
Enabling Un/SemiSupervised Machine Learning for MDSE of the RealWorld CPS/IoT Applications
In this paper, we propose a novel approach to support domainspecific Mo...
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Determining the Veracity of Rumours on Twitter
While social networks can provide an ideal platform for uptodate infor...
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In the mood: the dynamics of collective sentiments on Twitter
We study the relationship between the sentiment levels of Twitter users ...
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l1norm Penalized Orthogonal Forward Regression
A l1norm penalized orthogonal forward regression (l1POFR) algorithm is...
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Bayesian model comparison with unnormalised likelihoods
Models for which the likelihood function can be evaluated only up to a p...
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Lazier ABC
ABC algorithms involve a large number of simulations from the model of i...
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Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization
Tensors or multiarray data are generalizations of matrices. Tensor clust...
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Particle filters for applications in geosciences
Particle filters contain the promise of fully nonlinear data assimilatio...
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LFRic: Meeting the challenges of scalability and performance portability in Weather and Climate models
This paper describes LFRic: the new weather and climate modelling system...
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Perturbation Bounds for Monte Carlo within Metropolis via Restricted Approximations
The Monte Carlo within Metropolis (MCwM) algorithm, interpreted as a per...
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Precision of the ENDGame: Mixedprecision arithmetic in the iterative solver of the Unified Model
The Met Office's weather and climate simulation code the Unified Model i...
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Modelling the Demand and Uncertainty of Low Voltage Networks and the Effect of nonDomestic Consumers
The increasing use and spread of low carbon technologies are expected to...
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Sparse Least Squares Low Rank Kernel Machines
A general framework of least squares support vector machine with low ran...
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Ensemble MCMC: Accelerating PseudoMarginal MCMC for State Space Models using the Ensemble Kalman Filter
Particle Markov chain Monte Carlo (pMCMC) is now a popular method for pe...
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Analysis of parallel I/O use on the UK national supercomputing service, ARCHER using Cray LASSi and EPCC SAFE
In this paper, we describe how we have used a combination of the LASSi t...
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Residual estimates for postprocessors in elliptic problems
In this work we examine a posteriori error control for postprocessed ap...
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Spectral estimates for saddle point matrices arising in weak constraint fourdimensional variational data assimilation
We consider the largesparse symmetric linear systems of equations that ...
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Coupling Matrix Manifolds and Their Applications in Optimal Transport
Optimal transport (OT) is a powerful tool for measuring the distance bet...
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Lessons from reinforcement learning for biological representations of space
Neuroscientists postulate 3D representations in the brain in a variety o...
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Bayesian inference of dynamics from partial and noisy observations using data assimilation and machine learning
The reconstruction from observations of highdimensional chaotic dynamic...
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MCMC for Bayesian uncertainty quantification from timeseries data
Many problems in science and engineering require uncertainty quantificat...
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Reconstructing regimedependent causal relationships from observational time series
Inferring causal relations from observational time series data is a key ...
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A ModelDriven Engineering Approach to Machine Learning and Software Modeling
Models are used in both the Software Engineering (SE) and the Artificial...
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MLQuadrat DriotData: A ModelDriven Engineering Tool and a LowCode Platform for Smart IoT Services
In this paper, we present the novel early tool prototype of MLQuadrat, ...
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MDE4QAI: Towards ModelDriven Engineering for Quantum Artificial Intelligence
Over the past decade, Artificial Intelligence (AI) has provided enormous...
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A novel approach for modelling and classifying sittostand kinematics using inertial sensors
Sittostand transitions are an important part of activities of daily li...
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Distributed Representations of Atoms and Materials for Machine Learning
The use of machine learning is becoming increasingly common in computati...
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Efficient computation of matrixvector products with full observation weighting matrices in data assimilation
Recent studies have demonstrated improved skill in numerical weather pre...
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