Alper Ünler
Artificial Intelligence · 2008–2011
A researcher in the Science corpus: 3 papers; trusts 32 researchers and is trusted by 27 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 17 citations into it; #11,660 of 35,345 by trust here, #18,186 by citations
- Computer Vision and Pattern Recognition — 9 citations into it; #13,352 of 21,575 by trust here, #17,258 by citations
- Evaluation & Benchmarks — 9 citations into it
- Computational Theory and Mathematics — 7 citations into it
- Information Systems — 6 citations into it
- Molecular Biology — 6 citations into it
Whom Alper Ünler trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- V. Ediger
- Ron Kohavi
- Juha Reunanen
- Thomas G. Dietterich
- Isabelle M Guyon
- Jaka Demsar
- Diyar Akay
- Sanmay Das
- Huan Liu
- Manoranjan Dash
Who trusts Alper Ünler overall
- Erkan Erdogdu
- Sasan Barak
- Murat Kankal
- Fazil Kaytez
- Yong Zhang
- Gehad Ismail Sayed
- Muhammad Aliyu Sulaiman
- S. Sadegh
- Toshiki Sato
- Sina Tabakhi
Papers from Alper Ünler's perspective
Ordered by how strongly the researchers Alper Ünler trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Improvement of energy demand forecasts using swarm intelligence: The case of Turkey with projections to 2025 (2008) — 221 citations
- mr2PSO: A maximum relevance minimum redundancy feature selection method based on swarm intelligence for support vector machine classification (2011) — 298 citations
- A discrete particle swarm optimization method for feature selection in binary classification problems (2010) — 444 citations