Benjamin Säfken

36 papers A 1Journal 29Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	EviNAM: Intelligibility and Uncertainty via Evidential Neural Additive Models. CoRR Sören Schleibaum, Anton Frederik Thielmann, Julian Teusch, Benjamin Säfken, Jörg P. Müller
2026	J	`jnl`	From XAI to Stories: A Factorial Study of LLM-Generated Explanation Quality. CoRR Fabian Lukassen, Jan Herrmann, Christoph Weisser, Benjamin Säfken, Thomas Kneib
2026	J	`jnl`	LLM-Augmented Changepoint Detection: A Framework for Ensemble Detection and Automated Explanation. CoRR Fabian Lukassen, Christoph Weisser, Michael Schlee, Manish Kumar, Anton Thielmann, Benjamin Säfken, Thomas Kneib
2025	J	`jnl`	An iterative topic model filtering framework for short and noisy user-generated data: analyzing conspiracy theories on twitter. Int. J. Data Sci. Anal. Gillian Kant, Levin Wiebelt, Christoph Weisser, Krisztina Kis-Katos, Mattias Luber, Benjamin Säfken
2025	J	`jnl`	Beyond Black-Box Predictions: Identifying Marginal Feature Effects in Tabular Transformer Networks. CoRR Anton Thielmann, Arik Reuter, Benjamin Säfken
2025	J	`jnl`	Decoding synthetic news: an interpretable multimodal framework for the classification of news articles in a novel news corpus. Artif. Intell. Rev. Michael Schlee, Gillian Kant, Christoph Ehrling, Benjamin Säfken, Thomas Kneib
2025	J	`jnl`	Enhancing Adaptive Spline Regression: An Evolutionary Approach to Optimal Knot Placement and Smoothing Parameter Selection. J. Comput. Graph. Stat. Anton Thielmann, Thomas Kneib, Benjamin Säfken
2025	J	`jnl`	Gradient-based smoothing parameter estimation for neural P-splines. Comput. Stat. Lea M. Dammann, Marei Freitag, Anton Thielmann, Benjamin Säfken
2025	J	`jnl`	LabelFusion: Learning to Fuse LLMs and Transformer Classifiers for Robust Text Classification. CoRR Michael Schlee, Christoph Weisser, Timo Kivimäki, Melchizedek Mashiku, Benjamin Säfken
2025	J	`jnl`	Probabilistic Topic Modeling With Transformer Representations. IEEE Trans. Neural Networks Learn. Syst. Arik Reuter, Anton Thielmann, Christoph Weisser, Benjamin Säfken, Thomas Kneib
2024	J	`jnl`	GPTopic: Dynamic and Interactive Topic Representations. CoRR Arik Reuter, Anton Thielmann, Christoph Weisser, Sebastian Fischer, Benjamin Säfken
2024	—	`conf`	Human in the Loop: How to Effectively Create Coherent Topics by Manually Labeling Only a Few Documents per Class. LREC/COLING Anton Frederik Thielmann, Christoph Weisser, Benjamin Säfken
2024	J	`jnl`	Interpretable Additive Tabular Transformer Networks. Trans. Mach. Learn. Res. Anton Frederik Thielmann, Arik Reuter, Thomas Kneib, David Rügamer, Benjamin Säfken
2024	J	`jnl`	Mambular: A Sequential Model for Tabular Deep Learning. CoRR Anton Frederik Thielmann, Manish Kumar, Christoph Weisser, Arik Reuter, Benjamin Säfken, Soheila Samiee
2024	J	`jnl`	Neural Additive Image Model: Interpretation through Interpolation. CoRR Arik Reuter, Anton Thielmann, Benjamin Säfken
2024	A	`conf`	Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the Mean. AISTATS Anton Frederik Thielmann, René-Marcel Kruse, Thomas Kneib, Benjamin Säfken
2024	J	`jnl`	One-way ticket to the moon? An NLP-based insight on the phenomenon of small-scale neo-broker trading. Soc. Netw. Anal. Min. Gillian Kant, Ivan Zhelyazkov, Anton Thielmann, Christoph Weisser, Michael Schlee, Christoph Ehrling, Benjamin Säfken, Thomas Kneib
2024	J	`jnl`	Probabilistic Topic Modelling with Transformer Representations. CoRR Arik Reuter, Anton Thielmann, Christoph Weisser, Benjamin Säfken, Thomas Kneib
2024	J	`jnl`	SIRITVIS: Social Interaction Research Insights Topic Visualisation. J. Open Source Softw. Sagar Narwade, Gillian Kant, Benjamin Säfken, Benjamin Leiding
2024	—	`conf`	STREAM: Simplified Topic Retrieval, Exploration, and Analysis Module. ACL (Short Papers) Anton Thielmann, Arik Reuter, Christoph Weisser, Gillian Kant, Manish Kumar, Benjamin Säfken
2024	J	`jnl`	Topics in the Haystack: Enhancing Topic Quality through Corpus Expansion. Comput. Linguistics Anton Thielmann, Arik Reuter, Quentin Seifert, Elisabeth Bergherr, Benjamin Säfken
2023	—	`conf`	Coherence based Document Clustering. ICSC Anton Thielmann, Christoph Weisser, Thomas Kneib, Benjamin Säfken
2023	—	`conf`	Explaining Taxi Demand Prediction Models Based on Feature Importance. ECAI Workshops (1) Eric Loff, Sören Schleibaum, Jörg P. Müller, Benjamin Säfken
2023	J	`jnl`	Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the Mean. CoRR Anton Thielmann, René-Marcel Kruse, Thomas Kneib, Benjamin Säfken
2023	J	`jnl`	Pseudo-document simulation for comparing LDA, GSDMM and GPM topic models on short and sparse text using Twitter data. Comput. Stat. Christoph Weisser, Christoph Gerloff, Anton Thielmann, Andre Python, Arik Reuter, Thomas Kneib, Benjamin Säfken
2023	J	`jnl`	Structural Neural Additive Models: Enhanced Interpretable Machine Learning. CoRR Mattias Luber, Anton Thielmann, Benjamin Säfken
2023	J	`jnl`	Topics in the Haystack: Extracting and Evaluating Topics beyond Coherence. CoRR Anton Thielmann, Quentin Seifert, Arik Reuter, Elisabeth Bergherr, Benjamin Säfken
2022	J	`jnl`	Human in the loop: How to effectively create coherent topics by manually labeling only a few documents per class. CoRR Anton Thielmann, Christoph Weisser, Benjamin Säfken
2022	J	`jnl`	Model averaging for linear mixed models via augmented Lagrangian. Comput. Stat. Data Anal. René-Marcel Kruse, Alexander Silbersdorff, Benjamin Säfken
2022	—	`conf`	Privacy Estimation on Twitter: Modelling the Effect of Latent Topics on Privacy by Integrating XGBoost, Topic and Generalized Additive Models. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta Arne Tillmann, Lindrit Kqiku, Delphine Reinhardt, Christoph Weisser, Benjamin Säfken, Thomas Kneib
2022	J	`jnl`	Twitmo: A Twitter Data Topic Modeling and Visualization Package for R. CoRR Andreas Buchmüller, Gillian Kant, Christoph Weisser, Benjamin Säfken, Krisztina Kis-Katos, Thomas Kneib
2021	J	`jnl`	AuDoLab: Automatic document labelling and classification for extremely unbalanced data. J. Open Source Softw. Arne Tillmann, Anton Thielmann, Gillian Kant, Christoph Weisser, Benjamin Säfken, Alexander Silbersdorff, Thomas Kneib
2021	J	`jnl`	Community-Detection via Hashtag-Graphs for Semi-Supervised NMF Topic Models. CoRR Mattias Luber, Anton Thielmann, Christoph Weisser, Benjamin Säfken
2021	J	`jnl`	Conditional Model Selection in Mixed-Effects Models with cAIC4. J. Stat. Softw. Benjamin Säfken, David Rügamer, Thomas Kneib, Sonja Greven
2021	—	`conf`	Identifying Topical Shifts in Twitter Streams: An Integration of Non-negative Matrix Factorisation, Sentiment Analysis and Structural Break Models for Large Scale Data. MISDOOM Mattias Luber, Christoph Weisser, Benjamin Säfken, Alexander Silbersdorff, Thomas Kneib, Krisztina Kis-Katos
2020	J	`jnl`	TTLocVis: A Twitter Topic Location Visualization Package. J. Open Source Softw. Gillian Kant, Christoph Weisser, Benjamin Säfken