36 Publikationen
2026 | Artikel | FH-PUB-ID: 6957 |
A. P. Amorin, A. Python, and C. Weisser, “Not All News Is Equal: Topic- and Event-Conditional Sentiment From Finetuned LLMs for Aluminum Price Forecasting,” Preprint, 2026.
HSBI-PUB
| DOI
| Download (ext.)
2026 | Artikel | FH-PUB-ID: 6924 |
U. Berger et al., “Daten, Künstliche Intelligenz und Evidenz - neue Anforderungen an die Statistikausbildung an Hochschulen: Diskussion und Erwiderung,” AStA Wirtschafts- und Sozialstatistisches Archiv, 2026.
HSBI-PUB
| DOI
| Download (ext.)
2025 | Artikel | FH-PUB-ID: 6962 |
A. P. Amorin, A. Python, and C. Weisser, “Fine-Tuning of Lightweight Large Language Models for Sentiment Classification on Heterogeneous Financial Textual Data,” Preprint, 2025.
HSBI-PUB
| DOI
| Download (ext.)
2025 | Konferenzbeitrag | FH-PUB-ID: 6966 |
P. Semnani et al., “From Prediction to Proposal in Catalysis: Robust Evaluation, LRP Explanations, and Relevance-Guided Candidate Generation,” presented at the European Conference on Neural Information Processing Systems (EurIPS) Workshop: SimBioChem 2025, Copenhagen, Denmark, 2025.
HSBI-PUB
| Download (ext.)
2025 | Artikel | FH-PUB-ID: 6919 |
G. Kant, T. Alkaher, T. Kivimaki, and C. Weisser, “The Word and the Bullet: Out-Grouping and Threat Framing as Predictors of Islamic State Targeting, 2015-2020,” Terrorism and Political Violence, 2025.
HSBI-PUB
| DOI
| Download (ext.)
2024 | Konferenzbeitrag | FH-PUB-ID: 6942 |
A. Thielmann, C. Weisser, and B. Säfken, “Human in the Loop: How to Effectively Create Coherent Topics by Manually Labelling Only a Few Documents per Class,” in Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), Torino, Italia, 2024, pp. 8395–8405.
HSBI-PUB
| Download (ext.)
2024 | Artikel | FH-PUB-ID: 6964 |
A. Reuter, A. Thielmann, C. Weisser, S. Fischer, B. Säfken, and B. Khadka, “GPTopic: Dynamic and Interactive Topic Representations,” Preprint, 2024.
HSBI-PUB
| DOI
| Download (ext.)
2024 | Artikel | FH-PUB-ID: 6943 |
G. Kant et al., “One-Way Ticket to the Moon? An NLP-Based Insight on the Phenomenon of Small-Scale Neo-Broker Trading,” Social Network Analysis and Mining, vol. 14, 2024.
HSBI-PUB
| DOI
| Download (ext.)
2024 | Konferenzbeitrag | FH-PUB-ID: 6922
A. F. Thielmann, A. Reuter, C. Weisser, B. Säfken, G. Kant, and M. Kumar, “STREAM: Simplified Topic Retrieval, Exploration, and Analysis Module,” in Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), Volume 2: Short Papers, Bangkok, Thailand, 2024, vol. 2, pp. 435–444.
HSBI-PUB
| DOI
2024 | Artikel | FH-PUB-ID: 6921 |
P. Semnani et al., “A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery,” Journal of Physical Chemistry C, vol. 128, no. 50, pp. 21349–21367, 2024.
HSBI-PUB
| DOI
| Download (ext.)
2023 | Artikel | FH-PUB-ID: 6944 |
C. Weisser et al., “Pseudo-Document Simulation Method for Topic Model Evaluation on Short and Sparse Text Using Twitter Data,” Computational Statistics, vol. 38, no. 4, pp. 647–674, 2023.
HSBI-PUB
| DOI
| Download (ext.)
2022 | Artikel | FH-PUB-ID: 6967 |
A. Buchmüller, G. Kant, C. Weisser, B. Säfken, K. Kis-Katos, and T. Kneib, “Twitmo: A Twitter Data Topic Modeling and Visualization Package for R,” Preprint, 2022.
HSBI-PUB
| DOI
| Download (ext.)
2022 | Konferenzbeitrag | FH-PUB-ID: 6945
A. Tillmann, L. Kqiku, D. Reinhardt, C. Weisser, B. Säfken, and T. Kneib, “Privacy Estimation on Twitter: Modelling the Effect of Latent Topics on Privacy by Integrating XGBoost, Topic and Generalized Additive Models,” in Proceedings of the 2022 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles, IoP, & SCI, Haikou, China, 2022, pp. 2325–2332.
HSBI-PUB
| DOI
2022 | Artikel | FH-PUB-ID: 6946 |
J. D. Seufert, A. Python, C. Weisser, E. Cisneros, K. Kis-Katos, and T. Kneib, “Mapping Ex-Ante Risks of COVID-19 in Indonesia Using a Bayesian Geostatistical Model on Airport Network Data,” Journal of the Royal Statistical Society Series A: Statistics in Society, vol. 185, no. 4, pp. 2121–2155, 2022.
HSBI-PUB
| DOI
| Download (ext.)
2022 | Artikel | FH-PUB-ID: 6947 |
G. Kant, C. Weisser, M. Luber, L. Wiebelt, K. Kis-Katos, and B. Säfken, “Iterative Topic Model Filtering to Detect Conspiracy Theories on Twitter,” International Journal of Data Science and Analytics, 2022.
HSBI-PUB
| DOI
| Download (ext.)
2022 | Buchbeitrag | FH-PUB-ID: 6948
G. Kant, C. Weisser, T. Kneib, and B. Säfken, “Topic Model-Machine Learning Classifier Integrations on Geocoded Twitter Data,” in Biomedical and Other Applications of Soft Computing, Nguyen Hoang Phuong and V. Kreinovich, Eds. Cham: Springer, 2022.
HSBI-PUB
| DOI
2021 | Artikel | FH-PUB-ID: 6968 |
M. Luber, A. Thielmann, C. Weisser, and B. Säfken, “Community Detection via Hashtag-Graphs for Semi-Supervised NMF Topic Models,” Preprint, 2021.
HSBI-PUB
| DOI
| Download (ext.)
2021 | Buch als Herausgeber | FH-PUB-ID: 6970 |
R.-M. Kruse , B. Säfken, A. Silbersdorff , and C. Weisser, Eds., Learning Deep Textwork: Perspectives on Natural Language Processing and Artificial Intelligence. Göttingen University Press, 2021.
HSBI-PUB
| DOI
| Download (ext.)
2021 | Artikel | FH-PUB-ID: 6955 |
M.-L. Thormann, J. Farchmin, C. Weisser, R.-M. Kruse, B. Säfken, and A. Silbersdorff, “Stock Price Predictions With LSTM Neural Networks and Twitter Sentiment,” Statistics, Optimization & Information Computing, vol. 9, no. 2, pp. 268–287, 2021.
HSBI-PUB
| DOI
| Download (ext.)
2021 | Konferenzbeitrag | FH-PUB-ID: 6951
M. Luber, C. Weisser, B. Säfken, A. Silbersdorff, T. Kneib, and K. Kis-Katos, “Identifying Topical Shifts in Twitter Streams: An Integration of Non-Negative Matrix Factorisation, Sentiment Analysis, and Structural Break Models for Large-Scale Data,” in Disinformation in Open Online Media. MISDOOM 2021, Virtual Event, 2021, pp. 33–49.
HSBI-PUB
| DOI
2021 | Artikel | FH-PUB-ID: 6950 |
C. Weisser, F. Lenel, Y. Lu, K. Kis-Katos, and T. Kneib, “Using Solar Panels for Business Purposes: Evidence Based on High-Frequency Power Usage Data,” Development Engineering, vol. 6, 2021.
HSBI-PUB
| DOI
| Download (ext.)
2021 | Buchbeitrag | FH-PUB-ID: 6952
A. Thielmann, C. Weisser, and A. Krenz, “One-Class Support Vector Machine and LDA Topic Model Integration: Evidence for AI Patents,” in Soft Computing for Biomedical and Related Applications, vol. Vol. 981, N. H. Phuong and V. Kreinovich, Eds. Cham: Springer, 2021, pp. 263–272.
HSBI-PUB
| DOI
2021 | Artikel | FH-PUB-ID: 6954 |
A. Tillmann et al., “AuDoLab: Automatic Document Labeling and Classification for Extremely Unbalanced Data,” Journal of Open Source Software, vol. 6, no. 66, 2021.
HSBI-PUB
| DOI
| Download (ext.)
2020 | Buch als Herausgeber | FH-PUB-ID: 6971 |
B. Säfken, A. Silbersdorff, and C. Weisser, Eds., Learning Deep: Perspectives on Deep Learning Algorithms and Artificial Intelligence. Göttingen University Press, 2020.
HSBI-PUB
| DOI
| Download (ext.)
2020 | Artikel | FH-PUB-ID: 6956 |
G. Kant, C. Weisser, and B. Säfken, “TTLocVis: A Twitter Topic Location Visualization Package,” Journal of Open Source Software, vol. 5, no. 54, 2020.
HSBI-PUB
| DOI
| Download (ext.)
2014 | Diskussionspapier | FH-PUB-ID: 6972
C. Weisser, Replication in the Narrow Sense of “Financial Stability, the Trilemma, and International Reserves” (Obstfeld, Shambaugh, & Taylor, 2010), vol. 01/2014. Institut Für Statistik Und Ökonometrie, 2014.
HSBI-PUB
| Dateien verfügbar
2013 | Diskussionspapier | FH-PUB-ID: 6973
C. Weisser, Hedonic Founded Cleaning of the Estimated Property Value in the Micro Survey Panel on Household Finances by Linear Stochastic Imputation. Deutsche Bundesbank, 2013.
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36 Publikationen
2026 | Artikel | FH-PUB-ID: 6957 |
A. P. Amorin, A. Python, and C. Weisser, “Not All News Is Equal: Topic- and Event-Conditional Sentiment From Finetuned LLMs for Aluminum Price Forecasting,” Preprint, 2026.
HSBI-PUB
| DOI
| Download (ext.)
2026 | Artikel | FH-PUB-ID: 6924 |
U. Berger et al., “Daten, Künstliche Intelligenz und Evidenz - neue Anforderungen an die Statistikausbildung an Hochschulen: Diskussion und Erwiderung,” AStA Wirtschafts- und Sozialstatistisches Archiv, 2026.
HSBI-PUB
| DOI
| Download (ext.)
2025 | Artikel | FH-PUB-ID: 6962 |
A. P. Amorin, A. Python, and C. Weisser, “Fine-Tuning of Lightweight Large Language Models for Sentiment Classification on Heterogeneous Financial Textual Data,” Preprint, 2025.
HSBI-PUB
| DOI
| Download (ext.)
2025 | Konferenzbeitrag | FH-PUB-ID: 6966 |
P. Semnani et al., “From Prediction to Proposal in Catalysis: Robust Evaluation, LRP Explanations, and Relevance-Guided Candidate Generation,” presented at the European Conference on Neural Information Processing Systems (EurIPS) Workshop: SimBioChem 2025, Copenhagen, Denmark, 2025.
HSBI-PUB
| Download (ext.)
2025 | Artikel | FH-PUB-ID: 6919 |
G. Kant, T. Alkaher, T. Kivimaki, and C. Weisser, “The Word and the Bullet: Out-Grouping and Threat Framing as Predictors of Islamic State Targeting, 2015-2020,” Terrorism and Political Violence, 2025.
HSBI-PUB
| DOI
| Download (ext.)
2024 | Konferenzbeitrag | FH-PUB-ID: 6942 |
A. Thielmann, C. Weisser, and B. Säfken, “Human in the Loop: How to Effectively Create Coherent Topics by Manually Labelling Only a Few Documents per Class,” in Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), Torino, Italia, 2024, pp. 8395–8405.
HSBI-PUB
| Download (ext.)
2024 | Artikel | FH-PUB-ID: 6964 |
A. Reuter, A. Thielmann, C. Weisser, S. Fischer, B. Säfken, and B. Khadka, “GPTopic: Dynamic and Interactive Topic Representations,” Preprint, 2024.
HSBI-PUB
| DOI
| Download (ext.)
2024 | Artikel | FH-PUB-ID: 6943 |
G. Kant et al., “One-Way Ticket to the Moon? An NLP-Based Insight on the Phenomenon of Small-Scale Neo-Broker Trading,” Social Network Analysis and Mining, vol. 14, 2024.
HSBI-PUB
| DOI
| Download (ext.)
2024 | Konferenzbeitrag | FH-PUB-ID: 6922
A. F. Thielmann, A. Reuter, C. Weisser, B. Säfken, G. Kant, and M. Kumar, “STREAM: Simplified Topic Retrieval, Exploration, and Analysis Module,” in Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), Volume 2: Short Papers, Bangkok, Thailand, 2024, vol. 2, pp. 435–444.
HSBI-PUB
| DOI
2024 | Artikel | FH-PUB-ID: 6921 |
P. Semnani et al., “A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery,” Journal of Physical Chemistry C, vol. 128, no. 50, pp. 21349–21367, 2024.
HSBI-PUB
| DOI
| Download (ext.)
2023 | Artikel | FH-PUB-ID: 6944 |
C. Weisser et al., “Pseudo-Document Simulation Method for Topic Model Evaluation on Short and Sparse Text Using Twitter Data,” Computational Statistics, vol. 38, no. 4, pp. 647–674, 2023.
HSBI-PUB
| DOI
| Download (ext.)
2022 | Artikel | FH-PUB-ID: 6967 |
A. Buchmüller, G. Kant, C. Weisser, B. Säfken, K. Kis-Katos, and T. Kneib, “Twitmo: A Twitter Data Topic Modeling and Visualization Package for R,” Preprint, 2022.
HSBI-PUB
| DOI
| Download (ext.)
2022 | Konferenzbeitrag | FH-PUB-ID: 6945
A. Tillmann, L. Kqiku, D. Reinhardt, C. Weisser, B. Säfken, and T. Kneib, “Privacy Estimation on Twitter: Modelling the Effect of Latent Topics on Privacy by Integrating XGBoost, Topic and Generalized Additive Models,” in Proceedings of the 2022 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles, IoP, & SCI, Haikou, China, 2022, pp. 2325–2332.
HSBI-PUB
| DOI
2022 | Artikel | FH-PUB-ID: 6946 |
J. D. Seufert, A. Python, C. Weisser, E. Cisneros, K. Kis-Katos, and T. Kneib, “Mapping Ex-Ante Risks of COVID-19 in Indonesia Using a Bayesian Geostatistical Model on Airport Network Data,” Journal of the Royal Statistical Society Series A: Statistics in Society, vol. 185, no. 4, pp. 2121–2155, 2022.
HSBI-PUB
| DOI
| Download (ext.)
2022 | Artikel | FH-PUB-ID: 6947 |
G. Kant, C. Weisser, M. Luber, L. Wiebelt, K. Kis-Katos, and B. Säfken, “Iterative Topic Model Filtering to Detect Conspiracy Theories on Twitter,” International Journal of Data Science and Analytics, 2022.
HSBI-PUB
| DOI
| Download (ext.)
2022 | Buchbeitrag | FH-PUB-ID: 6948
G. Kant, C. Weisser, T. Kneib, and B. Säfken, “Topic Model-Machine Learning Classifier Integrations on Geocoded Twitter Data,” in Biomedical and Other Applications of Soft Computing, Nguyen Hoang Phuong and V. Kreinovich, Eds. Cham: Springer, 2022.
HSBI-PUB
| DOI
2021 | Artikel | FH-PUB-ID: 6968 |
M. Luber, A. Thielmann, C. Weisser, and B. Säfken, “Community Detection via Hashtag-Graphs for Semi-Supervised NMF Topic Models,” Preprint, 2021.
HSBI-PUB
| DOI
| Download (ext.)
2021 | Buch als Herausgeber | FH-PUB-ID: 6970 |
R.-M. Kruse , B. Säfken, A. Silbersdorff , and C. Weisser, Eds., Learning Deep Textwork: Perspectives on Natural Language Processing and Artificial Intelligence. Göttingen University Press, 2021.
HSBI-PUB
| DOI
| Download (ext.)
2021 | Artikel | FH-PUB-ID: 6955 |
M.-L. Thormann, J. Farchmin, C. Weisser, R.-M. Kruse, B. Säfken, and A. Silbersdorff, “Stock Price Predictions With LSTM Neural Networks and Twitter Sentiment,” Statistics, Optimization & Information Computing, vol. 9, no. 2, pp. 268–287, 2021.
HSBI-PUB
| DOI
| Download (ext.)
2021 | Konferenzbeitrag | FH-PUB-ID: 6951
M. Luber, C. Weisser, B. Säfken, A. Silbersdorff, T. Kneib, and K. Kis-Katos, “Identifying Topical Shifts in Twitter Streams: An Integration of Non-Negative Matrix Factorisation, Sentiment Analysis, and Structural Break Models for Large-Scale Data,” in Disinformation in Open Online Media. MISDOOM 2021, Virtual Event, 2021, pp. 33–49.
HSBI-PUB
| DOI
2021 | Artikel | FH-PUB-ID: 6950 |
C. Weisser, F. Lenel, Y. Lu, K. Kis-Katos, and T. Kneib, “Using Solar Panels for Business Purposes: Evidence Based on High-Frequency Power Usage Data,” Development Engineering, vol. 6, 2021.
HSBI-PUB
| DOI
| Download (ext.)
2021 | Buchbeitrag | FH-PUB-ID: 6952
A. Thielmann, C. Weisser, and A. Krenz, “One-Class Support Vector Machine and LDA Topic Model Integration: Evidence for AI Patents,” in Soft Computing for Biomedical and Related Applications, vol. Vol. 981, N. H. Phuong and V. Kreinovich, Eds. Cham: Springer, 2021, pp. 263–272.
HSBI-PUB
| DOI
2021 | Artikel | FH-PUB-ID: 6954 |
A. Tillmann et al., “AuDoLab: Automatic Document Labeling and Classification for Extremely Unbalanced Data,” Journal of Open Source Software, vol. 6, no. 66, 2021.
HSBI-PUB
| DOI
| Download (ext.)
2020 | Buch als Herausgeber | FH-PUB-ID: 6971 |
B. Säfken, A. Silbersdorff, and C. Weisser, Eds., Learning Deep: Perspectives on Deep Learning Algorithms and Artificial Intelligence. Göttingen University Press, 2020.
HSBI-PUB
| DOI
| Download (ext.)
2020 | Artikel | FH-PUB-ID: 6956 |
G. Kant, C. Weisser, and B. Säfken, “TTLocVis: A Twitter Topic Location Visualization Package,” Journal of Open Source Software, vol. 5, no. 54, 2020.
HSBI-PUB
| DOI
| Download (ext.)
2014 | Diskussionspapier | FH-PUB-ID: 6972
C. Weisser, Replication in the Narrow Sense of “Financial Stability, the Trilemma, and International Reserves” (Obstfeld, Shambaugh, & Taylor, 2010), vol. 01/2014. Institut Für Statistik Und Ökonometrie, 2014.
HSBI-PUB
| Dateien verfügbar
2013 | Diskussionspapier | FH-PUB-ID: 6973
C. Weisser, Hedonic Founded Cleaning of the Estimated Property Value in the Micro Survey Panel on Household Finances by Linear Stochastic Imputation. Deutsche Bundesbank, 2013.
HSBI-PUB