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Automated Deep Learning: Neural Architecture Search Is Not the End


Dec 16, 2021
Xuanyi Dong, David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys

* 65 pages, 9 tables, 4 figures 

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Exploring Opportunistic Meta-knowledge to Reduce Search Spaces for Automated Machine Learning


May 01, 2021
Tien-Dung Nguyen, David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys

* International Joint Conference on Neural Network 2021 

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AutonoML: Towards an Integrated Framework for Autonomous Machine Learning


Dec 23, 2020
David Jacob Kedziora, Katarzyna Musial, Bogdan Gabrys


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AutoWeka4MCPS-AVATAR: Accelerating Automated Machine Learning Pipeline Composition and Optimisation


Nov 21, 2020
Tien-Dung Nguyen, Bogdan Gabrys, Katarzyna Musial

* arXiv admin note: substantial text overlap with arXiv:2001.11158 

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An Online Learning Algorithm for a Neuro-Fuzzy Classifier with Mixed-Attribute Data


Sep 30, 2020
Thanh Tung Khuat, Bogdan Gabrys


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NATS-Bench: Benchmarking NAS algorithms for Architecture Topology and Size


Sep 02, 2020
Xuanyi Dong, Lu Liu, Katarzyna Musial, Bogdan Gabrys

* An extended version of NAS-Bench-201 published in ICLR 2020. arXiv admin note: substantial text overlap with arXiv:2001.00326 

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An in-depth comparison of methods handling mixed-attribute data for general fuzzy min-max neural network


Sep 01, 2020
Thanh Tung Khuat, Bogdan Gabrys


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A Review of Meta-level Learning in the Context of Multi-component, Multi-level Evolving Prediction Systems


Jul 17, 2020
Abbas Raza Ali, Marcin Budka, Bogdan Gabrys


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Scoring and Assessment in Medical VR Training Simulators with Dynamic Time Series Classification


Jun 11, 2020
Neil Vaughan, Bogdan Gabrys

* Engineering Applications of Artificial Intelligence (2020) 103760 
* Copyright 2020. This manuscript version is made available under CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ 

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AutoHAS: Differentiable Hyper-parameter and Architecture Search


Jun 05, 2020
Xuanyi Dong, Mingxing Tan, Adams Wei Yu, Daiyi Peng, Bogdan Gabrys, Quoc V. Le


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Multi-level Graph Convolutional Networks for Cross-platform Anchor Link Prediction


Jun 02, 2020
Hongxu Chen, Hongzhi Yin, Xiangguo Sun, Tong Chen, Bogdan Gabrys, Katarzyna Musial

* To appear in KDD'20 

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Random Hyperboxes


Jun 01, 2020
Thanh Tung Khuat, Bogdan Gabrys


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Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey


May 13, 2020
Joakim Skarding, Bogdan Gabrys, Katarzyna Musial

* 21 pages, 8 figures 

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Accelerated learning algorithms of general fuzzy min-max neural network using a branch-and-bound-based hyperbox selection rule


Mar 25, 2020
Thanh Tung Khuat, Bogdan Gabrys


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AVATAR -- Machine Learning Pipeline Evaluation Using Surrogate Model


Feb 03, 2020
Tien-Dung Nguyen, Tomasz Maszczyk, Katarzyna Musial, Marc-Andre Zöller, Bogdan Gabrys

* The Eighteenth International Symposium on Intelligent Data Analysis, IDA 2020 

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An improved online learning algorithm for general fuzzy min-max neural network


Jan 08, 2020
Thanh Tung Khuat, Fang Chen, Bogdan Gabrys

* 9 pages, 8 tables, 6 figures 

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A comparative study of general fuzzy min-max neural networks for pattern classification problems


Jul 31, 2019
Thanh Tung Khuat, Bogdan Gabrys

* 18 pages, 7 figures, 12 tables 

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An Effective Multi-Resolution Hierarchical Granular Representation based Classifier using General Fuzzy Min-Max Neural Network


Jun 03, 2019
Thanh Tung Khuat, Fang Chen, Bogdan Gabrys

* 18 pages, 7 figures 

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Hyperbox based machine learning algorithms: A comprehensive survey


Mar 22, 2019
Thanh Tung Khuat, Dymitr Ruta, Bogdan Gabrys

* 7 figures 

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Generic adaptation strategies for automated machine learning


Dec 27, 2018
Rashid Bakirov, Bogdan Gabrys, Damien Fay


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Automatic composition and optimisation of multicomponent predictive systems


Dec 28, 2016
Manuel Martin Salvador, Marcin Budka, Bogdan Gabrys


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