Guillaume Lemaitre
Artificial Intelligence · 2015–2016
A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 20 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 18 citations into it; #10,602 of 35,345 by trust here, #16,771 by citations
Whom Guillaume Lemaitre trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Luís Torgo
- Max Kuhn
- Stéphane Mallat
- Haibo He
- Hui Han
- Hien M. Nguyen
- Michael R. Smith
- Nitesh V. Chawla
- Aleksandra Pizurica
- Jorma Laurikkala
Who trusts Guillaume Lemaitre overall
- Tuong Le
- Fabio Tanaka
- Tarid Wongvorachan
- Mateusz Buda
- Felix Last
- Sebastian Raschka
- Roweida Mohammed
- Abhik Jana
- Quande Liu
- Georgios Douzas
Papers from Guillaume Lemaitre's perspective
Ordered by how strongly the researchers Guillaume Lemaitre 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
- SMOTE: Synthetic Minority Over-sampling Technique
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
- LIBSVM: A library for support vector machines
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images