Article
Computer Science, Artificial Intelligence
Qurrat Ul Ain, Harith Al-Sahaf, Bing Xue, Mengjie Zhang
Summary: This study analyzes GP-based approaches to skin image classification, which improve the performance of machine learning classification algorithms by constructing features, thereby enhancing diagnostic efficiency and assisting dermatologists in diagnosis.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Mariana Daniel, Rui Guerra, Antonio Brazio, Daniela Rodrigues, Ana Margarida Cavaco, Maria Dulce Antunes, Jose Valente de Oliveira
Summary: This study explores the use of feature engineering for preprocessing in fruit classification, as well as the division and selection of wavelength domain spectra. These methods can improve classification accuracy and reduce over-training. Experimental results show that the proposed method outperforms traditional approaches in accuracy and can identify features with physical chemistry significance.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Computer Science, Interdisciplinary Applications
Aizatul Shafiqah Mohd Faizal, Wei Yin Hon, T. Malathi Thevarajah, Sook Mei Khor, Siow-Wee Chang
Summary: A machine learning approach was used to identify potential biomarkers for early detection and treatment of acute myocardial infarction (AMI). It was found that using fewer features generally performed better than using all features, and a five-feature model including cardiac troponin I, HDL cholesterol, HbA1c, anion gap, and albumin was identified as potential biomarkers to predict the prognosis of AMI patients.
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
(2023)
Article
Computer Science, Artificial Intelligence
Qinglan Fan, Ying Bi, Bing Xue, Mengjie Zhang
Summary: This paper proposes a new genetic programming approach that combines feature extraction, feature construction, and classification, achieving high accuracy in both binary and multi-class image classification tasks. The approach outperforms benchmark methods on multiple datasets, and the evolved GP programs show appropriate tree sizes and interpretability.
APPLIED SOFT COMPUTING
(2022)
Article
Biochemical Research Methods
Kun Yu, Weidong Xie, Linjie Wang, Wei Li
Summary: The proposed feature selection algorithm in the study outperformed other methods in microarray data analysis, showing higher stability and classification accuracy. The selected biomarkers also matched the clinical data provided by the cooperative hospital.
BMC BIOINFORMATICS
(2021)
Article
Computer Science, Artificial Intelligence
Guopeng Liu, Jianbin Ma, Tongle Hu, Xiaoying Gao
Summary: This paper proposes a feature selection method using genetic programming and feature ranking, which can achieve better classification performance by further reducing the number of selected features using a multi-criteria fitness function.
CONNECTION SCIENCE
(2022)
Article
Computer Science, Artificial Intelligence
Haythem Ghazouani
Summary: Emotion recognition is a challenging problem in pattern recognition field, as it relies on the quality of face representation and lacks universal features to accurately capture all emotions. Combining multiple features to enhance recognition rate faces issues such as information redundancy and high dimensionality. A genetic programming framework called GP-FER is proposed in this work to address these challenges and has demonstrated superior performance on various facial expression datasets.
APPLIED SOFT COMPUTING
(2021)
Article
Biochemical Research Methods
Fengcheng Li, Jiayi Yin, Mingkun Lu, Qingxia Yang, Zhenyu Zeng, Bing Zhang, Zhaorong Li, Yunqing Qiu, Haibin Dai, Yuzong Chen, Feng Zhu
Summary: The discovery of proper molecular signature from OMIC data is crucial for determining biological state, physiological condition, disease etiology, and therapeutic response. However, the identified signature is highly inconsistent and shows little overlap among different biological datasets, hindering its reliability and applications. To address this issue, researchers developed an online tool called ConSIG that utilizes a novel strategy to enhance consistency, determines the optimal signature through collective assessment, and confirms biological relevance through disease/gene ontology enrichment.
BRIEFINGS IN BIOINFORMATICS
(2022)
Article
Biochemical Research Methods
Jing Tang, Minjie Mou, Yunxia Wang, Yongchao Luo, Feng Zhu
Summary: Metaproteomics faces challenges of dimensionality and sparsity, and data reduction methods are crucial for identifying significant features and reducing redundancy. The performance of feature selection methods depends on data characteristics, and the online tool MetaFS offers a variety of FS methods for evaluating potential biomarkers in microbiome studies through comprehensive criteria.
BRIEFINGS IN BIOINFORMATICS
(2021)
Article
Computer Science, Artificial Intelligence
Wenlong Fu, Bing Xue, Xiaoying Gao, Mengjie Zhang
Summary: Transfer learning using Genetic Programming (GP) in document classification tasks successfully applies GP programs evolved from the source domain (SD) directly to classify documents in the target domain (TD), showing improved accuracy and performance.
KNOWLEDGE-BASED SYSTEMS
(2021)
Article
Environmental Sciences
Miao Lu, Ying Bi, Bing Xue, Qiong Hu, Mengjie Zhang, Yanbing Wei, Peng Yang, Wenbin Wu
Summary: Information on crop spatial distribution is crucial for agricultural monitoring and food security. This study proposes a novel Genetic Programming (GP) approach to learn high-level features from time series images for crop classification. Experimental results demonstrate that the GP features can improve classification accuracy and are more robust and stable compared to traditional features and deep learning methods.
Article
Biochemistry & Molecular Biology
Jiaqi Liang, Chaoye Wang, Di Zhang, Yubin Xie, Yanru Zeng, Tianqin Li, Zhixiang Zuo, Jian Ren, Qi Zhao
Summary: This article introduces a method called VSOLassoBag, which integrates an ensemble learning strategy to select efficient and stable variables from high-dimensional biological data for biomarker determination. The application of VSOLassoBag on simulation and real-world datasets shows its effectiveness in identifying markers for binary classification and prognosis prediction, with comparable performance and fewer features compared to other algorithms.
JOURNAL OF GENETICS AND GENOMICS
(2023)
Article
Biochemical Research Methods
Xudong Zhao, Tong Liu, Guohua Wang
Summary: Molecular signatures play a crucial role in cancer diagnosis, but currently there are issues with identifying false positive signatures. Researchers proposed a new feature selection framework and a data transformation process to address these problems, and experimental results demonstrated the effectiveness of their method.
BRIEFINGS IN BIOINFORMATICS
(2022)
Article
Mathematics, Interdisciplinary Applications
Dong Yang, Peijian Wu
Summary: This paper explores the optimization of e-commerce logistics and distribution networks, proposing solutions that take into account city traffic conditions and establishing an optimization model through various methods. The study focuses on vehicle path problems, multidimensional impact maximization problems, and proposes solutions for emergency material delivery path planning.
Article
Computer Science, Information Systems
Yu Zhou, Wenjun Zha, Junhao Kang, Xiao Zhang, Xu Wang
Summary: This paper proposes a problem-specific non-dominated sorting genetic algorithm (PS-NSGA) that can minimize three objectives of feature selection. By applying an accuracy-preferred domination operator and a quick bit mutation, the algorithm converges faster and better, achieving competitive classification accuracy in experiments.
INFORMATION SCIENCES
(2021)
Article
Cell Biology
Clinton A. Oakley, Michael F. Ameismeier, Lifeng Peng, Virginia M. Weis, Arthur R. Grossman, Simon K. Davy
CELLULAR MICROBIOLOGY
(2016)
Article
Biochemical Research Methods
Clinton A. Oakley, Elysanne Durand, Shaun P. Wilkinson, Lifeng Peng, Virginia M. Weis, Arthur R. Grossman, Simon K. Davy
JOURNAL OF PROTEOME RESEARCH
(2017)
Article
Biotechnology & Applied Microbiology
Anne-Marie Smit, Timothy J. Strabala, Lifeng Peng, Pisana Rawson, Gareth Lloyd-Jones, T. William Jordan
APPLIED AND ENVIRONMENTAL MICROBIOLOGY
(2012)
Article
Biotechnology & Applied Microbiology
Lian He, Yi Xiao, Nikodimos Gebreselassie, Fuzhong Zhang, Maciek R. Antoniewicz, Yinjie J. Tang, Lifeng Peng
BIOTECHNOLOGY AND BIOENGINEERING
(2014)
Article
Oncology
Anja Wilmes, Pisana Rawson, Lifeng Peng, Danyl McLauchlan, Peter T. Northcote, T. William Jordan, John H. Miller
INVESTIGATIONAL NEW DRUGS
(2011)
Article
Biochemical Research Methods
Pisana Rawson, Christine Stockum, Lifeng Peng, Bhagyashree Manivannan, Klaus Lehnert, Hamish E. Ward, Sarah D. Berry, Stephen R. Davis, Russell G. Snell, Danyl McLauchlan, T. William Jordan
JOURNAL OF PROTEOMICS
(2012)
Article
Multidisciplinary Sciences
Philip J. Lester, Peter J. Bosch, Monica A. M. Gruber, Eugene A. Kapp, Lifeng Peng, Evan C. Brenton-Rule, Joe Buchanan, Wlodek L. Stanislawek, Michael Archer, Juan C. Corley, Maite Masciocchi, Annette Van Oystaeyen, Tom Wenseleers
Article
Multidisciplinary Sciences
Peter J. Bosch, Lifeng Peng, Bronwyn M. Kivell
Article
Biochemical Research Methods
Lifeng Peng, Eugene A. Kapp, Danyl McLauchlan, T. William Jordan
Proceedings Paper
Computer Science, Artificial Intelligence
Soha Ahmed, Mengjie Zhang, Lifeng Peng, Bing Xue
GECCO'14: PROCEEDINGS OF THE 2014 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE
(2014)
Proceedings Paper
Computer Science, Artificial Intelligence
Soha Ahmed, Mengjie Zhang, Lifeng Peng
2014 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC)
(2014)
Proceedings Paper
Computer Science, Artificial Intelligence
Soha Ahmed, Mengjie Zhang, Lifeng Peng
APPLICATIONS OF EVOLUTIONARY COMPUTATION
(2014)
Proceedings Paper
Computer Science, Artificial Intelligence
Soha Ahmed, Mengjie Zhang, Lifeng Peng, Bing Xue
SIMULATED EVOLUTION AND LEARNING (SEAL 2014)
(2014)
Proceedings Paper
Computer Science, Theory & Methods
Soha Ahmed, Mengjie Zhang, Lifeng Peng
2013 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC)
(2013)