Sumaiya Thaseen Ikram
Artificial Intelligence · 2016
A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 11 citations into it; #18,498 of 35,345 by trust here, #32,362 by citations
- Computer Networks and Communications — 11 citations into it; #4,549 of 9,886 by trust here, #8,844 by citations
Whom Sumaiya Thaseen Ikram trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Latifur R. Khan
- Srilatha Chebrolu
- Ajith Abraham
- G. Wang
- Sandhya Peddabachigari
- Aleksandar Lazarevic
- Johnson P. Thomas
- Mamoun Adel Awad
- Andrew H. Sung
- Jin-Xing Hao
Who trusts Sumaiya Thaseen Ikram overall
Papers from Sumaiya Thaseen Ikram's perspective
Ordered by how strongly the researchers Sumaiya Thaseen Ikram trusts endorse each paper. Same corpus, a different order for every researcher.
- A Comparative Study of Anomaly Detection Schemes in Network Intrusion Detection
- Identifying important features for intrusion detection using support vector machines and neural networks (2003 Symposium on Applications and the Internet, 2003. Proceedings.)
- A new intrusion detection system using support vector machines and hierarchical clustering
- A new approach to intrusion detection using Artificial Neural Networks and fuzzy clustering (Expert systems with applications)
- UCI Repository of machine learning databases
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- The Nature of Statistical Learning Theory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet classification with deep convolutional neural networks
- A novel hybrid intrusion detection method integrating anomaly detection with misuse detection (Expert systems with applications)
Their papers
- Intrusion detection model using fusion of chi-square feature selection and multi class SVM (2016) — 448 citations