Stop the war!Остановите войну!
for scientists:
Google
Google Scholar
Semantic Scholar
IA Scholar
CiteSeerX
ORCIDEugenij Moiseevich Mirkes
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2022
[j16]Natalya A. Rybnikova
, Boris A. Portnov, Evgeny M. Mirkes, Andrei Yu. Zinovyev, Anna Brook, Alexander N. Gorban:
Coloring Panchromatic Nighttime Satellite Images: Comparing the Performance of Several Machine Learning Methods. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022)- [i21]Qinghua Zhou, Alexander N. Gorban, Evgeny M. Mirkes, Jonathan Bac, Andrei Yu. Zinovyev, Ivan Yu. Tyukin:
Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisation. CoRR abs/2203.16687 (2022) - 2021
- [j15]Alexander N. Gorban, Bogdan Grechuk, Evgeny M. Mirkes, Sergey V. Stasenko, Ivan Yu. Tyukin:
High-Dimensional Separability for One- and Few-Shot Learning. Entropy 23(8): 1090 (2021) - [j14]Santos J. Núñez Jareño, Daniël P. van Helden, Evgeny M. Mirkes, Ivan Yu. Tyukin, Penelope M. Allison:
Learning from Scarce Information: Using Synthetic Data to Classify Roman Fine Ware Pottery. Entropy 23(9): 1140 (2021) - [j13]Jonathan Bac, Evgeny M. Mirkes, Alexander N. Gorban, Ivan Tyukin, Andrei Yu. Zinovyev:
Scikit-Dimension: A Python Package for Intrinsic Dimension Estimation. Entropy 23(10): 1368 (2021) - [j12]Natalya A. Rybnikova, Evgeny M. Mirkes, Alexander N. Gorban:
CNN-Based Spectral Super-Resolution of Panchromatic Night-Time Light Imagery: City-Size-Associated Neighborhood Effects. Sensors 21(22): 7662 (2021) - [c10]Hossein Ghodrati Noushahr, Jeremy Levesley, Samad Ahmadi, Evgeny M. Mirkes:
GaussianProductAttributes: Density-Based Distributed Representations for Products. SGAI Conf. 2021: 139-145 - [i20]Neslihan Suzen, Alexander N. Gorban, Jeremy Levesley, Evgeny M. Mirkes:
Semantic Analysis for Automated Evaluation of the Potential Impact of Research Articles. CoRR abs/2104.12869 (2021) - [i19]Alexander N. Gorban, Bogdan Grechuk, Evgeny M. Mirkes, Sergey V. Stasenko, Ivan Yu. Tyukin:
High-dimensional separability for one- and few-shot learning. CoRR abs/2106.15416 (2021) - [i18]Santos J. Núñez Jareño, Daniël P. van Helden, Evgeny M. Mirkes, Ivan Yu. Tyukin, Penelope M. Allison:
Learning from scarce information: using synthetic data to classify Roman fine ware pottery. CoRR abs/2107.01401 (2021) - [i17]Jonathan Bac, Evgeny M. Mirkes, Alexander N. Gorban, Ivan Tyukin, Andrei Yu. Zinovyev:
Scikit-dimension: a Python package for intrinsic dimension estimation. CoRR abs/2109.02596 (2021) - 2020
- [j11]Alexander N. Gorban, Evgeny M. Mirkes, Ivan Yu. Tyukin:
How Deep Should be the Depth of Convolutional Neural Networks: a Backyard Dog Case Study. Cogn. Comput. 12(2): 388-397 (2020) - [j10]Evgeny M. Mirkes:
Universal Gorban's Entropies: Geometric Case Study. Entropy 22(3): 264 (2020) - [j9]Luca Albergante, Evgeny M. Mirkes, Jonathan Bac, Huidong Chen, Alexis Martin, Louis Faure, Emmanuel Barillot, Luca Pinello, Alexander N. Gorban, Andrei Yu. Zinovyev:
Robust and Scalable Learning of Complex Intrinsic Dataset Geometry via ElPiGraph. Entropy 22(3): 296 (2020) - [j8]Evgeny M. Mirkes, Jeza Allohibi, Alexander N. Gorban:
Fractional Norms and Quasinorms Do Not Help to Overcome the Curse of Dimensionality. Entropy 22(10): 1105 (2020) - [c9]Evgeny M. Mirkes:
Artificial Neural Network Pruning to Extract Knowledge. IJCNN 2020: 1-8 - [i16]Neslihan Suzen, Evgeny M. Mirkes, Alexander N. Gorban:
Informational Space of Meaning for Scientific Texts. CoRR abs/2004.13717 (2020) - [i15]Evgeny M. Mirkes, Jeza Allohibi, Alexander N. Gorban:
Fractional norms and quasinorms do not help to overcome the curse of dimensionality. CoRR abs/2004.14230 (2020) - [i14]Evgeny M. Mirkes:
Artificial Neural Network Pruning to Extract Knowledge. CoRR abs/2005.06284 (2020) - [i13]Sergey E. Golovenkin, Jonathan Bac, Alexander Chervov, Evgeny M. Mirkes, Yuliya V. Orlova, Emmanuel Barillot, Alexander N. Gorban, Andrei Yu. Zinovyev:
Trajectories, bifurcations and pseudotime in large clinical datasets: applications to myocardial infarction and diabetes data. CoRR abs/2007.03788 (2020) - [i12]Neslihan Suzen, Alexander N. Gorban, Jeremy Levesley, Evgeny M. Mirkes:
Principal Components of the Meaning. CoRR abs/2009.08859 (2020)
2010 – 2019
- 2019
- [j7]Petra J. Jones, Evgeny M. Mirkes, Tom Yates, Charlotte L. Edwardson, Mike Catt, Melanie J. Davies, Kamlesh Khunti, Alex V. Rowlands:
Towards a Portable Model to Discriminate Activity Clusters from Accelerometer Data. Sensors 19(20): 4504 (2019) - [c8]Evgeny M. Mirkes, Jeza Allohibi, Alexander N. Gorban:
Do Fractional Norms and Quasinorms Help to Overcome the Curse of Dimensionality? IJCNN 2019: 1-8 - [i11]Neslihan Suzen, Evgeny M. Mirkes, Alexander N. Gorban:
LScDC-new large scientific dictionary. CoRR abs/1912.06858 (2019) - 2018
- [j6]Alexander N. Gorban, A. Golubkov, Bogdan Grechuk, Eugenij Moiseevich Mirkes, Ivan Tyukin:
Correction of AI systems by linear discriminants: Probabilistic foundations. Inf. Sci. 466: 303-322 (2018) - [c7]Alexander N. Gorban, Evgeny M. Mirkes, Andrei Yu. Zinovyev:
Data analysis with arbitrary error measures approximated by piece-wise quadratic PQSQ functions. IJCNN 2018: 1-8 - [i10]Luca Albergante, Evgeny M. Mirkes, Huidong Chen, Alexis Martin, Louis Faure, Emmanuel Barillot, Luca Pinello, Alexander N. Gorban, Andrei Yu. Zinovyev:
Robust and scalable learning of data manifolds with complex topologies via ElPiGraph. CoRR abs/1804.07580 (2018) - [i9]Alexander N. Gorban, Evgeny M. Mirkes, I. Y. Tukin:
How deep should be the depth of convolutional neural networks: a backyard dog case study. CoRR abs/1805.01516 (2018) - [i8]Neslihan Suzen, Alexander N. Gorban, Jeremy Levesley, Evgeny M. Mirkes:
Automatic Short Answer Grading and Feedback Using Text Mining Methods. CoRR abs/1807.10543 (2018) - [i7]Alexander N. Gorban, A. Golubkov, Bogdan Grechuk, Evgeny M. Mirkes, Ivan Yu. Tyukin:
Correction of AI systems by linear discriminants: Probabilistic foundations. CoRR abs/1811.05321 (2018) - 2016
- [j5]Eugenij Moiseevich Mirkes, Timothy J. Coats, Jeremy Levesley, Alexander N. Gorban:
Handling missing data in large healthcare dataset: A case study of unknown trauma outcomes. Comput. Biol. Medicine 75: 203-216 (2016) - [j4]Ayodeji A. Akinduko, Evgeny M. Mirkes, Alexander N. Gorban:
SOM: Stochastic initialization versus principal components. Inf. Sci. 364-365: 213-221 (2016) - [j3]Alexander N. Gorban, Eugenij Moiseevich Mirkes, Andrei Yu. Zinovyev:
Piece-wise quadratic approximations of arbitrary error functions for fast and robust machine learning. Neural Networks 84: 28-38 (2016) - [i6]Alexander N. Gorban, Eugenij Moiseevich Mirkes, Andrei Yu. Zinovyev:
Robust principal graphs for data approximation. CoRR abs/1603.06828 (2016) - [i5]Alexander N. Gorban, Eugenij Moiseevich Mirkes, Andrei Yu. Zinovyev:
Piece-wise quadratic lego set for constructing arbitrary error potentials and their fast optimization. CoRR abs/1605.06276 (2016) - 2014
- [j2]Eugenij Moiseevich Mirkes, I. Alexandrakis, K. Slater, R. Tuli, Alexander N. Gorban:
Computational diagnosis and risk evaluation for canine lymphoma. Comput. Biol. Medicine 53: 279-290 (2014) - [c6]Konstantin I. Sofeikov, Ivan Tyukin, Alexander N. Gorban, Eugenij Moiseevich Mirkes, Danil V. Prokhorov, Ilya V. Romanenko:
Learning optimization for decision tree classification of non-categorical data with information gain impurity criterion. IJCNN 2014: 3548-3555 - 2013
- [j1]Andrei Yu. Zinovyev, Evgeny M. Mirkes:
Data complexity measured by principal graphs. Comput. Math. Appl. 65(10): 1471-1482 (2013) - [c5]Evgeny M. Mirkes, Andrei Yu. Zinovyev, Alexander N. Gorban:
Geometrical Complexity of Data Approximators. IWANN (1) 2013: 500-509 - [c4]Michael G. Sadovsky, Eugene Mirkes:
New Structure in Genomes Manifests in Triplet Distribution Alongside a Sequence. IWBBIO 2013: 89-97 - [i4]Eugenij Moiseevich Mirkes, Andrei Yu. Zinovyev, Alexander N. Gorban:
Geometrical complexity of data approximators. CoRR abs/1302.2645 (2013) - 2012
- [i3]A. A. Akinduko, Evgeny M. Mirkes:
Initialization of Self-Organizing Maps: Principal Components Versus Random Initialization. A Case Study. CoRR abs/1210.5873 (2012) - [i2]Andrei Yu. Zinovyev, Evgeny M. Mirkes:
Data complexity measured by principal graphs. CoRR abs/1212.5841 (2012)
2000 – 2009
- 2003
- [c3]Mikhail Alexandrovich Vishnevsky, Vladimir Dmitrievich Koshur, Alexander Ivanovich Legalov, Eugenij Moiseevich Mirkes:
Protective Laminar Composites Design Optimisation Using Genetic Algorithm and Parallel Processing. PaCT 2003: 394-400 - [i1]Alexander N. Gorban, Eugenij Moiseevich Mirkes, Victor G. Tsaregorodtsev:
Generation of Explicit Knowledge from Empirical Data through Pruning of Trainable Neural Networks. CoRR cond-mat/0307083 (2003)
1990 – 1999
- 1999
- [c2]Alexander N. Gorban, Evgeny M. Mirkes, Victor G. Tsaregorodtsev:
Generation of explicit knowledge from empirical data through pruning of trainable neural networks. IJCNN 1999: 4393-4398 - 1997
- [c1]Alexander N. Gorban, Yeugenii M. Mirkes, Donald C. Wunsch II:
High order orthogonal tensor networks: information capacity and reliability. ICNN 1997: 1311-1314
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
load content from web.archive.org
Privacy notice: By enabling the option above, your browser will contact the API of web.archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
Tweets on dblp homepage
Show tweets from 
on the dblp homepage.
Privacy notice: By enabling the option above, your browser will contact twitter.com and twimg.com to load tweets curated by our Twitter account. At the same time, Twitter will persistently store several cookies with your web browser. While we did signal Twitter to not track our users by setting the "dnt" flag, we do not have any control over how Twitter uses your data. So please proceed with care and consider checking the Twitter privacy policy.
last updated on 2022-04-11 22:04 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp has been originally created in 1993 at:
since 2018, dblp is operated and maintained by:
the dblp computer science bibliography is funded and supported by:
