A computational framework for diversity in ensembles of humans and machine systems 

Nonparametric ensemble learning and inference 

The relationship between small ensemble experiences, empathy, and emotional self-regulation skills in music students 

A learning‐based approach to image quality assessment 

Towards learning generalization 

The perception of high school instrumental music students regarding their musical leisure activities 

How contemporary worship musicians learn: a study of church musicking 

Object classification based on neural-network-inspired image transforms 

Betyárok Hungarian dance ensemble, 1978-04-09 

Efficient machine learning techniques for low- and high-dimensional data sources 

Leveraging training information for efficient and robust deep learning 

Novel algorithms for large scale supervised and one class learning 

Leveraging prior experience for scalable transfer in robot learning 

Predicting and planning against real-world adversaries: an end-to-end pipeline to combat illegal wildlife poachers on a global scale 

Music workshop 7, pts 1 & 2, BIBAK dance ensemble 

Integration of multi-physics data into dynamic reservoir model with ensemble Kalman filter 

Algorithms and systems for continual robot learning 

Exploring complexity reduction in deep learning 

Tensor learning for large-scale spatiotemporal analysis 

Real-world evaluation and deployment of wildlife crime prediction models 

Learning multi-annotator subjective label embeddings 

Labeling cost reduction techniques for deep learning: methodologies and applications 

Learning to diagnose from electronic health records data 

A comparison of a hierarchical vocal function warm-up regimen and a routine calisthenic warm-up procedure in the choral ensemble rehearsal 

Program-guided framework for your interpreting and acquiring complex skills with learning robots