Evolutionary computation and evolutionary deep learning for image analysis, signal processing and pattern recognition

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[1]  Mengjie Zhang,et al.  Genetic programming for detecting target motions , 2012, Connect. Sci..

[2]  Bin Wang,et al.  Evolving deep neural networks by multi-objective particle swarm optimization for image classification , 2019, GECCO.

[3]  W. Smart,et al.  Tracking Object Positions in Real-time Video using Genetic Programming , 2004 .

[4]  Mengjie Zhang,et al.  Completely Automated CNN Architecture Design Based on Blocks , 2020, IEEE Transactions on Neural Networks and Learning Systems.

[5]  Mengjie Zhang,et al.  Human-Interpretable Feature Pattern Classification System Using Learning Classifier Systems , 2014, Evolutionary Computation.

[6]  Michele Amoretti,et al.  Efficient Search of Relevant Structures in Complex Systems , 2016, AI*IA.

[7]  Michele Amoretti,et al.  An Iterative Information-Theoretic Approach to the Detection of Structures in Complex Systems , 2018, Complex..

[8]  Mark Johnston,et al.  A novel particle swarm optimisation approach to detecting continuous, thin and smooth edges in noisy images , 2013, Inf. Sci..

[9]  Mengjie Zhang,et al.  Genetic Programming for Automatic Stress Detection in Spoken English , 2006, EvoWorkshops.

[10]  Mengjie Zhang,et al.  A survey on evolutionary machine learning , 2019, Journal of the Royal Society of New Zealand.

[11]  Mengjie Zhang,et al.  A Particle Swarm Optimization-Based Flexible Convolutional Autoencoder for Image Classification , 2017, IEEE Transactions on Neural Networks and Learning Systems.

[12]  Mengjie Zhang,et al.  Evolving Deep Convolutional Neural Networks for Image Classification , 2017, IEEE Transactions on Evolutionary Computation.

[13]  Stefano Cagnoni,et al.  From Complex System Analysis to Pattern Recognition: Experimental Assessment of an Unsupervised Feature Extraction Method Based on the Relevance Index Metrics , 2019, Comput..

[14]  Mark Johnston,et al.  Investigating Particle Swarm Optimisation Topologies for Edge Detection in Noisy Images , 2011, Australasian Conference on Artificial Intelligence.

[15]  Mengjie Zhang,et al.  Evolutionary spatial auto-correlation for assessing earthquake liquefaction potential using Parallel Linear Genetic Programming , 2013, 2013 IEEE Congress on Evolutionary Computation.

[16]  Mengjie Zhang,et al.  An Experimental Study on Hyper-parameter Optimization for Stacked Auto-Encoders , 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).

[17]  Mengjie Zhang,et al.  Binary PSO and Rough Set Theory for Feature Selection: a Multi-objective filter Based Approach , 2014, Int. J. Comput. Intell. Appl..

[18]  Mengjie Zhang,et al.  An Automatic Feature Extraction Approach to Image Classification Using Genetic Programming , 2018, EvoApplications.

[19]  Mengjie Zhang,et al.  Genetic Programming for detecting rhythmic stress in spoken English , 2008, Int. J. Knowl. Based Intell. Eng. Syst..

[20]  Mark Johnston,et al.  Genetic Programming for Multiclass Texture Classification Using a Small Number of Instances , 2014, SEAL.

[21]  Jiancheng Lv,et al.  Automatically Designing CNN Architectures Using Genetic Algorithm for Image Classification , 2018, ArXiv.

[22]  Mengjie Zhang,et al.  Two-Tier genetic programming: towards raw pixel-based image classification , 2012, Expert Syst. Appl..

[23]  Mengjie Zhang,et al.  Extracting image features for classification by two-tier genetic programming , 2012, 2012 IEEE Congress on Evolutionary Computation.

[24]  Mengjie Zhang,et al.  Multiple feature construction for effective biomarker identification and classification using genetic programming , 2014, GECCO.

[25]  Mengjie Zhang,et al.  A Supervised Figure-Ground Segmentation Method Using Genetic Programming , 2015, EvoApplications.

[26]  Mengjie Zhang,et al.  Particle Swarm Optimization for Feature Selection in Classification: A Multi-Objective Approach , 2013, IEEE Transactions on Cybernetics.

[27]  Xin Yao,et al.  A Survey on Evolutionary Computation Approaches to Feature Selection , 2016, IEEE Transactions on Evolutionary Computation.

[28]  Mengjie Zhang,et al.  Gaussian Transformation Based Representation in Particle Swarm Optimisation for Feature Selection , 2015, EvoApplications.

[29]  Zhang Yi,et al.  Evolving Unsupervised Deep Neural Networks for Learning Meaningful Representations , 2017, IEEE Transactions on Evolutionary Computation.

[30]  Mengjie Zhang,et al.  Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor , 2020, IEEE Transactions on Evolutionary Computation.