Benjamin Säfken

According to our database, Benjamin Säfken authored at least 23 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

One-way ticket to the moon? An NLP-based insight on the phenomenon of small-scale neo-broker trading.

Gillian Kant, Ivan Zhelyazkov, Anton Thielmann, Christoph Weisser, Michael Schlee, Christoph Ehrling, Benjamin Säfken, Thomas Kneib

Soc. Netw. Anal. Min., December, 2024

Interpretable Additive Tabular Transformer Networks.

Anton Frederik Thielmann, Arik Reuter, Thomas Kneib, David Rügamer, Benjamin Säfken

Trans. Mach. Learn. Res., 2024

SIRITVIS: Social Interaction Research Insights Topic Visualisation.

Sagar Narwade, Gillian Kant, Benjamin Säfken, Benjamin Leiding

J. Open Source Softw., 2024

Mambular: A Sequential Model for Tabular Deep Learning.

Anton Frederik Thielmann, Manish Kumar, Christoph Weisser, Arik Reuter, Benjamin Säfken, Soheila Samiee

CoRR, 2024

Neural Additive Image Model: Interpretation through Interpolation.

Arik Reuter, Anton Thielmann, Benjamin Säfken

CoRR, 2024

Probabilistic Topic Modelling with Transformer Representations.

Arik Reuter, Anton Thielmann, Christoph Weisser, Benjamin Säfken, Thomas Kneib

CoRR, 2024

GPTopic: Dynamic and Interactive Topic Representations.

Arik Reuter, Anton Thielmann, Christoph Weisser, Sebastian Fischer, Benjamin Säfken

CoRR, 2024

Human in the Loop: How to Effectively Create Coherent Topics by Manually Labeling Only a Few Documents per Class.

Anton Frederik Thielmann, Christoph Weisser, Benjamin Säfken

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the Mean.

Anton Frederik Thielmann, René-Marcel Kruse, Thomas Kneib, Benjamin Säfken

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

STREAM: Simplified Topic Retrieval, Exploration, and Analysis Module.

Anton Thielmann, Arik Reuter, Christoph Weisser, Gillian Kant, Manish Kumar, Benjamin Säfken

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

2023

Pseudo-document simulation for comparing LDA, GSDMM and GPM topic models on short and sparse text using Twitter data.

Christoph Weisser, Christoph Gerloff, Anton Thielmann, Andre Python, Arik Reuter, Thomas Kneib, Benjamin Säfken

Comput. Stat., June, 2023

Topics in the Haystack: Extracting and Evaluating Topics beyond Coherence.

Anton Thielmann, Quentin Seifert, Arik Reuter, Elisabeth Bergherr, Benjamin Säfken

CoRR, 2023

Structural Neural Additive Models: Enhanced Interpretable Machine Learning.

Mattias Luber, Anton Thielmann, Benjamin Säfken

CoRR, 2023

Coherence based Document Clustering.

Anton Thielmann, Christoph Weisser, Thomas Kneib, Benjamin Säfken

Proceedings of the 17th IEEE International Conference on Semantic Computing, 2023

Explaining Taxi Demand Prediction Models Based on Feature Importance.

Eric Loff, Sören Schleibaum, Jörg P. Müller, Benjamin Säfken

Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023

2022

Model averaging for linear mixed models via augmented Lagrangian.

René-Marcel Kruse, Alexander Silbersdorff, Benjamin Säfken

Comput. Stat. Data Anal., 2022

Twitmo: A Twitter Data Topic Modeling and Visualization Package for R.

Andreas Buchmüller, Gillian Kant, Christoph Weisser, Benjamin Säfken, Krisztina Kis-Katos, Thomas Kneib

CoRR, 2022

Privacy Estimation on Twitter: Modelling the Effect of Latent Topics on Privacy by Integrating XGBoost, Topic and Generalized Additive Models.

Arne Tillmann, Lindrit Kqiku, Delphine Reinhardt, Christoph Weisser, Benjamin Säfken, Thomas Kneib

Proceedings of the IEEE Smartworld, 2022

2021

Conditional Model Selection in Mixed-Effects Models with cAIC4.

Benjamin Säfken, David Rügamer, Thomas Kneib, Sonja Greven

J. Stat. Softw., 2021

AuDoLab: Automatic document labelling and classification for extremely unbalanced data.

Arne Tillmann, Anton Thielmann, Gillian Kant, Christoph Weisser, Benjamin Säfken, Alexander Silbersdorff, Thomas Kneib

J. Open Source Softw., 2021

Community-Detection via Hashtag-Graphs for Semi-Supervised NMF Topic Models.

Mattias Luber, Anton Thielmann, Christoph Weisser, Benjamin Säfken

CoRR, 2021

Identifying Topical Shifts in Twitter Streams: An Integration of Non-negative Matrix Factorisation, Sentiment Analysis and Structural Break Models for Large Scale Data.

Mattias Luber, Christoph Weisser, Benjamin Säfken, Alexander Silbersdorff, Thomas Kneib, Krisztina Kis-Katos

Proceedings of the Disinformation in Open Online Media, 2021

2020

TTLocVis: A Twitter Topic Location Visualization Package.

Gillian Kant, Christoph Weisser, Benjamin Säfken

J. Open Source Softw., 2020