Nicholas R. Jennings
Artificial Intelligence · 2000–2022
A researcher in the Science corpus: 27 papers; trusts 62 researchers and is trusted by 51 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 117 citations into it; #3,932 of 35,345 by trust here, #5,390 by citations
- Computer Networks and Communications — 71 citations into it; #1,942 of 9,886 by trust here, #1,593 by citations
- Sociology and Political Science — 35 citations into it; #12,918 of 22,756 by trust here, #15,556 by citations
- Management Science and Operations Research — 33 citations into it; #2,385 of 11,946 by trust here, #3,705 by citations
- Information Systems — 30 citations into it; #1,051 of 8,771 by trust here, #1,307 by citations
- Reinforcement Learning — 23 citations into it
- Signal Processing — 19 citations into it
- Computational Theory and Mathematics — 17 citations into it
Whom Nicholas R. Jennings trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ian T Foster
- Michael J. Wooldridge
- Barbara Messing
- T. Landauer
- David John Cameron MacKay
- Sarit Kraus
- Fabio Ciravegna
- Diederik P. Kingma
- Yair Weiss
- Peyman Faratin
Who trusts Nicholas R. Jennings overall
- Sarvapali D. Ramchurn
- Jacques Ferber
- Mohammad Abdur Razzaque
- Lin Padgham
- Iyad Rahwan
- Carles Sierra
- Olivier Gutknecht
- Ian T Foster
- Massimo Cossentino
- Trung Dong Huynh
Papers from Nicholas R. Jennings's perspective
Ordered by how strongly the researchers Nicholas R. Jennings trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- GENERATIVE ADVERSARIAL NETS
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Towards Real-Time Information Processing of Sensor Network Data Using Computationally Efficient Multi-output Gaussian Processes (2008) — 189 citations
- Using similarity criteria to make issue trade-offs in automated negotiations (2002) — 617 citations
- Putting the 'smarts' into the smart grid (2012) — 527 citations
- Trust in multi-agent systems (2004) — 754 citations
- Computational-Mechanism Design: A Call to Arms (2003) — 361 citations
- On agent-based software engineering (2000) — 908 citations
- An agenda-based framework for multi-issue negotiation (2004) — 392 citations
- TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data (2022) — 1,012 citations
- Machine behaviour (2019) — 1,247 citations
- Monte-Carlo Expectation Maximization for Decentralized POMDPs (2013) — 50 citations
- Agent-based control for decentralised demand side management in the smart grid (2011) — 410 citations
- Agent-based micro-storage management for the Smart Grid (2010) — 358 citations
- Bounded approximate decentralised coordination via the max-sum algorithm (2009) — 201 citations
- Frontiers in Artificial Intelligence and Applications (2009) — 556 citations
- Decentralised coordination of low-power embedded devices using the max-sum algorithm (2008) — 419 citations
- TRAVOS: Trust and Reputation in the Context of Inaccurate Information Sources (2006) — 600 citations
- The Semantic Grid: Past, Present, and Future (2005) — 295 citations
- Self-organized routing for wireless microsensor networks (2005) — 105 citations
- A Roadmap of Agent Research and Development (2004) — 2,370 citations
- Brain Meets Brawn: Why Grid and Agents Need Each Other (2004) — 485 citations