Agoston E. Eiben
Artificial Intelligence · 2007–2020
A researcher in the Science corpus: 9 papers; trusts 61 researchers and is trusted by 31 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 111 citations into it; #5,337 of 35,345 by trust here, #8,210 by citations
- Computational Theory and Mathematics — 39 citations into it; #1,228 of 12,182 by trust here, #1,291 by citations
- Control and Systems Engineering — 20 citations into it
- Computer Vision and Pattern Recognition — 16 citations into it
- Computer Networks and Communications — 15 citations into it
- Optimization & Training — 13 citations into it
- Mechanical Engineering — 9 citations into it; #823 of 8,300 by trust here, #5,612 by citations
- Management Science and Operations Research — 8 citations into it
Whom Agoston E. Eiben trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nikolaus Hansen
- Yaochu Jin
- John R. Koza
- Frank Hutter
- Z. Michalewicz
- Selmar K. Smit
- Kalyanmoy Deb
- Oded Maron
- Andreas Ostermeier
- John N. Hooker
Who trusts Agoston E. Eiben overall
- Changwu Huang
- Manuel López-Ibáñez
- Jason Teo
- Seyedali Mirjalili
- Jason Zhi Liang
- Giorgos Karafotias
- A. Słowik
- Jim E. Smith
- Thomas Stützle
- Yuanxiang Li
Papers from Agoston E. Eiben's perspective
Ordered by how strongly the researchers Agoston E. Eiben 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
- Learning Multiple Layers of Features from Tiny Images
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics (2020) — 19 citations
- Parameter Control in Evolutionary Algorithms (2007) — 2,017 citations
- Parameter tuning for configuring and analyzing evolutionary algorithms (2011) — 652 citations
- Parameter Control in Evolutionary Algorithms: Trends and Challenges (2015) — 468 citations
- Comparing parameter tuning methods for evolutionary algorithms (2009) — 316 citations
- From evolutionary computation to the evolution of things (2015) — 460 citations
- Introduction to Evolutionary Computing 2nd Edition (2020) — 223 citations
- Optimized flocking of autonomous drones in confined environments (2018) — 480 citations
- Applications of Evolutionary Computation - 17th European Conference, EvoApplications (2014) — 19 citations