Ebrahim Bagheri
Artificial Intelligence · 2009–2017
A researcher in the Science corpus: 2 papers; trusts 33 researchers and is trusted by 18 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it; #9,860 of 35,345 by trust here, #7,346 by citations
- Information Systems — 16 citations into it; #3,249 of 8,771 by trust here, #7,705 by citations
- Natural Language Processing — 8 citations into it
- Information Retrieval & Search — 7 citations into it; #508 of 1,022 by trust here, #939 by citations
- Computer Networks and Communications — 6 citations into it; #3,107 of 9,886 by trust here, #925 by citations
Whom Ebrahim Bagheri trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- W. Bruce Croft
- Paolo Ferragina
- Chengxiang Zhai
- J. Ross Quinlan
- Chih-Jen Lin
- Victor Lavrenko
- Andrew McCallum
- Ron Kohavi
- John McHugh
- Donald Metzler
Who trusts Ebrahim Bagheri overall
- Ansam Khraisat
- Nour Moustafa
- Iqbal H. Sarker
- Chenyan Xiong
- Quamar Niyaz
- Dwaipayan Roy
- L.Dhanabal
- Ömer Aslan
- Ahmad Y. Javaid
- Opeyemi A. Osanaiye
Papers from Ebrahim Bagheri's perspective
Ordered by how strongly the researchers Ebrahim Bagheri trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Latent Dirichlet Allocation
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
Their papers
- Document Retrieval Model Through Semantic Linking (2017) — 79 citations
- A detailed analysis of the KDD CUP 99 data set (2009) — 4,970 citations