Michael A. Osborne
Publications by Year
Research Areas
Gaussian Processes and Bayesian Inference, Advanced Bandit Algorithms Research, Advanced Multi-Objective Optimization Algorithms, Machine Learning and Algorithms, Machine Learning and Data Classification
Most-Cited Works
- → The future of employment: How susceptible are jobs to computerisation?(2016)8,002 cited
- → Gaussian process regression for forecasting battery state of health(2017)643 cited
- → Gaussian processes for time-series modelling(2013)611 cited
- → A Gaussian process framework for modelling stellar activity signals in radial velocity data(2015)393 cited
- → Gaussian Process Regression for <italic>In Situ</italic> Capacity Estimation of Lithium-Ion Batteries(2018)376 cited
- → A Gaussian process framework for modelling instrumental systematics: application to transmission spectroscopy(2011)304 cited
- The future of skills: employment in 2030(2017)
- Probabilistic numerics and uncertainty in computations(2015)
- Battery health prediction under generalized conditions using a Gaussian\n process transition model(2018)
- → Bayesian optimization for sensor set selection(2010)152 cited