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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
2002 1
2003 1
2004 3
2005 2
2006 3
2007 3
2008 4
2009 6
2010 4
2011 5
2012 8
2013 5
2014 6
2015 9
2016 13
2017 7
2018 17
2019 13
2020 9
2021 10
2022 27
2023 30
2024 8

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152 results

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Page 1
Special Issue on Granular/Symbolic Data Processing.
Su SF, Pedrycz W, Hong TP, de Carvalho Fde A. Su SF, et al. Among authors: pedrycz w. IEEE Trans Cybern. 2016 Feb;46(2):342-3. doi: 10.1109/TCYB.2015.2513258. Epub 2016 Jan 6. IEEE Trans Cybern. 2016. PMID: 26742157 No abstract available.
Knowledge-Induced Multiple Kernel Fuzzy Clustering.
Tang Y, Pan Z, Hu X, Pedrycz W, Chen R. Tang Y, et al. Among authors: pedrycz w. IEEE Trans Pattern Anal Mach Intell. 2023 Dec;45(12):14838-14855. doi: 10.1109/TPAMI.2023.3298629. Epub 2023 Nov 3. IEEE Trans Pattern Anal Mach Intell. 2023. PMID: 37490382
Granular computing: perspectives and challenges.
Yao J, Vasilakos AV, Pedrycz W. Yao J, et al. Among authors: pedrycz w. IEEE Trans Cybern. 2013 Dec;43(6):1977-89. doi: 10.1109/TSMCC.2012.2236648. IEEE Trans Cybern. 2013. PMID: 23757594 Review.
Center transfer for supervised domain adaptation.
Huang X, Zhou N, Huang J, Zhang H, Pedrycz W, Choi KS. Huang X, et al. Among authors: pedrycz w. Appl Intell (Dordr). 2023 Jan 26:1-17. doi: 10.1007/s10489-022-04414-2. Online ahead of print. Appl Intell (Dordr). 2023. PMID: 36718382 Free PMC article.
Amer: A New Attribute-Missing Network Embedding Approach.
Jin D, Wang R, Wang T, He D, Ding W, Huang Y, Wang L, Pedrycz W. Jin D, et al. Among authors: pedrycz w. IEEE Trans Cybern. 2023 Jul;53(7):4306-4319. doi: 10.1109/TCYB.2022.3166539. Epub 2023 Jun 15. IEEE Trans Cybern. 2023. PMID: 35486568
Random Polynomial Neural Networks: Analysis and Design.
Huang W, Xiao Y, Oh SK, Pedrycz W, Zhu L. Huang W, et al. Among authors: pedrycz w. IEEE Trans Neural Netw Learn Syst. 2023 Jul 4;PP. doi: 10.1109/TNNLS.2023.3288577. Online ahead of print. IEEE Trans Neural Netw Learn Syst. 2023. PMID: 37402196
Deep Fuzzy Min-Max Neural Network: Analysis and Design.
Huang W, Sun M, Zhu L, Oh SK, Pedrycz W. Huang W, et al. Among authors: pedrycz w. IEEE Trans Neural Netw Learn Syst. 2022 Dec 14;PP. doi: 10.1109/TNNLS.2022.3226040. Online ahead of print. IEEE Trans Neural Netw Learn Syst. 2022. PMID: 37015551
152 results