Bhavani M. Thuraisingham

Artificial Intelligence · 2007–2020

A researcher in the Science corpus: 6 papers; trusts 151 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 73 citations into it; #16,646 of 35,345 by trust here, #14,181 by citations
• Computer Vision and Pattern Recognition — 37 citations into it
• Computer Networks and Communications — 18 citations into it; #3,946 of 9,886 by trust here, #4,128 by citations
• Privacy & Security — 16 citations into it
• Statistics and Probability — 11 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Information Systems — 6 citations into it
• Statistical Learning Theory — 6 citations into it

Whom Bhavani M. Thuraisingham trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yoshua Bengio
4. Yuhai Wu
5. Kaiming He
6. Cynthia Dwork
7. Ilya Sutskever
8. Diederik P. Kingma
9. Yann LeCun
10. Oriol Vinyals

Who trusts Bhavani M. Thuraisingham overall

1. Sumaiya Thaseen Ikram

Papers from Bhavani M. Thuraisingham's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Privacy Preserving Synthetic Data Release Using Deep Learning (2018) — 170 citations
• The applicability of the perturbation based privacy preserving data mining for real-world data (2008) — 54 citations
• Progressive One-shot Human Parsing (2020) — 20 citations
• Classification and Novel Class Detection in Concept-Drifting Data Streams under Time Constraints (2011) — 415 citations
• Privacy preservation in wireless sensor networks: A state-of-the-art survey (2009) — 356 citations
• A new intrusion detection system using support vector machines and hierarchical clustering (2007) — 462 citations