
Pathology GAN: Learning deep representations of cancer tissue
We apply Generative Adversarial Networks (GANs) to the domain of digital...
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HAKD: Hardware Aware Knowledge Distillation
Despite recent developments, deploying deep neural networks on resource ...
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Learning a low dimensional manifold of real cancer tissue with PathologyGAN
Application of deep learning in digital pathology shows promise on impro...
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Reinforced Data Sampling for Model Diversification
With the rising number of machine learning competitions, the world has w...
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MuMMER: Socially Intelligent HumanRobot Interaction in Public Spaces
In the EUfunded MuMMER project, we have developed a social robot design...
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Adversarial Machine Learning Attack on Modulation Classification
Modulation classification is an important component of cognitive selfdr...
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Adversarial ML Attack on Self Organizing Cellular Networks
Deep Neural Networks (DNN) have been widely adopted in selforganizing n...
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Robotic Tactile Perception of Object Properties: A Review
Touch sensing can help robots understand their sur rounding environment...
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SingleShot Clothing Category Recognition in FreeConfigurations with Application to Autonomous Clothes Sorting
This paper proposes a singleshot approach for recognising clothing cate...
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MACS: An AgentBased Memetic Multiobjective Optimization Algorithm Applied to Space Trajectory Design
This paper presents an algorithm for multiobjective optimization that bl...
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An inflationary differential evolution algorithm for space trajectory optimization
In this paper we define a discrete dynamical system that governs the evo...
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PositionIndexed Formulations for Kidney Exchange
A kidney exchange is an organized barter market where patients in need o...
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On the Computational Complexity of Geometric Langevin Monte Carlo
Manifold Markov chain Monte Carlo algorithms have been introduced to sam...
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An nary Constraint for the Stable Marriage Problem
We present an nary constraint for the stable marriage problem. This con...
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Adaptive foveated singlepixel imaging with dynamic supersampling
As an alternative to conventional multipixel cameras, singlepixel came...
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MCMC for Variationally Sparse Gaussian Processes
Gaussian process (GP) models form a core part of probabilistic machine l...
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Bayesian Inference for Gaussian Process Classifiers with Annealing and PseudoMarginal MCMC
Kernel methods have revolutionized the fields of pattern recognition and...
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PseudoMarginal Bayesian Inference for Gaussian Processes
The main challenges that arise when adopting Gaussian Process priors in ...
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User guide to TIM, a raytracing program for forbidden ray optics
This user guide outlines the use of TIM, an interactive raytracing prog...
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DomainSpecific Acceleration and AutoParallelization of Legacy Scientific Code in FORTRAN 77 using SourcetoSource Compilation
Massively parallel accelerators such as GPGPUs, manycores and FPGAs repr...
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2D Image Convolution using Three Parallel Programming Models on the Xeon Phi
Image convolution is widely used for sharpening, blurring and edge detec...
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ForwardMode Automatic Differentiation in Julia
We present ForwardDiff, a Julia package for forwardmode automatic diffe...
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Solving Hard Stable Matching Problems Involving Groups of Similar Agents
Many important stable matching problems are known to be NPhard, even wh...
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Gender and Emotion Recognition with Implicit User Signals
We examine the utility of implicit user behavioral signals captured usin...
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Improving the identification of antigenic sites in the H1N1 Influenza virus through accounting for the experimental structure in a sparse hierarchical Bayesian model
Understanding how genetic changes allow emerging virus strains to escape...
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Combining guaranteed and spot markets in display advertising: selling guaranteed page views with stochastic demand
This paper proposes an optimal dynamic model for combining guaranteed an...
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VSEens: VisualSemantic Embeddings with Efficient Negative Sampling
Jointing visualsemantic embeddings (VSE) have become a research hotpot ...
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Deep Learning: An Introduction for Applied Mathematicians
Multilayered artificial neural networks are becoming a pervasive tool in...
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MCMC methods for inference in a mathematical model of pulmonary circulation
This study performs parameter inference in a partial differential equati...
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Formalising Sensor Topologies for Target Counting
We present a formal model developed to reason about topologies created b...
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Contrasting information theoretic decompositions of modulatory and arithmetic interactions in neural information processing systems
Biological and artificial neural systems are composed of many local proc...
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Making Sense of the World: Models for Reliable SensorDriven Systems
Sensordriven systems are increasingly ubiquitous: they provide both dat...
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A Review of Literature on Parallel Constraint Solving
As multicore computing is now standard, it seems irresponsible for const...
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An Integer Programming Approach to the StudentProject Allocation Problem with Preferences over Projects
The StudentProject Allocation problem with preferences over Projects (S...
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Functional Baby Talk: Analysis of Code Fragments from Novice Haskell Programmers
What kinds of mistakes are made by novice Haskell developers, as they le...
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Performance Analysis of Indoor THz Communications with OneBit Precoding
In this paper, the performance of indoor Terahertz (THz) communication s...
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Perception of Symmetries in Drawings of Graphs
Symmetry is an important factor in human perception in general, as well ...
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A Simple but HardtoBeat Baseline for Sessionbased Recommendations
Convolutional Neural Networks (CNNs) models have been recently introduce...
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A Short Note on Collecting Dependently Typed Values
Within dependently typed languages, such as Idris, types can depend on v...
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Efficient Egocentric Visual Perception Combining Eyetracking, a Software Retina and Deep Learning
We present ongoing work to harness biological approaches to achieving hi...
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On Secure Mixed RFFSO Systems With TAS and Imperfect CSI
In this work, we analyze the secrecy outage performance of a dualhop re...
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Adversarial Training Towards Robust Multimedia Recommender System
With the prevalence of multimedia content on the Web, developing recomme...
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Comparing Type Systems for DeadlockFreedom
Communicationcentric software systems exhibit non trivial forms of conc...
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Secrecy Outage Analysis for Cooperative NOMA Systems with Relay Selection Scheme
This paper considers the secrecy outage performance of a multiplerelay ...
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Recurrent Neural Networks for Fuzz Testing Web Browsers
Generationbased fuzzing is a software testing approach which is able to...
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Explaining Aggregates for Exploratory Analytics
Analysts wishing to explore multivariate data spaces, typically pose que...
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Towards Automatic Transformation of Legacy Scientific Code into OpenCL for Optimal Performance on FPGAs
There is a large body of legacy scientific code written in languages lik...
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AgentBased Modelling Approach for Distributed Decision Support in an IoT Network
An increasing number of emerging applications, e.g., internet of things,...
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Modelling Social Care Provision in An AgentBased Framework with Kinship Networks
Current demographic trends in the UK include a fastgrowing elderly popu...
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Gated deep neural networks for implied volatility surfaces
In this paper, we propose a gated deep neural network model to predict i...
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University of Glasgow
The University of Glasgow is the fourtholdest university in the Englishspeaking world and one of Scotland's four ancient universities.