Antigoni-Maria Founta

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 42 citations into it
• Natural Language Processing — 31 citations into it; #5,523 of 5,688 by trust here, #2,172 by citations
• Information Systems — 23 citations into it
• Safety, Robustness & Interpretability — 17 citations into it; #2,159 of 2,251 by trust here, #856 by citations

Whom Antigoni-Maria Founta trusts overall

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

1. William Warner
2. Björn Gambäck
3. Akshita Jha
4. Zeerak Talat
5. Pinkesh Badjatiya
6. Despoina Chatzakou
7. Shervin Malmasi
8. Ji Ho Park
9. Yashar Mehdad
10. P. Burnap

Who trusts Antigoni-Maria Founta overall

1. Bertie Vidgen
2. Svetlana Kiritchenko
3. Maarten Sap
4. Rui Cao
5. Isar Nejadgholi
6. Michael Wiegand
7. Alexandra Sasha Luccioni
8. Roy Ka-Wei Lee
9. Endang Wahyu Pamungkas
10. Michael Castelle

Papers from Antigoni-Maria Founta's perspective

Ordered by how strongly the researchers Antigoni-Maria Founta 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. GloVe: Global Vectors for Word Representation
7. ImageNet classification with deep convolutional neural networks
8. Gradient-based learning applied to document recognition
9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior (2018) — 824 citations
• A Unified Deep Learning Architecture for Abuse Detection (2018) — 250 citations