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| Q124073045 | A Multi-objective Genetic Algorithm to Evolving Local Interpretable Model-agnostic Explanations for Deep Neural Networks in Image Classification |
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| Q126811106 | A Multi-tree Genetic Programming Representation for Melanoma Detection Using Local and Global Features |
| Q124072815 | A Multiform Optimization Framework for Constrained Multiobjective Optimization |
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| Q124072822 | A New Genetic Programming Representation for Feature Learning in Skin Cancer Detection |
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| Q124073079 | A New Two-Stage Evolutionary Algorithm for Many-Objective Optimization |
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| Q124072874 | A Semantic-Based Hoist Mutation Operator for Evolutionary Feature Construction in Regression |
| Q116757849 | A Survey on Evolutionary Computation Approaches to Feature Selection |
| Q124072852 | A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends |
| Q124072875 | A Survey on Evolutionary Multiobjective Feature Selection in Classification: Approaches, Applications, and Challenges |
| Q124072853 | A Survey on Evolutionary Neural Architecture Search |
| Q124072876 | A Survey on Unbalanced Classification: How Can Evolutionary Computation Help? |
| Q124073046 | A Two-Stage Differential Evolutionary Algorithm for Deep Ensemble Model Generation |
| Q58227905 | A hybrid Genetic Programming approach to feature detection and image classification |
| Q116757936 | A multi-objective particle swarm optimisation for filter-based feature selection in classification problems |
| Q124072863 | A new artificial intelligent approach to buoy detection for mussel farming |
| Q124073085 | A survey on evolutionary machine learning |
| Q124072823 | Absumption and Subsumption based Learning Classifier System for Real-World Continuous-based Problems |
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| Q116757809 | Absumption to complement subsumption in learning classifier systems |
| Q116757819 | Adapting Bagging and Boosting to Learning Classifier Systems |
| Q124072824 | An Effective One-Shot Neural Architecture Search Method with Supernet Fine-Tuning for Image Classification |
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| Q122628498 | ArcText: A Unified Text Approach to Describing Convolutional Neural Network Architectures |
| Q124072866 | Artificial Intelligence in New Zealand: applications and innovation |
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| Q93178235 | Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification |
| Q124072846 | Automatically Diagnosing Skin Cancers From Multimodality Images Using Two-Stage Genetic Programming |
| Q58227901 | Automatically Evolving Rotation-invariant Texture Image Descriptors by Genetic Programming |
| Q102382513 | Automatically Evolving Texture Image Descriptors using the Multi-tree Representation in Genetic Programming using Few Instances |
| Q124072877 | Balancing Different Optimization Difficulty Between Objectives in Multi-Objective Feature Selection |
| Q124072878 | Balancing Objective Optimization and Constraint Satisfaction in Expensive Constrained Evolutionary Multi-Objective Optimization |
| Q122504653 | BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search |
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| Q124073088 | Can Genetic Programming Do Manifold Learning Too? |
| Q124072825 | Co-operative Co-evolutionary Many-objective Embedded Multi-label Feature Selection with Decomposition-based PSO |
| Q93078553 | Completely Automated CNN Architecture Design Based on Blocks |
| Q124072807 | Contrastive Learning Assisted-Alignment for Partial Domain Adaptation |
| Q124072921 | Correlation-Guided Updating Strategy for Feature Selection in Classification With Surrogate-Assisted Particle Swarm Optimization |
| Q58227899 | Cross-Domain Reuse of Extracted Knowledge in Genetic Programming for Image Classification |
| Q124072817 | Detecting Overlapping Areas in Unbalanced High-Dimensional Data Using Neighborhood Rough Set and Genetic Programming |
| Q124072810 | Differential Evolution With Duplication Analysis for Feature Selection in Classification |
| Q124072851 | Differential Evolution-Based Feature Selection: A Niching-Based Multiobjective Approach |
| Q61757423 | Dimension reduction in classification using particle swarm optimisation and statistical variable grouping information |
| Q124073038 | Dual-Tree Genetic Programming for Few-Shot Image Classification |
| Q124073053 | EDE-NAS: An Eclectic Differential Evolution Approach to Single-Path Neural Architecture Search |
| Q124072828 | Evolutionary Computation for Feature Selection and Feature Construction |
| Q124072880 | Evolutionary Instance Selection With Multiple Partial Adaptive Classifiers for Domain Adaptation |
| Q124073039 | Evolutionary Multitasking for Feature Selection in High-Dimensional Classification via Particle Swarm Optimization |
| Q124072890 | Evolutionary Multitasking for Multi-Objective Feature Selection in Classification |
| Q124073067 | Evolutionary Neural Architecture Search for High-Dimensional Skip-Connection Structures on DenseNet Style Networks |
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| Q124072835 | Explainable Artificial Intelligence by Genetic Programming: A Survey |
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| Q61757439 | Gaussian Transformation Based Representation in Particle Swarm Optimisation for Feature Selection |
| Q124073069 | Generating Knowledge-Guided Discriminative Features Using Genetic Programming for Melanoma Detection |
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| Q124073072 | Genetic Programming With Image-Related Operators and a Flexible Program Structure for Feature Learning in Image Classification |
| Q89501121 | Genetic Programming With a New Representation to Automatically Learn Features and Evolve Ensembles for Image Classification |
| Q124072895 | Genetic Programming for Document Classification: A Transductive Transfer Learning System |
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| Q126811107 | Genetic Programming for Feature Selection and Feature Construction in Skin Cancer Image Classification |
| Q124072842 | Genetic Programming for Image Classification: A New Program Representation With Flexible Feature Reuse |
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| Q124073055 | Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification |
| Q124072832 | Genetic Programming-based Evolutionary Feature Construction for Heterogeneous Ensemble Learning [Hot of the Press] |
| Q126811103 | Genetic programming for automatic skin cancer image classification |
| Q127925594 | Genetic programming for multiple-feature construction on high-dimensional classification |
| Q126811108 | Genetic programming for skin cancer detection in dermoscopic images |
| Q124073089 | Genetic programming with transfer learning for texture image classification |
| Q124072849 | Graph Convolutional Reinforcement Learning for Advanced Energy-Aware Process Planning |
| Q124073068 | Guest Editorial Evolutionary Computation Meets Deep Learning |
| Q124073057 | Handling Different Preferences Between Objectives for Multi-objective Feature Selection in Classification |
| Q116757823 | Hierarchical Learning Classifier Systems for Polymorphism in Heterogeneous Niches |
| Q124072901 | Hyperspectral Real-Time Local Anomaly Detection Based on Finite Markov via Line-by-Line Processing |
| Q124073073 | Improved Crowding Distance in Multi-objective Optimization for Feature Selection in Classification |
| Q124073083 | Improving Generalization of Genetic Programming for Symbolic Regression With Angle-Driven Geometric Semantic Operators |
| Q129152465 | Improving performance of classification on incomplete data using feature selection and clustering |
| Q124072858 | Instance Selection-Based Surrogate-Assisted Genetic Programming for Feature Learning in Image Classification |
| Q124073037 | Investigating the Correlation Amongst the Objective and Constraints in Gaussian Process-Assisted Highly Constrained Expensive Optimization |
| Q124072904 | Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning |
| Q124073040 | Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning |
| Q124072805 | MAP-Elites for Genetic Programming-Based Ensemble Learning: An Interactive Approach [AI-eXplained] |
| Q124072910 | Modular Multi-Tree Genetic Programming for Evolutionary Feature Construction for Regression |
| Q124072833 | Multi-Objective Evolutionary Search of Compact Convolutional Neural Networks with Training-Free Estimation |
| Q124073076 | Multi-objective genetic programming for manifold learning: balancing quality and dimensionality |
| Q116757940 | Multi-objective particle swarm optimisation (PSO) for feature selection |
| Q126811105 | Multi-tree Genetic Programming with A New Fitness Function for Melanoma Detection |
| Q124072834 | Multiobjective Differential Evolution for Feature Selection in Classification |
| Q124073075 | Multiobjective Multitasking Optimization Based on Incremental Learning |
| Q124073078 | Multiple Reference Points-Based Decomposition for Multiobjective Feature Selection in Classification: Static and Dynamic Mechanisms |
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| Q124072850 | Multitask Feature Learning as Multiobjective Optimization: A New Genetic Programming Approach to Image Classification |
| Q124072916 | Multitree Genetic Programming With Feature-Based Transfer Learning for Symbolic Regression on Incomplete Data |
| Q111519897 | Multitree Genetic Programming With New Operators for Transfer Learning in Symbolic Regression With Incomplete Data |
| Q116757943 | New fitness functions in binary particle swarm optimisation for feature selection |
| Q61757435 | New mechanism for archive maintenance in PSO-based multi-objective feature selection |
| Q124073059 | Niching-Assisted Genetic Programming for Finding Multiple High-Quality Classifiers |
| Q116757930 | Novel Initialisation and Updating Mechanisms in PSO for Feature Selection in Classification |
| Q116757932 | PSO for feature construction and binary classification |
| Q61757450 | Particle Swarm Optimisation and Statistical Clustering for Feature Selection |
| Q111966185 | Particle Swarm Optimisation for Feature Selection in Classification |
| Q124072811 | Particle Swarm Optimization for Compact Neural Architecture Search for Image Classification |
| Q124072917 | Particle Swarm Optimization for Efficiently Evolving Deep Convolutional Neural Networks Using an Autoencoder-based Encoding Strategy |
| Q116757907 | Particle swarm optimisation for feature selection in classification: Novel initialisation and updating mechanisms |
| Q51138816 | Particle swarm optimization for feature selection in classification: a multi-objective approach. |
| Q91533732 | Preprocessing Tandem Mass Spectra Using Genetic Programming for Peptide Identification |
| Q124073070 | Preserving Population Diversity Based on Transformed Semantics in Genetic Programming for Symbolic Regression |
| Q97551479 | Rademacher Complexity for Enhancing the Generalization of Genetic Programming for Symbolic Regression |
| Q124072918 | SR-Forest: A Genetic Programming based Heterogeneous Ensemble Learning Method |
| Q124072799 | Skin Cancer Detection with Multimodal Data: A Feature Selection Approach Using Genetic Programming |
| Q124073060 | Solving Multi-objective Feature Selection Problems in Classification via Problem Reformulation and Duplication Handling |
| Q124072919 | Split-Level Evolutionary Neural Architecture Search With Elite Weight Inheritance |
| Q124073082 | Structural Risk Minimization-Driven Genetic Programming for Enhancing Generalization in Symbolic Regression |
| Q124073077 | Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor |
| Q114932692 | Surrogate-Assisted Particle Swarm Optimization for Evolving Variable-Length Transferable Blocks for Image Classification |
| Q124072798 | Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications, and Open Issues |
| Q124073084 | Variable-Length Particle Swarm Optimization for Feature Selection on High-Dimensional Classification |
| Q116757846 | Visualisation and Optimisation of Learning Classifier Systems for Multiple Domain Learning |
| Q116757795 | Visualizations for rule-based machine learning |
| Q124073074 | What Emotion Is Hate? Incorporating Emotion Information into the Hate Speech Detection Task |
| Q114226409 | Ying Bi, Bing Xue, Mengjie Zhang: Genetic programming for image classification—an automated approach to feature learning |
