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36 Publikationen

Alle markieren

[36]
2026 | Artikel | FH-PUB-ID: 6961
F. Lukassen, J. Herrmann, C. Weisser, B. Säfken, and T. Kneib, “From XAI to Stories: A Factorial Study of LLM-Generated Explanation Quality,” Preprint, 2026.
HSBI-PUB | DOI
 
[35]
2026 | Artikel | FH-PUB-ID: 6960
F. Lukassen et al., “LLM-Augmented Change Point Detection: A Methodological Framework for Ensemble Detection and Automated Explanation,” Preprint, 2026.
HSBI-PUB | DOI
 
[34]
2026 | Artikel | FH-PUB-ID: 6959
M. Schlee, T. Kivimaki, Melchizedek Mashiku, C. Weisser, and B. Säfken, “LabelFusion: Fusing Large Language Models With Transformer Encoders for Robust Financial News Classification,” Preprint, 2026.
HSBI-PUB | DOI
 
[33]
2026 | Artikel | FH-PUB-ID: 6958
M. Kumar, A. F. Thielmann, C. Weisser, and B. Säfken, “From Uniform to Learned Knots: A Study of Spline-Based Numerical Encodings for Tabular Deep Learning,” Preprint, 2026.
HSBI-PUB | DOI
 
[32]
2026 | Artikel | FH-PUB-ID: 6957 | OA
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.)
 
[31]
2026 | Artikel | FH-PUB-ID: 6924 | OA
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.)
 
[30]
2025 | Artikel | FH-PUB-ID: 6962 | OA
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.)
 
[29]
2025 | Konferenzbeitrag | FH-PUB-ID: 6966 | OA
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.)
 
[28]
2025 | Artikel | FH-PUB-ID: 6920
A. Reuter, A. Thielmann, C. Weisser, B. Säfken, and T. Kneib, “Probabilistic Topic Modelling With Transformer Representations,” IEEE Transactions on Neural Networks and Learning Systems, vol. 36, no. 8, pp. 14551–14565, 2025.
HSBI-PUB | DOI
 
[27]
2025 | Artikel | FH-PUB-ID: 6919 | OA
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.)
 
[26]
2024 | Konferenzbeitrag | FH-PUB-ID: 6942 | OA
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.)
 
[25]
2024 | Artikel | FH-PUB-ID: 6963
A. F. Thielmann, M. Kumar, C. Weisser, A. Reuter, B. Säfken, and S. Samiee, “Mambular: A Sequential Model for Tabular Deep Learning,” Preprint, 2024.
HSBI-PUB | DOI
 
[24]
2024 | Artikel | FH-PUB-ID: 6964 | OA
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.)
 
[23]
2024 | Artikel | FH-PUB-ID: 6965
H. Stemmler, F. Lenel, K. Kis-Katos, and C. Weisser, “Solar Technology as a Shock-Coping Device: Evidence From Rural Tanzania,” Preprint, 2024.
HSBI-PUB | DOI
 
[22]
2024 | Artikel | FH-PUB-ID: 6943 | OA
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.)
 
[21]
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
 
[20]
2024 | Artikel | FH-PUB-ID: 6921 | OA
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.)
 
[19]
2023 | Artikel | FH-PUB-ID: 6944 | OA
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.)
 
[18]
2022 | Artikel | FH-PUB-ID: 6967 | OA
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.)
 
[17]
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
 
[16]
2022 | Artikel | FH-PUB-ID: 6946 | OA
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.)
 
[15]
2022 | Artikel | FH-PUB-ID: 6947 | OA
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.)
 
[14]
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
 
[13]
2021 | Artikel | FH-PUB-ID: 6968 | OA
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.)
 
[12]
2021 | Buch als Herausgeber | FH-PUB-ID: 6970 | OA
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.)
 
[11]
2021 | Artikel | FH-PUB-ID: 6955 | OA
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.)
 
[10]
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
 
[9]
2021 | Artikel | FH-PUB-ID: 6950 | OA
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.)
 
[8]
2021 | Artikel | FH-PUB-ID: 6949
A. Thielmann, C. Weisser, A. Krenz, and B. Säfken, “Unsupervised Document Classification Integrating Web-Mining, One-Class SVM, and LDA Topic Modeling,” Journal of Applied Statistics, vol. 50, no. 3, pp. 574–591, 2021.
HSBI-PUB | DOI
 
[7]
2021 | Artikel | FH-PUB-ID: 6953
M. Aydin et al., “The Rhinobiome of Exacerbated Wheezers and Asthmatics: Insights From a German Pediatric Exacerbation Network,” Frontiers in Allergy, vol. 2, 2021.
HSBI-PUB | DOI
 
[6]
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
 
[5]
2021 | Artikel | FH-PUB-ID: 6954 | OA
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.)
 
[4]
2020 | Buch als Herausgeber | FH-PUB-ID: 6971 | OA
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.)
 
[3]
2020 | Artikel | FH-PUB-ID: 6956 | OA
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.)
 
[2]
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
 
[1]
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
 

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Publikationen filtern

Darstellung / Sortierung

Zitationsstil: IEEE

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36 Publikationen

Alle markieren

[36]
2026 | Artikel | FH-PUB-ID: 6961
F. Lukassen, J. Herrmann, C. Weisser, B. Säfken, and T. Kneib, “From XAI to Stories: A Factorial Study of LLM-Generated Explanation Quality,” Preprint, 2026.
HSBI-PUB | DOI
 
[35]
2026 | Artikel | FH-PUB-ID: 6960
F. Lukassen et al., “LLM-Augmented Change Point Detection: A Methodological Framework for Ensemble Detection and Automated Explanation,” Preprint, 2026.
HSBI-PUB | DOI
 
[34]
2026 | Artikel | FH-PUB-ID: 6959
M. Schlee, T. Kivimaki, Melchizedek Mashiku, C. Weisser, and B. Säfken, “LabelFusion: Fusing Large Language Models With Transformer Encoders for Robust Financial News Classification,” Preprint, 2026.
HSBI-PUB | DOI
 
[33]
2026 | Artikel | FH-PUB-ID: 6958
M. Kumar, A. F. Thielmann, C. Weisser, and B. Säfken, “From Uniform to Learned Knots: A Study of Spline-Based Numerical Encodings for Tabular Deep Learning,” Preprint, 2026.
HSBI-PUB | DOI
 
[32]
2026 | Artikel | FH-PUB-ID: 6957 | OA
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.)
 
[31]
2026 | Artikel | FH-PUB-ID: 6924 | OA
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.)
 
[30]
2025 | Artikel | FH-PUB-ID: 6962 | OA
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.)
 
[29]
2025 | Konferenzbeitrag | FH-PUB-ID: 6966 | OA
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.)
 
[28]
2025 | Artikel | FH-PUB-ID: 6920
A. Reuter, A. Thielmann, C. Weisser, B. Säfken, and T. Kneib, “Probabilistic Topic Modelling With Transformer Representations,” IEEE Transactions on Neural Networks and Learning Systems, vol. 36, no. 8, pp. 14551–14565, 2025.
HSBI-PUB | DOI
 
[27]
2025 | Artikel | FH-PUB-ID: 6919 | OA
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.)
 
[26]
2024 | Konferenzbeitrag | FH-PUB-ID: 6942 | OA
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.)
 
[25]
2024 | Artikel | FH-PUB-ID: 6963
A. F. Thielmann, M. Kumar, C. Weisser, A. Reuter, B. Säfken, and S. Samiee, “Mambular: A Sequential Model for Tabular Deep Learning,” Preprint, 2024.
HSBI-PUB | DOI
 
[24]
2024 | Artikel | FH-PUB-ID: 6964 | OA
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.)
 
[23]
2024 | Artikel | FH-PUB-ID: 6965
H. Stemmler, F. Lenel, K. Kis-Katos, and C. Weisser, “Solar Technology as a Shock-Coping Device: Evidence From Rural Tanzania,” Preprint, 2024.
HSBI-PUB | DOI
 
[22]
2024 | Artikel | FH-PUB-ID: 6943 | OA
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.)
 
[21]
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
 
[20]
2024 | Artikel | FH-PUB-ID: 6921 | OA
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.)
 
[19]
2023 | Artikel | FH-PUB-ID: 6944 | OA
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.)
 
[18]
2022 | Artikel | FH-PUB-ID: 6967 | OA
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.)
 
[17]
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
 
[16]
2022 | Artikel | FH-PUB-ID: 6946 | OA
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.)
 
[15]
2022 | Artikel | FH-PUB-ID: 6947 | OA
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.)
 
[14]
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
 
[13]
2021 | Artikel | FH-PUB-ID: 6968 | OA
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.)
 
[12]
2021 | Buch als Herausgeber | FH-PUB-ID: 6970 | OA
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.)
 
[11]
2021 | Artikel | FH-PUB-ID: 6955 | OA
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.)
 
[10]
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
 
[9]
2021 | Artikel | FH-PUB-ID: 6950 | OA
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.)
 
[8]
2021 | Artikel | FH-PUB-ID: 6949
A. Thielmann, C. Weisser, A. Krenz, and B. Säfken, “Unsupervised Document Classification Integrating Web-Mining, One-Class SVM, and LDA Topic Modeling,” Journal of Applied Statistics, vol. 50, no. 3, pp. 574–591, 2021.
HSBI-PUB | DOI
 
[7]
2021 | Artikel | FH-PUB-ID: 6953
M. Aydin et al., “The Rhinobiome of Exacerbated Wheezers and Asthmatics: Insights From a German Pediatric Exacerbation Network,” Frontiers in Allergy, vol. 2, 2021.
HSBI-PUB | DOI
 
[6]
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
 
[5]
2021 | Artikel | FH-PUB-ID: 6954 | OA
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.)
 
[4]
2020 | Buch als Herausgeber | FH-PUB-ID: 6971 | OA
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.)
 
[3]
2020 | Artikel | FH-PUB-ID: 6956 | OA
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.)
 
[2]
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
 
[1]
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
 

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Publikationen filtern

Darstellung / Sortierung

Zitationsstil: IEEE

Export / Einbettung