Flavius Frasincar
Artificial Intelligence · 2010–2022
A researcher in the Science corpus: 4 papers; trusts 380 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 94 citations into it; #31,285 of 35,345 by trust here, #20,836 by citations
- Computer Vision and Pattern Recognition — 38 citations into it
- Natural Language Processing — 35 citations into it
- Model Architectures — 23 citations into it
- Information Systems — 15 citations into it
- Multimodal Learning — 9 citations into it
- Speech & Audio — 7 citations into it
- Signal Processing — 6 citations into it
Whom Flavius Frasincar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Ronald J. Williams
- Diederik P. Kingma
- Alex Krizhevsky
- Ilya Sutskever
- Alex Graves
- Kaiming He
- Yann LeCun
- Dzmitry Bahdanau
Who trusts Flavius Frasincar overall
Papers from Flavius Frasincar's perspective
Ordered by how strongly the researchers Flavius Frasincar 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- 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
- An Automated Framework for Incorporating News into Stock Trading Strategies (2014) — 88 citations
- A General Survey on Attention Mechanisms in Deep Learning (2022) — 619 citations
- Survey on Aspect-Level Sentiment Analysis (2016) — 775 citations
- Ontology-based news recommendation (2010) — 192 citations