M. Iqbal

Artificial Intelligence · with Ahmad · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom M. Iqbal trusts overall

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

  1. Chih-Jen Lin
  2. Abdulla Amin Aburomman

Papers from M. Iqbal's perspective

Ordered by how strongly the researchers M. Iqbal trusts endorse each paper. Same corpus, a different order for every researcher.

  1. LIBSVM: A library for support vector machines
  2. Extreme learning machine: a new learning scheme of feedforward neural networks (2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541))
  3. New Machine Learning Algorithm: Random Forest (International Conference on Information Computing and Applications)
  4. Random Forest Modeling for Network Intrusion Detection System
  5. A novel hybrid KPCA and SVM with GA model for intrusion detection (Applied Soft Computing)
  6. A novel SVM-kNN-PSO ensemble method for intrusion detection system (Applied Soft Computing)
  7. RSVM: Reduced Support Vector Machines (SDM)
  8. UCI Repository of machine learning databases
  9. Support-Vector Networks
  10. A Database for Handwritten Text Recognition Research

Their papers