Publications

A Practical Bayesian Framework for Backpropagation Networks

A quantitative and practical Bayesian framework is described for learning of mappings in feedforward networks. The framework makes possible (1) objective comparisons between sol...

Metal–organic frameworks: a new class of porous materials

Stable Metal–Organic Frameworks: Design, Synthesis, and Applications

Abstract Metal–organic frameworks (MOFs) are an emerging class of porous materials with potential applications in gas storage, separations, catalysis, and chemical sensing. Desp...

MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation

MRtrix3 is an open-source, cross-platform software package for medical image processing, analysis and visualisation, with a particular emphasis on the investigation of the brain...

Selective binding and removal of guests in a microporous metal–organic framework

Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

Timely accurate traffic forecast is crucial for urban traffic control and guidance. Due to the high nonlinearity and complexity of traffic flow, traditional methods cannot satis...

A route to high surface area, porosity and inclusion of large molecules in crystals

A framework for human microbiome research

This FAIRsharing record describes: The NIH Common Fund Human Microbiome Project (HMP) was established in 2008, with the mission of generating resources that would enable the com...

The Nature and Determinants of Customer Expectations of Service

AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations

This article reports the findings of AI4People, an Atomium—EISMD initiative designed to lay the foundations for a “Good AI Society”. We introduce the core opportunities and risk...

Markov games as a framework for multi-agent reinforcement learning

An Algorithmic Framework for Performing Collaborative Filtering

column Share on An Algorithmic Framework for Performing Collaborative Filtering Authors: Jonathan L. Herlocker University of Minnesota University of MinnesotaView Profile , Jose...