Axel-Cyrille Ngonga Ngomo
Artificial Intelligence · 2011–2020
A researcher in the Science corpus: 10 papers; trusts 62 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 180 citations into it; #21,188 of 35,345 by trust here, #10,942 by citations
- Natural Language Processing — 81 citations into it; #3,396 of 5,688 by trust here, #2,695 by citations
- Information Systems — 59 citations into it; #8,408 of 8,771 by trust here, #3,198 by citations
- Management Science and Operations Research — 36 citations into it; #9,153 of 11,946 by trust here, #4,602 by citations
- Computer Networks and Communications — 27 citations into it
- Computer Vision and Pattern Recognition — 27 citations into it
- Molecular Biology — 23 citations into it
- Evaluation & Benchmarks — 21 citations into it; #2,473 of 3,147 by trust here, #1,574 by citations
Whom Axel-Cyrille Ngonga Ngomo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Christian Bizer
- Rico Sennrich
- Mikhail Bilenko
- Philipp Koehn
- Yoshua Bengio
- Geoffrey E. Hinton
- Roberto Navigli
- Ilya Sutskever
- Tomas Mikolov
- Dzmitry Bahdanau
Who trusts Axel-Cyrille Ngonga Ngomo overall
- Tom Heath
- Jens Lehmann
- Mohamed Morsey
- Claus Stadler
- Christian Bizer
- Sören Auer
- Felix Stahlberg
- Yanyan Zou
- Konrad Höffner
Papers from Axel-Cyrille Ngonga Ngomo's perspective
Ordered by how strongly the researchers Axel-Cyrille Ngonga Ngomo trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- 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
Their papers
- Template-based question answering over RDF data (2012) — 544 citations
- GERBIL - Benchmarking Named Entity Recognition and Linking consistently (2017) — 95 citations
- Augmenting Neural Machine Translation with Knowledge Graphs (2019) — 27 citations
- DBpedia SPARQL Benchmark - Performance Assessment with Real Queries on Real Data (2011) — 331 citations
- Knowledge Graphs (2020) — 2,597 citations
- An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition (2015) — 831 citations
- RDF2PT: Generating Brazilian Portuguese Texts from RDF Data (2018) — 14 citations
- Question Answering over Linked Data (QALD-4) (2014) — 174 citations
- Multilingual Question Answering over Linked Data (QALD-3): Lab Overview (2013) — 82 citations
- LIMES - A Time-Efficient Approach for Large-Scale Link Discovery on the Web of Data (2011) — 485 citations