Evgeny M. Mirkes

52 papers B 8Journal 41Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Linear Dimensionality Reduction: What Is Better? Data Mohit Baliyan, Evgeny M. Mirkes
2025	—	`conf`	Robust Deep Learning for Myocardial Scar Segmentation in Cardiac MRI with Noisy Labels. MICCAI (13) Aida Moafi, Danial Moafi, Evgeny M. Mirkes, Gerry P. McCann, Abbas S. Alatrany, Jayanth Ranjit Arnold, Mostafa Mehdipour-Ghazi
2025	J	`jnl`	Robust Deep Learning for Myocardial Scar Segmentation in Cardiac MRI with Noisy Labels. CoRR Aida Moafi, Danial Moafi, Evgeny M. Mirkes, Gerry P. McCann, Abbas S. Alatrany, Jayanth Ranjit Arnold, Mostafa Mehdipour-Ghazi
2025	J	`jnl`	When fractional quasi p-norms concentrate. CoRR Ivan Yu. Tyukin, Bogdan Grechuk, Evgeny M. Mirkes, Alexander N. Gorban
2024	J	`jnl`	Coping with AI errors with provable guarantees. Inf. Sci. 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
2024	J	`jnl`	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. Innokentiy Kastalskiy, Andrei Yu. Zinovyev, Evgeny M. Mirkes, Victor B. Kazantsev, Alexander N. Gorban
2024	B	`conf`	Weakly Supervised Learners for Correction of AI Errors with Provable Performance Guarantees. IJCNN Ivan Yu. Tyukin, Tatiana Tyukina, Daniel van Helden, Zedong Zheng, Evgeny M. Mirkes, Oliver J. Sutton, Qinghua Zhou, Alexander N. Gorban, Penelope M. Allison
2024	J	`jnl`	Weakly Supervised Learners for Correction of AI Errors with Provable Performance Guarantees. CoRR 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
2024	J	`jnl`	What is Hiding in Medicine's Dark Matter? Learning with Missing Data in Medical Practices. CoRR Neslihan Suzen, Evgeny M. Mirkes, Damian Roland, Jeremy Levesley, Alexander N. Gorban, Timothy J. Coats
2023	B	`conf`	Agile gesture recognition for capacitive sensing devices: adapting on-the-job. IJCNN Ying Liu, Liucheng Guo, Valeri A. Makarov, Yuxiang Huang, Alexander N. Gorban, Evgeny M. Mirkes, Ivan Yu. Tyukin
2023	J	`jnl`	Agile gesture recognition for capacitive sensing devices: adapting on-the-job. CoRR Ying Liu, Liucheng Guo, Valeri A. Makarov, Yuxiang Huang, Alexander N. Gorban, Evgeny M. Mirkes, Ivan Yu. Tyukin
2023	J	`jnl`	Domain Adaptation Principal Component Analysis: Base Linear Method for Learning with Out-of-Distribution Data. Entropy Evgeny M. Mirkes, Jonathan Bac, Aziz Fouché, Sergey V. Stasenko, Andrei Yu. Zinovyev, Alexander N. Gorban
2023	J	`jnl`	Exploring the impact of social stress on the adaptive dynamics of COVID-19: Typing the behavior of naïve populations faced with epidemics. CoRR Innokentiy Kastalskiy, Andrei Yu. Zinovyev, Evgeny M. Mirkes, Victor B. Kazantsev, Alexander N. Gorban
2023	B	`conf`	What is Hiding in Medicine's Dark Matter? Learning with Missing Data in Medical Practices. IEEE Big Data Neslihan Suzen, Evgeny M. Mirkes, Damian Roland, Jeremy Levesley, Alexander N. Gorban, Timothy J. Coats
2022	J	`jnl`	An Informational Space Based Semantic Analysis for Scientific Texts. CoRR Neslihan Suzen, Alexander N. Gorban, Jeremy Levesley, Evgeny M. Mirkes
2022	J	`jnl`	Coloring Panchromatic Nighttime Satellite Images: Comparing the Performance of Several Machine Learning Methods. IEEE Trans. Geosci. Remote. Sens. Natalya A. Rybnikova, Boris A. Portnov, Evgeny M. Mirkes, Andrei Yu. Zinovyev, Anna Brook, Alexander N. Gorban
2022	J	`jnl`	Domain Adaptation Principal Component Analysis: base linear method for learning with out-of-distribution data. CoRR Evgeny M. Mirkes, Jonathan Bac, Aziz Fouché, Sergey V. Stasenko, Andrei Yu. Zinovyev, Alexander N. Gorban
2022	B	`conf`	Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisation. IJCNN Qinghua Zhou, Alexander N. Gorban, Evgeny M. Mirkes, Jonathan Bac, Andrei Yu. Zinovyev, Ivan Yu. Tyukin
2022	J	`jnl`	Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisation. CoRR Qinghua Zhou, Alexander N. Gorban, Evgeny M. Mirkes, Jonathan Bac, Andrei Yu. Zinovyev, Ivan Yu. Tyukin
2021	J	`jnl`	CNN-Based Spectral Super-Resolution of Panchromatic Night-Time Light Imagery: City-Size-Associated Neighborhood Effects. Sensors Natalya A. Rybnikova, Evgeny M. Mirkes, Alexander N. Gorban
2021	—	`conf`	GaussianProductAttributes: Density-Based Distributed Representations for Products. SGAI Conf. Hossein Ghodrati Noushahr, Jeremy Levesley, Samad Ahmadi, Evgeny M. Mirkes
2021	J	`jnl`	High-Dimensional Separability for One- and Few-Shot Learning. Entropy Alexander N. Gorban, Bogdan Grechuk, Evgeny M. Mirkes, Sergey V. Stasenko, Ivan Yu. Tyukin
2021	J	`jnl`	High-dimensional separability for one- and few-shot learning. CoRR Alexander N. Gorban, Bogdan Grechuk, Evgeny M. Mirkes, Sergey V. Stasenko, Ivan Yu. Tyukin
2021	J	`jnl`	Learning from Scarce Information: Using Synthetic Data to Classify Roman Fine Ware Pottery. Entropy Santos J. Núñez Jareño, Daniël P. van Helden, Evgeny M. Mirkes, Ivan Yu. Tyukin, Penelope M. Allison
2021	J	`jnl`	Learning from scarce information: using synthetic data to classify Roman fine ware pottery. CoRR Santos J. Núñez Jareño, Daniël P. van Helden, Evgeny M. Mirkes, Ivan Yu. Tyukin, Penelope M. Allison
2021	J	`jnl`	Scikit-Dimension: A Python Package for Intrinsic Dimension Estimation. Entropy Jonathan Bac, Evgeny M. Mirkes, Alexander N. Gorban, Ivan Tyukin, Andrei Yu. Zinovyev
2021	J	`jnl`	Scikit-dimension: a Python package for intrinsic dimension estimation. CoRR Jonathan Bac, Evgeny M. Mirkes, Alexander N. Gorban, Ivan Tyukin, Andrei Yu. Zinovyev
2021	J	`jnl`	Semantic Analysis for Automated Evaluation of the Potential Impact of Research Articles. CoRR Neslihan Suzen, Alexander N. Gorban, Jeremy Levesley, Evgeny M. Mirkes
2020	B	`conf`	Artificial Neural Network Pruning to Extract Knowledge. IJCNN Evgeny M. Mirkes
2020	J	`jnl`	Artificial Neural Network Pruning to Extract Knowledge. CoRR Evgeny M. Mirkes
2020	J	`jnl`	Fractional Norms and Quasinorms Do Not Help to Overcome the Curse of Dimensionality. Entropy Evgeny M. Mirkes, Jeza Allohibi, Alexander N. Gorban
2020	J	`jnl`	Fractional norms and quasinorms do not help to overcome the curse of dimensionality. CoRR Evgeny M. Mirkes, Jeza Allohibi, Alexander N. Gorban
2020	J	`jnl`	How Deep Should be the Depth of Convolutional Neural Networks: a Backyard Dog Case Study. Cogn. Comput. Alexander N. Gorban, Evgeny M. Mirkes, Ivan Yu. Tyukin
2020	J	`jnl`	Informational Space of Meaning for Scientific Texts. CoRR Neslihan Suzen, Evgeny M. Mirkes, Alexander N. Gorban
2020	J	`jnl`	Principal Components of the Meaning. CoRR Neslihan Suzen, Alexander N. Gorban, Jeremy Levesley, Evgeny M. Mirkes
2020	J	`jnl`	Robust and Scalable Learning of Complex Intrinsic Dataset Geometry via ElPiGraph. Entropy Luca Albergante, Evgeny M. Mirkes, Jonathan Bac, Huidong Chen, Alexis Martin, Louis Faure, Emmanuel Barillot, Luca Pinello, Alexander N. Gorban, Andrei Yu. Zinovyev
2020	J	`jnl`	Trajectories, bifurcations and pseudotime in large clinical datasets: applications to myocardial infarction and diabetes data. CoRR Sergey E. Golovenkin, Jonathan Bac, Alexander Chervov, Evgeny M. Mirkes, Yuliya V. Orlova, Emmanuel Barillot, Alexander N. Gorban, Andrei Yu. Zinovyev
2020	J	`jnl`	Universal Gorban's Entropies: Geometric Case Study. Entropy Evgeny M. Mirkes
2019	B	`conf`	Do Fractional Norms and Quasinorms Help to Overcome the Curse of Dimensionality? IJCNN Evgeny M. Mirkes, Jeza Allohibi, Alexander N. Gorban
2019	J	`jnl`	LScDC-new large scientific dictionary. CoRR Neslihan Suzen, Evgeny M. Mirkes, Alexander N. Gorban
2019	J	`jnl`	Towards a Portable Model to Discriminate Activity Clusters from Accelerometer Data. Sensors Petra J. Jones, Evgeny M. Mirkes, Tom Yates, Charlotte L. Edwardson, Mike Catt, Melanie J. Davies, Kamlesh Khunti, Alex V. Rowlands
2018	J	`jnl`	Automatic Short Answer Grading and Feedback Using Text Mining Methods. CoRR Neslihan Suzen, Alexander N. Gorban, Jeremy Levesley, Evgeny M. Mirkes
2018	J	`jnl`	Correction of AI systems by linear discriminants: Probabilistic foundations. CoRR Alexander N. Gorban, A. Golubkov, Bogdan Grechuk, Evgeny M. Mirkes, Ivan Yu. Tyukin
2018	B	`conf`	Data analysis with arbitrary error measures approximated by piece-wise quadratic PQSQ functions. IJCNN Alexander N. Gorban, Evgeny M. Mirkes, Andrei Yu. Zinovyev
2018	J	`jnl`	How deep should be the depth of convolutional neural networks: a backyard dog case study. CoRR Alexander N. Gorban, Evgeny M. Mirkes, I. Y. Tukin
2018	J	`jnl`	Robust and scalable learning of data manifolds with complex topologies via ElPiGraph. CoRR Luca Albergante, Evgeny M. Mirkes, Huidong Chen, Alexis Martin, Louis Faure, Emmanuel Barillot, Luca Pinello, Alexander N. Gorban, Andrei Yu. Zinovyev
2016	J	`jnl`	SOM: Stochastic initialization versus principal components. Inf. Sci. Ayodeji A. Akinduko, Evgeny M. Mirkes, Alexander N. Gorban
2013	J	`jnl`	Data complexity measured by principal graphs. Comput. Math. Appl. Andrei Yu. Zinovyev, Evgeny M. Mirkes
2013	—	`conf`	Geometrical Complexity of Data Approximators. IWANN (1) Evgeny M. Mirkes, Andrei Yu. Zinovyev, Alexander N. Gorban
2012	J	`jnl`	Data complexity measured by principal graphs CoRR Andrei Yu. Zinovyev, Evgeny M. Mirkes
2012	J	`jnl`	Initialization of Self-Organizing Maps: Principal Components Versus Random Initialization. A Case Study CoRR A. A. Akinduko, Evgeny M. Mirkes
1999	B	`conf`	Generation of explicit knowledge from empirical data through pruning of trainable neural networks. IJCNN Alexander N. Gorban, Evgeny M. Mirkes, Victor G. Tsaregorodtsev