J. Dadashkarimi

Information Systems · 2016

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 15 citations into it; #7,065 of 8,771 by trust here, #7,386 by citations
• Artificial Intelligence — 14 citations into it; #29,785 of 35,345 by trust here, #30,347 by citations
• Information Retrieval & Search — 5 citations into it
• Natural Language Processing — 5 citations into it

Whom J. Dadashkarimi trusts overall

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

1. Chengxiang Zhai
2. W. Bruce Croft
3. Daniel D. Lee
4. John D. Lafferty
5. Stephen E. Robertson
6. Victor Lavrenko
7. Jay M. Ponte
8. Tao Tao
9. Charu C. Aggarwal
10. Ian Ruthven

Who trusts J. Dadashkarimi overall

1. Hamed Zamani
2. Jun Xu

Papers from J. Dadashkarimi's perspective

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

1. Indexing by Latent Semantic Analysis
2. Attention is All you Need (Neural Information Processing Systems)
3. Relevance feedback in information retrieval
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet classification with deep convolutional neural networks
6. Learning the parts of objects by non-negative matrix factorization
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Using Probabilistic Models of Document Retrieval without Relevance Information
9. Long Short-Term Memory
10. Relevance weighting of search terms

Their papers

• Pseudo-Relevance Feedback Based on Matrix Factorization (2016) — 62 citations