Joni O. Salminen
Artificial Intelligence · 2018–2020
A researcher in the Science corpus: 5 papers; trusts 23 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 98 citations into it; #28,491 of 35,345 by trust here, #13,962 by citations
- Natural Language Processing — 52 citations into it
- Information Systems — 44 citations into it; #6,879 of 8,771 by trust here, #3,198 by citations
- Communication — 35 citations into it; #2,461 of 3,460 by trust here, #1,044 by citations
- Safety, Robustness & Interpretability — 26 citations into it
- Statistical and Nonlinear Physics — 10 citations into it
- Statistics and Probability — 6 citations into it; #12,566 of 12,932 by trust here, #6,080 by citations
- Signal Processing — 5 citations into it
Whom Joni O. Salminen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Zeerak Talat
- Mainack Mondal
- Ji Ho Park
- Diederik P. Kingma
- Bradley Efron
- Hossein Hosseini
- Paula Fortuna
- K. Gwet
- Leandro Araújo Silva
- David M. Blei
Who trusts Joni O. Salminen overall
- Bertie Vidgen
- Shrimai Prabhumoye
- Leon Derczynski
- Fan Huang
- Sayan Ghosh
- Rafal Kocielnik
- David Jurgens
- Pushkar Mishra
Papers from Joni O. Salminen's perspective
Ordered by how strongly the researchers Joni O. Salminen trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- 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
- ImageNet: A large-scale hierarchical image database
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Developing an online hate classifier for multiple social media platforms (2020) — 268 citations
- Online Hate Interpretation Varies by Country, But More by Individual: A Statistical Analysis Using Crowdsourced Ratings (2018) — 46 citations
- Online Hate Ratings Vary by Extremes: A Statistical Analysis (2019) — 55 citations
- Artificial intelligence in marketing: Topic modeling, scientometric analysis, and research agenda (2020) — 420 citations
- Anatomy of Online Hate: Developing a Taxonomy and Machine Learning Models for Identifying and Classifying Hate in Online News Media (2018) — 190 citations