Brian Scassellati
Artificial Intelligence · 2000–2018
A researcher in the Science corpus: 17 papers; trusts 53 researchers and is trusted by 44 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 77 citations into it; #11,691 of 35,345 by trust here, #13,163 by citations
- Social Psychology — 71 citations into it; #1,569 of 15,694 by trust here, #1,720 by citations
- Cognitive Neuroscience — 64 citations into it; #1,604 of 10,852 by trust here, #4,170 by citations
- Control and Systems Engineering — 44 citations into it; #1,350 of 8,257 by trust here, #858 by citations
- Computer Vision and Pattern Recognition — 30 citations into it; #20,448 of 21,575 by trust here, #16,367 by citations
- Human-Computer Interaction — 28 citations into it; #1,085 of 2,253 by trust here, #546 by citations
- Developmental and Educational Psychology — 26 citations into it; #1,400 of 8,223 by trust here, #2,079 by citations
- Clinical Psychology — 17 citations into it
Whom Brian Scassellati trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Cynthia Lynn Breazeal
- Alan M. Leslie
- Ben Robins
- Kerstin Dautenhahn
- Laurent Itti
- Morgan Quigley
- A. Klin
- Ken Webb
- Stefan Schaal
- Paul Dickerson
Who trusts Brian Scassellati overall
- Cynthia Lynn Breazeal
- Joshua John Diehl
- Henny Admoni
- Bradley Hayes
- Jakub Złotowski
- A. Fiske
- Hideki Kozima
- Lauren M. Schmitt
- Mohammad Sadegh Norouzzadeh
- Ronald P. A. Petrick
Papers from Brian Scassellati's perspective
Ordered by how strongly the researchers Brian Scassellati 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)
- Gradient-based learning applied to document recognition
- Reinforcement Learning: An Introduction
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Robots that imitate humans. (2002) — 464 citations
- Autonomously constructing hierarchical task networks for planning and human-robot collaboration (2016) — 123 citations
- Theory of Mind for a Humanoid Robot (2002) — 441 citations
- Infant-like Social Interactions between a Robot and a Human Caregiver (2000) — 377 citations
- Humanoid Robots: A New Kind of Tool (2000) — 215 citations
- Robots for use in autism research. (2012) — 994 citations
- The Benefits of Interactions with Physically Present Robots over Video-Displayed Agents (2011) — 488 citations
- The effect of presence on human-robot interaction (2008) — 302 citations
- Social eye gaze in human-robot interaction (2017) — 554 citations
- The grand challenges of Science Robotics (2018) — 1,118 citations
- Improving social skills in children with ASD using a long-term, in-home social robot (2018) — 345 citations
- Social robots for education: A review (2018) — 1,423 citations
- Effective robot teammate behaviors for supporting sequential manipulation tasks (2015) — 39 citations
- Challenges in Shared-Environment Human-Robot Collaboration (2013)
- Social Robots as Embedded Reinforcers of Social Behavior in Children with Autism (2012) — 447 citations
- The Physical Presence of a Robot Tutor Increases Cognitive Learning Gains (2012) — 331 citations
- How Social Robots Will Help Us to Diagnose, Treat, and Understand Autism (2005) — 329 citations