Eleftherios Spyromitros Xioufis

Artificial Intelligence · 2012–2018

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it; #17,739 of 35,345 by trust here, #19,873 by citations
• Optimization & Training — 12 citations into it
• AI Ethics, Fairness & Society — 10 citations into it; #305 of 494 by trust here, #352 by citations
• Information Systems — 10 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it; #15,319 of 21,575 by trust here, #18,782 by citations
• Statistics and Probability — 9 citations into it
• Computational Mechanics — 8 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Eleftherios Spyromitros Xioufis trusts overall

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

1. David Hilton Wolpert
2. Leo Breiman
3. R. Caruana
4. Jonathan Baxter
5. Alan J. Izenman
6. Jaka Demsar
7. Seyoung Kim
8. Theodoros Evgeniou
9. Weiwei Cheng
10. Toon Calders

Who trusts Eleftherios Spyromitros Xioufis overall

1. Haitao Liu
2. Yew-Soon Ong
3. Jianfei Cai
4. Vasileios Iosifidis
5. Heinrich Jiang

Papers from Eleftherios Spyromitros Xioufis's perspective

Ordered by how strongly the researchers Eleftherios Spyromitros Xioufis 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Multi-target regression via input space expansion: treating targets as inputs (2012) — 367 citations
• Adaptive Sensitive Reweighting to Mitigate Bias in Fairness-aware Classification (2018) — 179 citations