Fabrício Benevenuto
Artificial Intelligence · 2009–2019
A researcher in the Science corpus: 12 papers; trusts 21 researchers and is trusted by 21 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 74 citations into it; #19,699 of 35,345 by trust here, #11,624 by citations
- Statistical and Nonlinear Physics — 51 citations into it; #2,536 of 10,127 by trust here, #535 by citations
- Information Systems — 44 citations into it; #7,526 of 8,771 by trust here, #1,933 by citations
- Natural Language Processing — 33 citations into it; #5,085 of 5,688 by trust here, #3,053 by citations
- Social Psychology — 9 citations into it
- Human-Computer Interaction — 7 citations into it
- Information Retrieval & Search — 6 citations into it
- Experimental and Cognitive Psychology — 5 citations into it
Whom Fabrício Benevenuto trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jure Leskovec
- Patrali Chatterjee
- Johan Bollen
- George A. Miller
- Yong-Yeol Ahn
- Alan Mislove
- Bernardo A. Huberman
- R. Fisher
- Donna L. Hoffman
- Theresa Wilson
Who trusts Fabrício Benevenuto overall
- Gang Wang
- Farshad Kooti
- Joni O. Salminen
- Zhi Yang
- Christo Wilson
- Jing Jiang
- Henrique Pinto
- Alireza Alaei
- Meeyoung Cha
- Lu Jiang
Papers from Fabrício Benevenuto's perspective
Ordered by how strongly the researchers Fabrício Benevenuto trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
Their papers
- Analyzing the Targets of Hate in Online Social Media (2016) — 377 citations
- Measuring User Influence in Twitter: The Million Follower Fallacy (2010) — 3,363 citations
- Who Makes Trends? Understanding Demographic Biases in Crowdsourced Recommendations (2017) — 78 citations
- Understanding and combating link farming in the twitter social network (2012) — 409 citations
- The tube over time: characterizing popularity growth of youtube videos (2011) — 315 citations
- Demographics of News Sharing in the U.S. Twittersphere (2017) — 34 citations
- Supervised Learning for Fake News Detection (2019) — 425 citations
- Potential for Discrimination in Online Targeted Advertising (2018) — 199 citations
- A Measurement Study of Hate Speech in Social Media (2017) — 317 citations
- A Benchmark Comparison of State-of-the-Practice Sentiment Analysis Methods (2015) — 353 citations
- Comparing and combining sentiment analysis methods (2013) — 447 citations
- Characterizing user behavior in online social networks (2009) — 904 citations