Brunel University London

Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection

Deep Learning has achieved state of the art performance in medical imagi...
03/22/2020 ∙ by Biraja Ghoshal, et al. ∙ 34 ∙ share

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A Branching and Merging Convolutional Network with Homogeneous Filter Capsules

We present a convolutional neural network design with additional branche...
01/24/2020 ∙ by Adam Byerly, et al. ∙ 7 ∙ share

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Meta-QSAR: a large-scale application of meta-learning to drug design and discovery

We investigate the learning of quantitative structure activity relations...
09/12/2017 ∙ by Ivan Olier, et al. ∙ 0 ∙ share

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A Collection of Challenging Optimization Problems in Science, Engineering and Economics

Function optimization and finding simultaneous solutions of a system of ...
04/09/2015 ∙ by Dhagash Mehta, et al. ∙ 0 ∙ share

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Conditional probability generation methods for high reliability effects-based decision making

Decision making is often based on Bayesian networks. The building blocks...
12/28/2015 ∙ by Wolfgang Garn, et al. ∙ 0 ∙ share

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Holoscopic 3D Micro-Gesture Database for Wearable Device Interaction

With the rapid development of augmented reality (AR) and virtual reality...
12/15/2017 ∙ by YI LIU, et al. ∙ 0 ∙ share

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Identifying overlapping terrorist cells from the Noordin Top actor-event network

Actor-event data are common in sociological settings, whereby one regist...
10/27/2017 ∙ by Saverio Ranciati, et al. ∙ 0 ∙ share

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Discrete Weibull generalised additive model: an application to count fertility data

Fertility plans, measured by the number of planned children, have been f...
01/24/2018 ∙ by Alina Peluso, et al. ∙ 0 ∙ share

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Causal Linearizability: Compositionality for Partially Ordered Executions

In the interleaving model of concurrency, where events are totally order...
02/06/2018 ∙ by Simon Doherty, et al. ∙ 0 ∙ share

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Replication studies considered harmful

CONTEXT: There is growing interest in establishing software engineering ...
02/13/2018 ∙ by Martin Shepperd, et al. ∙ 0 ∙ share

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Analysing Developers Affectiveness through Markov chain Models

In this paper, we present an analysis of more than 500K comments from op...
03/17/2018 ∙ by Giuseppe Destefanis, et al. ∙ 0 ∙ share

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An Experimental Evaluation of a De-biasing Intervention for Professional Software Developers

CONTEXT: The role of expert judgement is essential in our quest to impro...
04/11/2018 ∙ by Martin Shepperd, et al. ∙ 0 ∙ share

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Unified approaches based effective capacity analysis over composite α-η-μ/gamma fading channels

This letter analyses the effective capacity of communications system usi...
04/24/2018 ∙ by H. Al-Hmood, et al. ∙ 0 ∙ share

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Effective throughput of MISO systems over κ-μ shadowed fading channels: MGF based analysis

The effective throughput of multiple-input single-output (MISO) wireless...
04/29/2018 ∙ by H. Al-Hmood, et al. ∙ 0 ∙ share

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Security Performance Analysis of Physical Layer over Fisher-Snedecor F Fading Channels

In this letter, the performance analysis of physical layer security over...
05/19/2018 ∙ by Hussien Al-Hmood, et al. ∙ 0 ∙ share

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A Longitudinal Cohort Study on the Retainment of Test-Driven Development

Background: Test-Driven Development (TDD) is an agile software developme...
07/09/2018 ∙ by Davide Fucci, et al. ∙ 0 ∙ share

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The Effect of Noise on Sofware Engineers' Performance

Background: Noise, defined as an unwanted sound, is one of the commonest...
07/11/2018 ∙ by Simone Romano, et al. ∙ 0 ∙ share

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A computationally efficient correlated mixed Probit for credit risk modelling

Mixed Probit models are widely applied in many fields where prediction o...
08/21/2018 ∙ by Elisa Tosetti, et al. ∙ 0 ∙ share

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Specimens as research objects: reconciliation across distributed repositories to enable metadata propagation

Botanical specimens are shared as long-term consultable research objects...
09/20/2018 ∙ by Nicky Nicolson, et al. ∙ 0 ∙ share

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Inferencing into the void: problems with implicit populations Comments on `Empirical software engineering experts on the use of students and professionals in experiments'

I welcome the contribution from Falessi et al. [1] hereafter referred to...
10/17/2018 ∙ by Martin Shepperd, et al. ∙ 0 ∙ share

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Effective rate analysis over Fluctuating Beckmann fading channels

The effective rate of Fluctuating Beckmann (FB) fading channel is analys...
03/17/2019 ∙ by Hussien Al-Hmood, et al. ∙ 0 ∙ share

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Adaptive Morphological Reconstruction for Seeded Image Segmentation

Morphological reconstruction (MR) is often employed by seeded image segm...
04/08/2019 ∙ by Tao Lei, et al. ∙ 0 ∙ share

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Selection Combining Scheme over Non-identically Distributed Fisher-Snedecor F Fading Channels

In this paper, the performance of the selection combining (SC) scheme ov...
05/06/2019 ∙ by Hussien Al-Hmood, et al. ∙ 0 ∙ share

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A Systematic Review of Unsupervised Learning Techniques for Software Defect Prediction

Background: Unsupervised machine learners have been increasingly applied...
07/28/2019 ∙ by Ning Li, et al. ∙ 0 ∙ share

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Finite Element Approximation and Analysis of Viscoelastic Wave Propagation with Internal Variable Formulations

We consider linear scalar wave equations with a hereditary integral term...
01/14/2020 ∙ by Yongseok Jang, et al. ∙ 0 ∙ share

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Revisiting integral functionals of geometric Brownian motion

In this paper we revisit the integral functional of geometric Brownian m...
01/31/2020 ∙ by Elena Boguslavskaya, et al. ∙ 0 ∙ share

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An efficient automated data analytics approach to large scale computational comparative linguistics

This research project aimed to overcome the challenge of analysing human...
01/31/2020 ∙ by Gabija Mikulyte, et al. ∙ 0 ∙ share

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Soft Random Graphs in Probabilistic Metric Spaces Inter-graph Distance

We present a new method for learning Soft Random Geometric Graphs (SRGGs...
02/03/2020 ∙ by Kangrui Wang, et al. ∙ 0 ∙ share

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Assessing Software Defection Prediction Performance: Why Using the Matthews Correlation Coefficient Matters

Context: There is considerable diversity in the range and design of comp...
03/02/2020 ∙ by Jingxiu Yao, et al. ∙ 0 ∙ share

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A priori error analysis for a finite element approximation of dynamic viscoelasticity problems involving a fractional order integro-differential constitutive law

We consider a fractional order viscoelasticity problem modelled by a pow...
07/01/2020 ∙ by Yongseok Jang, et al. ∙ 0 ∙ share

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