Arman Malekloo
Civil and Structural Engineering · 2021
A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Civil and Structural Engineering — 35 citations into it
- Mechanics of Materials — 11 citations into it
- Artificial Intelligence — 9 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
- Mechanical Engineering — 8 citations into it
- Control and Systems Engineering — 7 citations into it
Whom Arman Malekloo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Charles R. Farrar
- Keith Worden
- Radford M. Neal
- Sandeep Sony
- Vin de Silva
- Dongming Feng
- T.G. Ritto
- M. Mitra
- Saúl Solorio-Fernández
- Samina Khalid
Papers from Arman Malekloo's perspective
Ordered by how strongly the researchers Arman Malekloo trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Pattern Recognition and Machine Learning
- Vibration–based structural damage identification (Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences)
- The application of machine learning to structural health monitoring (Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences)
- A review of structural health monitoring literature 1996-2001
- Effects of environmental and operational variability on structural health monitoring (Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- An introduction to structural health monitoring (Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences)