Seyedali Mirjalili
Artificial Intelligence · with Ishaq · 2021
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 10 citations into it
Whom Seyedali Mirjalili trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Jerome H. Friedman (in Artificial Intelligence)
Papers from Seyedali Mirjalili's perspective
Ordered by how strongly the researchers Seyedali Mirjalili trusts endorse each paper. Same corpus, a different order for every researcher.
- Greedy function approximation: A gradient boosting machine.
- Random Forests
- Effective diagnosis of heart disease through neural networks ensembles (Expert systems with applications)
- Incorporating Invariances in Support Vector Learning Machines
- A Short Introduction to Boosting
- A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms
- Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithm (Comput. Methods Programs Biomed.)
- Deep learning approach for active classification of electrocardiogram signals (Information Sciences)
- Can machine-learning improve cardiovascular risk prediction using routine clinical data? (PLoS ONE)
- Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine (Database J. Biol. Databases Curation)