Symeon Papadopoulos

Artificial Intelligence · 2012–2020

A researcher in the Science corpus: 5 papers; trusts 24 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 82 citations into it; #17,474 of 35,345 by trust here, #14,718 by citations
• Statistical and Nonlinear Physics — 64 citations into it; #6,439 of 10,127 by trust here, #6,156 by citations
• Information Systems — 32 citations into it
• AI Ethics, Fairness & Society — 30 citations into it; #302 of 494 by trust here, #352 by citations
• Computer Networks and Communications — 18 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Molecular Biology — 11 citations into it
• Algorithms & Complexity — 9 citations into it

Whom Symeon Papadopoulos trusts overall

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

1. Mark Newman
2. Santo Fortunato
3. Aaron Clauset
4. Alex Arenas
5. Satu Elisa Schaeffer
6. Peter Mika
7. Michelle Girvan
8. Jordi Duch
9. Jianbo Shi
10. Aditi Gupta

Who trusts Symeon Papadopoulos overall

1. Jiliang Tang
2. Ninareh Mehrabi
3. Suhang Wang
4. Charu C. Aggarwal
5. Yi Chang
6. Fred Morstatter
7. Huan Liu
8. Vasileios Iosifidis
9. Heinrich Jiang

Papers from Symeon Papadopoulos's perspective

Ordered by how strongly the researchers Symeon Papadopoulos 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Normalized cuts and image segmentation
10. Going deeper with convolutions

Their papers

• Adaptive Sensitive Reweighting to Mitigate Bias in Fairness-aware Classification (2018) — 179 citations
• Overview of the Special Issue on Trust and Veracity of Information in Social Media (2016) — 47 citations
• Bias in data‐driven artificial intelligence systems—An introductory survey (2020) — 903 citations
• Sensing Trending Topics in Twitter (2013) — 438 citations
• Community detection in Social Media (2012) — 621 citations