Bing Xue
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Engineering Computer Science
Bing Xue's Degrees
- PhD Computer Science Stanford University
- Masters Electrical Engineering University of California, Berkeley
- Bachelors Computer Engineering University of California, Berkeley
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(Suggest an Edit or Addition)Bing Xue's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- A Survey on Evolutionary Computation Approaches to Feature Selection (2016) (1096)
- Particle Swarm Optimization for Feature Selection in Classification: A Multi-Objective Approach (2013) (897)
- Particle swarm optimisation for feature selection in classification: Novel initialisation and updating mechanisms (2014) (467)
- Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification (2018) (367)
- Evolving Deep Convolutional Neural Networks for Image Classification (2017) (364)
- Differential evolution for filter feature selection based on information theory and feature ranking (2018) (236)
- Pareto front feature selection based on artificial bee colony optimization (2018) (226)
- Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification (2019) (173)
- A survey on swarm intelligence approaches to feature selection in data mining (2020) (148)
- Genetic programming for feature construction and selection in classification on high-dimensional data (2016) (147)
- Binary particle swarm optimisation for feature selection: A filter based approach (2012) (144)
- A binary ABC algorithm based on advanced similarity scheme for feature selection (2015) (140)
- Completely Automated CNN Architecture Design Based on Blocks (2020) (129)
- A survey on evolutionary machine learning (2019) (123)
- Variable-Length Particle Swarm Optimization for Feature Selection on High-Dimensional Classification (2019) (122)
- A Survey on Evolutionary Neural Architecture Search (2020) (121)
- Evolving Deep Convolutional Neural Networks by Variable-Length Particle Swarm Optimization for Image Classification (2018) (120)
- A New Representation in PSO for Discretization-Based Feature Selection (2018) (112)
- A multi-objective particle swarm optimisation for filter-based feature selection in classification problems (2012) (94)
- A Particle Swarm Optimization-Based Flexible Convolutional Autoencoder for Image Classification (2017) (93)
- Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression (2017) (90)
- Multi-objective particle swarm optimisation (PSO) for feature selection (2012) (90)
- Cross-Domain Reuse of Extracted Knowledge in Genetic Programming for Image Classification (2017) (84)
- New fitness functions in binary particle swarm optimisation for feature selection (2012) (80)
- Automatically Evolving Rotation-Invariant Texture Image Descriptors by Genetic Programming (2017) (76)
- Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor (2020) (71)
- A survey on feature selection approaches for clustering (2020) (69)
- A multi-objective artificial bee colony approach to feature selection using fuzzy mutual information (2015) (63)
- A New Two-Stage Evolutionary Algorithm for Many-Objective Optimization (2019) (60)
- Multi-objective Feature Selection in Classification: A Differential Evolution Approach (2014) (56)
- Bacterial foraging based approaches to portfolio optimization with liquidity risk (2012) (56)
- An Efficient Feature Selection Algorithm for Evolving Job Shop Scheduling Rules With Genetic Programming (2017) (55)
- Binary PSO and Rough Set Theory for Feature Selection: a Multi-objective filter Based Approach (2014) (54)
- Multi-objective Evolutionary Algorithms for filter Based Feature Selection in Classification (2013) (54)
- A Comprehensive Comparison on Evolutionary Feature Selection Approaches to Classification (2015) (53)
- Genetic programming for multiple-feature construction on high-dimensional classification (2019) (50)
- Improved binary particle swarm optimization for feature selection with new initialization and search space reduction strategies (2021) (48)
- Evolving deep neural networks by multi-objective particle swarm optimization for image classification (2019) (47)
- Novel Initialisation and Updating Mechanisms in PSO for Feature Selection in Classification (2013) (47)
- Improved PSO for Feature Selection on High-Dimensional Datasets (2014) (46)
- A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification (2018) (46)
- Multiple Reference Points-Based Decomposition for Multiobjective Feature Selection in Classification: Static and Dynamic Mechanisms (2020) (45)
- Gaussian Based Particle Swarm Optimisation and Statistical Clustering for Feature Selection (2014) (45)
- Filter based backward elimination in wrapper based PSO for feature selection in classification (2014) (45)
- Multiple feature construction for effective biomarker identification and classification using genetic programming (2014) (45)
- Multi-objective feature selection using hybridization of a genetic algorithm and direct multisearch for key quality characteristic selection (2020) (42)
- A New Binary Particle Swarm Optimization Approach: Momentum and Dynamic Balance Between Exploration and Exploitation (2021) (42)
- Multiobjective Multitasking Optimization Based on Incremental Learning (2020) (38)
- New mechanism for archive maintenance in PSO-based multi-objective feature selection (2016) (38)
- Genetic Programming for Region Detection, Feature Extraction, Feature Construction and Classification in Image Data (2016) (38)
- A PSO based hybrid feature selection algorithm for high-dimensional classification (2016) (37)
- A Hybrid Genetic Programming Algorithm for Automated Design of Dispatching Rules (2019) (37)
- An Evolutionary Multitasking-Based Feature Selection Method for High-Dimensional Classification (2020) (35)
- Overview of Particle Swarm Optimisation for Feature Selection in Classification (2014) (35)
- Evolutionary Neural Architecture Search for High-Dimensional Skip-Connection Structures on DenseNet Style Networks (2021) (35)
- Particle Swarm Optimisation and Statistical Clustering for Feature Selection (2013) (35)
- A Multi-objective Feature Selection Approach Based on Binary PSO and Rough Set Theory (2013) (35)
- Particle swarm optimisation for feature selection: A hybrid filter-wrapper approach (2015) (35)
- Generalisation and domain adaptation in GP with gradient descent for symbolic regression (2015) (34)
- An Experimental Study on Hyper-parameter Optimization for Stacked Auto-Encoders (2018) (33)
- Improving Generalization of Genetic Programming for Symbolic Regression With Angle-Driven Geometric Semantic Operators (2019) (32)
- In Data We Trust: A Critical Analysis of Hate Speech Detection Datasets (2020) (32)
- Improving performance of classification on incomplete data using feature selection and clustering (2018) (32)
- A Dimension Reduction Approach to Classification Based on Particle Swarm Optimisation and Rough Set Theory (2012) (31)
- Investigation on particle swarm optimisation for feature selection on high-dimensional data: local search and selection bias (2016) (31)
- Particle Swarm optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks (2019) (31)
- An effective and efficient approach to classification with incomplete data (2018) (29)
- PSO and Statistical Clustering for Feature Selection: A New Representation (2014) (29)
- A Novel Binary Particle Swarm Optimization Algorithm and Its Applications on Knapsack and Feature Selection Problems (2017) (28)
- An archive based particle swarm optimisation for feature selection in classification (2014) (28)
- An Automatic Feature Extraction Approach to Image Classification Using Genetic Programming (2018) (28)
- Single Feature Ranking and Binary Particle Swarm Optimisation Based Feature Subset Ranking for Feature Selection (2012) (28)
- Genetic Programming With a New Representation to Automatically Learn Features and Evolve Ensembles for Image Classification (2020) (27)
- Gaussian Transformation Based Representation in Particle Swarm Optimisation for Feature Selection (2015) (27)
- What's inside the black-box?: a genetic programming method for interpreting complex machine learning models (2019) (26)
- Particle Swarm Optimization Based Two-Stage Feature Selection in Text Mining (2018) (26)
- Multiple feature construction in classification on high-dimensional data using GP (2016) (25)
- Evolutionary Deep Learning: A Genetic Programming Approach to Image Classification (2018) (25)
- Differential evolution (DE) for multi-objective feature selection in classification (2014) (25)
- Using Feature Clustering for GP-Based Feature Construction on High-Dimensional Data (2017) (24)
- Improving performance for classification with incomplete data using wrapper-based feature selection (2016) (24)
- Genetic Programming With Image-Related Operators and a Flexible Program Structure for Feature Learning in Image Classification (2020) (24)
- Automatically Evolving CNN Architectures Based on Blocks (2018) (24)
- Improving Generalisation of Genetic Programming for Symbolic Regression with Structural Risk Minimisation (2016) (24)
- A Particle Swarm Optimisation Based Multi-objective Filter Approach to Feature Selection for Classification (2012) (24)
- A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks (2019) (23)
- An Effective Feature Learning Approach Using Genetic Programming With Image Descriptors for Image Classification [Research Frontier] (2020) (23)
- A Duplication Analysis-Based Evolutionary Algorithm for Biobjective Feature Selection (2020) (23)
- Genetic Programming for Evolving a Front of Interpretable Models for Data Visualization (2020) (23)
- Particle Swarm Optimisation with genetic operators for feature selection (2017) (22)
- Further investigation on genetic programming with transfer learning for symbolic regression (2016) (22)
- Common subtrees in related problems: A novel transfer learning approach for genetic programming (2017) (22)
- Using Particle Swarm Optimisation and the Silhouette Metric to Estimate the Number of Clusters, Select Features, and Perform Clustering (2017) (22)
- Automatic Feature Extraction and Construction Using Genetic Programming for Rotating Machinery Fault Diagnosis (2020) (22)
- Novel chaotic grouping particle swarm optimization with a dynamic regrouping strategy for solving numerical optimization tasks (2020) (21)
- A Hybrid GP-KNN Imputation for Symbolic Regression with Missing Values (2018) (20)
- PSO with surrogate models for feature selection: static and dynamic clustering-based methods (2018) (20)
- Binary particle swarm optimisation and rough set theory for dimension reduction in classification (2013) (20)
- Evolutionary Multitasking for Feature Selection in High-Dimensional Classification via Particle Swarm Optimization (2021) (20)
- Genetic programming for skin cancer detection in dermoscopic images (2017) (19)
- Absumption to complement subsumption in learning classifier systems (2019) (19)
- Generating Knowledge-Guided Discriminative Features Using Genetic Programming for Melanoma Detection (2020) (19)
- Genetic Programming for Automatic Global and Local Feature Extraction to Image Classification (2018) (19)
- A particle swarm optimization based feature selection approach to transfer learning in classification (2018) (19)
- An Evolutionary Deep Learning Approach Using Genetic Programming with Convolution Operators for Image Classification (2019) (18)
- A Differential Evolution Approach to Feature Selection and Instance Selection (2016) (18)
- An automated ensemble learning framework using genetic programming for image classification (2019) (18)
- Mutual information for feature selection: estimation or counting? (2016) (18)
- PSO for feature construction and binary classification (2013) (18)
- Multi-objective genetic programming for feature learning in face recognition (2021) (18)
- Multiple Imputation and Ensemble Learning for Classification with Incomplete Data (2017) (17)
- Structural Risk Minimization-Driven Genetic Programming for Enhancing Generalization in Symbolic Regression (2019) (17)
- Genetic Programming with Embedded Feature Construction for High-Dimensional Symbolic Regression (2017) (17)
- Improving generalisation of genetic programming for high-dimensional symbolic regression with feature selection (2016) (16)
- Bare-Bone Particle Swarm Optimisation for Simultaneously Discretising and Selecting Features for High-Dimensional Classification (2016) (16)
- Particle swarm optimisation representations for simultaneous clustering and feature selection (2016) (15)
- Learning and Sharing: A Multitask Genetic Programming Approach to Image Feature Learning (2020) (14)
- A Graph-Based Encoding for Evolutionary Convolutional Neural Network Architecture Design (2019) (14)
- Reusing Extracted Knowledge in Genetic Programming to Solve Complex Texture Image Classification Problems (2016) (14)
- Surrogate-Assisted Particle Swarm Optimization for Evolving Variable-Length Transferable Blocks for Image Classification (2020) (14)
- A new imputation method based on genetic programming and weighted KNN for symbolic regression with incomplete data (2021) (14)
- Genetic Programming for Feature Selection and Feature Construction in Skin Cancer Image Classification (2018) (14)
- Multiple imputation and genetic programming for classification with incomplete data (2017) (14)
- Bagging and Feature Selection for Classification with Incomplete Data (2017) (13)
- A New Binary Particle Swarm Optimisation Algorithm for Feature Selection (2014) (13)
- Particle Swarm Optimisation for Feature Selection and Weighting in High-Dimensional Clustering (2018) (12)
- Adaptive multi-subswarm optimisation for feature selection on high-dimensional classification (2019) (12)
- Can Genetic Programming Do Manifold Learning Too? (2019) (11)
- A Particle Swarm Optimization-based Flexible Convolutional Auto-Encoder for Image Classification (2017) (11)
- Transductive Transfer Learning in Genetic Programming for Document Classification (2017) (11)
- Genetic programming based feature construction for classification with incomplete data (2017) (11)
- Genetic programming for high-dimensional imbalanced classification with a new fitness function and program reuse mechanism (2020) (11)
- Geometric Semantic Crossover with an Angle-Aware Mating Scheme in Genetic Programming for Symbolic Regression (2017) (11)
- Surrogate-Model Based Particle Swarm Optimisation with Local Search for Feature Selection in Classification (2017) (11)
- Particle Swarm Optimization for Evolving Deep Convolutional Neural Networks for Image Classification: Single- and Multi-Objective Approaches (2020) (11)
- Instance based Transfer Learning for Genetic Programming for Symbolic Regression (2019) (11)
- A genetic programming approach to feature construction for ensemble learning in skin cancer detection (2020) (10)
- Class Dependent Multiple Feature Construction Using Genetic Programming for High-Dimensional Data (2017) (10)
- Visualizations for rule-based machine learning (2021) (10)
- GPGC: genetic programming for automatic clustering using a flexible non-hyper-spherical graph-based approach (2017) (10)
- Feature selection based on PSO and decision-theoretic rough set model (2013) (10)
- Evolutionary feature manipulation in data mining/big data (2017) (10)
- Improving classification on images by extracting and transferring knowledge in genetic programming (2016) (10)
- Genetic Programming with Rademacher Complexity for Symbolic Regression (2019) (10)
- A Divide-and-Conquer Genetic Programming Algorithm With Ensembles for Image Classification (2021) (10)
- Genetic Programming for Evolving Similarity Functions for Clustering: Representations and Analysis (2019) (10)
- Mutual Information Estimation for Filter Based Feature Selection Using Particle Swarm Optimization (2016) (10)
- A Wrapper Feature Selection Approach to Classification with Missing Data (2016) (10)
- Correlation-Guided Updating Strategy for Feature Selection in Classification With Surrogate-Assisted Particle Swarm Optimization (2022) (10)
- New Fitness Functions in Genetic Programming for Classification with High-dimensional Unbalanced Data (2019) (9)
- Feature fusion and kernel selective in Inception-v4 network (2022) (9)
- A Multi-tree Genetic Programming Representation for Melanoma Detection Using Local and Global Features (2018) (9)
- Genetic Programming for Instance Transfer Learning in Symbolic Regression (2020) (9)
- Visualisation and Optimisation of Learning Classifier Systems for Multiple Domain Learning (2017) (9)
- A Multitree Genetic Programming Representation for Automatically Evolving Texture Image Descriptors (2017) (9)
- Rademacher Complexity for Enhancing the Generalization of Genetic Programming for Symbolic Regression (2020) (9)
- Dual-Tree Genetic Programming for Few-Shot Image Classification (2022) (9)
- A differential evolution based feature selection approach using an improved filter criterion (2017) (9)
- Evolutionary computation for feature manipulation: Key challenges and future directions (2016) (8)
- Code coverage optimisation in genetic algorithms and particle swarm optimisation for automatic software test data generation (2015) (8)
- Genetic programming for development of cost-sensitive classifiers for binary high-dimensional unbalanced classification (2020) (8)
- Fuzzy filter cost-sensitive feature selection with differential evolution (2022) (8)
- Genetic Programming for Multiple Feature Construction in Skin Cancer Image Classification (2019) (8)
- Multiple reference points MOEA/D for feature selection (2017) (8)
- A Comparison of Learning Classifier Systems’ Rule Compaction Algorithms for Knowledge Visualization (2021) (8)
- New Representations in PSO for Feature Construction in Classification (2014) (8)
- A Gaussian Filter-Based Feature Learning Approach Using Genetic Programming to Image Classification (2018) (8)
- Multi-objective genetic programming for manifold learning: balancing quality and dimensionality (2020) (8)
- An Adaptive and Near Parameter-free Evolutionary Computation Approach Towards True Automation in AutoML (2020) (8)
- A Hybrid Evolutionary Computation Approach to Inducing Transfer Classifiers for Domain Adaptation (2020) (8)
- Genetic programming for feature extraction and construction in image classification (2022) (8)
- A Decomposition based Multi-objective Evolutionary Algorithm with ReliefF based Local Search and Solution Repair Mechanism for Feature Selection (2020) (8)
- Multi-View Feature Construction Using Genetic Programming for Rolling Bearing Fault Diagnosis [Application Notes] (2021) (7)
- Genetic programming with transfer learning for texture image classification (2019) (7)
- Genetic Programming-Based Simultaneous Feature Selection and Imputation for Symbolic Regression with Incomplete Data (2019) (7)
- Generating Redundant Features with Unsupervised Multi-tree Genetic Programming (2020) (7)
- BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search (2021) (7)
- An Object-Based Genetic Programming Approach for Cropland Field Extraction (2022) (7)
- Adapting Bagging and Boosting to Learning Classifier Systems (2018) (7)
- A Hybrid GA-GP Method for Feature Reduction in Classification (2017) (7)
- Using a small number of training instances in genetic programming for face image classification (2022) (7)
- A supervised feature weighting method for salient object detection using particle swarm optimization (2017) (7)
- Developing Interval-Based Cost-Sensitive Classifiers by Genetic Programming for Binary High-Dimensional Unbalanced Classification [Research Frontier] (2021) (7)
- Featuring the Attributes in Supervised Machine Learning (2018) (7)
- Hessian Complexity Measure for Genetic Programming-Based Imputation Predictor Selection in Symbolic Regression with Incomplete Data (2020) (7)
- A GA-Based Approach to Fine-Tuning BERT for Hate Speech Detection (2020) (7)
- A HYBRID FILTER-WRAPPER FEATURE SELECTION APPROACH FOR AUTHORSHIP ATTRIBUTION (2019) (6)
- Genetic Programming for Imputation Predictor Selection and Ranking in Symbolic Regression with High-Dimensional Incomplete Data (2019) (6)
- A hybrid Genetic Programming approach to feature detection and image classification (2015) (6)
- Directly Constructing Multiple Features for Classification with Missing Data using Genetic Programming with Interval Functions (2016) (6)
- Instance Selection-Based Surrogate-Assisted Genetic Programming for Feature Learning in Image Classification (2021) (6)
- Genetic programming for automatic skin cancer image classification (2022) (6)
- Particle Swarm Optimisation for Feature Selection: A Size-Controlled Approach (2015) (6)
- New Representations in Genetic Programming for Feature Construction in k-Means Clustering (2017) (6)
- A Genetic Programming-based Wrapper Imputation Method for Symbolic Regression with Incomplete Data (2019) (6)
- Automatically evolving difficult benchmark feature selection datasets with genetic programming (2018) (6)
- Differential evolution for instance based transfer learning in genetic programming for symbolic regression (2019) (6)
- Multi-tree genetic programming for feature construction-based domain adaptation in symbolic regression with incomplete data (2020) (6)
- PSO-based parameters selection for the bilateral filter in image denoising (2017) (6)
- Genetic Programming with Noise Sensitivity for Imputation Predictor Selection in Symbolic Regression with Incomplete Data (2020) (5)
- Evolving Deep Forest with Automatic Feature Extraction for Image Classification Using Genetic Programming (2020) (5)
- Investigating the Correlation Amongst the Objective and Constraints in Gaussian Process-Assisted Highly Constrained Expensive Optimization (2021) (5)
- Transfer learning: a building block selection mechanism in genetic programming for symbolic regression (2019) (5)
- Genetic Programming with Interval Functions and Ensemble Learning for Classification with Incomplete Data (2018) (5)
- Multi-Round Random Subspace Feature Selection for Incomplete Gene Expression Data (2019) (5)
- Genetic Programming-Based Discriminative Feature Learning for Low-Quality Image Classification (2021) (5)
- A Cost-sensitive Genetic Programming Approach for High-dimensional Unbalanced Classification (2019) (5)
- Multitree Genetic Programming With New Operators for Transfer Learning in Symbolic Regression With Incomplete Data (2021) (5)
- Foreground and Background Feature Fusion Using a Convex Hull Based Center Prior for Salient Object Detection (2018) (5)
- Evolutionary Design of Recurrent Neural Network Architecture for Human Activity Recognition (2019) (5)
- Improving k-means clustering with genetic programming for feature construction (2017) (4)
- A Subset Similarity Guided Method for Multi-objective Feature Selection (2016) (4)
- A Survey on Fault Diagnosis of Rolling Bearings (2022) (4)
- Geometric Semantic Genetic Programming with Perpendicular Crossover and Random Segment Mutation for Symbolic Regression (2017) (4)
- Contrastive Learning Assisted-Alignment for Partial Domain Adaptation. (2022) (4)
- Genetic programming for solving common and domain-independent generic recursive problems (2017) (4)
- New geometric semantic operators in genetic programming: perpendicular crossover and random segment mutation (2017) (4)
- Deep Convolutional Neural Networks for Detecting Dolphin Echolocation Clicks (2021) (4)
- Automatically extracting features for face classification using multi-objective genetic programming (2020) (4)
- Genetic Programming for Measuring Peptide Detectability (2014) (4)
- Genetic Programming for Preprocessing Tandem Mass Spectra to Improve the Reliability of Peptide Identification (2018) (4)
- Segmented initialization and offspring modification in evolutionary algorithms for bi-objective feature selection (2020) (4)
- Hybridising Particle Swarm optimisation with Differential Evolution for Feature Selection in Classification (2020) (4)
- Reuse of program trees in genetic programming with a new fitness function in high-dimensional unbalanced classification (2019) (4)
- An ensemble of rule-based classifiers for incomplete data (2017) (4)
- Genetic Programming for Multi-objective Test Data Generation in Search Based Software Testing (2017) (4)
- An automatic region detection and processing approach in genetic programming for binary image classification (2017) (4)
- GA-Novo: De Novo Peptide Sequencing via Tandem Mass Spectrometry using Genetic Algorithm (2019) (4)
- Genetic Programming for Image Classification (2021) (4)
- Automatic Feature Construction for Network Intrusion Detection (2017) (3)
- Output-based transfer learning in genetic programming for document classification (2020) (3)
- Fast Bi-Objective Feature Selection Using Entropy Measures and Bayesian Inference (2016) (3)
- Deep Convolutional Neural Networks with Transfer Learning for Waterline Detection in Mussel Farms (2021) (3)
- Differential Evolution-Based Feature Selection: A Niching-Based Multiobjective Approach (2023) (3)
- Particle Swarm Optimization for Compact Neural Architecture Search for Image Classification (2022) (3)
- Evolving Deep Recurrent Neural Networks Using A New Variable-Length Genetic Algorithm (2020) (3)
- A Constrained Competitive Swarm Optimiser with an SVM-based Surrogate Model for Feature Selection (2022) (3)
- Adaptive weighted splines: a new representation to genetic programming for symbolic regression (2020) (3)
- A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends (2022) (3)
- Automatically Extracting Features Using Genetic Programming for Low-Quality Fish Image Classification (2021) (3)
- Blocky Net: A New NeuroEvolution Method (2019) (3)
- Computer Vision and Machine Learning (2021) (3)
- Fast Unsupervised Edge Detection Using Genetic Programming [Application Notes] (2018) (3)
- Genetic Programming for Manifold Learning: Preserving Local Topology (2021) (3)
- A Profile-Based Authorship Attribution Approach to Forensic Identification in Chinese Online Messages (2016) (3)
- An automatic feature construction method for salient object detection: A genetic programming approach (2021) (3)
- Dimension reduction in classification using particle swarm optimisation and statistical variable grouping information (2016) (3)
- A Threshold-free Classification Mechanism in Genetic Programming for High-dimensional Unbalanced Classification (2020) (3)
- Absumption and subsumption based learning classifier systems (2020) (3)
- Transductive transfer learning based Genetic Programming for balanced and unbalanced document classification using different types of features (2021) (3)
- A Multi-objective Genetic Programming Biomarker Detection Approach in Mass Spectrometry Data (2016) (3)
- Genetic Programming (2018) (3)
- Preserving Population Diversity Based on Transformed Semantics in Genetic Programming for Symbolic Regression (2020) (3)
- Improving symbolic regression based on correlation between residuals and variables (2020) (3)
- Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification (2022) (2)
- Special Issue on Evolutionary Computer Vision, Image Processing and Pattern Recognition (2020) (2)
- Genetic programming for borderline instance detection in high-dimensional unbalanced classification (2021) (2)
- A Region Adaptive Image Classification Approach Using Genetic Programming (2020) (2)
- ArcText: A Unified Text Approach to Describing Convolutional Neural Network Architectures (2020) (2)
- A Survey on Swarm Intelligence Approaches for Feature Selection (2019) (2)
- Genetic Programming Based on Granular Computing for Classification with High-Dimensional Data (2018) (2)
- Explainable Artificial Intelligence by Genetic Programming: A Survey (2022) (2)
- Genetic Programming for High-Level Feature Learning in Crop Classification (2022) (2)
- Evolving Character-level Convolutional Neural Networks for Text Classification (2020) (2)
- Multitask Feature Learning as Multiobjective Optimization: A New Genetic Programming Approach to Image Classification (2022) (2)
- Multi-Tree Genetic Programming-based Transformation for Transfer Learning in Symbolic Regression with Highly Incomplete Data (2020) (2)
- A Grid-dominance based Multi-objective Algorithm for Feature Selection in Classification (2021) (2)
- A Flexible Variable-length Particle Swarm Optimization Approach to Convolutional Neural Network Architecture Design (2021) (2)
- High-Dimensional Unbalanced Binary Classification by Genetic Programming with Multi-Criterion Fitness Evaluation and Selection (2021) (2)
- Proceedings in Adaptation, Learning and Optimization (2016) (2)
- Genetic Programming and Gradient Descent: A Memetic Approach to Binary Image Classification (2019) (2)
- Feature Selection Using Diversity-Based Multi-objective Binary Differential Evolution (2023) (2)
- Evolving local interpretable model-agnostic explanations for deep neural networks in image classification (2021) (2)
- Evolutionary computation for feature selection and feature construction (2020) (2)
- A Novel Genetic Algorithm Approach to Simultaneous Feature Selection and Instance Selection (2020) (2)
- A Hybrid DE Approach to Designing CNN for Image Classification (2018) (2)
- Genetic programming for evolving programs with recursive structures (2016) (2)
- Feature Selection and Interpretable Feature Transformation: A Preliminary Study on Feature Engineering for Classification Algorithms (2018) (2)
- Evolving Neural Networks for Text Classification using Genetic Algorithm-based Approaches (2021) (2)
- Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications and Open Issues (2022) (2)
- Token replacement-based data augmentation methods for hate speech detection (2022) (2)
- Improved Crowding Distance in Multi-objective Optimization for Feature Selection in Classification (2021) (2)
- Genetic Programming-Based Feature Learning for Facial Expression Classification (2020) (1)
- Two-Stage Genetic Algorithm for Designing Long Short Term Memory (LSTM) Ensembles (2021) (1)
- Genetic Programming for Feature Selection and Feature Combination in Salient Object Detection (2019) (1)
- Automatically Diagnosing Skin Cancers From Multimodality Images Using Two-Stage Genetic Programming (2022) (1)
- A classification method based on self-adaptive artificial bee colony (2017) (1)
- The Relative Power of Structural Genomic Variation versus SNPs in Explaining the Quantitative Trait Growth in the Marine Teleost Chrysophrys auratus (2022) (1)
- A new artificial intelligent approach to buoy detection for mussel farming (2022) (1)
- A Two-Stage Differential Evolutionary Algorithm for Deep Ensemble Model Generation (2022) (1)
- Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning (2022) (1)
- Solving Multi-objective Feature Selection Problems in Classification via Problem Reformulation and Duplication Handling (2022) (1)
- GPCNN: Evolving Convolutional Neural Networks using Genetic Programming (2020) (1)
- Multi-objective genetic programming for symbolic regression with the adaptive weighted splines representation (2021) (1)
- Evolving texture image descriptors using a multitree genetic programming representation (2017) (1)
- Automatically Evolving Texture Image Descriptors Using the Multitree Representation in Genetic Programming Using Few Instances (2020) (1)
- Co-evolution of Novel Tree-Like ANNs and Activation Functions: An Observational Study (2018) (1)
- Dependency-Based Embedding for Distinguishing Between Hate Speech and Offensive Language (2020) (1)
- GP with Image-Related Operators for Feature Learning (2021) (1)
- Hierarchical Learning Classifier Systems for Polymorphism in Heterogeneous Niches (2018) (1)
- Multi-tree Genetic Programming with A New Fitness Function for Melanoma Detection (2019) (1)
- Particle Swarm Optimisation for Analysing Time-Dependent Photoluminescence Data (2021) (1)
- Sebastian Ventura and Jose Maria Luna: Pattern mining with evolutionary algorithms (2017) (1)
- Improved Binary Particle Swarm optimization with Evolutionary Population Dynamic for Key Oncogene Selection (2020) (1)
- Multi-Dimensional Optical Flow Embedded Genetic Programming for Anomaly Detection in Crowded Scenes (2018) (1)
- Learning to Share: A Multitasking Genetic Programming Approach to Image Feature Learning (2020) (1)
- New mechanism for archive maintenance in PSO-based multi-objective feature selection (2016) (1)
- Deep Convolutional Neural Networks for Fish Weight Prediction from Images (2021) (1)
- PSO with surrogate models for feature selection: static and dynamic clustering-based methods (2018) (1)
- A Co-Training Framework for Heterogeneous Heuristic Domain Adaptation. (2022) (1)
- A Multiform Optimization Framework for Constrained Multiobjective Optimization. (2022) (1)
- Preprocessing Tandem Mass Spectra Using Genetic Programming for Peptide Identification (2019) (1)
- The Evolution of Adjacency Matrices for Sparsity of Connection in DenseNets (2019) (1)
- Neural architecture search for sparse DenseNets with dynamic compression (2020) (1)
- A Genetic Programming Approach for Constructing Foreground and Background Saliency Features for Salient Object Detection (2018) (1)
- Genetic Programming based Transfer Learning for Document Classification with Self-taught and Ensemble Learning (2019) (1)
- Multi-label Feature Selection Using Particle Swarm Optimization: Novel Initialization Mechanisms (2019) (1)
- GP with a Hybrid Tree-vector Representation for Instance Selection and Symbolic Regression on Incomplete Data (2021) (1)
- A Forward Search Inspired Particle Swarm Optimization Algorithm for Feature Selection in Classification (2021) (1)
- Online Loss Function Learning (2023) (1)
- Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising (2020) (1)
- Evolving Effective Ensembles for Image Classification Using Multi-objective Multi-tree Genetic Programming (2022) (1)
- Evolutionary Computation for Feature Selection and Feature Construction (2016) (1)
- A Multi-objective Genetic Algorithm to Evolving Local Interpretable Model-agnostic Explanations for Deep Neural Networks in Image Classification (2022) (0)
- Evolutionary computation for feature selection and feature construction (2021) (0)
- A Two-Stage Efficient Evolutionary Neural Architecture Search Method for Image Classification (2021) (0)
- Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations (2022) (0)
- Visualizations for rule-based machine learning (2021) (0)
- Binary Differential Evolution based Feature Selection Method with Mutual Information for Imbalanced Classification Problems (2021) (0)
- Evolutionary Design of Long Short Term Memory (LSTM) Ensemble (2020) (0)
- Differential Evolution With Duplication Analysis for Feature Selection in Classification. (2022) (0)
- Handling Different Preferences Between Objectives for Multi-objective Feature Selection in Classification (2022) (0)
- Learning CNN architecture for multi-view text classification using genetic algorithms (2022) (0)
- A genetic programming method for classifier construction and cost learning in high-dimensional unbalanced classification (2020) (0)
- Detecting Overlapping Areas in Unbalanced High-dimensional Data Using Neighborhood Rough Set and Genetic Programming (2022) (0)
- Automated and Efficient Sparsity-based Feature Selection via a Dual-component Vector (2021) (0)
- Genetic Programming for Evolving Similarity Functions Tailored to Clustering Algorithms (2021) (0)
- GP with Image Descriptors for Learning Global and Local Features (2021) (0)
- Evolutionary computation for feature selection and feature construction (2018) (0)
- Genetic Programming for Symbolic Regression: A Study on Fish Weight Prediction (2021) (0)
- Benefiting From Single-Objective Feature Selection to Multiobjective Feature Selection: A Multiform Approach. (2022) (0)
- Genetic Programming-Based Selection of Imputation Methods in Symbolic Regression with Missing Values (2020) (0)
- Learning to Rank Peptide-Spectrum Matches Using Genetic Programming (2019) (0)
- Multi-layer Representation for Binary Image Classification (2021) (0)
- Evolutionary Computation and Genetic Programming (2021) (0)
- Feature Clustering-Assisted Feature Selection with Differential Evolution (2023) (0)
- Genetic programming for feature construction and selection in classification on high-dimensional data (2015) (0)
- Guest editorial: special issue on evolutionary optimization, feature reduction and learning (2016) (0)
- Improving the Results of De novo Peptide Identification via Tandem Mass Spectrometry Using a Genetic Programming-based Scoring Function for Re-ranking Peptide-Spectrum Matches (2019) (0)
- Artificial Intelligence in New Zealand: applications and innovation (2023) (0)
- Genetic programming with a new representation and a new mutation operator for image classification (2021) (0)
- A New Genetic Algorithm for Automated Spectral Pre-processing in Nutrient Assessment (2022) (0)
- A survey on feature selection approaches for clustering (2020) (0)
- Sparsity-based evolutionary multi-objective feature selection for multi-label classification (2021) (0)
- Conclusions and Future Directions (2021) (0)
- Multi-objective genetic programming for manifold learning: balancing quality and dimensionality (2020) (0)
- What Emotion Is Hate? Incorporating Emotion Information into the Hate Speech Detection Task (2021) (0)
- Label Clustering for Particle Swarm Optimisation based Multi-Label Feature Selection (2022) (0)
- Multi-task optimisation for multi-objective feature selection in classification (2022) (0)
- Evolutionary Deep Learning Using GP with Convolution Operators (2021) (0)
- Evolving network structures for text classification using genetic algorithms (2020) (0)
- Mutual information for feature selection: estimation or counting? (2016) (0)
- Multi-Label Feature Selection Using Particle Swarm Optimization: Novel Local Search Mechanisms (2019) (0)
- SR-Forest: A Genetic Programming based Heterogeneous Ensemble Learning Method (2023) (0)
- Particle Swarm Optimization for Efficiently Evolving Deep Convolutional Neural Networks Using an Autoencoder-based Encoding Strategy (2023) (0)
- GP for Simultaneous Feature Learning and Ensemble Learning (2021) (0)
- Genetic Programming for Image Classification: A New Program Representation with Flexible Feature Reuse (2022) (0)
- Evolving U-Nets Using Genetic Programming for Tree Crown Segmentation (2022) (0)
- A Graph-Based Approach to Automatic Convolutional Neural Network Construction for Image Classification (2020) (0)
- Improving performance for classification with incomplete data using wrapper-based feature selection (2016) (0)
- Random Forest-Assisted GP for Feature Learning (2021) (0)
- A Global and Local Surrogate-Assisted Genetic Programming Approach to Image Classification (2022) (0)
- Multi-objective Genetic Programming with the Adaptive Weighted Splines Representation for Symbolic Regression (2022) (0)
- A Survey on Unbalanced Classification: How Can Evolutionary Computation Help? (2023) (0)
- Data Imputation for Symbolic Regression with Missing Values: A Comparative Study (2020) (0)
- Ph . D . Proposal : Particle Swarm Optimisation for Feature Selection (2011) (0)
- Genetic Algorithm for Feature and Latent Variable Selection for Nutrient Assessment in Horticultural Products (2021) (0)
- Automated Fish Classification Using Unprocessed Fatty Acid Chromatographic Data: A Machine Learning Approach (2022) (0)
- N E ] 1 0 M ar 2 01 9 Automatically Evolving CNN Architectures Based on Blocks Yanan Sun and (2019) (0)
- Population-based ensemble classifier induction for domain adaptation (2019) (0)
- Genetic programming for high-dimensional imbalanced classification with a new fitness function and program reuse mechanism (2020) (0)
- Improving generalisation of AutoML systems with dynamic fitness evaluations (2020) (0)
- Particle swarm optimisation for sparsity-based feature selection in multi-label classification (2022) (0)
- A Genetic Programming Approach to Automatically Construct Informative Attributes for Mammographic Density Classification (2022) (0)
- GP-based Feature Selection and Weighted KNN-based Instance Selection for Symbolic Regression with Incomplete Data (2020) (0)
- Automatically Diagnosing Suspicious Regions in Skin Images Using Two-Stage Genetic Programming (2021) (0)
- Genetic programming with transfer learning for texture image classification (2019) (0)
- EDE-NAS: An Eclectic Differential Evolution Approach to Single-Path Neural Architecture Search (2022) (0)
- Automatically Designing U-Nets Using A Genetic Algorithm for Tree Image Segmentation (2022) (0)
- A Decomposition Based Multi-objective Genetic Programming Algorithm for Classification of Highly Imbalanced Tandem Mass Spectrometry (2019) (0)
- A comparison of rule compaction algorithms for michigan style learning classifier systems (2022) (0)
- MAP-Elites with Cosine-Similarity for Evolutionary Ensemble Learning (2023) (0)
- An Efficient Evolutionary Deep Learning Framework Based on Multi-source Transfer Learning to Evolve Deep Convolutional Neural Networks (2022) (0)
- Niching-Assisted Genetic Programming for Finding Multiple High-Quality Classifiers (2022) (0)
- A transfer learning based evolutionary deep learning framework to evolve convolutional neural networks (2021) (0)
- Introduction (2021) (0)
- Evolutionary computation for feature selection and feature construction (2022) (0)
- Multi-objective Multi-label Feature Selection with an Aggregated Performance Metric and Dominance-based Initialisation (2021) (0)
- Guest Editorial Evolutionary Computation Meets Deep Learning (2021) (0)
- Multi-objective Feature Selection with a Sparsity-based Objective Function and Gradient Local Search for Multi-label Classification (2021) (0)
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