Evgeny M. Mirkes - researchr alias

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Viewing Publication 1 - 22 from 22

2023

2022

Coloring Panchromatic Nighttime Satellite Images: Comparing the Performance of Several Machine Learning MethodsNatalya A. Rybnikova, Boris A. Portnov, Evgeny M. Mirkes, Andrei Yu. Zinovyev, Anna Brook, Alexander N. Gorban. tgrs, 60:1-15, 2022. [doi]

Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisationQinghua Zhou, Alexander N. Gorban, Evgeny M. Mirkes, Jonathan Bac, Andrei Yu. Zinovyev, Ivan Yu. Tyukin. ijcnn 2022: 1-8 [doi]

2021

Scikit-Dimension: A Python Package for Intrinsic Dimension EstimationJonathan Bac, Evgeny M. Mirkes, Alexander N. Gorban, Ivan Tyukin, Andrei Yu. Zinovyev. entropy, 23(10):1368, 2021. [doi]

High-Dimensional Separability for One- and Few-Shot LearningAlexander N. Gorban, Bogdan Grechuk, Evgeny M. Mirkes, Sergey V. Stasenko, Ivan Yu. Tyukin. entropy, 23(8):1090, 2021. [doi]

Learning from Scarce Information: Using Synthetic Data to Classify Roman Fine Ware PotterySantos J. Núñez Jareño, Daniël P. van Helden, Evgeny M. Mirkes, Ivan Yu. Tyukin, Penelope M. Allison. entropy, 23(9):1140, 2021. [doi]

GaussianProductAttributes: Density-Based Distributed Representations for ProductsHossein Ghodrati Noushahr, Jeremy Levesley, Samad Ahmadi, Evgeny M. Mirkes. sgai 2021: 139-145 [doi]

CNN-Based Spectral Super-Resolution of Panchromatic Night-Time Light Imagery: City-Size-Associated Neighborhood EffectsNatalya A. Rybnikova, Evgeny M. Mirkes, Alexander N. Gorban. sensors, 21(22):7662, 2021. [doi]

2020

2019

Towards a Portable Model to Discriminate Activity Clusters from Accelerometer DataPetra Jones, Evgeny M. Mirkes, Tom Yates, Charlotte L. Edwardson, Mike Catt, Melanie J. Davies, Kamlesh Khunti, Alex V. Rowlands. sensors, 19(20):4504, 2019. [doi]

Do Fractional Norms and Quasinorms Help to Overcome the Curse of Dimensionality?Evgeny M. Mirkes, Jeza Allohibi, Alexander N. Gorban. ijcnn 2019: 1-8 [doi]

2018

Data analysis with arbitrary error measures approximated by piece-wise quadratic PQSQ functionsAlexander N. Gorban, Evgeny M. Mirkes, Andrei Zinovyev. ijcnn 2018: 1-8 [doi]

2016

SOM: Stochastic initialization versus principal componentsAyodeji A. Akinduko, Evgeny M. Mirkes, Alexander N. Gorban. isci, 364-365:213-221, 2016. [doi]

2013

Geometrical Complexity of Data ApproximatorsEvgeny M. Mirkes, Andrei Zinovyev, Alexander N. Gorban. iwann 2013: 500-509 [doi]

Data complexity measured by principal graphsAndrei Zinovyev, Evgeny M. Mirkes. cma, 65(10):1471-1482, 2013. [doi]

1999

Generation of explicit knowledge from empirical data through pruning of trainable neural networksAlexander N. Gorban, Evgeny M. Mirkes, Victor G. Tsaregorodtsev. ijcnn 1999: 4393-4398 [doi]

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