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09/05/2023
Inferring Actual Treatment Pathways from Patient Records
Treatment pathways are step-by-step plans outlining the recommended medi...
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08/27/2023
Machine Learning for Administrative Health Records: A Systematic Review of Techniques and Applications
Machine learning provides many powerful and effective techniques for ana...
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08/18/2023
Digital Twin-Oriented Complex Networked Systems based on Heterogeneous node features and interaction rules
This study proposes an extendable modelling framework for Digital Twin-O...
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01/12/2023
A Network Science perspective of Graph Convolutional Networks: A survey
The mining and exploitation of graph structural information have been th...
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11/08/2022
The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry
With most technical fields, there exists a delay between fundamental aca...
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08/08/2022
On Taking Advantage of Opportunistic Meta-knowledge to Reduce Configuration Spaces for Automated Machine Learning
The automated machine learning (AutoML) process can require searching th...
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12/16/2021
Automated Deep Learning: Neural Architecture Search Is Not the End
Deep learning (DL) has proven to be a highly effective approach for deve...
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05/01/2021
Exploring Opportunistic Meta-knowledge to Reduce Search Spaces for Automated Machine Learning
Machine learning (ML) pipeline composition and optimisation have been st...
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12/23/2020
AutonoML: Towards an Integrated Framework for Autonomous Machine Learning
Over the last decade, the long-running endeavour to automate high-level ...
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11/21/2020
AutoWeka4MCPS-AVATAR: Accelerating Automated Machine Learning Pipeline Composition and Optimisation
Automated machine learning pipeline (ML) composition and optimisation ai...
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08/28/2020
NATS-Bench: Benchmarking NAS algorithms for Architecture Topology and Size
Neural architecture search (NAS) has attracted a lot of attention and ha...
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06/02/2020
Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction
Cross-platform account matching plays a significant role in social netwo...
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05/13/2020
Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey
Dynamic networks are used in a wide range of fields, including social ne...
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01/30/2020
AVATAR – Machine Learning Pipeline Evaluation Using Surrogate Model
The evaluation of machine learning (ML) pipelines is essential during au...
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01/06/2020
A Block-based Generative Model for Attributed Networks Embedding
Attributed network embedding has attracted plenty of interests in recent...
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10/11/2019
Sub-query Fragmentation for Query Analysis and Data Caching in the Distributed Environment
When data stores and users are distributed geographically, it is essenti...
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05/22/2019
Simulation and Augmentation of Social Networks for Building Deep Learning Models
A limitation of the Graph Convolutional Networks (GCN) is that it assume...
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10/05/2015
