Ioannis Papantonis

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 51 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 58 citations into it; #19,308 of 35,345 by trust here, #33,294 by citations
• Safety, Robustness & Interpretability — 40 citations into it
• Statistics and Probability — 9 citations into it
• Statistical Learning Theory — 7 citations into it
• Information Systems — 6 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it
• Natural Language Processing — 5 citations into it

Whom Ioannis Papantonis trusts overall

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

1. Marco Tulio Ribeiro
2. R. Dennis Cook
3. Paulo Cortez
4. Mark W. Craven
5. Geoffrey E. Hinton
6. Erik Strumbelj
7. Pang Wei Koh
8. Andreas Henelius
9. Eduardo R. Hruschka
10. Gethsiyal Augasta M

Who trusts Ioannis Papantonis overall

1. Timo Speith
2. Waddah Saeed
3. Christian Walter Peter Omlin

Papers from Ioannis Papantonis's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Distilling the Knowledge in a Neural Network (arXiv.org)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Principles and Practice of Explainable Machine Learning (2020) — 591 citations