Robust common spatial patterns based on Bhattacharyya distance and Gamma divergence. - Stephanie Brandl; Klaus-Robert Müller; Wojciech Samek (BCI, 2015)

Bringing BCI into everyday life: Motor imagery in a pseudo realistic environment. - Stephanie Brandl; Johannes Höhne; Klaus-Robert Müller; Wojciech Samek (NER, 2015)

Alternative CSP approaches for multimodal distributed BCI data. - Stephanie Brandl; Klaus-Robert Müller; Wojciech Samek (SMC, 2016)

Times Are Changing: Investigating the Pace of Language Change in Diachronic Word Embeddings. - Stephanie Brandl; David Lassner (LChange@ACL, 2019)

Bias in Datensätzen und ML-Modellen: Erkennung und Umgang in den DH. - David Lassner; Stephanie Brandl; Louisa Guy; Anne Baillot (DHd, 2020)

Balancing the composition of word embeddings across heterogenous data sets. - Stephanie Brandl; David Lassner; Maximilian Alber (CoRR, 2020)

Applications of machine learning in dynamic settings: from computational neuroscience to natural language processing. - Stephanie Brandl (2021)

Do Transformer Models Show Similar Attention Patterns to Task-Specific Human Gaze? - Oliver Eberle; Stephanie Brandl; Jonas Pilot; Anders Søgaard (ACL (1), 2022)

Challenges and Strategies in Cross-Cultural NLP. - Daniel Hershcovich; Stella Frank; Heather C. Lent; Miryam de Lhoneux; Mostafa Abdou; Stephanie Brandl; Emanuele Bugliarello; Laura Cabello Piqueras; Ilias Chalkidis; Ruixiang Cui; Constanza Fierro; Katerina Margatina; et al. (ACL (1), 2022)

Textexplorationen in der digitalen Literaturwissenschaft - Eine kritische und angewandte Auseinandersetzung mit Repräsentations- und Interpretationsansätzen von Text. - Stephanie Brandl; David Lassner; Cora Krömer; Anne Baillot (DHd, 2022)

Evaluating Deep Taylor Decomposition for Reliability Assessment in the Wild. - Stephanie Brandl; Daniel Hershcovich; Anders Søgaard (ICWSM, 2022)

Every word counts: A multilingual analysis of individual human alignment with model attention. - Stephanie Brandl; Nora Hollenstein (AACL/IJCNLP (2), 2022)

How Conservative are Language Models? Adapting to the Introduction of Gender-Neutral Pronouns. - Stephanie Brandl; Ruixiang Cui; Anders Søgaard (NAACL-HLT, 2022)

Evaluating Bias and Fairness in Gender-Neutral Pretrained Vision-and-Language Models. - Laura Cabello; Emanuele Bugliarello; Stephanie Brandl; Desmond Elliott (EMNLP, 2023)

Rather a Nurse than a Physician - Contrastive Explanations under Investigation. - Oliver Eberle; Ilias Chalkidis; Laura Cabello; Stephanie Brandl (EMNLP, 2023)

WebQAmGaze: A Multilingual Webcam Eye-Tracking-While-Reading Dataset. - Tiago Ribeiro; Stephanie Brandl; Anders Søgaard; Nora Hollenstein (CoRR, 2023)

On the Interplay between Fairness and Explainability. - Stephanie Brandl; Emanuele Bugliarello; Ilias Chalkidis (CoRR, 2023)

Domain-Specific Word Embeddings with Structure Prediction. - David Lassner; Stephanie Brandl; Anne Baillot; Shinichi Nakajima (Trans. Assoc. Comput. Linguistics, 2023)

Evaluating Webcam-based Gaze Data as an Alternative for Human Rationale Annotations. - Stephanie Brandl; Oliver Eberle; Tiago Ribeiro; Anders Søgaard; Nora Hollenstein (LREC/COLING, 2024)

Llama meets EU: Investigating the European political spectrum through the lens of LLMs. - Ilias Chalkidis; Stephanie Brandl (NAACL (Short Papers), 2024)

Comparing zero-shot self-explanations with human rationales in multilingual text classification. - Stephanie Brandl; Oliver Eberle (CoRR, 2024)

Identifying Fine-grained Forms of Populism in Political Discourse: A Case Study on Donald Trump's Presidential Campaigns. - Ilias Chalkidis; Stephanie Brandl; Paris Aslanidis (CoRR, 2025)

Beyond Technocratic XAI: The Who, What & How in Explanation Design. - Ruchira Dhar; Stephanie Brandl; Ninell Oldenburg; Anders Søgaard (CoRR, 2025)