| Bayesian autoregressive spectral estimation | 0 | 0.34 | 2021 |
| Mogptk: The Multi-Output Gaussian Process Toolkit | 0 | 0.34 | 2021 |
| Detection of blue whale vocalisations using a temporal-domain convolutional neural network | 0 | 0.34 | 2021 |
| Data Science for Engineers: A Teaching Ecosystem | 0 | 0.34 | 2021 |
| Bayesian Reconstruction of Fourier Pairs | 0 | 0.34 | 2021 |
| Predicting nationwide obesity from food sales using machine learning. | 0 | 0.34 | 2020 |
| Compositionally-warped Gaussian processes. | 1 | 0.40 | 2019 |
| Low-Pass Filtering As Bayesian Inference | 0 | 0.34 | 2019 |
| Compositionally-Warped Gaussian Processes. | 0 | 0.34 | 2019 |
| Band-Limited Gaussian Processes: The Sinc Kernel | 0 | 0.34 | 2019 |
| Bayesian Nonparametric Spectral Estimation. | 0 | 0.34 | 2018 |
| Bayesian Learning with Wasserstein Barycenters. | 1 | 0.35 | 2018 |
| Robust Detection of Extreme Events Using Twitter: Worldwide Earthquake Monitoring. | 3 | 0.37 | 2018 |
| Improving battery voltage prediction in an electric bicycle using altitude measurements and kernel adaptive filters. | 2 | 0.38 | 2018 |
| Echo state network and variational autoencoder for efficient one-class learning on dynamical systems. | 0 | 0.34 | 2018 |
| Spectral Mixture Kernels for Multi-Output Gaussian Processes | 4 | 0.39 | 2017 |
| Improving sparsity in kernel adaptive filters using a unit-norm dictionary | 1 | 0.36 | 2017 |
| Recovering Latent Signals From a Mixture of Measurements Using a Gaussian Process Prior. | 0 | 0.34 | 2017 |
| Initialising kernel adaptive filters via probabilistic inference | 2 | 0.40 | 2017 |
| Modelling time series via automatic learning of basis functions. | 1 | 0.39 | 2016 |
| Unsupervised State-Space Modelling Using Reproducing Kernels | 5 | 0.47 | 2015 |
| Design of Positive-Definite Quaternion Kernels | 2 | 0.38 | 2015 |
| Learning Stationary Time Series using Gaussian Processes with Nonparametric Kernels | 9 | 0.63 | 2015 |
| Modelling Of Complex Signals Using Gaussian Processes | 2 | 0.41 | 2015 |
| The Widely Linear Quaternion Recursive Total Least Squares | 0 | 0.34 | 2015 |
| Multikernel least mean square algorithm. | 20 | 0.87 | 2014 |
| Estimation of financial indices volatility using a model with time-varying parameters | 1 | 0.43 | 2014 |
| Quaternion Reproducing Kernel Hilbert Spaces: Existence and Uniqueness Conditions | 19 | 0.80 | 2014 |
| The quaternion kernel least squares | 8 | 0.55 | 2013 |
| A novel augmented complex valued kernel LMS | 20 | 0.97 | 2012 |
