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Online Loss Function Learning


Jan 30, 2023
Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang

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An Efficient Evolutionary Deep Learning Framework Based on Multi-source Transfer Learning to Evolve Deep Convolutional Neural Networks


Dec 07, 2022
Bin Wang, Bing Xue, Mengjie Zhang

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Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations


Nov 28, 2022
Bin Wang, Wenbin Pei, Bing Xue, Mengjie Zhang

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Self-explaining Hierarchical Model for Intraoperative Time Series


Oct 10, 2022
Dingwen Li, Bing Xue, Christopher King, Bradley Fritz, Michael Avidan, Joanna Abraham, Chenyang Lu

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Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification


Sep 27, 2022
Ying Bi, Bing Xue, Mengjie Zhang

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* IEEE Transactions on Evolutionary Computation, 2022 
* Accepted by IEEE Transactions on Evolutionary Computation 

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Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning


Sep 19, 2022
Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang

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A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends


Sep 14, 2022
Ying Bi, Bing Xue, Pablo Mesejo, Stefano Cagnoni, Mengjie Zhang

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* IEEE Transactions on Evolutionary Computationm, 2022 
* Conditionally accepted by IEEE Transactions on Evolutionary Computation 

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Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues


Aug 23, 2022
Nan Li, Lianbo Ma, Guo Yu, Bing Xue, Mengjie Zhang, Yaochu Jin

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* 34 pages,6 figures 

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Impacts of Real Hands on 5G Millimeter-Wave Cellphone Antennas: Measurements and Electromagnetic Models


Aug 03, 2022
Bing Xue, Pasi Koivumaki, Lauri Vaha-Savo, Katsuyuki Haneda, Clemens Icheln

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* 11 pages, 17 figures, Journal 

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Genetic Programming for Manifold Learning: Preserving Local Topology


Aug 23, 2021
Andrew Lensen, Bing Xue, Mengjie Zhang

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* Accepted by IEEE Transactions on Evolutionary Computation, 2021 

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