Ahamad Tajudin Abdul Khader
Artificial Intelligence · 2017–2018
A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 21 citations into it; #19,600 of 35,345 by trust here, #17,412 by citations
- Computer Vision and Pattern Recognition — 8 citations into it
- Information Systems — 6 citations into it
Whom Ahamad Tajudin Abdul Khader trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Amir H. Gandomi
- Laith Mohammad Abualigah
- Pedram Ghamisi
- Amir Hossein Alavi
- Julia Handl
- Satyasai Jagannath Nanda
- Arman Khadjeh Nassirtoussi
- Xiaohui Cui
- Prakash Shelokar
- Harun Uguz
Who trusts Ahamad Tajudin Abdul Khader overall
Papers from Ahamad Tajudin Abdul Khader's perspective
Ordered by how strongly the researchers Ahamad Tajudin Abdul Khader trusts endorse each paper. Same corpus, a different order for every researcher.
- Krill herd: A new bio-inspired optimization algorithm
- Some methods for classification and analysis of multivariate observations
- Document clustering using particle swarm optimization (Proceedings 2005 IEEE Swarm Intelligence Symposium, 2005. SIS 2005.)
- Feature Selection Based on Hybridization of Genetic Algorithm and Particle Swarm Optimization (IEEE Geoscience and Remote Sensing Letters)
- An ant colony approach for clustering
- Ant-based and swarm-based clustering
- A comprehensive survey: artificial bee colony (ABC) algorithm and applications (Artificial Intelligence Review)
- Economic load dispatch using krill herd algorithm
- A new feature selection method to improve the document clustering using particle swarm optimization algorithm (Journal of Computer Science)
- A new user similarity model to improve the accuracy of collaborative filtering (Knowledge-Based Systems)
Their papers
- Hybrid clustering analysis using improved krill herd algorithm (2018) — 335 citations
- A new feature selection method to improve the document clustering using particle swarm optimization algorithm (2017) — 450 citations
- Unsupervised text feature selection technique based on hybrid particle swarm optimization algorithm with genetic operators for the text clustering (2017) — 413 citations