Ryan Shaun Joazeiro de Baker
Artificial Intelligence · 2004–2021
A researcher in the Science corpus: 15 papers; trusts 45 researchers and is trusted by 38 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 94 citations into it; #5,028 of 35,345 by trust here, #6,720 by citations
- Computer Science Applications — 47 citations into it; #49 of 1,855 by trust here, #88 by citations
- Developmental and Educational Psychology — 27 citations into it; #1,347 of 8,223 by trust here, #1,243 by citations
- Safety, Robustness & Interpretability — 21 citations into it
- Experimental and Cognitive Psychology — 19 citations into it
- Safety Research — 16 citations into it
- Education — 15 citations into it
- Sociology and Political Science — 15 citations into it
Whom Ryan Shaun Joazeiro de Baker trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Albert T. Corbett
- John R. Anderson
- K. Koedinger
- Hao Cen
- Cristina Conati
- James A. Hanley
- Kurt VanLehn
- A. Graesser
- Philip I. Pavlik
- Ben Green
Who trusts Ryan Shaun Joazeiro de Baker overall
- Cristóbal Romero
- R. Luckin
- Jinhee Kim
- Ben Kai Daniel
- Paulo Blikstein
- S. D’Mello
- K. Koedinger
- Sebastián Ventura
- Mutlu Cukurova
- Ashish Dutt
Papers from Ryan Shaun Joazeiro de Baker's perspective
Ordered by how strongly the researchers Ryan Shaun Joazeiro de Baker trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- New Potentials for Data-Driven Intelligent Tutoring System Development and Optimization (2013) — 200 citations
- Algorithmic Bias in Education (2021) — 671 citations
- Mining Big Data in Education: Affordances and Challenges (2020) — 313 citations
- Stupid Tutoring Systems, Intelligent Humans (2016) — 376 citations
- Off-task behavior in elementary school children (2016) — 121 citations
- The Cambridge Handbook of the Learning Sciences: Educational Data Mining and Learning Analytics (2014) — 700 citations
- A review of recent advances in learner and skill modeling in intelligent learning environments (2012) — 451 citations
- Learning analytics and educational data mining: towards communication and collaboration (2012) — 1,124 citations
- Better to be frustrated than bored: The incidence, persistence, and impact of learners' cognitive-affective states during interactions with three different computer-based learning environments (2010) — 908 citations
- A Data Repository for the EDM Community: The PSLC DataShop (2010) — 532 citations
- The State of Educational Data Mining in 2009: A Review and Future Visions. (2009) — 1,616 citations
- Why Students Engage in “Gaming the System” Behavior in Interactive Learning Environments (2008) — 321 citations
- More Accurate Student Modeling through Contextual Estimation of Slip and Guess Probabilities in Bayesian Knowledge Tracing (2008) — 514 citations
- Off-task behavior in the cognitive tutor classroom: when students "game the system" (2004) — 585 citations
- Detecting Student Misuse of Intelligent Tutoring Systems (2004) — 409 citations