Stavroula G. Mougiakakou

Reinforcement Learning · 2010–2019

A researcher in the Science corpus: 6 papers; trusts 21 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 17 citations into it
• Artificial Intelligence — 15 citations into it; #35,304 of 35,345 by trust here, #12,974 by citations
• Endocrinology, Diabetes and Metabolism — 10 citations into it; #55 of 623 by trust here, #320 by citations
• Surgery — 8 citations into it; #87 of 1,106 by trust here, #636 by citations
• Computer Vision and Pattern Recognition — 6 citations into it
• Control and Systems Engineering — 5 citations into it
• Genetics — 5 citations into it; #4,515 of 6,854 by trust here, #5,952 by citations

Whom Stavroula G. Mougiakakou trusts overall

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

1. Richard S. Sutton
2. John N. Tsitsiklis
3. Elena Daskalaki
4. Vijay R. Konda
5. Dimitri P. Bertsekas
6. Atul J. Butte
7. Geoffrey E. Hinton
8. Alex Krizhevsky
9. Diederik P. Kingma
10. Yann LeCun

Who trusts Stavroula G. Mougiakakou overall

1. Iván Contreras
2. Mariano De Paula
3. Chao Yu
4. Elena Daskalaki
5. Josep Vehí

Papers from Stavroula G. Mougiakakou's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Dropout: a simple way to prevent neural networks from overfitting
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• An Actor-Critic based controller for glucose regulation in type 1 diabetes (2013) — 49 citations
• A Dual Mode Adaptive Basal-Bolus Advisor Based on Reinforcement Learning (2019) — 68 citations
• Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network (2016) — 1,170 citations
• Model-Free Machine Learning in Biomedicine: Feasibility Study in Type 1 Diabetes (2016) — 67 citations
• Personalized tuning of a reinforcement learning control algorithm for glucose regulation (2013) — 35 citations
• Preliminary results of a novel approach for glucose regulation using an Actor-Critic learning based controller (2010) — 10 citations