Athena Vakali

Artificial Intelligence · 2003–2018

A researcher in the Science corpus: 7 papers; trusts 37 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 74 citations into it; #17,248 of 35,345 by trust here, #14,181 by citations
• Statistical and Nonlinear Physics — 42 citations into it; #6,441 of 10,127 by trust here, #6,727 by citations
• Information Systems — 38 citations into it
• Natural Language Processing — 34 citations into it; #5,518 of 5,688 by trust here, #2,172 by citations
• Computer Networks and Communications — 25 citations into it
• Safety, Robustness & Interpretability — 19 citations into it; #2,154 of 2,251 by trust here, #856 by citations
• Communication — 15 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it

Whom Athena Vakali trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Mark Newman
2. Santo Fortunato
3. Aaron Clauset
4. Alex Arenas
5. Anil K. Jain
6. Bamshad Mobasher
7. Michelle Girvan
8. Satu Elisa Schaeffer
9. Jordi Duch
10. Peter Mika

Who trusts Athena Vakali overall

1. Jiale Zhang
2. Bing Chen
3. George Pallis
4. Jiliang Tang
5. Svetlana Kiritchenko
6. Rui Cao
7. Bertie Vidgen

Papers from Athena Vakali's perspective

Ordered by how strongly the researchers Athena Vakali trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
3. Efficient Estimation of Word Representations in Vector Space
4. GloVe: Global Vectors for Word Representation
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet classification with deep convolutional neural networks
7. Normalized cuts and image segmentation
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Gradient-based learning applied to document recognition

Their papers

• Mean Birds: Detecting Aggression and Bullying on Twitter (2017) — 435 citations
• Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior (2018) — 824 citations
• A Unified Deep Learning Architecture for Abuse Detection (2018) — 250 citations
• Community detection in Social Media (2012) — 621 citations
• Cloud Computing: Distributed Internet Computing for IT and Scientific Research (2009) — 918 citations
• Insight and perspectives for content delivery networks (2006) — 491 citations
• Content Delivery Networks: Status and Trends (2003) — 467 citations