A. Adeniyi
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 A. Adeniyi trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- L. Eon Bottou (in Optimization & Training)
Papers from A. Adeniyi's perspective
Ordered by how strongly the researchers A. Adeniyi trusts endorse each paper. Same corpus, a different order for every researcher.
- A review of the mathematical models for predicting the heating value of biomass materials
- ImageNet classification with deep convolutional neural networks
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
- GENERATIVE ADVERSARIAL NETS
- Gradient-based learning applied to document recognition
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