
Optimising energy and overhead for large parameter space simulations
Many systems require optimisation over multiple objectives, where object...
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Online Deep Reinforcement Learning for Autonomous UAV Navigation and Exploration of Outdoor Environments
With the rapidly growing expansion in the use of UAVs, the ability to au...
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Discriminative Latent Semantic Graph for Video Captioning
Video captioning aims to automatically generate natural language sentenc...
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An Exploration of Dropout with RNNs for Natural Language Inference
Dropout is a crucial regularization technique for the Recurrent Neural N...
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Facets, Tiers and Gems: Ontology Patterns for Hypernormalisation
There are many methodologies and techniques for easing the task of ontol...
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User and Developer Interaction with Editable and Readable Ontologies
The process of building ontologies is a difficult task that involves col...
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The BioDynaMo Project
Computer simulations have become a very powerful tool for scientific res...
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Ensembles of Deep LSTM Learners for Activity Recognition using Wearables
Recently, deep learning (DL) methods have been introduced very successfu...
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How, What and Why to test an ontology
Ontology development relates to software development in that they both i...
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An ABC interpretation of the multiple auxiliary variable method
We show that the auxiliary variable method (Møller et al., 2006; Murray ...
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Exploring Programmable SelfAssembly in NonDNA based Molecular Computing
Selfassembly is a phenomenon observed in nature at all scales where aut...
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An evolutionary approach to Function
Background: Understanding the distinction between function and role is v...
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Augmenting BagofWords: DataDriven Discovery of Temporal and Structural Information for Activity Recognition
We present datadriven techniques to augment Bag of Words (BoW) models, ...
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From Word Segmentation to POS Tagging for Vietnamese
This paper presents an empirical comparison of two strategies for Vietna...
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A Fast and Accurate Vietnamese Word Segmenter
We propose a novel approach to Vietnamese word segmentation. Our approac...
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Identitas: A Better Way To Be Meaningless
It is often recommended that identifiers for ontology terms should be se...
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Loom: Queryaware Partitioning of Online Graphs
As with general graph processing systems, partitioning data over a clust...
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Bayesian Probabilistic Numerical Methods
The emergent field of probabilistic numerics has thus far lacked clear s...
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Probabilistic Numerical Methods for PDEconstrained Bayesian Inverse Problems
This paper develops meshless methods for probabilistically describing di...
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Estimating the number of casualties in the American Indian war: a Bayesian analysis using the power law distribution
The American Indian war lasted over one hundred years, and is a major ev...
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Simultaneous Registration and Clustering for Multidimensional Functional Data
The clustering for functional data with misaligned problems has drawn mu...
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Design of Polar Codes with Single and MultiCarrier Modulation on Impulsive Noise Channels using Density Evolution
In this paper, density evolutionbased construction methods to design go...
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VnCoreNLP: A Vietnamese Natural Language Processing Toolkit
We present an easytouse and fast toolkit, namely VnCoreNLPa Java NL...
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A Bayesian Conjugate Gradient Method
A fundamental task in numerical computation is the solution of large lin...
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Blackbox Variational Inference for Stochastic Differential Equations
Parameter inference for stochastic differential equations is challenging...
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Correlated pseudomarginal schemes for timediscretised stochastic kinetic models
Performing fully Bayesian inference for the reaction rate constants gove...
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Efficient construction of Bayes optimal designs for stochastic process models
Stochastic process models are now commonly used to analyse complex biolo...
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Bayesian inference for a partially observed birthdeath process using data on proportions
Stochastic kinetic models are often used to describe complex biological ...
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An evaluation of estimation techniques for probabilistic reachability
We evaluate numericallyprecise Monte Carlo (MC), QuasiMonte Carlo (QMC...
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On and OffBlockchain Enforcement Of Smart Contracts
In this paper we discuss how conventional business contracts can be conv...
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Kernel and wavelet density estimators on manifolds and more general metric spaces
We consider the problem of estimating the density of observations taking...
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Fractal and multifractal properties of electrographic recordings of human brain activity
The brain is a system operating on multiple time scales, and characteris...
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On the ranking of Test match batsmen
Ranking sportsmen whose careers took place in different eras is often a ...
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Sequential Bayesian inference for spatiotemporal models of temperature and humidity data
We develop a spatiotemporal model to forecast sensor output at five loc...
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Marginally Parametrized SpatioTemporal Models and Stepwise Maximum Likelihood Estimation
In order to learn the complex features of large spatiotemporal data, mo...
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Schoenberg coefficients and curvature at the origin of continuous isotropic positive definite kernels on spheres
We consider the class Ψ_d of continuous functions ψ [0,π] →R, with ψ(0)=...
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Modeling Daily Seasonality of Mexico City Ozone using Nonseparable Covariance Models on Circles Cross Time
Mexico City tracks groundlevel ozone levels to assess compliance with n...
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Implementation of Smart Contracts Using Hybrid Architectures with On and OffBlockchain Components
Recently, decentralised (onblockchain) platforms have emerged to comple...
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Identifying the effect of public holidays on daily demand for gas
To reduce operational costs, gas distribution networks require accurate ...
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Efficient sampling of conditioned Markov jump processes
We consider the task of generating draws from a Markov jump process (MJP...
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Symmetry Exploits for Bayesian Cubature Methods
Bayesian cubature provides a flexible framework for numerical integratio...
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Demonstration Abstract: A Toolkit for Specifying Service Level Agreements for IoT applications
Today we see the use of the Internet of Things (IoT) in various applicat...
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Measuring Expert Performance at Manually Classifying Domain Entities under Upper Ontology Classes
Classifying entities in domain ontologies under upper ontology classes i...
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EndtoEnd Service Level Agreement Specification for IoT Applications
The Internet of Things (IoT) promises to help solve a wide range of issu...
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A Social Network Analysis of Articles on Social Network Analysis
A collection of articles on the statistical modelling and inference of s...
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Highly Efficient Stepped Wedge Designs for Clusters of Unequal Size
The Stepped Wedge Designs(SWD) is a form of cluster randomized trial, us...
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Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning
Graphs are a commonly used construct for representing relationships betw...
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BlackBox Autoregressive Density Estimation for StateSpace Models
Statespace models (SSMs) provide a flexible framework for modelling tim...
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Robust CrossView Gait Identification with Evidence: A Discriminant Gait GAN (DiGGAN) Approach on 10000 People
Gait is an important biometric trait for surveillance and forensic appli...
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Predicting the Computational Cost of Deep Learning Models
Deep learning is rapidly becoming a goto tool for many artificial intel...
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Newcastle University
Newcastle University is a public research university in Newcastle upon Tyne in the North East of England.