Moez Krichen
Computer Vision and Pattern Recognition · 2004–2023
A researcher in the Science corpus: 7 papers; trusts 4 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 15 citations into it
Whom Moez Krichen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Moez Krichen overall
Papers from Moez Krichen's perspective
Ordered by how strongly the researchers Moez Krichen 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Going deeper with convolutions
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Conformance testing for real-time systems (2004) — 356 citations
- Convolutional Neural Networks: A Survey (2023) — 552 citations
- Are Formal Methods Applicable To Machine Learning And Artificial Intelligence? (2022)
- Weight Initialization Techniques for Deep Learning Algorithms in Remote Sensing: Recent Trends and Future Perspectives (2021) — 35 citations
- A Formal Framework for Conformance Testing of Distributed Real-Time Systems (2010) — 22 citations
- Interesting Properties of the Real-Time Conformance Relation (2006) — 21 citations
- State Identification Problems for Timed Automata (2005) — 22 citations