Katia P. Sycara
Artificial Intelligence · 2000–2019
A researcher in the Science corpus: 18 papers; trusts 144 researchers and is trusted by 29 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 95 citations into it; #7,953 of 35,345 by trust here, #4,860 by citations
- Reinforcement Learning — 52 citations into it
- Computer Networks and Communications — 34 citations into it; #3,984 of 9,886 by trust here, #2,300 by citations
- Information Systems — 31 citations into it; #1,552 of 8,771 by trust here, #1,778 by citations
- Management Information Systems — 28 citations into it; #1,563 of 3,376 by trust here, #576 by citations
- Computer Vision and Pattern Recognition — 23 citations into it; #19,448 of 21,575 by trust here, #15,529 by citations
- Natural Language Processing — 21 citations into it
- Management Science and Operations Research — 17 citations into it
Whom Katia P. Sycara trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Massimo Paolucci
- Richard S. Sutton
- Diederik P. Kingma
- Marc G. Bellemare
- Yoshua Bengio
- Alex Krizhevsky
- Yann LeCun
- Ronald J. Williams
- Volodymyr Mnih
Who trusts Katia P. Sycara overall
- Danny Weyns
- E. Michael Maximilien
- Matthias Klusch
- Massimo Paolucci
- Munindar P. Singh
- David L. Martin
- Benedikt Fries
- Milan Erdelj
- Kunal Verma
- Kaarthik Sivashanmugam
Papers from Katia P. Sycara's perspective
Ordered by how strongly the researchers Katia P. Sycara trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Dialogue act modeling for automatic tagging and recognition of conversational speech (2000) — 2,914 citations
- Towards Better Interpretability in Deep Q-Networks (2018) — 69 citations
- Transparency and Explanation in Deep Reinforcement Learning Neural Networks (2018) — 195 citations
- Learning Transferable Cooperative Behavior in Multi-Agent Teams (2019) — 157 citations
- Human Interaction With Robot Swarms: A Survey (2016) — 398 citations
- OWLS-MX: A hybrid Semantic Web service matchmaker for OWL-S services (2009) — 320 citations
- Sharing inventory risk in supply chain: The implication of financial constraint (2009) — 223 citations
- Bringing Semantics to Web Services with OWL-S (2007) — 579 citations
- Automated semantic web service discovery with OWLS-MX (2006) — 618 citations
- Human-robot teaming for search and rescue (2005) — 319 citations
- A Roadmap of Agent Research and Development (2004) — 2,370 citations
- Bringing Semantics to Web Services: The OWL-S Approach (2004) — 940 citations
- The RETSINA MAS Infrastructure (2003) — 349 citations
- Automated discovery, interaction and composition of Semantic Web services (2003) — 701 citations
- Semantic Matching of Web Services Capabilities (2002) — 2,559 citations
- Larks: Dynamic Matchmaking Among Heterogeneous Software Agents in Cyberspace (2002) — 544 citations
- Importing the Semantic Web in UDDI (2002) — 443 citations
- DAML-S: Semantic Markup for Web Services (2001) — 3,340 citations