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02/27/2023
Predicting the Performance of a Computing System with Deep Networks
Predicting the performance and energy consumption of computing hardware ...
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12/12/2022
Siamese Neural Networks for Skin Cancer Classification and New Class Detection using Clinical and Dermoscopic Image Datasets
Skin cancer is the most common malignancy in the world. Automated skin c...
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09/14/2022
Analysis of Reinforcement Learning for determining task replication in workflows
Executing workflows on volunteer computing resources where individual ta...
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07/11/2022
Long-term Reproducibility for Neural Architecture Search
It is a sad reflection of modern academia that code is often ignored aft...
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04/20/2022
SpiderNet: Hybrid Differentiable-Evolutionary Architecture Search via Train-Free Metrics
Neural Architecture Search (NAS) algorithms are intended to remove the b...
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11/24/2021
Application of deep learning to camera trap data for ecologists in planning / engineering – Can captivity imagery train a model which generalises to the wild?
Understanding the abundance of a species is the first step towards under...
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11/20/2020
Resolving the cybersecurity Data Sharing Paradox to scale up cybersecurity via a co-production approach towards data sharing
As cybercriminals scale up their operations to increase their profits or...
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10/23/2020
Not Half Bad: Exploring Half-Precision in Graph Convolutional Neural Networks
With the growing significance of graphs as an effective representation o...
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09/10/2020
Rank over Class: The Untapped Potential of Ranking in Natural Language Processing
Text classification has long been a staple in natural language processin...
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11/19/2019
Volenti non fit injuria: Ransomware and its Victims
With the recent growth in the number of malicious activities on the inte...
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08/19/2019
A Kings Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation
Newly emerging variants of ransomware pose an ever-growing threat to com...
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04/28/2019
TMIXT: A process flow for Transcribing MIXed handwritten and machine-printed Text
Handling large corpuses of documents is of significant importance in man...
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11/28/2018
Predicting the Computational Cost of Deep Learning Models
Deep learning is rapidly becoming a go-to tool for many artificial intel...
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11/20/2018
Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning
Graphs are a commonly used construct for representing relationships betw...
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06/19/2018