Danilo Croce

Artificial Intelligence · 2011–2019

A researcher in the Science corpus: 4 papers; trusts 47 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 66 citations into it
• Natural Language Processing — 28 citations into it; #2,889 of 5,688 by trust here, #4,983 by citations
• Computer Vision and Pattern Recognition — 14 citations into it
• Statistical Learning Theory — 7 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Danilo Croce trusts overall

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

1. Alessandro Moschitti
2. John Shawe-Taylor
3. Xin Li
4. Thorsten Joachims
5. Michael Collins
6. Nello Cristianini
7. Rada Mihalcea
8. Eugene Charniak
9. Geoffrey E. Hinton
10. Karen Simonyan

Who trusts Danilo Croce overall

1. Wen-tau Yih
2. Pinar Yanardag
3. Kateryna Tymoshenko
4. Fabio Massimo Zanzotto
5. Marina Danilevsky
6. S. V. N. Vishwanathan
7. Vahed Qazvinian
8. Daniele Bonadiman
9. Daniele Rossini
10. Francesco Orsini

Papers from Danilo Croce's perspective

Ordered by how strongly the researchers Danilo Croce 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. ImageNet classification with deep convolutional neural networks
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Enabling deep learning for large scale question answering in Italian (2019) — 10 citations
• Auditing Deep Learning processes through Kernel-based Explanatory Models (2019) — 26 citations
• Effective Kernelized Online Learning in Language Processing Tasks (2014) — 8 citations
• Structured Lexical Similarity via Convolution Kernels on Dependency Trees (2011) — 149 citations