Representations A Reuter, A Thielmann, C Weisser, B Säfken, T Kneib arXiv preprint arXiv:2403.03737, 2024 | | 2024 |
Benjamin SäfkenData Science & Statistics, Institute of Mathematics, Clausthal University of TechnologyBestätigte E-Mail-Adresse bei tu-clausthal.de
