BiCSA-PUL: binary crow search algorithm for enhancing positive and unlabeled learning
This paper presents a novel metaheuristic binary crow search algorithm (CSA) designed for positive-unlabeled (PU) learning, a paradigm where only positive and unlabeled data are available, with applications in many diversified fields, such as medical diagnosis and fraud detection. The algorithm repr...
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| Published in: | International journal of information technology (Singapore. Online) Vol. 17; no. 3; pp. 1729 - 1743 |
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| Language: | English |
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01.04.2025
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| ISSN: | 2511-2104, 2511-2112 |
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| Abstract | This paper presents a novel metaheuristic binary crow search algorithm (CSA) designed for positive-unlabeled (PU) learning, a paradigm where only positive and unlabeled data are available, with applications in many diversified fields, such as medical diagnosis and fraud detection. The algorithm represent a useful adaptation of CSA, itself inspired by the food-hiding behavior of crows. The proposed BiCSA-PUL (binary crow search algorithm for positive-unlabeled learning) selects reliable negative samples from unlabeled data using binary vectors, and updates positions employing Hamming distance, guided by a modified F1-score, as fitness function. The algorithm was tested on 30 samples from 10 diverse datasets, outperforming seven state-of-the-art PU learning methods. The results reveal that BiCSA-PUL provides a robust and efficient approach for PU learning, significantly improving fitness and reliability. This work opens new avenues for applying metaheuristic optimization methods to challenging classification problems with limited labeled data. The main limitations are the potentially time-intensive process of parameters tuning and reliance on initial sampling. |
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| AbstractList | This paper presents a novel metaheuristic binary crow search algorithm (CSA) designed for positive-unlabeled (PU) learning, a paradigm where only positive and unlabeled data are available, with applications in many diversified fields, such as medical diagnosis and fraud detection. The algorithm represent a useful adaptation of CSA, itself inspired by the food-hiding behavior of crows. The proposed BiCSA-PUL (binary crow search algorithm for positive-unlabeled learning) selects reliable negative samples from unlabeled data using binary vectors, and updates positions employing Hamming distance, guided by a modified F1-score, as fitness function. The algorithm was tested on 30 samples from 10 diverse datasets, outperforming seven state-of-the-art PU learning methods. The results reveal that BiCSA-PUL provides a robust and efficient approach for PU learning, significantly improving fitness and reliability. This work opens new avenues for applying metaheuristic optimization methods to challenging classification problems with limited labeled data. The main limitations are the potentially time-intensive process of parameters tuning and reliance on initial sampling. |
| Author | Ben Othmane, Mohamed Hamdi-Cherif, Aboubekeur Haouassi, Hichem Siam, Abderrahim Azizi, Nabil Ledmi, Makhlouf Hamouma, Moumen |
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| Cites_doi | 10.1609/aaai.v37i6.25889 10.1007/978-981-15-8045-1_2 10.1016/j.ins.2020.03.021 10.1186/s42400-022-00124-x 10.1016/j.engappai.2020.104006 10.3390/math12101454 10.1016/j.ipm.2023.103381 10.1016/j.ins.2022.04.015 10.1109/TIM.2024.3372221 10.1007/s10994-020-05877-5 10.1109/ICPECTS56089.2022.10047014 10.1109/ICDM.2003.1250918 10.1016/j.isatra.2019.09.004 10.1109/TPAMI.2023.3319431 10.1016/j.compstruc.2016.03.001 10.1016/j.isci.2024.109086 10.48550/arXiv.2205.09485 10.1007/s41870-024-02120-5 10.1109/IISA.2019.8900698 10.1007/s41870-020-00550-5 10.1609/aaai.v38i8.28665 10.1007/s10489-023-04732-z 10.1007/s10489-017-1076-z 10.1016/j.physa.2018.05.128 10.1007/s10618-023-00925-9 10.48550/arXiv.2105.02250 10.1186/s40537-020-00305-w 10.1109/TCSVT.2019.2903563 10.24963/ijcai.2017/444 10.1016/j.neucom.2016.01.089 10.1007/s10994-016-5604-6 10.1145/3503161.3548045 10.1109/TPAMI.2018.2860995 10.1007/s41870-018-0251-8 10.1016/j.eswa.2020.113572 10.1145/775047.775083 10.48550/arXiv.2201.13192 10.1109/ICIP46576.2022.9897738 10.1007/s41870-024-01740-1 10.1016/j.fmre.2022.09.019 10.1007/s41870-023-01288-6 10.48550/arXiv.2404.00145 10.1109/ACCESS.2021.3054799 10.1016/j.knosys.2023.110819 10.1007/s10462-020-09911-9 10.1007/s41870-021-00676-0 10.1007/978-3-642-31362-2_21 10.1093/bib/bbab461 10.1109/ACCESS.2020.3024108 10.1109/ACCESS.2019.2911629 10.1016/j.patrec.2013.06.010 10.48550/arXiv.2201.06277 10.1007/s10844-019-00549-w |
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| References_xml | – ident: 2367_CR36 doi: 10.1609/aaai.v37i6.25889 – ident: 2367_CR52 doi: 10.1007/978-981-15-8045-1_2 – volume: 523 start-page: 167 year: 2020 ident: 2367_CR5 publication-title: Inf Sci doi: 10.1016/j.ins.2020.03.021 – volume: 5 start-page: 19 issue: 1 year: 2022 ident: 2367_CR28 publication-title: Cybersecurity doi: 10.1186/s42400-022-00124-x – volume: 97 year: 2021 ident: 2367_CR53 publication-title: Eng Appl Artif Intell doi: 10.1016/j.engappai.2020.104006 – volume: 12 start-page: 1454 issue: 10 year: 2024 ident: 2367_CR16 publication-title: Mathematics doi: 10.3390/math12101454 – volume: 60 issue: 4 year: 2023 ident: 2367_CR30 publication-title: Inform Process Manag doi: 10.1016/j.ipm.2023.103381 – volume: 601 start-page: 71 year: 2022 ident: 2367_CR49 publication-title: Inf Sci doi: 10.1016/j.ins.2022.04.015 – volume: 73 start-page: 1 year: 2024 ident: 2367_CR25 publication-title: IEEE Trans Instrum Meas doi: 10.1109/TIM.2024.3372221 – volume: 109 start-page: 719 issue: 4 year: 2020 ident: 2367_CR1 publication-title: Mach Learn doi: 10.1007/s10994-020-05877-5 – ident: 2367_CR2 doi: 10.1109/ICPECTS56089.2022.10047014 – ident: 2367_CR33 doi: 10.1109/ICDM.2003.1250918 – volume: 99 start-page: 210 year: 2020 ident: 2367_CR20 publication-title: ISA Trans doi: 10.1016/j.isatra.2019.09.004 – volume: 45 start-page: 15345 issue: 12 year: 2023 ident: 2367_CR41 publication-title: IEEE Trans Pattern Anal Mach Intell doi: 10.1109/TPAMI.2023.3319431 – volume: 169 start-page: 1 year: 2016 ident: 2367_CR17 publication-title: Comput Struct doi: 10.1016/j.compstruc.2016.03.001 – year: 2024 ident: 2367_CR24 publication-title: iScience doi: 10.1016/j.isci.2024.109086 – ident: 2367_CR48 doi: 10.48550/arXiv.2205.09485 – year: 2024 ident: 2367_CR9 publication-title: Int J Inf Technol doi: 10.1007/s41870-024-02120-5 – ident: 2367_CR4 doi: 10.1109/IISA.2019.8900698 – volume: 13 start-page: 115 issue: 1 year: 2021 ident: 2367_CR31 publication-title: Int J Inf Technol doi: 10.1007/s41870-020-00550-5 – ident: 2367_CR26 doi: 10.1609/aaai.v38i8.28665 – volume: 53 start-page: 26840 issue: 22 year: 2023 ident: 2367_CR21 publication-title: Appl Intell doi: 10.1007/s10489-023-04732-z – volume: 48 start-page: 2373 issue: 8 year: 2018 ident: 2367_CR34 publication-title: Appl Intell doi: 10.1007/s10489-017-1076-z – volume: 509 start-page: 422 year: 2018 ident: 2367_CR14 publication-title: Phys A doi: 10.1016/j.physa.2018.05.128 – volume: 37 start-page: 1301 issue: 3 year: 2023 ident: 2367_CR37 publication-title: Data Min Knowl Disc doi: 10.1007/s10618-023-00925-9 – ident: 2367_CR35 doi: 10.48550/arXiv.2105.02250 – volume: 7 start-page: 28 issue: 1 year: 2020 ident: 2367_CR57 publication-title: J Big Data doi: 10.1186/s40537-020-00305-w – volume: 30 start-page: 1396 issue: 5 year: 2020 ident: 2367_CR46 publication-title: IEEE Trans Circ Syst Video Technol doi: 10.1109/TCSVT.2019.2903563 – ident: 2367_CR13 doi: 10.24963/ijcai.2017/444 – volume: 196 start-page: 113 issue: july year: 2016 ident: 2367_CR6 publication-title: Neurocomputing doi: 10.1016/j.neucom.2016.01.089 – ident: 2367_CR40 – volume: 106 start-page: 463 issue: 4 year: 2017 ident: 2367_CR8 publication-title: Mach Learn doi: 10.1007/s10994-016-5604-6 – ident: 2367_CR42 doi: 10.1145/3503161.3548045 – volume: 41 start-page: 2584 issue: 11 year: 2019 ident: 2367_CR45 publication-title: IEEE Trans Pattern Anal Mach Intell doi: 10.1109/TPAMI.2018.2860995 – volume: 14 start-page: 539 issue: 1 year: 2022 ident: 2367_CR11 publication-title: Int J Inf Technol doi: 10.1007/s41870-018-0251-8 – volume: 159 year: 2020 ident: 2367_CR22 publication-title: Expert Syst Appl doi: 10.1016/j.eswa.2020.113572 – ident: 2367_CR39 doi: 10.1145/775047.775083 – ident: 2367_CR7 doi: 10.48550/arXiv.2201.13192 – ident: 2367_CR44 doi: 10.1109/ICIP46576.2022.9897738 – volume: 16 start-page: 2177 issue: 4 year: 2024 ident: 2367_CR10 publication-title: Int J Inf Technol doi: 10.1007/s41870-024-01740-1 – ident: 2367_CR54 – year: 2022 ident: 2367_CR3 publication-title: Fundam Res doi: 10.1016/j.fmre.2022.09.019 – volume: 15 start-page: 2569 issue: 5 year: 2023 ident: 2367_CR32 publication-title: Int J Inf Technol doi: 10.1007/s41870-023-01288-6 – ident: 2367_CR47 doi: 10.48550/arXiv.2404.00145 – volume: 9 start-page: 20051 year: 2021 ident: 2367_CR51 publication-title: IEEE Access doi: 10.1109/ACCESS.2021.3054799 – year: 2023 ident: 2367_CR12 publication-title: Know-Based Syst doi: 10.1016/j.knosys.2023.110819 – volume: 54 start-page: 2669 issue: 4 year: 2021 ident: 2367_CR19 publication-title: Artif Intell Rev doi: 10.1007/s10462-020-09911-9 – volume: 14 start-page: 389 issue: 1 year: 2022 ident: 2367_CR29 publication-title: Int J Inf Technol doi: 10.1007/s41870-021-00676-0 – ident: 2367_CR27 doi: 10.1007/978-3-642-31362-2_21 – volume: 23 start-page: 461 issue: 1 year: 2022 ident: 2367_CR23 publication-title: Brief Bioinform doi: 10.1093/bib/bbab461 – ident: 2367_CR55 – volume: 8 start-page: 173548 year: 2020 ident: 2367_CR18 publication-title: IEEE Access doi: 10.1109/ACCESS.2020.3024108 – volume: 7 start-page: 52871 year: 2019 ident: 2367_CR50 publication-title: IEEE Access doi: 10.1109/ACCESS.2019.2911629 – ident: 2367_CR38 – volume: 37 start-page: 201 year: 2014 ident: 2367_CR15 publication-title: Pattern Recogn Lett doi: 10.1016/j.patrec.2013.06.010 – ident: 2367_CR43 doi: 10.48550/arXiv.2201.06277 – volume: 53 start-page: 199 issue: 2 year: 2019 ident: 2367_CR56 publication-title: J Intell Inform Syst doi: 10.1007/s10844-019-00549-w |
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| SubjectTerms | Accuracy Adaptation Algorithms Artificial Intelligence Bias Classification Computer Imaging Computer Science Datasets Distance learning Heuristic methods Image Processing and Computer Vision Machine Learning Medical diagnosis Methods Optimization techniques Original Research Pattern Recognition and Graphics Samples Search algorithms Social networks Software Engineering Support vector machines Vision |
| Title | BiCSA-PUL: binary crow search algorithm for enhancing positive and unlabeled learning |
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