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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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10/06/2022
hyperbox-brain: A Toolbox for Hyperbox-based Machine Learning Algorithms
Hyperbox-based machine learning algorithms are an important and popular ...
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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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05/09/2022
The Roles and Modes of Human Interactions with Automated Machine Learning Systems
As automated machine learning (AutoML) systems continue to progress in b...
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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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09/30/2020
An Online Learning Algorithm for a Neuro-Fuzzy Classifier with Mixed-Attribute Data
General fuzzy min-max neural network (GFMMNN) is one of the efficient ne...
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09/01/2020
An in-depth comparison of methods handling mixed-attribute data for general fuzzy min-max neural network
A general fuzzy min-max (GFMM) neural network is one of the efficient ne...
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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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07/17/2020
A Review of Meta-level Learning in the Context of Multi-component, Multi-level Evolving Prediction Systems
The exponential growth of volume, variety and velocity of data is raisin...
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06/11/2020
Scoring and Assessment in Medical VR Training Simulators with Dynamic Time Series Classification
This research proposes and evaluates scoring and assessment methods for ...
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06/05/2020
AutoHAS: Differentiable Hyper-parameter and Architecture Search
Neural Architecture Search (NAS) has achieved significant progress in pu...
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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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06/01/2020
Random Hyperboxes
This paper proposes a simple yet powerful ensemble classifier, called Ra...
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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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03/25/2020
Accelerated learning algorithms of general fuzzy min-max neural network using a branch-and-bound-based hyperbox selection rule
This paper proposes a method to accelerate the training process of gener...
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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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01/08/2020
An improved online learning algorithm for general fuzzy min-max neural network
This paper proposes an improved version of the current online learning a...
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07/31/2019
A comparative study of general fuzzy min-max neural networks for pattern classification problems
General fuzzy min-max (GFMM) neural network is a generalization of fuzzy...
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05/29/2019
An Effective Multi-Resolution Hierarchical Granular Representation based Classifier using General Fuzzy Min-Max Neural Network
Motivated by the practical demands for simplification of data towards be...
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01/31/2019
Hyperbox based machine learning algorithms: A comprehensive survey
With the rapid development of digital information, the data volume gener...
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12/27/2018