Cem Karaoguz

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 16 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it; #6,801 of 35,345 by trust here, #12,083 by citations
• Computer Vision and Pattern Recognition — 9 citations into it

Whom Cem Karaoguz trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Teuvo Kohonen
2. Olivier Sigaud
3. Roger Ratcliff
4. Sethu Vijayakumar
5. Alexander Rainer Tassilo Gepperth
6. Navneet Dalal
7. Markus Enzweiler
8. R. M. French
9. Camille Salaün
10. Stefan Schaal

Who trusts Cem Karaoguz overall

1. Tyler L. Hayes
2. Alexander Rainer Tassilo Gepperth
3. James Smith
4. Ronald Kemker
5. Benedikt Pfülb
6. Christopher Kanan
7. German Ignacio Parisi
8. Euntae Choi
9. Christian Simon
10. Matthias De Lange

Papers from Cem Karaoguz's perspective

Ordered by how strongly the researchers Cem Karaoguz trusts endorse each paper. Same corpus, a different order for every researcher.

1. Histograms of oriented gradients for human detection
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Pattern Recognition and Machine Learning
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A Bio-Inspired Incremental Learning Architecture for Applied Perceptual Problems (2016) — 160 citations
• Incremental learning with self-organizing maps (2017) — 11 citations