Azzeddine Dahbi
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 6 citations into it
Whom Azzeddine Dahbi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Azzeddine Dahbi overall
Papers from Azzeddine Dahbi's perspective
Ordered by how strongly the researchers Azzeddine Dahbi trusts endorse each paper. Same corpus, a different order for every researcher.
- Learning to Match using Local and Distributed Representations of Text for Web Search
- Fast Algorithms for Mining Association Rules
- A vector space model for automatic indexing
- Term-Weighting Approaches in Automatic Text Retrieval
- Large Margin Rank Boundaries for Ordinal Regression
- A Dual Embedding Space Model for Document Ranking
- Word-Entity Duet Representations for Document Ranking
- Mining Association Rules between Sets of Items in Large Databases
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Their papers
- Ranking of text documents using TF-IDF weighting and association rules mining (2018) — 35 citations