Vasileios Iosifidis

Artificial Intelligence · 2017–2021

A researcher in the Science corpus: 4 papers; trusts 43 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 101 citations into it; #19,039 of 35,345 by trust here, #19,439 by citations
• AI Ethics, Fairness & Society — 61 citations into it
• Safety Research — 59 citations into it; #2,251 of 5,829 by trust here, #2,873 by citations
• Safety, Robustness & Interpretability — 50 citations into it
• Sociology and Political Science — 28 citations into it
• Statistics and Probability — 22 citations into it
• Information Systems — 16 citations into it
• Algorithms & Complexity — 8 citations into it

Whom Vasileios Iosifidis trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Faisal Kamiran
2. Toon Calders
3. Robert E. Schapire
4. Wenbin Zhang
5. Nitesh V. Chawla
6. Albert Bifet
7. Saif M. Mohammad
8. Emmanouil Krasanakis
9. Kristina Toutanova
10. Kamal Nigam

Who trusts Vasileios Iosifidis overall

1. Yuji Roh
2. Lin Yue
3. Simon Caton
4. Kangwook Lee
5. Steven Euijong Whang
6. Weitong Chen
7. Christian Haas
8. Emilio Carrizosa

Papers from Vasileios Iosifidis's perspective

Ordered by how strongly the researchers Vasileios Iosifidis trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• A survey on datasets for fairness‐aware machine learning (2021) — 354 citations
• Bias in data‐driven artificial intelligence systems—An introductory survey (2020) — 903 citations
• AdaFair: Cumulative Fairness Adaptive Boosting (2019) — 97 citations
• Large Scale Sentiment Learning with Limited Labels (2017) — 34 citations