Vassilis P. Plagianakos

Artificial Intelligence · 2001–2018

A researcher in the Science corpus: 4 papers; trusts 20 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it; #22,345 of 35,345 by trust here, #19,439 by citations
• Computational Theory and Mathematics — 16 citations into it; #11,191 of 12,182 by trust here, #7,851 by citations
• Natural Language Processing — 10 citations into it
• Optimization & Training — 9 citations into it; #2,059 of 2,601 by trust here, #2,519 by citations
• Computer Vision and Pattern Recognition — 5 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Vassilis P. Plagianakos trusts overall

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

1. David E. Rumelhart
2. Richard S. Sutton
3. Roberto Battiti
4. Yann LeCun
5. L. Eon Bottou
6. Luís B. Almeida
7. Geoffrey E. Hinton
8. Robert A. Jacobs
9. James L. McClelland
10. N. Schraudolph

Who trusts Vassilis P. Plagianakos overall

1. Konstantinos E. Parsopoulos
2. Igor Sevo
3. Michael N. Vrahatis
4. Atilim Gunes Baydin
5. Sharan Vaswani
6. Aleksej Avramovic
7. R. Cornish
8. Mark W. Schmidt
9. Aaron Mishkin
10. Pinar Çivicioglu

Papers from Vassilis P. Plagianakos's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Enhancing Differential Evolution Utilizing Proximity-Based Mutation Operators (2011) — 310 citations
• Convolutional Neural Networks for Toxic Comment Classification (2018) — 237 citations
• Learning Rate Adaptation in Stochastic Gradient Descent (2001) — 55 citations
• Objective function “stretching” to alleviate convergence to local minima (2001) — 129 citations