Joshua O. Ighalo

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it
• Optimization & Training — 6 citations into it

Whom Joshua O. Ighalo trusts overall

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

1. L. Eon Bottou

Papers from Joshua O. Ighalo's perspective

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

1. A review of the mathematical models for predicting the heating value of biomass materials
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• CuO nanoparticles (CuO NPs) for water treatment: A review of recent advances (2021) — 163 citations
• Application of linear regression algorithm and stochastic gradient descent in a machine‐learning environment for predicting biomass higher heating value (2020) — 54 citations
• A review of coir fiber reinforced polymer composites (2019) — 341 citations