Explaining Recurrent Neural Network Predictions in Sentiment Analysis L Arras, G Montavon, KR Müller, W Samek EMNLP 2017 Workshop on Computational Approaches to Subjectivity, Sentiment …, 2017 | 454 | 2017 |

"What is relevant in a text document?": An interpretable machine learning approach L Arras, F Horn, G Montavon, KR Müller, W Samek PLOS ONE 12 (8), e0181142, 2017 | 386 | 2017 |

CLEVR-XAI: A benchmark dataset for the ground truth evaluation of neural network explanations L Arras, A Osman, W Samek Information Fusion 81, 14-40, 2022 | 163 | 2022 |

Explaining Predictions of Non-Linear Classifiers in NLP L Arras, F Horn, G Montavon, KR Müller, W Samek ACL 2016 Representation Learning for NLP (RepL4NLP), 1-7, 2016 | 141 | 2016 |

Explaining and Interpreting LSTMs L Arras, J Arjona-Medina, M Widrich, G Montavon, M Gillhofer, KR Müller, ... Lecture Notes in Computer Science, Explainable AI: Interpreting, Explaining …, 2019 | 116 | 2019 |

Evaluating Recurrent Neural Network Explanations L Arras, A Osman, KR Müller, W Samek ACL 2019 BlackboxNLP (oral presentation), Analyzing & Interpreting Neural …, 2019 | 96 | 2019 |

Towards Ground Truth Evaluation of Visual Explanations A Osman, L Arras, W Samek arXiv:2003.07258v1, 2020 | 19 | 2020 |

Causes of Outcome Learning: a causal inference-inspired machine learning approach to disentangling common combinations of potential causes of a health outcome A Rieckmann, P Dworzynski, L Arras, S Lapuschkin, W Samek, OA Arah, ... International Journal of Epidemiology 51 (5), 1622-1636, 2022 | 15 | 2022 |

Explainable sequence-to-sequence GRU neural network for pollution forecasting S Mirzavand Borujeni, L Arras, V Srinivasan, W Samek Scientific Reports 13 (1), 9940, 2023 | 9 | 2023 |

Explaining the Decisions of Convolutional and Recurrent Neural Networks W Samek, L Arras, A Osman, G Montavon, KR Müller Mathematical Aspects of Deep Learning, 229-266, 2022 | 3 | 2022 |

Explainability in GeoAI X Cheng, M Vischer, Z Schellin, L Arras, MM Kuglitsch, W Samek, J Ma Handbook of Geospatial Artificial Intelligence, 177-200, 2023 | | 2023 |