Leila Arras
Leila Arras
Research Associate, Fraunhofer HHI, BIFOLD, Berlin, Germany
Verified email at - Homepage
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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
"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
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
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
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
Evaluating Recurrent Neural Network Explanations
L Arras, A Osman, KR Müller, W Samek
ACL 2019 BlackboxNLP (oral presentation), Analyzing & Interpreting Neural …, 2019
Towards Ground Truth Evaluation of Visual Explanations
A Osman, L Arras, W Samek
arXiv:2003.07258v1, 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
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
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
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
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