Dilbag Singh

Artificial Intelligence · Journal of Biomolecular Structure and Dynamics · 2012–2020

A researcher in the Science corpus: 4 papers; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it
• Biomedical Engineering — 5 citations into it

Whom Dilbag Singh trusts overall

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

1. Alex Krizhevsky
2. Jingqiao Zhang
3. Steve Lawrence
4. Kyong Hwan Jin
5. Geoffrey E. Hinton
6. Ilya Sutskever
7. Fei Shan
8. Arthur C. Sanderson
9. Jiuxiang Gu
10. Bert-Uwe Köhler

Who trusts Dilbag Singh overall

1. Ali Narin
2. Ceren Kaya
3. Chayakrit Krittanawong
4. Ziynet Pamuk

Papers from Dilbag Singh's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet Large Scale Visual Recognition Challenge
8. Densely Connected Convolutional Networks
9. Attention is All you Need (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Automated Deep Transfer Learning-Based Approach for Detection of COVID-19 Infection in Chest X-rays (2020) — 319 citations
• Classification of the COVID-19 infected patients using DenseNet201 based deep transfer learning (2020) — 523 citations
• Classification of COVID-19 patients from chest CT images using multi-objective differential evolution–based convolutional neural networks (2020) — 529 citations
• QRS detection using K-Nearest Neighbor algorithm (KNN) and evaluation on standard ECG databases (2012) — 343 citations