Conference Proceeding RDF
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- Learning about Complexity with Modular Robots
- Learning and predicting brain dynamics from fMRI: a spectral approach
- Learning and the Net Generation
- Learning and Verification of Feedback Control Systems using Feedforward Neural Networks
- Learning Assistants’ Conceptualizations of Equitable Access in Active Learning Mathematics
- Learning at multiple timescales
- Learning at the boundaries of research and practice: A framework for understanding research-practice partnerships
- Learning Computing through Transformative Works: A Case Study of Game Modding
- Learning deep disentangled representations with the F-statistic loss
- Learning Engineering for the Professional Science Communicator
- Learning Engineering Practices Through Drones: Iterative design of an informal learning curriculum
- Learning fixed-complexity polyhedral Lyapunov functions from counterexamples
- LEARNING FROM A FAILURE IN THREAT ASSESSMENT: STRATEGIES FOR SHARING INFORMATION TO PROMOTE SAFETY
- Learning from biological systems: Novel routes to biomimetic synthesis of ordered silica structures
- Learning from Word Books: Does the Type of Illustration Matter?
- Learning genetic regulatory network connectivity from time series data
- Learning human-like knowledge by singular value decomposition: A progress report
- Learning in aphasia: The impact of a rest break during a treatment session
- Learning in matrix games can be arbitrarily complex
- Learning Lyapunov (Potential) Functions from Counterexamples and Demonstrations
- Learning Optimal Solutions for Extremely Fast AC Optimal Power Flow
- Learning Peripersonal Space Representation in a Humanoid Robot with Artificial Skin
- Learning peripersonal space representation through artificial skin for avoidance and reaching with whole body surface
- Learning physics by listening to children
- Learning relational concepts through unitary versus compositional representations
- Learning science while caring for pets: Findings from a virtual workshop for teens
- Learning scientific practices through participation as a volunteer community scientist
- Learning semantic links from a corpus of parallel temporal and causal relations
- Learning Solutions for Intertemporal Power Systems Optimization with Recurrent Neural Networks
- Learning Statics by Feeling: Effects of Everyday Examples on Confidence and Identity Development