Mahmudul Hasan

Artificial Intelligence · with Hashem · 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 Mahmudul Hasan trusts overall

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

1. Charu C. Aggarwal
2. Vladimir Naumovich Vapnik
3. C. Burges
4. Jiawei Han

Papers from Mahmudul Hasan's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. A Tutorial on Support Vector Machines for Pattern Recognition
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. A Framework for Clustering Evolving Data Streams
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Long Short-Term Memory
9. IoT Security: Ongoing Challenges and Research Opportunities (IEEE International Conference on Service-Oriented Computing and Applications)
10. Support-vector networks

Their papers

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