Andreas Stephan

According to our database, Andreas Stephan authored at least 20 papers between 1999 and 2024.

Collaborative distances:

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

2024

Socially responsible multiobjective optimal portfolios.

Maziar Sahamkhadam, Andreas Stephan

J. Oper. Res. Soc., October, 2024

From Calculation to Adjudication: Examining LLM judges on Mathematical Reasoning Tasks.

Andreas Stephan, Dawei Zhu, Matthias Aßenmacher, Xiaoyu Shen, Benjamin Roth

CoRR, 2024

Text-Guided Alternative Image Clustering.

Andreas Stephan, Lukas Miklautz, Collin Leiber, Pedro Henrique Luz de Araujo, Dominik Répás, Claudia Plant, Benjamin Roth

CoRR, 2024

The Impact of Cluster Centroid and Text Review Embeddings on Recommendation Methods.

Peter Dolog, Ylli Sadikaj, Yllka Velaj, Andreas Stephan, Benjamin Roth, Claudia Plant

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Counterfactual Reasoning with Knowledge Graph Embeddings.

Lena Zellinger, Andreas Stephan, Benjamin Roth

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Text-Guided Image Clustering.

Andreas Stephan, Lukas Miklautz, Kevin Sidak, Jan Philip Wahle, Bela Gipp, Claudia Plant, Benjamin Roth

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Analysing zero-shot temporal relation extraction on clinical notes using temporal consistency.

Vasiliki Kougia, Anastasiia Sedova, Andreas Stephan, Klim Zaporojets, Benjamin Roth

Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024

2023

Weaker Than You Think: A Critical Look atWeakly Supervised Learning.

Dawei Zhu, Xiaoyu Shen, Marius Mosbach, Andreas Stephan, Dietrich Klakow

CoRR, 2023

Towards Enhancing Deep Active Learning with Weak Supervision and Constrained Clustering.

Matthias Aßenmacher, Lukas Rauch, Jann Goschenhofer, Andreas Stephan, Bernd Bischl, Benjamin Roth, Bernhard Sick

Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2023), 2023

Seeing through the mess: evolutionary dynamics of lexical polysemy.

Andreas Baumann, Andreas Stephan, Benjamin Roth

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Weaker Than You Think: A Critical Look at Weakly Supervised Learning.

Dawei Zhu, Xiaoyu Shen, Marius Mosbach, Andreas Stephan, Dietrich Klakow

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Copula-based Black-Litterman portfolio optimization.

Maziar Sahamkhadam, Andreas Stephan, Ralf Östermark

Eur. J. Oper. Res., 2022

WeaNF: Weak Supervision with Normalizing Flows.

Andreas Stephan, Benjamin Roth

Proceedings of the 7th Workshop on Representation Learning for NLP, 2022

SepLL: Separating Latent Class Labels from Weak Supervision Noise.

Andreas Stephan, Vasiliki Kougia, Benjamin Roth

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Knodle: Modular Weakly Supervised Learning with PyTorch.

Anastasiia Sedova, Andreas Stephan, Marina Speranskaya, Benjamin Roth

Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

2019

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

2017

Modeling and Testing Product Lines with Unbounded Parametric Real-Time Constraints.

Lars Luthmann, Andreas Stephan, Johannes Bürdek, Malte Lochau

Proceedings of the 21st International Systems and Software Product Line Conference, 2017

2004

Combined Learning Algorithm for a Self-Organizing Map with Fuzzy Inference.

Yevgeniy V. Bodyanskiy, Yevgen Gorshkov, Vitaliy Kolodyazhniy, Andreas Stephan

Proceedings of the Computational Intelligence, Theory and Applications, International Conference 8th Fuzzy Days, Dortmund, Germany, Sept. 29, 2004

2001

An Adaptive Learning Algorithm for a Neuro-fuzzy Network.

Yevgeniy V. Bodyanskiy, Vitaliy Kolodyazhniy, Andreas Stephan

Proceedings of the Computational Intelligence, 2001

1999

Detection of NARMA-sequence order using recurrent artificiai neural networks.

Yevgeniy V. Bodyanskiy, S. A. Vorobyov, Andreas Stephan

Proceedings of the 5th European Control Conference, 1999