Frans van den Bergh
Artificial Intelligence · 2000–2015
A researcher in the Science corpus: 6 papers; trusts 21 researchers and is trusted by 75 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 14 citations into it; #2,558 of 35,345 by trust here, #6,103 by citations
- Computer Vision and Pattern Recognition — 10 citations into it; #20,730 of 21,575 by trust here, #12,172 by citations
- Computational Theory and Mathematics — 7 citations into it; #1,904 of 12,182 by trust here, #1,936 by citations
- Optimization & Training — 7 citations into it
- Evaluation & Benchmarks — 5 citations into it
- Media Technology — 5 citations into it; #3,448 of 3,621 by trust here, #1,423 by citations
Whom Frans van den Bergh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- R. Eberhart
- James Kennedy
- Yuhui Shi
- Mitchell A. Potter
- Andries Petrus Engelbrecht
- Martin Fodslette Møller
- Elijah Polak
- Yann LeCun
- Kenneth De Jong
- Steve Lawrence
Who trusts Frans van den Bergh overall
- Konstantinos E. Parsopoulos
- Andries Petrus Engelbrecht
- Dongshu Wang
- Mahamed G. H. Omran
- Alec Banks
- Christian Blum
- Zhi-hui Zhan
- Hao Gao
- A. F. Vaz
- Swagatam Das
Papers from Frans van den Bergh's perspective
Ordered by how strongly the researchers Frans van den Bergh 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
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
- Backpropagation Applied to Handwritten Zip Code Recognition
Their papers
- A study of particle swarm optimization particle trajectories (2006) — 1,386 citations
- A new locally convergent particle swarm optimiser (2002) — 461 citations
- Multiview Deep Learning for Land-Use Classification (2015) — 245 citations
- A Cooperative approach to particle swarm optimization (2004) — 2,130 citations
- An analysis of particle swarm optimizers (2002) — 1,542 citations
- Cooperative learning in neural networks using particle swarm optimizers (2000) — 383 citations