Tanveer Ahmad

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 5 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 57 citations into it
• Statistics and Probability — 8 citations into it

Whom Tanveer Ahmad trusts overall

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

1. Jerome H. Friedman
2. James W. Taylor
3. Qiong Li
4. Hui Liu
5. Ye Ren

Who trusts Tanveer Ahmad overall

1. Mathieu Bourdeau

Papers from Tanveer Ahmad's perspective

Ordered by how strongly the researchers Tanveer Ahmad 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. ImageNet: A large-scale hierarchical image database
7. A Fast Learning Algorithm for Deep Belief Nets
8. The Nature of Statistical Learning Theory
9. Going deeper with convolutions
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities (2021) — 919 citations
• A review on renewable energy and electricity requirement forecasting models for smart grid and buildings (2020) — 431 citations
• A critical review of comparative global historical energy consumption and future demand: The story told so far (2020) — 931 citations
• Nonlinear autoregressive and random forest approaches to forecasting electricity load for utility energy management systems (2019) — 139 citations
• A comprehensive overview on the data driven and large scale based approaches for forecasting of building energy demand: A review (2018) — 314 citations