PUBLIKATIONSSERVER

Christoph Weisser

https://orcid.org/0000-0003-0616-1027

36 Publikationen

Alle markieren

[36]
2026 | Artikel | FH-PUB-ID: 6961
Lukassen, F., Herrmann, J., Weisser, C., Säfken, B., & Kneib, T. (2026). From XAI to Stories: A Factorial Study of LLM-Generated Explanation Quality. Preprint. https://doi.org/10.48550/arXiv.2601.02224
HSBI-PUB | DOI
 
[35]
2026 | Artikel | FH-PUB-ID: 6960
Lukassen, F., Weisser, C., Schlee, M., Kumar, M., Thielmann, A., Säfken, B., … Silbersdorff, A. (2026). LLM-Augmented Change Point Detection: A Methodological Framework for Ensemble Detection and Automated Explanation. Preprint. https://doi.org/10.48550/arXiv.2601.02957
HSBI-PUB | DOI
 
[34]
2026 | Artikel | FH-PUB-ID: 6959
Schlee, M., Kivimaki, T., Mashiku, Melchizedek, Weisser, C., & Säfken, B. (2026). LabelFusion: Fusing Large Language Models With Transformer Encoders for Robust Financial News Classification. Preprint. https://doi.org/10.48550/arXiv.2512.10793
HSBI-PUB | DOI
 
[33]
2026 | Artikel | FH-PUB-ID: 6958
Kumar, M., Thielmann, A. F., Weisser, C., & Säfken, B. (2026). From Uniform to Learned Knots: A Study of Spline-Based Numerical Encodings for Tabular Deep Learning. Preprint. https://doi.org/10.48550/arXiv.2604.05635
HSBI-PUB | DOI
 
[32]
2026 | Artikel | FH-PUB-ID: 6957 | OA
Amorin, A. P., Python, A., & Weisser, C. (2026). Not All News Is Equal: Topic- and Event-Conditional Sentiment From Finetuned LLMs for Aluminum Price Forecasting. Preprint. https://doi.org/10.48550/arXiv.2603.09085
HSBI-PUB | DOI | Download (ext.)
 
[31]
2026 | Artikel | FH-PUB-ID: 6924 | OA
Berger, U., Biehler, R., Binder, K., Elmer, C., Ertz, F., Hotz, T., … Weisser, C. (2026). Daten, Künstliche Intelligenz und Evidenz - neue Anforderungen an die Statistikausbildung an Hochschulen: Diskussion und Erwiderung. AStA Wirtschafts- und Sozialstatistisches Archiv. https://doi.org/10.1007/s11943-026-00372-0
HSBI-PUB | DOI | Download (ext.)
 
[30]
2025 | Artikel | FH-PUB-ID: 6962 | OA
Amorin, A. P., Python, A., & Weisser, C. (2025). Fine-Tuning of Lightweight Large Language Models for Sentiment Classification on Heterogeneous Financial Textual Data. Preprint. https://doi.org/10.48550/arXiv.2512.00946
HSBI-PUB | DOI | Download (ext.)
 
[29]
2025 | Konferenzbeitrag | FH-PUB-ID: 6966 | OA
Semnani, P., Bogojeski, M., Bley, F., Zhang, Z., Wu, Q., Kneib, T., … Müller, K. R. (2025). 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: Openreview.
HSBI-PUB | Download (ext.)
 
[28]
2025 | Artikel | FH-PUB-ID: 6920
Reuter, A., Thielmann, A., Weisser, C., Säfken, B., & Kneib, T. (2025). Probabilistic Topic Modelling With Transformer Representations. IEEE Transactions on Neural Networks and Learning Systems, 36(8), 14551–14565. https://doi.org/10.1109/TNNLS.2025.3538262
HSBI-PUB | DOI
 
[27]
2025 | Artikel | FH-PUB-ID: 6919 | OA
Kant, G., Alkaher, T., Kivimaki, T., & Weisser, C. (2025). The Word and the Bullet: Out-Grouping and Threat Framing as Predictors of Islamic State Targeting, 2015-2020. Terrorism and Political Violence. https://doi.org/10.1080/09546553.2025.2561194
HSBI-PUB | DOI | Download (ext.)
 
[26]
2024 | Konferenzbeitrag | FH-PUB-ID: 6942 | OA
Thielmann, A., Weisser, C., & Säfken, B. (2024). Human in the Loop: How to Effectively Create Coherent Topics by Manually Labelling Only a Few Documents per Class. In N. Calzolari, Min-Yen Kan, V. Hoste, A. Lenci, S. Sakti, & N. Xue (Eds.), Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING) (pp. 8395–8405). Torino, Italia: Elra And Iccl.
HSBI-PUB | Download (ext.)
 
[25]
2024 | Artikel | FH-PUB-ID: 6963
Thielmann, A. F., Kumar, M., Weisser, C., Reuter, A., Säfken, B., & Samiee, S. (2024). Mambular: A Sequential Model for Tabular Deep Learning. Preprint. https://doi.org/10.48550/arXiv.2408.06291
HSBI-PUB | DOI
 
[24]
2024 | Artikel | FH-PUB-ID: 6964 | OA
Reuter, A., Thielmann, A., Weisser, C., Fischer, S., Säfken, B., & Khadka, B. (2024). GPTopic: Dynamic and Interactive Topic Representations. Preprint. https://doi.org/10.48550/arXiv.2403.03628
HSBI-PUB | DOI | Download (ext.)
 
[23]
2024 | Artikel | FH-PUB-ID: 6965
Stemmler, H., Lenel, F., Kis-Katos, K., & Weisser, C. (2024). Solar Technology as a Shock-Coping Device: Evidence From Rural Tanzania. Preprint. https://doi.org/10.2139/ssrn.5046518
HSBI-PUB | DOI
 
[22]
2024 | Artikel | FH-PUB-ID: 6943 | OA
Kant, G., Zhelyazkov, I., Thielmann, A., Weisser, C., Schlee, M., Ehrling, C., … Kneib, T. (2024). One-Way Ticket to the Moon? An NLP-Based Insight on the Phenomenon of Small-Scale Neo-Broker Trading. Social Network Analysis and Mining, 14. https://doi.org/10.1007/s13278-024-01273-2
HSBI-PUB | DOI | Download (ext.)
 
[21]
2024 | Konferenzbeitrag | FH-PUB-ID: 6922
Thielmann, A. F., Reuter, A., Weisser, C., Säfken, B., Kant, G., & Kumar, M. (2024). STREAM: Simplified Topic Retrieval, Exploration, and Analysis Module. In L.-W. Ku, A. Martins, & V. Srikumar (Eds.), Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), Volume 2: Short Papers (Vol. 2, pp. 435–444). Bangkok, thailand: Association For Computational Linguistics. https://doi.org/10.18653/v1/2024.acl-short.41
HSBI-PUB | DOI
 
[20]
2024 | Artikel | FH-PUB-ID: 6921 | OA
Semnani, P., Bogojeski, M., Bley, F., Zhang, Z., Wu, Q., Kneib, T., … Müller, K.-R. (2024). A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery. Journal of Physical Chemistry C, 128(50), 21349–21367. https://doi.org/10.1021/acs.jpcc.4c05332
HSBI-PUB | DOI | Download (ext.)
 
[19]
2023 | Artikel | FH-PUB-ID: 6944 | OA
Weisser, C., Gerloff, C., Thielmann, A., Säfken, B., Python, A., Kneib, T., & Reuter, A. (2023). Pseudo-Document Simulation Method for Topic Model Evaluation on Short and Sparse Text Using Twitter Data. Computational Statistics, 38(4), 647–674. https://doi.org/10.1007/s00180-022-01246-z
HSBI-PUB | DOI | Download (ext.)
 
[18]
2022 | Artikel | FH-PUB-ID: 6967 | OA
Buchmüller, A., Kant, G., Weisser, C., Säfken, B., Kis-Katos, K., & Kneib, T. (2022). Twitmo: A Twitter Data Topic Modeling and Visualization Package for R. Preprint. https://doi.org/10.48550/arXiv.2207.11236
HSBI-PUB | DOI | Download (ext.)
 
[17]
2022 | Konferenzbeitrag | FH-PUB-ID: 6945
Tillmann, A., Kqiku, L., Reinhardt, D., Weisser, C., Säfken, B., & Kneib, T. (2022). Privacy Estimation on Twitter: Modelling the Effect of Latent Topics on Privacy by Integrating XGBoost, Topic and Generalized Additive Models. In The Institute of Electrical and Electronics Engineers, Inc. (Ed.), Proceedings of the 2022 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles, IoP, & SCI (pp. 2325–2332). Piscataway, nj: Ieee. https://doi.org/10.1109/SmartWorld-UIC-ATC-ScalCom-DigitalTwin-PriComp-Metaverse56740.2022.00365
HSBI-PUB | DOI
 
[16]
2022 | Artikel | FH-PUB-ID: 6946 | OA
Seufert, J. D., Python, A., Weisser, C., Cisneros, E., Kis-Katos, K., & Kneib, T. (2022). 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, 185(4), 2121–2155. https://doi.org/10.1111/rssa.12866
HSBI-PUB | DOI | Download (ext.)
 
[15]
2022 | Artikel | FH-PUB-ID: 6947 | OA
Kant, G., Weisser, C., Luber, M., Wiebelt, L., Kis-Katos, K., & Säfken, B. (2022). Iterative Topic Model Filtering to Detect Conspiracy Theories on Twitter. International Journal of Data Science and Analytics. https://doi.org/10.1007/s41060-022-00321-4
HSBI-PUB | DOI | Download (ext.)
 
[14]
2022 | Buchbeitrag | FH-PUB-ID: 6948
Kant, G., Weisser, C., Kneib, T., & Säfken, B. (2022). Topic Model-Machine Learning Classifier Integrations on Geocoded Twitter Data. In Nguyen Hoang Phuong & V. Kreinovich (Eds.), Biomedical and Other Applications of Soft Computing. Cham: Springer. https://doi.org/10.1007/978-3-031-08580-2_11
HSBI-PUB | DOI
 
[13]
2021 | Artikel | FH-PUB-ID: 6968 | OA
Luber, M., Thielmann, A., Weisser, C., & Säfken, B. (2021). Community Detection via Hashtag-Graphs for Semi-Supervised NMF Topic Models. Preprint. https://doi.org/10.48550/arXiv.2111.10401
HSBI-PUB | DOI | Download (ext.)
 
[12]
2021 | Buch als Herausgeber | FH-PUB-ID: 6970 | OA
Kruse , R.-M., Säfken, B., Silbersdorff , A., & Weisser, C. (Eds.). (2021). Learning Deep Textwork: Perspectives on Natural Language Processing and Artificial Intelligence. Göttingen University Press. https://doi.org/10.17875/gup2021-1608
HSBI-PUB | DOI | Download (ext.)
 
[11]
2021 | Artikel | FH-PUB-ID: 6955 | OA
Thormann, M.-L., Farchmin, J., Weisser, C., Kruse, R.-M., Säfken, B., & Silbersdorff, A. (2021). Stock Price Predictions With LSTM Neural Networks and Twitter Sentiment. Statistics, Optimization & Information Computing, 9(2), 268–287. https://doi.org/10.19139/soic-2310-5070-1202
HSBI-PUB | DOI | Download (ext.)
 
[10]
2021 | Konferenzbeitrag | FH-PUB-ID: 6951
Luber, M., Weisser, C., Säfken, B., Silbersdorff, A., Kneib, T., & Kis-Katos, K. (2021). Identifying Topical Shifts in Twitter Streams: An Integration of Non-Negative Matrix Factorisation, Sentiment Analysis, and Structural Break Models for Large-Scale Data. In J. Bright, A. Giachanou, V. Spaiser, F. Spezzano, A. George, & A. Pavliuc (Eds.), Disinformation in Open Online Media. MISDOOM 2021 (pp. 33–49). Cham: Springer. https://doi.org/10.1007/978-3-030-87031-7_3
HSBI-PUB | DOI
 
[9]
2021 | Artikel | FH-PUB-ID: 6950 | OA
Weisser, C., Lenel, F., Lu, Y., Kis-Katos, K., & Kneib, T. (2021). Using Solar Panels for Business Purposes: Evidence Based on High-Frequency Power Usage Data. Development Engineering, 6. https://doi.org/10.1016/j.deveng.2021.100074
HSBI-PUB | DOI | Download (ext.)
 
[8]
2021 | Artikel | FH-PUB-ID: 6949
Thielmann, A., Weisser, C., Krenz, A., & Säfken, B. (2021). Unsupervised Document Classification Integrating Web-Mining, One-Class SVM, and LDA Topic Modeling. Journal of Applied Statistics, 50(3), 574–591. https://doi.org/10.1080/02664763.2021.1919063
HSBI-PUB | DOI
 
[7]
2021 | Artikel | FH-PUB-ID: 6953
Aydin, M., Weisser, C., Rué, O., Mariadassou, M., Maaß, S., Behrendt, A.-K., … Wirth, S. (2021). The Rhinobiome of Exacerbated Wheezers and Asthmatics: Insights From a German Pediatric Exacerbation Network. Frontiers in Allergy, 2. https://doi.org/10.3389/falgy.2021.667562
HSBI-PUB | DOI
 
[6]
2021 | Buchbeitrag | FH-PUB-ID: 6952
Thielmann, A., Weisser, C., & Krenz, A. (2021). One-Class Support Vector Machine and LDA Topic Model Integration: Evidence for AI Patents. In N. H. Phuong & V. Kreinovich (Eds.), Soft Computing for Biomedical and Related Applications (Vol. Vol. 981, pp. 263–272). Cham: Springer. https://doi.org/10.1007/978-3-030-76620-7_23
HSBI-PUB | DOI
 
[5]
2021 | Artikel | FH-PUB-ID: 6954 | OA
Tillmann, A., Thielmann, A., Kant, G., Weisser, C., Säfken, B., Silbersdorff, A., & Kneib, T. (2021). AuDoLab: Automatic Document Labeling and Classification for Extremely Unbalanced Data. Journal of Open Source Software, 6(66). https://doi.org/10.21105/joss.03719
HSBI-PUB | DOI | Download (ext.)
 
[4]
2020 | Buch als Herausgeber | FH-PUB-ID: 6971 | OA
Säfken, B., Silbersdorff, A., & Weisser, C. (Eds.). (2020). Learning Deep: Perspectives on Deep Learning Algorithms and Artificial Intelligence. Göttingen University Press. https://doi.org/10.17875/gup2020-1338
HSBI-PUB | DOI | Download (ext.)
 
[3]
2020 | Artikel | FH-PUB-ID: 6956 | OA
Kant, G., Weisser, C., & Säfken, B. (2020). TTLocVis: A Twitter Topic Location Visualization Package. Journal of Open Source Software, 5(54). https://doi.org/10.21105/joss.02507
HSBI-PUB | DOI | Download (ext.)
 
[2]
2014 | Diskussionspapier | FH-PUB-ID: 6972
Weisser, C. (2014). 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.
HSBI-PUB | Dateien verfügbar
 
[1]
2013 | Diskussionspapier | FH-PUB-ID: 6973
Weisser, C. (2013). Hedonic Founded Cleaning of the Estimated Property Value in the Micro Survey Panel on Household Finances by Linear Stochastic Imputation. Deutsche Bundesbank.
HSBI-PUB
 
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36 Publikationen

Alle markieren

[36]
2026 | Artikel | FH-PUB-ID: 6961
Lukassen, F., Herrmann, J., Weisser, C., Säfken, B., & Kneib, T. (2026). From XAI to Stories: A Factorial Study of LLM-Generated Explanation Quality. Preprint. https://doi.org/10.48550/arXiv.2601.02224
HSBI-PUB | DOI
 
[35]
2026 | Artikel | FH-PUB-ID: 6960
Lukassen, F., Weisser, C., Schlee, M., Kumar, M., Thielmann, A., Säfken, B., … Silbersdorff, A. (2026). LLM-Augmented Change Point Detection: A Methodological Framework for Ensemble Detection and Automated Explanation. Preprint. https://doi.org/10.48550/arXiv.2601.02957
HSBI-PUB | DOI
 
[34]
2026 | Artikel | FH-PUB-ID: 6959
Schlee, M., Kivimaki, T., Mashiku, Melchizedek, Weisser, C., & Säfken, B. (2026). LabelFusion: Fusing Large Language Models With Transformer Encoders for Robust Financial News Classification. Preprint. https://doi.org/10.48550/arXiv.2512.10793
HSBI-PUB | DOI
 
[33]
2026 | Artikel | FH-PUB-ID: 6958
Kumar, M., Thielmann, A. F., Weisser, C., & Säfken, B. (2026). From Uniform to Learned Knots: A Study of Spline-Based Numerical Encodings for Tabular Deep Learning. Preprint. https://doi.org/10.48550/arXiv.2604.05635
HSBI-PUB | DOI
 
[32]
2026 | Artikel | FH-PUB-ID: 6957 | OA
Amorin, A. P., Python, A., & Weisser, C. (2026). Not All News Is Equal: Topic- and Event-Conditional Sentiment From Finetuned LLMs for Aluminum Price Forecasting. Preprint. https://doi.org/10.48550/arXiv.2603.09085
HSBI-PUB | DOI | Download (ext.)
 
[31]
2026 | Artikel | FH-PUB-ID: 6924 | OA
Berger, U., Biehler, R., Binder, K., Elmer, C., Ertz, F., Hotz, T., … Weisser, C. (2026). Daten, Künstliche Intelligenz und Evidenz - neue Anforderungen an die Statistikausbildung an Hochschulen: Diskussion und Erwiderung. AStA Wirtschafts- und Sozialstatistisches Archiv. https://doi.org/10.1007/s11943-026-00372-0
HSBI-PUB | DOI | Download (ext.)
 
[30]
2025 | Artikel | FH-PUB-ID: 6962 | OA
Amorin, A. P., Python, A., & Weisser, C. (2025). Fine-Tuning of Lightweight Large Language Models for Sentiment Classification on Heterogeneous Financial Textual Data. Preprint. https://doi.org/10.48550/arXiv.2512.00946
HSBI-PUB | DOI | Download (ext.)
 
[29]
2025 | Konferenzbeitrag | FH-PUB-ID: 6966 | OA
Semnani, P., Bogojeski, M., Bley, F., Zhang, Z., Wu, Q., Kneib, T., … Müller, K. R. (2025). 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: Openreview.
HSBI-PUB | Download (ext.)
 
[28]
2025 | Artikel | FH-PUB-ID: 6920
Reuter, A., Thielmann, A., Weisser, C., Säfken, B., & Kneib, T. (2025). Probabilistic Topic Modelling With Transformer Representations. IEEE Transactions on Neural Networks and Learning Systems, 36(8), 14551–14565. https://doi.org/10.1109/TNNLS.2025.3538262
HSBI-PUB | DOI
 
[27]
2025 | Artikel | FH-PUB-ID: 6919 | OA
Kant, G., Alkaher, T., Kivimaki, T., & Weisser, C. (2025). The Word and the Bullet: Out-Grouping and Threat Framing as Predictors of Islamic State Targeting, 2015-2020. Terrorism and Political Violence. https://doi.org/10.1080/09546553.2025.2561194
HSBI-PUB | DOI | Download (ext.)
 
[26]
2024 | Konferenzbeitrag | FH-PUB-ID: 6942 | OA
Thielmann, A., Weisser, C., & Säfken, B. (2024). Human in the Loop: How to Effectively Create Coherent Topics by Manually Labelling Only a Few Documents per Class. In N. Calzolari, Min-Yen Kan, V. Hoste, A. Lenci, S. Sakti, & N. Xue (Eds.), Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING) (pp. 8395–8405). Torino, Italia: Elra And Iccl.
HSBI-PUB | Download (ext.)
 
[25]
2024 | Artikel | FH-PUB-ID: 6963
Thielmann, A. F., Kumar, M., Weisser, C., Reuter, A., Säfken, B., & Samiee, S. (2024). Mambular: A Sequential Model for Tabular Deep Learning. Preprint. https://doi.org/10.48550/arXiv.2408.06291
HSBI-PUB | DOI
 
[24]
2024 | Artikel | FH-PUB-ID: 6964 | OA
Reuter, A., Thielmann, A., Weisser, C., Fischer, S., Säfken, B., & Khadka, B. (2024). GPTopic: Dynamic and Interactive Topic Representations. Preprint. https://doi.org/10.48550/arXiv.2403.03628
HSBI-PUB | DOI | Download (ext.)
 
[23]
2024 | Artikel | FH-PUB-ID: 6965
Stemmler, H., Lenel, F., Kis-Katos, K., & Weisser, C. (2024). Solar Technology as a Shock-Coping Device: Evidence From Rural Tanzania. Preprint. https://doi.org/10.2139/ssrn.5046518
HSBI-PUB | DOI
 
[22]
2024 | Artikel | FH-PUB-ID: 6943 | OA
Kant, G., Zhelyazkov, I., Thielmann, A., Weisser, C., Schlee, M., Ehrling, C., … Kneib, T. (2024). One-Way Ticket to the Moon? An NLP-Based Insight on the Phenomenon of Small-Scale Neo-Broker Trading. Social Network Analysis and Mining, 14. https://doi.org/10.1007/s13278-024-01273-2
HSBI-PUB | DOI | Download (ext.)
 
[21]
2024 | Konferenzbeitrag | FH-PUB-ID: 6922
Thielmann, A. F., Reuter, A., Weisser, C., Säfken, B., Kant, G., & Kumar, M. (2024). STREAM: Simplified Topic Retrieval, Exploration, and Analysis Module. In L.-W. Ku, A. Martins, & V. Srikumar (Eds.), Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), Volume 2: Short Papers (Vol. 2, pp. 435–444). Bangkok, thailand: Association For Computational Linguistics. https://doi.org/10.18653/v1/2024.acl-short.41
HSBI-PUB | DOI
 
[20]
2024 | Artikel | FH-PUB-ID: 6921 | OA
Semnani, P., Bogojeski, M., Bley, F., Zhang, Z., Wu, Q., Kneib, T., … Müller, K.-R. (2024). A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery. Journal of Physical Chemistry C, 128(50), 21349–21367. https://doi.org/10.1021/acs.jpcc.4c05332
HSBI-PUB | DOI | Download (ext.)
 
[19]
2023 | Artikel | FH-PUB-ID: 6944 | OA
Weisser, C., Gerloff, C., Thielmann, A., Säfken, B., Python, A., Kneib, T., & Reuter, A. (2023). Pseudo-Document Simulation Method for Topic Model Evaluation on Short and Sparse Text Using Twitter Data. Computational Statistics, 38(4), 647–674. https://doi.org/10.1007/s00180-022-01246-z
HSBI-PUB | DOI | Download (ext.)
 
[18]
2022 | Artikel | FH-PUB-ID: 6967 | OA
Buchmüller, A., Kant, G., Weisser, C., Säfken, B., Kis-Katos, K., & Kneib, T. (2022). Twitmo: A Twitter Data Topic Modeling and Visualization Package for R. Preprint. https://doi.org/10.48550/arXiv.2207.11236
HSBI-PUB | DOI | Download (ext.)
 
[17]
2022 | Konferenzbeitrag | FH-PUB-ID: 6945
Tillmann, A., Kqiku, L., Reinhardt, D., Weisser, C., Säfken, B., & Kneib, T. (2022). Privacy Estimation on Twitter: Modelling the Effect of Latent Topics on Privacy by Integrating XGBoost, Topic and Generalized Additive Models. In The Institute of Electrical and Electronics Engineers, Inc. (Ed.), Proceedings of the 2022 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles, IoP, & SCI (pp. 2325–2332). Piscataway, nj: Ieee. https://doi.org/10.1109/SmartWorld-UIC-ATC-ScalCom-DigitalTwin-PriComp-Metaverse56740.2022.00365
HSBI-PUB | DOI
 
[16]
2022 | Artikel | FH-PUB-ID: 6946 | OA
Seufert, J. D., Python, A., Weisser, C., Cisneros, E., Kis-Katos, K., & Kneib, T. (2022). 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, 185(4), 2121–2155. https://doi.org/10.1111/rssa.12866
HSBI-PUB | DOI | Download (ext.)
 
[15]
2022 | Artikel | FH-PUB-ID: 6947 | OA
Kant, G., Weisser, C., Luber, M., Wiebelt, L., Kis-Katos, K., & Säfken, B. (2022). Iterative Topic Model Filtering to Detect Conspiracy Theories on Twitter. International Journal of Data Science and Analytics. https://doi.org/10.1007/s41060-022-00321-4
HSBI-PUB | DOI | Download (ext.)
 
[14]
2022 | Buchbeitrag | FH-PUB-ID: 6948
Kant, G., Weisser, C., Kneib, T., & Säfken, B. (2022). Topic Model-Machine Learning Classifier Integrations on Geocoded Twitter Data. In Nguyen Hoang Phuong & V. Kreinovich (Eds.), Biomedical and Other Applications of Soft Computing. Cham: Springer. https://doi.org/10.1007/978-3-031-08580-2_11
HSBI-PUB | DOI
 
[13]
2021 | Artikel | FH-PUB-ID: 6968 | OA
Luber, M., Thielmann, A., Weisser, C., & Säfken, B. (2021). Community Detection via Hashtag-Graphs for Semi-Supervised NMF Topic Models. Preprint. https://doi.org/10.48550/arXiv.2111.10401
HSBI-PUB | DOI | Download (ext.)
 
[12]
2021 | Buch als Herausgeber | FH-PUB-ID: 6970 | OA
Kruse , R.-M., Säfken, B., Silbersdorff , A., & Weisser, C. (Eds.). (2021). Learning Deep Textwork: Perspectives on Natural Language Processing and Artificial Intelligence. Göttingen University Press. https://doi.org/10.17875/gup2021-1608
HSBI-PUB | DOI | Download (ext.)
 
[11]
2021 | Artikel | FH-PUB-ID: 6955 | OA
Thormann, M.-L., Farchmin, J., Weisser, C., Kruse, R.-M., Säfken, B., & Silbersdorff, A. (2021). Stock Price Predictions With LSTM Neural Networks and Twitter Sentiment. Statistics, Optimization & Information Computing, 9(2), 268–287. https://doi.org/10.19139/soic-2310-5070-1202
HSBI-PUB | DOI | Download (ext.)
 
[10]
2021 | Konferenzbeitrag | FH-PUB-ID: 6951
Luber, M., Weisser, C., Säfken, B., Silbersdorff, A., Kneib, T., & Kis-Katos, K. (2021). Identifying Topical Shifts in Twitter Streams: An Integration of Non-Negative Matrix Factorisation, Sentiment Analysis, and Structural Break Models for Large-Scale Data. In J. Bright, A. Giachanou, V. Spaiser, F. Spezzano, A. George, & A. Pavliuc (Eds.), Disinformation in Open Online Media. MISDOOM 2021 (pp. 33–49). Cham: Springer. https://doi.org/10.1007/978-3-030-87031-7_3
HSBI-PUB | DOI
 
[9]
2021 | Artikel | FH-PUB-ID: 6950 | OA
Weisser, C., Lenel, F., Lu, Y., Kis-Katos, K., & Kneib, T. (2021). Using Solar Panels for Business Purposes: Evidence Based on High-Frequency Power Usage Data. Development Engineering, 6. https://doi.org/10.1016/j.deveng.2021.100074
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[8]
2021 | Artikel | FH-PUB-ID: 6949
Thielmann, A., Weisser, C., Krenz, A., & Säfken, B. (2021). Unsupervised Document Classification Integrating Web-Mining, One-Class SVM, and LDA Topic Modeling. Journal of Applied Statistics, 50(3), 574–591. https://doi.org/10.1080/02664763.2021.1919063
HSBI-PUB | DOI
 
[7]
2021 | Artikel | FH-PUB-ID: 6953
Aydin, M., Weisser, C., Rué, O., Mariadassou, M., Maaß, S., Behrendt, A.-K., … Wirth, S. (2021). The Rhinobiome of Exacerbated Wheezers and Asthmatics: Insights From a German Pediatric Exacerbation Network. Frontiers in Allergy, 2. https://doi.org/10.3389/falgy.2021.667562
HSBI-PUB | DOI
 
[6]
2021 | Buchbeitrag | FH-PUB-ID: 6952
Thielmann, A., Weisser, C., & Krenz, A. (2021). One-Class Support Vector Machine and LDA Topic Model Integration: Evidence for AI Patents. In N. H. Phuong & V. Kreinovich (Eds.), Soft Computing for Biomedical and Related Applications (Vol. Vol. 981, pp. 263–272). Cham: Springer. https://doi.org/10.1007/978-3-030-76620-7_23
HSBI-PUB | DOI
 
[5]
2021 | Artikel | FH-PUB-ID: 6954 | OA
Tillmann, A., Thielmann, A., Kant, G., Weisser, C., Säfken, B., Silbersdorff, A., & Kneib, T. (2021). AuDoLab: Automatic Document Labeling and Classification for Extremely Unbalanced Data. Journal of Open Source Software, 6(66). https://doi.org/10.21105/joss.03719
HSBI-PUB | DOI | Download (ext.)
 
[4]
2020 | Buch als Herausgeber | FH-PUB-ID: 6971 | OA
Säfken, B., Silbersdorff, A., & Weisser, C. (Eds.). (2020). Learning Deep: Perspectives on Deep Learning Algorithms and Artificial Intelligence. Göttingen University Press. https://doi.org/10.17875/gup2020-1338
HSBI-PUB | DOI | Download (ext.)
 
[3]
2020 | Artikel | FH-PUB-ID: 6956 | OA
Kant, G., Weisser, C., & Säfken, B. (2020). TTLocVis: A Twitter Topic Location Visualization Package. Journal of Open Source Software, 5(54). https://doi.org/10.21105/joss.02507
HSBI-PUB | DOI | Download (ext.)
 
[2]
2014 | Diskussionspapier | FH-PUB-ID: 6972
Weisser, C. (2014). 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.
HSBI-PUB | Dateien verfügbar
 
[1]
2013 | Diskussionspapier | FH-PUB-ID: 6973
Weisser, C. (2013). Hedonic Founded Cleaning of the Estimated Property Value in the Micro Survey Panel on Household Finances by Linear Stochastic Imputation. Deutsche Bundesbank.
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