Turker Ince

Control and Systems Engineering · 2002–2019

A researcher in the Science corpus: 8 papers; trusts 34 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Control and Systems Engineering — 40 citations into it; #2,871 of 8,257 by trust here, #1,475 by citations
• Computer Vision and Pattern Recognition — 21 citations into it
• Mechanical Engineering — 20 citations into it; #5,047 of 8,300 by trust here, #7,024 by citations
• Cardiology and Cardiovascular Medicine — 18 citations into it; #60 of 906 by trust here, #264 by citations
• Artificial Intelligence — 17 citations into it
• Mechanics of Materials — 16 citations into it
• Cognitive Neuroscience — 14 citations into it; #5,628 of 10,852 by trust here, #7,860 by citations
• Signal Processing — 9 citations into it; #4,491 of 7,572 by trust here, #4,900 by citations

Whom Turker Ince trusts overall

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

1. Philip de Chazal
2. Levent Tolga Eren
3. Stéphane Mallat
4. Zhiwei Gao
5. Wei Jiang
6. Serkan Kiranyaz
7. Geoffrey E. Hinton
8. Alex Krizhevsky
9. Xin Yao
10. Xuewu Dai

Who trusts Turker Ince overall

1. Serkan Kiranyaz
2. Onur Avcı
3. Osama Abdeljaber
4. Minghang Zhao
5. Mariano Llamedo
6. Saeed Khaki
7. Can Ye
8. Zhaoyi Xu
9. Moshe Kravchik
10. Pei Cao

Papers from Turker Ince's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Dropout: a simple way to prevent neural networks from overfitting
9. Learning Multiple Layers of Features from Tiny Images
10. This PDF file includes: Materials and Methods

Their papers

• 1D Convolutional Neural Networks and Applications: A Survey (2019) — 2,635 citations
• 1-D Convolutional Neural Networks for Signal Processing Applications (2019) — 297 citations
• A Generic Intelligent Bearing Fault Diagnosis System Using Compact Adaptive 1D CNN Classifier (2018) — 640 citations
• Real-Time Patient-Specific ECG Classification by 1-D Convolutional Neural Networks (2016) — 1,648 citations
• Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks (2016) — 1,154 citations
• A Generic and Robust System for Automated Patient-Specific Classification of ECG Signals (2009) — 485 citations
• Atmospheric Disturbances that Generate Intermittent Turbulence in Nocturnal Boundary Layers (2004) — 216 citations
• Intermittent Turbulence Associated with a Density Current Passage in the Stable Boundary Layer (2002) — 199 citations