Abdesselam Bouzerdoum

Artificial Intelligence · 2002–2022

A researcher in the Science corpus: 5 papers; trusts 179 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 55 citations into it
• Computer Vision and Pattern Recognition — 45 citations into it; #13,907 of 21,575 by trust here, #17,757 by citations
• Probabilistic & Bayesian Methods — 22 citations into it
• Meta & Continual Learning — 11 citations into it
• Representation & Self-Supervised Learning — 11 citations into it
• Computational Theory and Mathematics — 8 citations into it
• Evaluation & Benchmarks — 7 citations into it
• Optimization & Training — 7 citations into it

Whom Abdesselam Bouzerdoum trusts overall

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

1. Geoffrey E. Hinton
2. Carl E. Rasmussen
3. Andrew Gordon Wilson
4. Radford M. Neal
5. James Hensman
6. Matthew D. Zeiler
7. Zoubin Ghahramani
8. Alex Krizhevsky
9. Kaiming He
10. Ruslan Salakhutdinov

Who trusts Abdesselam Bouzerdoum overall

1. Miquel Perelló Nieto
2. Praveen K. Kakumanu
3. Alexander Amini

Papers from Abdesselam Bouzerdoum's perspective

Ordered by how strongly the researchers Abdesselam Bouzerdoum 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. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Class Similarity Weighted Knowledge Distillation for Continual Semantic Segmentation (2022) — 83 citations
• A Scalable Hierarchical Gaussian Process Classifier (2019) — 9 citations
• A supervised learning approach for imbalanced data sets (2008) — 55 citations
• Skin segmentation using color pixel classification: analysis and comparison (2005) — 872 citations
• A novel skin color model in YCbCr color space and its application to human face detection (2002) — 312 citations