M. Hashem

Artificial Intelligence · with Hasan · 2019

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 — 6 citations into it

Whom M. Hashem trusts

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

1. Vladimir Naumovich Vapnik (in Statistical Learning Theory)

Papers from M. Hashem's perspective

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

1. A Tutorial on Support Vector Machines for Pattern Recognition
2. A Framework for Clustering Evolving Data Streams
3. Support-vector networks
4. IoT Security: Ongoing Challenges and Research Opportunities (IEEE International Conference on Service-Oriented Computing and Applications)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Layer Normalization
9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
10. Pattern classification and scene analysis

Their papers

• Attack and anomaly detection in IoT sensors in IoT sites using machine learning approaches (2019) — 715 citations