Petar Ristoski
Artificial Intelligence · 2016
A researcher in the Science corpus: 3 papers; trusts 39 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 32 citations into it; #7,804 of 35,345 by trust here, #20,377 by citations
- Information Systems — 22 citations into it; #6,310 of 8,771 by trust here, #7,997 by citations
- Molecular Biology — 7 citations into it
- Management Science and Operations Research — 6 citations into it
- Computational Theory and Mathematics — 5 citations into it
- Natural Language Processing — 5 citations into it
Whom Petar Ristoski trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Heiko Paulheim
- Stephan Bloehdorn
- George A. Miller
- Tomas Mikolov
- Johannes Fürnkranz
- Gerben de Vries
- Christian Bizer
- Pablo N. Mendes
- York Sure-Vetter
- Fabian M. Suchanek
Who trusts Petar Ristoski overall
- Zequn Sun
- Shikhar Vashishth
- Michael Sejr Schlichtkrull
- Bassem Makni
- Wei Hu
- Dan Busbridge
- Soumya Sanyal
- Anne Lauscher
- Thomas Kipf
- J. Hendler
Papers from Petar Ristoski's perspective
Ordered by how strongly the researchers Petar Ristoski trusts endorse each paper. Same corpus, a different order for every researcher.
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Efficient Estimation of Word Representations in Vector Space
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
Their papers
- RDF2Vec: RDF Graph Embeddings for Data Mining (2016) — 537 citations
- A Collection of Benchmark Datasets for Systematic Evaluations of Machine Learning on the Semantic Web (2016) — 114 citations
- Semantic Web in data mining and knowledge discovery: A comprehensive survey (2016) — 336 citations