Giovanni Da San Martino
Artificial Intelligence · 2009–2021
A researcher in the Science corpus: 11 papers; trusts 75 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 86 citations into it; #9,763 of 35,345 by trust here, #14,438 by citations
- Natural Language Processing — 66 citations into it
- Sociology and Political Science — 40 citations into it; #11,427 of 22,756 by trust here, #11,516 by citations
- Information Systems — 38 citations into it; #3,239 of 8,771 by trust here, #5,501 by citations
- Evaluation & Benchmarks — 23 citations into it
- Graph Learning — 23 citations into it
- Computer Vision and Pattern Recognition — 19 citations into it; #8,574 of 21,575 by trust here, #14,822 by citations
- Safety, Robustness & Interpretability — 16 citations into it
Whom Giovanni Da San Martino trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nino Shervashidze
- Karsten M. Borgwardt
- Michael Collins
- Fabrizio Costa
- Pierre Mahé
- Geoffrey E. Hinton
- Nathalie Japkowicz
- S. V. N. Vishwanathan
- Jacob Devlin
- Hannah Rashkin
Who trusts Giovanni Da San Martino overall
- Nicoló Navarin
- Nils M. Kriege
- Alessandro Sperduti
- Alberto Barrón-Cedeño
- Davide Bacciu
- Preslav Nakov
- Fredrik D. Johansson
- Dinh Van Tran
- Kung-Hsiang Huang
- Stefano Cresci
Papers from Giovanni Da San Martino's perspective
Ordered by how strongly the researchers Giovanni Da San Martino 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
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Fine-Grained Analysis of Propaganda in News Article (2019) — 398 citations
- Automated Fact-Checking for Assisting Human Fact-Checkers (2021) — 316 citations
- Findings of the NLP4IF-2019 Shared Task on Fine-Grained Propaganda Detection (2019) — 90 citations
- A memory efficient graph kernel (2012) — 16 citations
- SemEval-2020 Task 11: Detection of Propaganda Techniques in News Articles (2020) — 283 citations
- Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a Document (2021) — 31 citations
- A Survey on Computational Propaganda Detection (2020) — 216 citations
- Tree-Based Kernel for Graphs With Continuous Attributes (2015) — 28 citations
- Ordered Decompositional DAG kernels enhancements (2015) — 22 citations
- A Tree-Based Kernel for Graphs (2012) — 56 citations
- Learning Nonsparse Kernels by Self-Organizing Maps for Structured Data (2009) — 27 citations