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A robust Correntropy-based method for analyzing multisample aCGH data.
Genomics. 2015 Nov;106(5):257-64. doi: 10.1016/j.ygeno.2015.07.008. Epub 2015 Aug 3.
Genomics. 2015.
PMID: 26247398
Free article.
A New Correntropy-Based Conjugate Gradient Backpropagation Algorithm for Improving Training in Neural Networks.
Heravi AR, Abed Hodtani G.
Heravi AR, et al. Among authors: abed hodtani g.
IEEE Trans Neural Netw Learn Syst. 2018 Dec;29(12):6252-6263. doi: 10.1109/TNNLS.2018.2827778. Epub 2018 May 10.
IEEE Trans Neural Netw Learn Syst. 2018.
PMID: 29993752
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Information-theoretic analysis of Hierarchical Temporal Memory-Spatial Pooler algorithm with a new upper bound for the standard information bottleneck method.
Sanati S, Rouhani M, Hodtani GA.
Sanati S, et al. Among authors: hodtani ga.
Front Comput Neurosci. 2023 Jun 7;17:1140782. doi: 10.3389/fncom.2023.1140782. eCollection 2023.
Front Comput Neurosci. 2023.
PMID: 37351534
Free PMC article.
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Robust and stable gene selection via Maximum-Minimum Correntropy Criterion.
Mohammadi M, Sharifi Noghabi H, Abed Hodtani G, Rajabi Mashhadi H.
Mohammadi M, et al. Among authors: abed hodtani g.
Genomics. 2016 Mar;107(2-3):83-87. doi: 10.1016/j.ygeno.2015.12.006. Epub 2016 Jan 5.
Genomics. 2016.
PMID: 26762945
Free article.
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A robust aCGH data recovery framework based on half quadratic minimization.
Mohammadi M, Abed Hodtani G.
Mohammadi M, et al. Among authors: abed hodtani g.
Comput Biol Med. 2016 Mar 1;70:58-66. doi: 10.1016/j.compbiomed.2015.12.026. Epub 2016 Jan 12.
Comput Biol Med. 2016.
PMID: 26803290
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