Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDEugenij Moiseevich Mirkes
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 2024
[j18]Ivan Yu. Tyukin, Tatiana Tyukina, Daniël P. van Helden, Zedong Zheng, Evgeny M. Mirkes, Oliver J. Sutton, Qinghua Zhou, Alexander N. Gorban, Penelope M. Allison:
Coping with AI errors with provable guarantees. Inf. Sci. 678: 120856 (2024)- 2023
- [j17]Evgeny M. Mirkes
, Jonathan Bac, Aziz Fouché, Sergey V. Stasenko, Andrei Yu. Zinovyev, Alexander N. Gorban:
Domain Adaptation Principal Component Analysis: Base Linear Method for Learning with Out-of-Distribution Data. Entropy 25(1): 33 (2023) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 2013
- [j1]Andrei Yu. Zinovyev, Evgeny M. Mirkes:
Data complexity measured by principal graphs. Comput. Math. Appl. 65(10): 1471-1482 (2013)
Conference and Workshop Papers
- 2023
- [c13]Neslihan Suzen, Evgeny M. Mirkes, Damian Roland, Jeremy Levesley, Alexander N. Gorban, Timothy J. Coats:
What is Hiding in Medicine's Dark Matter? Learning with Missing Data in Medical Practices. IEEE Big Data 2023: 4979-4986 - [c12]Ying Liu, Liucheng Guo, Valeri A. Makarov, Yuxiang Huang, Alexander N. Gorban, Evgeny M. Mirkes, Ivan Yu. Tyukin:
Agile gesture recognition for capacitive sensing devices: adapting on-the-job. IJCNN 2023: 1-8 - 2022
- [c11]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. IJCNN 2022: 1-8 - 2021
- [c10]Hossein Ghodrati Noushahr, Jeremy Levesley, Samad Ahmadi, Evgeny M. Mirkes:
GaussianProductAttributes: Density-Based Distributed Representations for Products. SGAI Conf. 2021: 139-145 - 2020
- [c9]Evgeny M. Mirkes:
Artificial Neural Network Pruning to Extract Knowledge. IJCNN 2020: 1-8 - 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 - 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 - 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
- [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 - 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 - 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
Informal and Other Publications
- 2024
- [i27]Ivan Yu. Tyukin, Tatiana Tyukina, Daniël P. van Helden, Zedong Zheng, Evgeny M. Mirkes, Oliver J. Sutton, Qinghua Zhou, Alexander N. Gorban, Penelope M. Allison:
Weakly Supervised Learners for Correction of AI Errors with Provable Performance Guarantees. CoRR abs/2402.00899 (2024) - [i26]Neslihan Suzen, Evgeny M. Mirkes, Damian Roland, Jeremy Levesley, Alexander N. Gorban, Timothy J. Coats:
What is Hiding in Medicine's Dark Matter? Learning with Missing Data in Medical Practices. CoRR abs/2402.06563 (2024) - 2023
- [i25]Ying Liu, Liucheng Guo, Valeri A. Makarov, Yuxiang Huang, Alexander N. Gorban, Evgeny M. Mirkes, Ivan Yu. Tyukin:
Agile gesture recognition for capacitive sensing devices: adapting on-the-job. CoRR abs/2305.07624 (2023) - [i24]Innokentiy Kastalskiy, Andrei Yu. Zinovyev, Evgeny M. Mirkes, Victor B. Kazantsev, Alexander N. Gorban:
Exploring the impact of social stress on the adaptive dynamics of COVID-19: Typing the behavior of naïve populations faced with epidemics. CoRR abs/2311.13917 (2023) - 2022
- [i23]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) - [i22]Neslihan Suzen, Alexander N. Gorban, Jeremy Levesley, Evgeny M. Mirkes:
An Informational Space Based Semantic Analysis for Scientific Texts. CoRR abs/2205.15696 (2022) - [i21]Evgeny M. Mirkes, Jonathan Bac, Aziz Fouché, Sergey V. Stasenko, Andrei Yu. Zinovyev, Alexander N. Gorban:
Domain Adaptation Principal Component Analysis: base linear method for learning with out-of-distribution data. CoRR abs/2208.13290 (2022) - 2021
- [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
- [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) - 2019
- [i11]Neslihan Suzen, Evgeny M. Mirkes, Alexander N. Gorban:
LScDC-new large scientific dictionary. CoRR abs/1912.06858 (2019) - 2018
- [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
- [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) - 2013
- [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) - 2003
- [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)
Coauthor Index
aka: Ivan Yu. Tyukin
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).
Privacy notice: By enabling the option above, your browser will contact the API of 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.
last updated on 2024-06-25 23:41 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 was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
