Mustafa Bilgic

Artificial Intelligence · 2004–2008

A researcher in the Science corpus: 4 papers; trusts 21 researchers and is trusted by 96 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Probabilistic & Bayesian Methods — 14 citations into it
• Information Systems — 13 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Natural Language Processing — 8 citations into it
• Computer Networks and Communications — 6 citations into it
• Graph Learning — 5 citations into it; #56 of 693 by trust here, #59 by citations

Whom Mustafa Bilgic trusts overall

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

1. Paul Resnick
2. Jonathan L. Herlocker
3. Ken Lang
4. Raymond J. Mooney
5. J. Konstan
6. Prem Melville
7. John Riedl
8. B. Taskar
9. Bradley N. Miller
10. William W. Cohen

Who trusts Mustafa Bilgic overall

1. Nava Tintarev
2. Behnoush Abdollahi
3. Judith Masthoff
4. Panagiotis Symeonidis
5. Yongfeng Zhang
6. Ingrid Nunes
7. Mohammed Al-Taie
8. Olfa Nasraoui
9. Qingyao Ai
10. Dietmar Jannach

Papers from Mustafa Bilgic's perspective

Ordered by how strongly the researchers Mustafa Bilgic 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. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Collective Classification in Network Data (2008) — 4,707 citations
• Collective Classi!cation in Network Data (2008) — 1,758 citations
• Explaining Recommendations: Satisfaction vs. Promotion (2005) — 324 citations
• Explanation for Recommender Systems: Satisfaction vs. Promotion (2004) — 17 citations