A. Nizar
Artificial Intelligence · 2008
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 6 citations into it; #28,997 of 35,345 by trust here, #25,809 by citations
- Electrical and Electronic Engineering — 5 citations into it; #11,840 of 16,539 by trust here, #12,348 by citations
Whom A. Nizar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts A. Nizar overall
Papers from A. Nizar's perspective
Ordered by how strongly the researchers A. Nizar trusts endorse each paper. Same corpus, a different order for every researcher.
- Extreme learning machine: a new learning scheme of feedforward neural networks (2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541))
- Learning capability and storage capacity of two-hidden-layer feedforward networks (IEEE Trans. Neural Networks)
- Universal Approximation using Incremental Constructive Feedforward Networks with Random Hidden Nodes (IEEE Transactions on Neural Networks)
- Extreme learning machine: Theory and applications
- A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks
- Customer Characterization Options for Improving the Tariff Offer (IEEE Power Engineering Review)
- Electricity theft: a comparative analysis
- An electric energy consumer characterization framework based on data mining techniques (IEEE Transactions on Power Systems)
- A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximation (IEEE Transactions on Neural Networks)
- An efficient sequential learning algorithm for growing and pruning RBF (GAP-RBF) networks (IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics))
Their papers
- Power Utility Nontechnical Loss Analysis With Extreme Learning Machine Method (2008) — 355 citations