Christian S. Jensen

Artificial Intelligence · 2000–2024

A researcher in the Science corpus: 17 papers; trusts 72 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 51 citations into it; #19,649 of 35,345 by trust here, #16,471 by citations
• Signal Processing — 50 citations into it; #1,214 of 7,572 by trust here, #1,012 by citations
• Sociology and Political Science — 24 citations into it
• Computer Vision and Pattern Recognition — 22 citations into it; #17,500 of 21,575 by trust here, #16,787 by citations
• Information Systems — 22 citations into it; #4,042 of 8,771 by trust here, #3,012 by citations
• Computer Networks and Communications — 21 citations into it; #7,371 of 9,886 by trust here, #3,993 by citations
• Natural Language Processing — 17 citations into it
• Geography, Planning and Development — 16 citations into it; #205 of 489 by trust here, #91 by citations

Whom Christian S. Jensen trusts overall

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

1. Alex Graves
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Ilya Sutskever
5. Diederik P. Kingma
6. Tomas Mikolov
7. Justin Zobel
8. Sepp Hochreiter
9. Kyunghyun Cho
10. Latanya Sweeney

Who trusts Christian S. Jensen overall

1. Yufei Tao
2. Elias Frentzos
3. Amit P. Sheth
4. Prasad Chakka
5. Dimitris Papadias
6. Xiaohui Yu
7. Yu Zheng
8. Mohamed F. Mokbel
9. Gao Cong
10. Xiaopeng Xiong

Papers from Christian S. Jensen's perspective

Ordered by how strongly the researchers Christian S. Jensen trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Google fusion tables: web-centered data management and collaboration (2010) — 188 citations
• Google fusion tables: data management, integration and collaboration in the cloud (2010) — 135 citations
• The science and philosophy of martial arts: exploring the connections between the cognitive, physical, and spiritual aspects of martial arts (2024) — 450 citations
• Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting (2022) — 378 citations
• Deep Representation Learning for Trajectory Similarity Computation (2018) — 302 citations
• Spatial Keyword Query Processing: An Experimental Evaluation (2013) — 340 citations
• Collective spatial keyword querying (2011) — 387 citations
• Mining significant semantic locations from GPS data (2010) — 379 citations
• Efficient Retrieval of the Top-k Most Relevant Spatial Web Objects (2009) — 675 citations
• Web Services Business Process Execution Language (2009) — 531 citations
• SpaceTwist: Managing the Trade-Offs Among Location Privacy, Query Performance, and Query Accuracy in Mobile Services (2008) — 390 citations
• Discovery of convoys in trajectory databases (2008) — 497 citations
• Nearest neighbor and reverse nearest neighbor queries for moving objects (2002) — 295 citations
• Novel Approaches to the Indexing of Moving Object Trajectories (2000) — 434 citations
• Indexing the positions of continuously moving objects (2000) — 1,032 citations
• A foundation for representing and querying moving objects (2000) — 859 citations
• Novel Approaches in Query Processing for Moving Object Trajectories (2000) — 501 citations