Bettina Berendt
Artificial Intelligence · 2001–2021
A researcher in the Science corpus: 8 papers; trusts 85 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 115 citations into it; #9,573 of 35,345 by trust here, #9,170 by citations
- Safety, Robustness & Interpretability — 56 citations into it
- Natural Language Processing — 47 citations into it
- Safety Research — 36 citations into it; #1,102 of 5,829 by trust here, #2,138 by citations
- AI Ethics, Fairness & Society — 35 citations into it
- Sociology and Political Science — 28 citations into it; #4,047 of 22,756 by trust here, #4,823 by citations
- Information Systems — 24 citations into it
- Large Language Models — 15 citations into it
Whom Bettina Berendt trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Salvatore Ruggieri
- Dino Pedreschi
- Sara Hajian
- Franco Turini
- Toon Calders
- Binh Luong Thanh
- Michael Sedlmair
- Faisal Kamiran
- Josep Domingo-Ferrer
- Xiaoxin Yin
Who trusts Bettina Berendt overall
- Bryce Goodman
- Michael Veale
- Asmita Kashid
- Susanne Barth
- Alessandro Acquisti
- Seth R. Flaxman
- Reuben Binns
- Ulrich Matchi Aïvodji
- Sören Preibusch
- Vrushali Kulkarni
Papers from Bettina Berendt's perspective
Ordered by how strongly the researchers Bettina Berendt trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- RobBERT: a Dutch RoBERTa-based Language Model (2020) — 295 citations
- Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in Pretrained Language Models (2021) — 27 citations
- E-privacy in 2nd generation E-commerce: privacy preferences versus actual behavior (2001) — 621 citations
- Privacy in e-commerce: stated preferences vs. actual behavior (2005) — 495 citations
- Exploring Discrimination: A User-centric Evaluation of Discrimination-Aware Data Mining (2012) — 24 citations
- Bias in data‐driven artificial intelligence systems—An introductory survey (2020) — 903 citations
- Better decision support through exploratory discrimination-aware data mining: foundations and empirical evidence (2014) — 50 citations
- A Framework for the Evaluation of Session Reconstruction Heuristics in Web-Usage Analysis (2003) — 374 citations