Bernard Jim Jansen
Artificial Intelligence · 2000–2020
A researcher in the Science corpus: 14 papers; trusts 38 researchers and is trusted by 31 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 103 citations into it; #23,362 of 35,345 by trust here, #6,956 by citations
- Information Systems — 71 citations into it; #659 of 8,771 by trust here, #582 by citations
- Natural Language Processing — 58 citations into it
- Communication — 44 citations into it; #2,458 of 3,460 by trust here, #1,044 by citations
- Sociology and Political Science — 34 citations into it; #19,023 of 22,756 by trust here, #3,411 by citations
- Safety, Robustness & Interpretability — 26 citations into it
- Marketing — 9 citations into it; #1,028 of 6,289 by trust here, #3,097 by citations
- Computer Networks and Communications — 8 citations into it
Whom Bernard Jim Jansen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Amanda Spink
- Andrei Z. Broder
- Diane Kelly
- Daniel E. Rose
- Chun Wei Choo
- Tefko Saracevic
- Eric R. Ziegel
- Jaime Teevan
- Udo W. Pooch
- Inho Kang
Who trusts Bernard Jim Jansen overall
- Diane Kelly
- Daniel R. Fesenmaier
- Reijo Savolainen
- Zheng Xiang
- Ryen W. White
- Peter Ingwersen
- Mohamed M. Mostafa
- Claire Fautsch
- Bing Pan
- Amanda Spink
Papers from Bernard Jim Jansen's perspective
Ordered by how strongly the researchers Bernard Jim Jansen trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Attention is All you Need (Neural Information Processing Systems)
- Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
- Gradient-based learning applied to document recognition
Their papers
- Twitter power: Tweets as electronic word of mouth (2009) — 2,000 citations
- Developing an online hate classifier for multiple social media platforms (2020) — 268 citations
- Real life, real users, and real needs: a study and analysis of user queries on the web (2000) — 1,501 citations
- Determining the informational, navigational, and transactional intent of Web queries (2008) — 530 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
- Search log analysis: What it is, what's been done, how to do it (2006) — 305 citations
- The effect of ad rank on the performance of keyword advertising campaigns (2013) — 46 citations
- Anatomy of Online Hate: Developing a Taxonomy and Machine Learning Models for Identifying and Classifying Hate in Online News Media (2018) — 190 citations
- Detecting Rumors from Microblogs with Recurrent Neural Networks (2016) — 1,331 citations
- Classifying text messages for the haiti earthquake (2011) — 205 citations
- How are we searching the World Wide Web? A comparison of nine search engine transaction logs (2006) — 899 citations
- From E-Sex to E-Commerce: Web Search Changes (2002) — 539 citations
- A review of Web searching studies and a framework for future research (2001) — 521 citations