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Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection
Deep Learning has achieved state of the art performance in medical imagi...
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A Branching and Merging Convolutional Network with Homogeneous Filter Capsules
We present a convolutional neural network design with additional branche...
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On the Importance of Capturing a Sufficient Diversity of Perspective for the Classification of micro-PCBs
We present a dataset consisting of high-resolution images of 13 micro-PC...
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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...
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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 ...
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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...
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Holoscopic 3D Micro-Gesture Database for Wearable Device Interaction
With the rapid development of augmented reality (AR) and virtual reality...
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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...
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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...
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Causal Linearizability: Compositionality for Partially Ordered Executions
In the interleaving model of concurrency, where events are totally order...
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Replication studies considered harmful
CONTEXT: There is growing interest in establishing software engineering ...
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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...
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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...
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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...
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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...
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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...
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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...
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The Effect of Noise on Sofware Engineers' Performance
Background: Noise, defined as an unwanted sound, is one of the commonest...
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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...
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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...
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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...
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Effective rate analysis over Fluctuating Beckmann fading channels
The effective rate of Fluctuating Beckmann (FB) fading channel is analys...
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Adaptive Morphological Reconstruction for Seeded Image Segmentation
Morphological reconstruction (MR) is often employed by seeded image segm...
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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...
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A Systematic Review of Unsupervised Learning Techniques for Software Defect Prediction
Background: Unsupervised machine learners have been increasingly applied...
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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...
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Revisiting integral functionals of geometric Brownian motion
In this paper we revisit the integral functional of geometric Brownian m...
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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...
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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...
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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...
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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...
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The impact of using biased performance metrics on software defect prediction research
Context: Software engineering researchers have undertaken many experimen...
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