Christoph Weisser

According to our database, Christoph Weisser authored at least 25 papers between 2020 and 2026.

Collaborative distances:

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

2026

Quality Without Usefulness: LLM-Generated XAI Narratives as Trust Heuristics Rather Than Decision Aids.

Fabian Lukassen, Jan Herrmann, Christoph Weisser, Alexander Silbersdorff, Benjamin Säfken, Thomas Kneib

CoRR, May, 2026

From Uniform to Learned Knots: A Study of Spline-Based Numerical Encodings for Tabular Deep Learning.

Manish Kumar, Anton Frederik Thielmann, Christoph Weisser, Benjamin Säfken

CoRR, April, 2026

Not All News Is Equal: Topic- and Event-Conditional Sentiment from Finetuned LLMs for Aluminum Price Forecasting.

Alvaro Paredes Amorin, Andre Python, Christoph Weisser

CoRR, March, 2026

LLM-Augmented Changepoint Detection: A Framework for Ensemble Detection and Automated Explanation.

Fabian Lukassen, Christoph Weisser, Michael Schlee, Manish Kumar, Anton Thielmann, Benjamin Säfken, Thomas Kneib

CoRR, January, 2026

From XAI to Stories: A Factorial Study of LLM-Generated Explanation Quality.

Fabian Lukassen, Jan Herrmann, Christoph Weisser, Benjamin Säfken, Thomas Kneib

CoRR, January, 2026

2025

LabelFusion: Learning to Fuse LLMs and Transformer Classifiers for Robust Text Classification.

Michael Schlee, Christoph Weisser, Timo Kivimäki, Melchizedek Mashiku, Benjamin Säfken

CoRR, December, 2025

Fine-tuning of lightweight large language models for sentiment classification on heterogeneous financial textual data.

Alvaro Paredes Amorin, Andre Python, Christoph Weisser

CoRR, December, 2025

Probabilistic Topic Modeling With Transformer Representations.

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

IEEE Trans. Neural Networks Learn. Syst., August, 2025

An iterative topic model filtering framework for short and noisy user-generated data: analyzing conspiracy theories on twitter.

Gillian Kant, Levin Wiebelt, Christoph Weisser, Krisztina Kis-Katos, Mattias Luber, Benjamin Säfken

Int. J. Data Sci. Anal., August, 2025

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

Mambular: A Sequential Model for Tabular Deep Learning.

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

CoRR, 2024

A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery.

Parastoo Semnani, Mihail Bogojeski, Florian Bley, Zizheng Zhang, Qiong Wu, Thomas Kneib, Jan Herrmann, Christoph Weisser, Florina Patcas, Klaus-Robert Müller

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

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 (Volume 2: Short Papers), 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

Coherence based Document Clustering.

Anton Thielmann, Christoph Weisser, Thomas Kneib, Benjamin Säfken

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

2022

Natural language processing and machine learning applications in the social sciences / submitted by Christoph Johannes Weißer, MSc (Oxon).

Christoph Weisser

PhD thesis, 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

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