Detection of NARMA-sequence order using recurrent artificiai neural networks. - Yevgeniy V. Bodyanskiy; Sergiy A. Vorobyov; Andreas Stephan (ECC, 1999)

An Adaptive Learning Algorithm for a Neuro-fuzzy Network. - Yevgeniy V. Bodyanskiy; Vitaliy Kolodyazhniy; Andreas Stephan (Fuzzy Days, 2001)

Combined Learning Algorithm for a Self-Organizing Map with Fuzzy Inference. - Yevgeniy V. Bodyanskiy; Yevgen Gorshkov; Vitaliy Kolodyazhniy; Andreas Stephan (Fuzzy Days, 2004)

Modeling and Testing Product Lines with Unbounded Parametric Real-Time Constraints. - Lars Luthmann; Andreas Stephan; Johannes Bürdek; Malte Lochau (SPLC (A), 2017)

Minimum/maximum delay testing of product lines with unbounded parametric real-time constraints. - Lars Luthmann; Timo Gerecht; Andreas Stephan; Johannes Bürdek; Malte Lochau (J. Syst. Softw., 2019)

Knodle: Modular Weakly Supervised Learning with PyTorch. - Anastasiia Sedova; Andreas Stephan; Marina Speranskaya; Benjamin Roth 001 (RepL4NLP@ACL-IJCNLP, 2021)

SepLL: Separating Latent Class Labels from Weak Supervision Noise. - Andreas Stephan; Vasiliki Kougia; Benjamin Roth 001 (EMNLP (Findings), 2022)

WeaNF: Weak Supervision with Normalizing Flows. - Andreas Stephan; Benjamin Roth 001 (RepL4NLP@ACL, 2022)

Copula-based Black-Litterman portfolio optimization. - Maziar Sahamkhadam; Andreas Stephan; Ralf Östermark (Eur. J. Oper. Res., 2022)

Weaker Than You Think: A Critical Look at Weakly Supervised Learning. - Dawei Zhu; Xiaoyu Shen 001; Marius Mosbach; Andreas Stephan; Dietrich Klakow (ACL (1), 2023)

Seeing through the mess: evolutionary dynamics of lexical polysemy. - Andreas Baumann; Andreas Stephan; Benjamin Roth 001 (EMNLP, 2023)

Towards Enhancing Deep Active Learning with Weak Supervision and Constrained Clustering. - Matthias Aßenmacher; Lukas Rauch; Jann Goschenhofer; Andreas Stephan; Bernd Bischl; Benjamin Roth 001; Bernhard Sick (IAL@PKDD/ECML, 2023)

Weaker Than You Think: A Critical Look atWeakly Supervised Learning. - Dawei Zhu; Xiaoyu Shen 001; Marius Mosbach; Andreas Stephan; Dietrich Klakow (CoRR, 2023)

Analysing zero-shot temporal relation extraction on clinical notes using temporal consistency. - Vasiliki Kougia; Anastasiia Sedova; Andreas Stephan; Klim Zaporojets; Benjamin Roth 001 (BioNLP@ACL, 2024)

Text-Guided Image Clustering. - Andreas Stephan; Lukas Miklautz; Kevin Sidak; Jan Philip Wahle; Bela Gipp; Claudia Plant; Benjamin Roth 001 (EACL (1), 2024)

Counterfactual Reasoning with Knowledge Graph Embeddings. - Lena Zellinger; Andreas Stephan; Benjamin Roth 001 (EACL (1), 2024)

The Impact of Cluster Centroid and Text Review Embeddings on Recommendation Methods. - Peter Dolog; Ylli Sadikaj; Yllka Velaj; Andreas Stephan; Benjamin Roth 001; Claudia Plant (WWW (Companion Volume), 2024)

Text-Guided Alternative Image Clustering. - Andreas Stephan; Lukas Miklautz; Collin Leiber; Pedro Henrique Luz de Araujo; Dominik Répás; Claudia Plant; Benjamin Roth 001 (CoRR, 2024)

From Calculation to Adjudication: Examining LLM judges on Mathematical Reasoning Tasks. - Andreas Stephan; Dawei Zhu; Matthias Aßenmacher; Xiaoyu Shen 001; Benjamin Roth 001 (CoRR, 2024)

Socially responsible multiobjective optimal portfolios. - Maziar Sahamkhadam; Andreas Stephan (J. Oper. Res. Soc., 2024)

Stay Focused: Problem Drift in Multi-Agent Debate. - Jonas Becker; Lars Benedikt Kaesberg; Andreas Stephan; Jan Philip Wahle; Terry Ruas; Bela Gipp (CoRR, 2025)