Noureddine Zerhouni
Control and Systems Engineering · 2012–2017
A researcher in the Science corpus: 11 papers; trusts 25 researchers and is trusted by 27 researchers here, as inferred from the citation graph.
Subfields
- Control and Systems Engineering — 44 citations into it; #866 of 8,257 by trust here, #747 by citations
- Mechanical Engineering — 25 citations into it; #1,379 of 8,300 by trust here, #3,532 by citations
- Electrical and Electronic Engineering — 22 citations into it
- Mechanics of Materials — 16 citations into it
- Artificial Intelligence — 12 citations into it
- Civil and Structural Engineering — 8 citations into it; #5,091 of 6,160 by trust here, #4,631 by citations
- Computer Vision and Pattern Recognition — 7 citations into it
Whom Noureddine Zerhouni trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Lawrence R. Rabiner
- Kamal Medjaher
- Vladimir Naumovich Vapni
- Vladimir Naumovich Vapnik
- Tarak Benkedjouh
- Kevin P. Murphy
- Arthur P. Dempster
- Hasan Ocak
- L. V. D. van der Maaten
- Josh Tenenbaum
Who trusts Noureddine Zerhouni overall
- Yaguo Lei
- Naipeng Li
- Ruonan Liu
- Biao Wang
- Kamal Medjaher
- Boyuan Yang
- Abdenour Soualhi
- Xiang Li
- Ningbo Li
- Zhuyun Chen
Papers from Noureddine Zerhouni's perspective
Ordered by how strongly the researchers Noureddine Zerhouni trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- The Nature of Statistical Learning Theory
- Learning Multiple Layers of Features from Tiny Images
- Nonlinear dimensionality reduction by locally linear embedding.
Their papers
- Health assessment and life prediction of cutting tools based on support vector regression (2013) — 376 citations
- A Data-Driven Failure Prognostics Method Based on Mixture of Gaussians Hidden Markov Models (2012) — 359 citations
- Degradations analysis and aging modeling for health assessment and prognostics of PEMFC (2016) — 314 citations
- Direct Remaining Useful Life Estimation Based on Support Vector Regression (2017) — 379 citations
- Estimating the end-of-life of PEM fuel cells: Guidelines and metrics (2016) — 158 citations
- Bearing Health Monitoring Based on Hilbert–Huang Transform, Support Vector Machine, and Regression (2015) — 601 citations
- Enabling Health Monitoring Approach Based on Vibration Data for Accurate Prognostics (2015) — 320 citations
- Data-driven prognostic method based on Bayesian approaches for direct remaining useful life prediction (2014) — 325 citations
- Remaining useful life estimation based on nonlinear feature reduction and support vector regression (2013) — 324 citations
- PRONOSTIA : An experimental platform for bearings accelerated degradation tests. (2012) — 1,105 citations
- Remaining Useful Life Estimation of Critical Components With Application to Bearings (2012) — 297 citations