Adnan Mohsin Abdulazeez
Artificial Intelligence · 2020–2021
A researcher in the Science corpus: 4 papers; trusts 13 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 15 citations into it; #31,514 of 35,345 by trust here, #30,347 by citations
- Computer Networks and Communications — 6 citations into it
- Information Systems — 6 citations into it
- Signal Processing — 6 citations into it
Whom Adnan Mohsin Abdulazeez trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yanyan Song
- Bahzad Charbuty
- Gary Stein
- Fotios Zantalis
- S. Kotsiantis
- Michel Verleysen
- Sydney Mambwe Kasongo
- Quan Zou
- Ying Lu
Who trusts Adnan Mohsin Abdulazeez overall
Papers from Adnan Mohsin Abdulazeez's perspective
Ordered by how strongly the researchers Adnan Mohsin Abdulazeez trusts endorse each paper. Same corpus, a different order for every researcher.
- A Survey on Filter Techniques for Feature Selection in Gene Expression Microarray Analysis (IEEE/ACM Transactions on Computational Biology & Bioinformatics)
- Optimal Sparse Decision Trees
- A Survey of Evolutionary Algorithms for Decision-Tree Induction
- Decision tree classifier for network intrusion detection with GA-based feature selection (ACM Southeast Regional Conference)
- Theoretical Comparison between the Gini Index and Information Gain Criteria
- Machine learning: a review of classification and combining techniques (Artificial Intelligence Review)
- Predicting Diabetes Mellitus With Machine Learning Techniques (Frontiers in Genetics)
- Machine Learning Algorithms: A Review (International Journal of Science and Research (IJSR))
- Machine learning in genetics and genomics (Nature reviews genetics)
- Supervised Machine Learning: A Review of Classification Techniques
Their papers
- Classification Based on Decision Tree Algorithm for Machine Learning (2021) — 1,629 citations
- Machine Learning Applications based on SVM Classification A Review (2021) — 370 citations
- A Review of Principal Component Analysis Algorithm for Dimensionality Reduction (2021) — 524 citations
- A Comprehensive Review of Dimensionality Reduction Techniques for Feature Selection and Feature Extraction (2020) — 807 citations