Evgeny M. Mirkes

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 42

Top Topics

Sensing Devices

Intrinsic Dimension

Principal Components

Semantic Analysis

Top Venues

Publications

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. Commun. Nonlinear Sci. Numer. Simul. 132 (2024)
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 (2024)
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 (2024)
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 (2024)
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)
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 (2023)
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) (2023)
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. BigData (2023)
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 (2023)
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 (2022)
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)
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 (2022)
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 (2022)
Neslihan Suzen, Alexander N. Gorban, Jeremy Levesley, Evgeny M. Mirkes
An Informational Space Based Semantic Analysis for Scientific Texts. CoRR (2022)
Neslihan Suzen, Alexander N. Gorban, Jeremy Levesley, Evgeny M. Mirkes
Semantic Analysis for Automated Evaluation of the Potential Impact of Research Articles. CoRR (2021)
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) (2021)
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 (2021)
Alexander N. Gorban, Bogdan Grechuk, Evgeny M. Mirkes, Sergey V. Stasenko, Ivan Yu. Tyukin
High-dimensional separability for one- and few-shot learning. CoRR (2021)
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) (2021)
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) (2021)
Hossein Ghodrati Noushahr, Jeremy Levesley, Samad Ahmadi, Evgeny M. Mirkes
GaussianProductAttributes: Density-Based Distributed Representations for Products. SGAI Conf. (2021)
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) (2021)
Jonathan Bac, Evgeny M. Mirkes, Alexander N. Gorban, Ivan Tyukin, Andrei Yu. Zinovyev
Scikit-dimension: a Python package for intrinsic dimension estimation. CoRR (2021)
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) (2020)
Evgeny M. Mirkes, Jeza Allohibi, Alexander N. Gorban
Fractional norms and quasinorms do not help to overcome the curse of dimensionality. CoRR (2020)
Evgeny M. Mirkes, Jeza Allohibi, Alexander N. Gorban
Fractional Norms and Quasinorms Do Not Help to Overcome the Curse of Dimensionality. Entropy 22 (10) (2020)
Evgeny M. Mirkes
Universal Gorban's Entropies: Geometric Case Study. Entropy 22 (3) (2020)
Evgeny M. Mirkes
Artificial Neural Network Pruning to Extract Knowledge. CoRR (2020)
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) (2020)
Neslihan Suzen, Alexander N. Gorban, Jeremy Levesley, Evgeny M. Mirkes
Principal Components of the Meaning. CoRR (2020)
Evgeny M. Mirkes
Artificial Neural Network Pruning to Extract Knowledge. IJCNN (2020)
Neslihan Suzen, Evgeny M. Mirkes, Alexander N. Gorban
Informational Space of Meaning for Scientific Texts. CoRR (2020)
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 (2020)
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) (2019)
Evgeny M. Mirkes, Jeza Allohibi, Alexander N. Gorban
Do Fractional Norms and Quasinorms Help to Overcome the Curse of Dimensionality? IJCNN (2019)
Neslihan Suzen, Evgeny M. Mirkes, Alexander N. Gorban
LScDC-new large scientific dictionary. CoRR (2019)
Alexander N. Gorban, A. Golubkov, Bogdan Grechuk, Evgeny M. Mirkes, Ivan Yu. Tyukin
Correction of AI systems by linear discriminants: Probabilistic foundations. CoRR (2018)
Alexander N. Gorban, Evgeny M. Mirkes, Andrei Yu. Zinovyev
Data analysis with arbitrary error measures approximated by piece-wise quadratic PQSQ functions. IJCNN (2018)
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 (2018)
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 (2018)
Neslihan Suzen, Alexander N. Gorban, Jeremy Levesley, Evgeny M. Mirkes
Automatic Short Answer Grading and Feedback Using Text Mining Methods. CoRR (2018)
Ayodeji A. Akinduko, Evgeny M. Mirkes, Alexander N. Gorban
SOM: Stochastic initialization versus principal components. Inf. Sci. (2016)
Andrei Yu. Zinovyev, Evgeny M. Mirkes
Data complexity measured by principal graphs. Comput. Math. Appl. 65 (10) (2013)
Evgeny M. Mirkes, Andrei Yu. Zinovyev, Alexander N. Gorban
Geometrical Complexity of Data Approximators. IWANN (1) (2013)
A. A. Akinduko, Evgeny M. Mirkes
Initialization of Self-Organizing Maps: Principal Components Versus Random Initialization. A Case Study CoRR (2012)
Andrei Yu. Zinovyev, Evgeny M. Mirkes
Data complexity measured by principal graphs CoRR (2012)
Alexander N. Gorban, Evgeny M. Mirkes, Victor G. Tsaregorodtsev
Generation of explicit knowledge from empirical data through pruning of trainable neural networks. IJCNN (1999)