| Stock Price Predictions with LSTM Neural Networks and Twitter Sentiment A Thormann, M.-L., Farchmin, J., Weisser, C., Kruse, R.-M., Säfken, B ... Statistics, Optimization & Information Computing, 2021 | 29 | 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 (Special Issue: Statistical Approaches for Big …, 2021 | 18 | 2021 |
| TTLocVis: A Twitter Topic Location Visualization Package G Kant, C Weisser, B Säfken Journal of Open Source Software, 2020 | 17 | 2020 |
| The rhinobiome of exacerbated wheezers and asthmatics: insights from a German pediatric exacerbation network M Aydin, C Weisser, O Rué, M Mariadassou, S Maaß, AK Behrendt, ... Frontiers in Allergy 2, 667562, 2021 | 10 | 2021 |
| One-Class Support Vector Machine and LDA Topic Model Integration—Evidence for AI Patents A Thielmann, C Weisser, A Krenz Springer Soft Computing, 2021 | 8 | 2021 |
| An iterative topic model filtering framework for short and noisy user-generated data: analyzing conspiracy theories on twitter G Kant, L Wiebelt, C Weisser, K Kis-Katos, M Luber, B Säfken International Journal of Data Science and Analytics, 1-21, 2022 | 7 | 2022 |
| Coherence based Document Clustering A Thielmann, C Weisser, T Kneib, B Säfken 2023 IEEE 17th International Conference on Semantic Computing (ICSC), 2023 | 5 | 2023 |
| Community-Detection via Hashtag-Graphs for Semi-Supervised NMF Topic Models M Luber, A Thielmann, C Weisser, B Saefken arXiv:2111.10401, 2021 | 4 | 2021 |
| Using solar panels for business purposes: Evidence based on high-frequency power usage data C Weisser, F Lenel, Y Lu, K Kis-Katos, T Kneib Development Engineering 6, 100074, 2021 | 3 | 2021 |
| Human in the loop: How to effectively create coherent topics by manually labeling only a few documents per class A Thielmann, B Säfken, C Weisser arXiv:2212.09422, 2022 | 2 | 2022 |
| Identifying Topical Shifts in Twitter Streams: An Integration of Non-negative Matrix Factorisation, Sentiment Analysis and Structural Break Models for Large Scale Data M Luber, C Weisser, B Säfken, A Silbersdorff, T Kneib, K Kis-Katos Springer Lecture Notes in Computer Science, MISDOOM, Oxford Internet Institute, 2021 | 2 | 2021 |
| Learning deep: Perspectives on Deep Learning Algorithms and Artificial Intelligence B Säfken, A Silbersdorff, C Weisser Universitätsverlag Göttingen, 2020 | 2* | 2020 |
| Replication in the narrow sense of'Financial Stability, the Trilemma, and International Reserves'(Obstfeld, Shambaugh & Taylor 2010) C Weißer Replication Working Papers, 2014 | 2 | 2014 |
| Privacy Estimation on Twitter: Modelling the Effect of Latent Topics on Privacy by Integrating XGBoost, Topic and Generalized Additive Models A Tillmann, L Kqiku, D Reinhardt, C Weisser, B Säfken, T Kneib 2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable …, 2022 | 1 | 2022 |
| Topic Model—Machine Learning Classifier Integrations on Geocoded Twitter Data G Kant, C Weisser, T Kneib, B Säfken Biomedical and Other Applications of Soft Computing, 105-120, 2022 | 1 | 2022 |
| Twitmo: A Twitter Data Topic Modeling and Visualization Package for R A Buchmüller, G Kant, C Weisser, B Säfken, K Kis-Katos, T Kneib arXiv:2207.11236, 2022 | 1 | 2022 |
| Mapping ex ante risks of COVID-19 in Indonesia using a Bayesian geostatistical model on airport network data JD Seufert, A Python, C Weisser, E Cisneros, K Kis-Katos, T Kneib Journal of the Royal Statistical Society: Series A, 2022 | 1 | 2022 |
| AuDoLab Automatic document labelling and classification for extremely unbalanced data T Tillmann, A., Thielmann, A, Kant, G., Weisser, C., Säfken, B ... Journal of Open Source Software, 2021 | 1 | 2021 |
| Hedonic Founded Cleaning of the Estimated Property Value in the Micro Survey Panel on Household Finances by Linear Stochastic Imputation C Weisser Working Paper Deutsche Bundesbank Research Centre, 2013 | 1 | 2013 |
Benjamin SäfkenData Science & Statistics, Institute of Mathematics, Clausthal University of TechnologyBestätigte E-Mail-Adresse bei tu-clausthal.de
