Roberto Basili
Artificial Intelligence · 2006–2019
A researcher in the Science corpus: 6 papers; trusts 67 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 80 citations into it; #15,409 of 35,345 by trust here, #19,439 by citations
- Natural Language Processing — 40 citations into it; #2,554 of 5,688 by trust here, #4,601 by citations
- Computer Vision and Pattern Recognition — 16 citations into it; #16,698 of 21,575 by trust here, #19,766 by citations
- Statistical Learning Theory — 10 citations into it
- Evaluation & Benchmarks — 8 citations into it
- Information Extraction — 6 citations into it; #185 of 407 by trust here, #266 by citations
- Computational Theory and Mathematics — 5 citations into it
- Statistical and Nonlinear Physics — 5 citations into it
Whom Roberto Basili trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alessandro Moschitti
- John Shawe-Taylor
- Michael Collins
- Nello Cristianini
- Dell Zhang
- Thorsten Joachims
- Xin Li
- Geoffrey E. Hinton
- Rada Mihalcea
- Eugene Charniak
Who trusts Roberto Basili overall
- Danilo Croce
- Alessandro Moschitti
- Aliaksei Severyn
- Micah Hodosh
- Aasish Pappu
- Wen-tau Yih
- Bonaventura Coppola
- Pinar Yanardag
Papers from Roberto Basili's perspective
Ordered by how strongly the researchers Roberto Basili 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Semantic Kernels for Text Classification Based on Topological Measures of Feature Similarity (2006) — 79 citations
- 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
- Tree Kernels for Semantic Role Labeling (2008) — 179 citations