Computational modeling of behavioral attributes in conversational dyadic interactions 

Dynamic topology reconfiguration of Boltzmann machines on quantum annealers 

Designing an optimal software intensive system acquisition: a game theoretic approach 

Neuroscience inspired algorithms for lifelong learning and machine vision 

Reaching decisions in dynamic environments 

Machine learning of DNA shape and spatial geometry 

Artificial Decision Intelligence: integrating deep learning and combinatorial optimization 

Reward shaping and social learning in self- organizing systems through multi-agent reinforcement learning 

Neuromuscular dynamics in the context of motor redundancy 

Tensor learning for large-scale spatiotemporal analysis 

Learning shared subspaces across multiple views and modalities 

Machine-learning approaches for modeling of complex materials and media 

Closing the reality gap via simulation-based inference and control 

Deep learning models for temporal data in health care 

Mutual information estimation and its applications to machine learning 

Multimodal representation learning of affective behavior 

Concurrent monitoring and diagnosis of process and quality faults with canonical correlation analysis 

Spatiotemporal prediction with deep learning on graphs 

Making them gifted: how elementary makers’ spaces reveal giftedness 

Bayesian methods for autonomous learning systems 

Transfer learning for intelligent systems in the wild 

Efficient deep learning for inverse problems in scientific and medical imaging 

Physics-informed machine learning techniques for the estimation and uncertainty quantification of breath alcohol concentration from transdermal alcohol biosensor data 

Examining presence as an influence on learning engagement 

Learning to optimize the geometry and appearance from images