Saiedeh Navabzadeh Razavi

Artificial Intelligence · 2013–2016

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it
• Statistics and Probability — 5 citations into it

Whom Saiedeh Navabzadeh Razavi trusts overall

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

1. G. Tesauro
2. Christopher J. C. H. Watkins
3. B. Vo
4. J. O’Neill
5. Ronald P. S. Mahler
6. David H. Hubel
7. Arnaud Doucet
8. Peter S. Dayan
9. Bernd A. Berg
10. Longxin Lin

Who trusts Saiedeh Navabzadeh Razavi overall

1. Xiaoyuan Liang
2. Tianshu Chu

Papers from Saiedeh Navabzadeh Razavi's perspective

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

1. Gradient-based learning applied to document recognition
2. Temporal Difference Learning and TD-Gammon
3. Q-learning
4. Long Short-Term Memory
5. New extension of the Kalman filter to nonlinear systems
6. Novel approach to nonlinear/non-Gaussian Bayesian state estimation
7. Sequential Monte Carlo Methods in Practice
8. SciPy: Open Source Scientific Tools for Python
9. Reinforcement Learning for Robots Using Neural Networks
10. ImageNet classification with deep convolutional neural networks

Their papers

• Multisensor data fusion: A review of the state-of-the-art (2013) — 1,883 citations
• Using a Deep Reinforcement Learning Agent for Traffic Signal Control (2016) — 321 citations