High order orthogonal tensor networks: information capacity and reliability. - Alexander N. Gorban; Yeugenii M. Mirkes; Donald C. Wunsch II (ICNN, 1997)

Backpropagation of accuracy. - Masha Yu. Senashova; Alexander N. Gorban; Donald C. Wunsch II (ICNN, 1997)

Generation of explicit knowledge from empirical data through pruning of trainable neural networks. - Alexander N. Gorban; Evgeny M. Mirkes; Victor G. Tsaregorodtsev (IJCNN, 1999)

Application of the method of elastic maps in analysis of genetic texts. - Alexander N. Gorban; Andrei Yu. Zinovyev; Donald C. Wunsch (IJCNN, 2003)

Neural network modeling of data with gaps: method of principal curves Carleman's formula, and other - Alexander N. Gorban; A. A. Rossiev; Donald C. Wunsch II (CoRR, 2003)

Back-propagation of accuracy - Masha Yu. Senashova; Alexander N. Gorban; Donald C. Wunsch II (CoRR, 2003)

Seven clusters in genomic triplet distributions. - Alexander N. Gorban; Andrei Yu. Zinovyev; Tatyana G. Popova (Silico Biol., 2003)

Self-Organizing Approach for Automated Gene Identification. - Andrei Yu. Zinovyev; Alexander N. Gorban; Tatyana G. Popova (Open Syst. Inf. Dyn., 2003)

MultiNeuron - Neural Networks Simulator For Medical, Physiological, and Psychological Applications - Alexander N. Gorban; D. A. Rossiyev; M. G. Dorrer (CoRR, 2004)

Elastic Principal Graphs and Manifolds and their Practical Applications. - Alexander N. Gorban; Andrei Yu. Zinovyev (Computing, 2005)

Four basic symmetry types in the universal 7-cluster structure of microbial genomic sequences. - Alexander N. Gorban; Tatyana G. Popova; Andrei Yu. Zinovyev (Silico Biol., 2005)

Branching Principal Components: Elastic Graphs, Topological Grammars and Metro Maps. - Alexander N. Gorban; Neil R. Sumner; Andrei Yu. Zinovyev (IJCNN, 2007)

Topological grammars for data approximation. - Alexander N. Gorban; Neil R. Sumner; Andrei Yu. Zinovyev (Appl. Math. Lett., 2007)

Stable simulation of fluid flow with high-Reynolds number using Ehrenfests' steps. - R. A. Brownlee; Alexander N. Gorban; Jeremy Levesley (Numer. Algorithms, 2007)

Robust simplifications of multiscale biochemical networks. - Ovidiu Radulescu; Alexander N. Gorban; Andrei Yu. Zinovyev; Alain Lilienbaum (BMC Syst. Biol., 2008)

Principal Graphs and Manifolds - Alexander N. Gorban; Andrei Yu. Zinovyev (CoRR, 2008)

Dynamical modeling of microRNA action on the protein translation process. - Andrei Yu. Zinovyev; Nadya Morozova; Nora Nonne; Emmanuel Barillot; Annick Harel-Bellan; Alexander N. Gorban (BMC Syst. Biol., 2010)

Nonlinear Quality of Life Index - Andrei Yu. Zinovyev; Alexander N. Gorban (CoRR, 2010)

Entropy: The Markov Ordering Approach. - Alexander N. Gorban; Pavel A. Gorban; George Judge (Entropy, 2010)

Principal Manifolds and Graphs in Practice: from Molecular Biology to Dynamical Systems. - Alexander N. Gorban; Andrei Yu. Zinovyev (Int. J. Neural Syst., 2010)

The Michaelis-Menten-Stueckelberg Theorem. - Alexander N. Gorban; Muhammad Shahzad 004 (Entropy, 2011)

Explicit reduced-order integral formulations of state and parameter estimation problems for a class of nonlinear systems. - Ivan Tyukin; Alexander N. Gorban (CDC, 2013)

Geometrical Complexity of Data Approximators. - Evgeny M. Mirkes; Andrei Yu. Zinovyev; Alexander N. Gorban (IWANN (1), 2013)

Maxallent: Maximizers of all entropies and uncertainty of uncertainty. - Alexander N. Gorban (Comput. Math. Appl., 2013)

Grasping Complexity. - Alexander N. Gorban; G. S. Yablonsky (Comput. Math. Appl., 2013)

Thermodynamic Tree: The Space of Admissible Paths. - Alexander N. Gorban (SIAM J. Appl. Dyn. Syst., 2013)

Lyapunov-like Conditions of Forward Invariance and Boundedness for a Class of Unstable Systems. - Alexander N. Gorban; Ivan Tyukin; Erik Steur; Henk Nijmeijer (SIAM J. Control. Optim., 2013)

Further results on Lyapunov-like conditions of forward invariance and boundedness for a class of unstable systems. - Alexander N. Gorban; Ivan Yu. Tyukin; Henk Nijmeijer (CDC, 2014)

Scene analysis assisting for AWB using binary decision trees and average image metrics. - Konstantin I. Sofeikov; Ilya V. Romanenko; Ivan Yu. Tyukin; Alexander N. Gorban (ICCE, 2014)

Learning optimization for decision tree classification of non-categorical data with information gain impurity criterion. - Konstantin I. Sofeikov; Ivan Tyukin; Alexander N. Gorban; Eugenij Moiseevich Mirkes; Danil V. Prokhorov; Ilya V. Romanenko (IJCNN, 2014)

Computational diagnosis and risk evaluation for canine lymphoma. - Eugenij Moiseevich Mirkes; I. Alexandrakis; K. Slater; R. Tuli; Alexander N. Gorban (Comput. Biol. Medicine, 2014)

ViDaExpert: user-friendly tool for nonlinear visualization and analysis of multidimensional vectorial data. - Alexander N. Gorban; Alexander Pitenko; Andrei Yu. Zinovyev (CoRR, 2014)

General H-theorem and Entropies that Violate the Second Law. - Alexander N. Gorban (Entropy, 2014)

Fast and user-friendly non-linear principal manifold learning by method of elastic maps. - Alexander N. Gorban; Andrei Yu. Zinovyev (DSAA, 2015)

Im2Calories: Towards an Automated Mobile Vision Food Diary. - Austin Myers; Nick Johnston; Vivek Rathod; Anoop Korattikara; Alexander N. Gorban; Nathan Silberman; Sergio Guadarrama; George Papandreou; Jonathan Huang; Kevin Murphy 002 (ICCV, 2015)

Detecting Events and Key Actors in Multi-person Videos. - Vignesh Ramanathan; Jonathan Huang; Sami Abu-El-Haija; Alexander N. Gorban; Kevin Murphy 002; Li Fei-Fei 001 (CVPR, 2016)

Handling missing data in large healthcare dataset: A case study of unknown trauma outcomes. - Eugenij Moiseevich Mirkes; Timothy J. Coats; Jeremy Levesley; Alexander N. Gorban (Comput. Biol. Medicine, 2016)

Robust principal graphs for data approximation. - Alexander N. Gorban; Eugenij Moiseevich Mirkes; Andrei Yu. Zinovyev (CoRR, 2016)

Piece-wise quadratic lego set for constructing arbitrary error potentials and their fast optimization. - Alexander N. Gorban; Eugenij Moiseevich Mirkes; Andrei Yu. Zinovyev (CoRR, 2016)

The Blessing of Dimensionality: Separation Theorems in the Thermodynamic Limit. - Alexander N. Gorban; Ivan Yu. Tyukin; Ilya V. Romanenko (CoRR, 2016)

SOM: Stochastic initialization versus principal components. - Ayodeji A. Akinduko; Evgeny M. Mirkes; Alexander N. Gorban (Inf. Sci., 2016)

Approximation with random bases: Pro et Contra. - Alexander N. Gorban; Ivan Yu. Tyukin; Danil V. Prokhorov; Konstantin I. Sofeikov (Inf. Sci., 2016)

Piece-wise quadratic approximations of arbitrary error functions for fast and robust machine learning. - Alexander N. Gorban; Eugenij Moiseevich Mirkes; Andrei Yu. Zinovyev (Neural Networks, 2016)

Attention-Based Extraction of Structured Information from Street View Imagery. - Zbigniew Wojna; Alexander N. Gorban; Dar-Shyang Lee; Kevin Murphy 002; Qian Yu; Yeqing Li; Julian Ibarz (ICDAR, 2017)

Stochastic separation theorems. - Alexander N. Gorban; Ivan Yu. Tyukin (Neural Networks, 2017)

Large Scale Scene Text Verification with Guided Attention. - Dafang He; Yeqing Li; Alexander N. Gorban; Derrall Heath; Julian Ibarz; Qian Yu; Daniel Kifer; C. Lee Giles (ACCV (5), 2018)

Tackling Rare False-Positives in Face Recognition: A Case Study. - Sepehr Meshkinfamfard; Alexander N. Gorban; Ivan Tyukin (HPCC/SmartCity/DSS, 2018)

Data analysis with arbitrary error measures approximated by piece-wise quadratic PQSQ functions. - Alexander N. Gorban; Evgeny M. Mirkes; Andrei Yu. Zinovyev (IJCNN, 2018)

Efficiency of Shallow Cascades for Improving Deep Learning AI Systems. - Ivan Yu. Tyukin; Alexander N. Gorban; Danil V. Prokhorov; Stephen Green 001 (IJCNN, 2018)

Blessing of dimensionality: mathematical foundations of the statistical physics of data. - Alexander N. Gorban; Ivan Yu. Tyukin (CoRR, 2018)

Augmented Artificial Intelligence: a Conceptual Framework. - Alexander N. Gorban; Bogdan Grechuk; Ivan Yu. Tyukin (CoRR, 2018)

Robust and scalable learning of data manifolds with complex topologies via ElPiGraph. - Luca Albergante; Evgeny M. Mirkes; Huidong Chen; Alexis Martin; Louis Faure; Emmanuel Barillot; Luca Pinello; Alexander N. Gorban; Andrei Yu. Zinovyev (CoRR, 2018)

Guided Attention for Large Scale Scene Text Verification. - Dafang He; Yeqing Li; Alexander N. Gorban; Derrall Heath; Julian Ibarz; Qian Yu; Daniel Kifer; C. Lee Giles (CoRR, 2018)

How deep should be the depth of convolutional neural networks: a backyard dog case study. - Alexander N. Gorban; Evgeny M. Mirkes; I. Y. Tukin (CoRR, 2018)

Automatic Short Answer Grading and Feedback Using Text Mining Methods. - Neslihan Suzen; Alexander N. Gorban; Jeremy Levesley; Evgeny M. Mirkes (CoRR, 2018)

The unreasonable effectiveness of small neural ensembles in high-dimensional brain. - Alexander N. Gorban; Valeri A. Makarov; Ivan Yu. Tyukin (CoRR, 2018)

Knowledge Transfer Between Artificial Intelligence Systems. - Ivan Tyukin; Alexander N. Gorban; Konstantin I. Sofeykov; Ilya V. Romanenko (Frontiers Neurorobotics, 2018)

Correction of AI systems by linear discriminants: Probabilistic foundations. - Alexander N. Gorban; A. Golubkov; Bogdan Grechuk; Eugenij Moiseevich Mirkes; Ivan Tyukin (Inf. Sci., 2018)

Do Fractional Norms and Quasinorms Help to Overcome the Curse of Dimensionality? - Evgeny M. Mirkes; Jeza Allohibi; Alexander N. Gorban (IJCNN, 2019)

Kernel Stochastic Separation Theorems and Separability Characterizations of Kernel Classifiers. - Ivan Yu. Tyukin; Alexander N. Gorban; Bogdan Grechuk; Stephen Green 001 (IJCNN, 2019)

Using Convolutional Neural Networks to Distinguish Different Sign Language Alphanumerics. - Stephen Green 001; Ivan Tyukin; Alexander N. Gorban (INNSBDDL, 2019)

Universal Lyapunov functions for non-linear reaction networks. - Alexander N. Gorban (Commun. Nonlinear Sci. Numer. Simul., 2019)

Symphony of high-dimensional brain. - Alexander N. Gorban; Valeri A. Makarov; Ivan Yu. Tyukin (CoRR, 2019)

Blessing of dimensionality at the edge. - Ivan Yu. Tyukin; Alexander N. Gorban; Alistair A. McEwan; Sepehr Meshkinfamfard (CoRR, 2019)

LScDC-new large scientific dictionary. - Neslihan Suzen; Evgeny M. Mirkes; Alexander N. Gorban (CoRR, 2019)

One-trial correction of legacy AI systems and stochastic separation theorems. - Alexander N. Gorban; Richard Burton; Ilya V. Romanenko; Ivan Yu. Tyukin (Inf. Sci., 2019)

Fast construction of correcting ensembles for legacy Artificial Intelligence systems: Algorithms and a case study. - Ivan Yu. Tyukin; Alexander N. Gorban; Stephen Green 001; Danil V. Prokhorov (Inf. Sci., 2019)

On Adversarial Examples and Stealth Attacks in Artificial Intelligence Systems. - Ivan Yu. Tyukin; Desmond J. Higham; Alexander N. Gorban (IJCNN, 2020)

Adapting Style and Content for Attended Text Sequence Recognition. - Steven Schwarcz; Alexander N. Gorban; Xavier Gibert Serra; Dar-Shyang Lee (WACV, 2020)

How Deep Should be the Depth of Convolutional Neural Networks: a Backyard Dog Case Study. - Alexander N. Gorban; Evgeny M. Mirkes; Ivan Yu. Tyukin (Cogn. Comput., 2020)

Informational Space of Meaning for Scientific Texts. - Neslihan Suzen; Evgeny M. Mirkes; Alexander N. Gorban (CoRR, 2020)

Trajectories, bifurcations and pseudotime in large clinical datasets: applications to myocardial infarction and diabetes data. - Sergey E. Golovenkin; Jonathan Bac; Alexander Chervov; Evgeny M. Mirkes; Yuliya V. Orlova; Emmanuel Barillot; Alexander N. Gorban; Andrei Yu. Zinovyev (CoRR, 2020)

Principal Components of the Meaning. - Neslihan Suzen; Alexander N. Gorban; Jeremy Levesley; Evgeny M. Mirkes (CoRR, 2020)

Robust and Scalable Learning of Complex Intrinsic Dataset Geometry via ElPiGraph. - Luca Albergante; Evgeny M. Mirkes; Jonathan Bac; Huidong Chen; Alexis Martin; Louis Faure; Emmanuel Barillot; Luca Pinello; Alexander N. Gorban; Andrei Yu. Zinovyev (Entropy, 2020)

High-Dimensional Brain in a High-Dimensional World: Blessing of Dimensionality. - Alexander N. Gorban; Valery A. Makarov; Ivan Yu. Tyukin (Entropy, 2020)

Fractional Norms and Quasinorms Do Not Help to Overcome the Curse of Dimensionality. - Evgeny M. Mirkes; Jeza Allohibi; Alexander N. Gorban (Entropy, 2020)

Multivariate Gaussian and Student-t process regression for multi-output prediction. - Zexun Chen; Bo Wang; Alexander N. Gorban (Neural Comput. Appl., 2020)

Correction to: Multivariate Gaussian and Student-t process regression for multi-output prediction. - Zexun Chen; Bo Wang; Alexander N. Gorban (Neural Comput. Appl., 2020)

Modelling working memory in neuron-astrocyte network. - Yuliya Tsybina; Susanna Yu Gordleeva; Mikhail Krivonosov; Innokentiy Kastalskiy; Alexey Zaikin; Alexander N. Gorban (IJCNN, 2021)

Demystification of Few-shot and One-shot Learning. - Ivan Yu. Tyukin; Alexander N. Gorban; Muhammad H. Alkhudaydi; Qinghua Zhou (IJCNN, 2021)

Semantic Analysis for Automated Evaluation of the Potential Impact of Research Articles. - Neslihan Suzen; Alexander N. Gorban; Jeremy Levesley; Evgeny M. Mirkes (CoRR, 2021)

The Feasibility and Inevitability of Stealth Attacks. - Ivan Yu. Tyukin; Desmond J. Higham; Eliyas Woldegeorgis; Alexander N. Gorban (CoRR, 2021)

Astrocytes mediate analogous memory in a multi-layer neuron-astrocytic network. - Yuliya Tsybina; Innokentiy Kastalskiy; Mikhail Krivonosov; Alexey Zaikin; Victor B. Kazantsev; Alexander N. Gorban; Susanna Yu Gordleeva (CoRR, 2021)

Scikit-Dimension: A Python Package for Intrinsic Dimension Estimation. - Jonathan Bac; Evgeny M. Mirkes; Alexander N. Gorban; Ivan Tyukin; Andrei Yu. Zinovyev (Entropy, 2021)

High-Dimensional Separability for One- and Few-Shot Learning. - Alexander N. Gorban; Bogdan Grechuk; Evgeny M. Mirkes; Sergey V. Stasenko; Ivan Yu. Tyukin (Entropy, 2021)

Blessing of dimensionality at the edge and geometry of few-shot learning. - Ivan Yu. Tyukin; Alexander N. Gorban; Alistair A. McEwan; Sepehr Meshkinfamfard; Lixin Tang (Inf. Sci., 2021)

General stochastic separation theorems with optimal bounds. - Bogdan Grechuk; Alexander N. Gorban; Ivan Yu. Tyukin (Neural Networks, 2021)

CNN-Based Spectral Super-Resolution of Panchromatic Night-Time Light Imagery: City-Size-Associated Neighborhood Effects. - Natalya A. Rybnikova; Evgeny M. Mirkes; Alexander N. Gorban (Sensors, 2021)

HUM3DIL: Semi-supervised Multi-modal 3D HumanPose Estimation for Autonomous Driving. - Andrei Zanfir; Mihai Zanfir; Alexander N. Gorban; Jingwei Ji; Yin Zhou; Dragomir Anguelov; Cristian Sminchisescu (CoRL, 2022)

Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving. - Jingxiao Zheng; Xinwei Shi; Alexander N. Gorban; Junhua Mao; Yang Song; Charles R. Qi; Ting Liu; Visesh Chari; Andre Cornman; Yin Zhou; Congcong Li; Dragomir Anguelov (CVPR Workshops, 2022)

Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisation. - Qinghua Zhou; Alexander N. Gorban; Evgeny M. Mirkes; Jonathan Bac; Andrei Yu. Zinovyev; Ivan Yu. Tyukin (IJCNN, 2022)

Learning from few examples with nonlinear feature maps. - Ivan Yu. Tyukin; Oliver J. Sutton; Alexander N. Gorban (CoRR, 2022)

An Informational Space Based Semantic Analysis for Scientific Texts. - Neslihan Suzen; Alexander N. Gorban; Jeremy Levesley; Evgeny M. Mirkes (CoRR, 2022)

Towards a mathematical understanding of learning from few examples with nonlinear feature maps. - Oliver J. Sutton; Alexander N. Gorban; Ivan Yu. Tyukin (CoRR, 2022)

HUM3DIL: Semi-supervised Multi-modal 3D Human Pose Estimation for Autonomous Driving. - Andrei Zanfir; Mihai Zanfir; Alexander N. Gorban; Jingwei Ji; Yin Zhou; Dragomir Anguelov; Cristian Sminchisescu (CoRR, 2022)

Astrocytes mediate analogous memory in a multi-layer neuron-astrocyte network. - Yuliya Tsybina; Innokentiy Kastalskiy; Mikhail Krivonosov; Alexey Zaikin; Victor B. Kazantsev; Alexander N. Gorban; Susanna Yu Gordleeva (Neural Comput. Appl., 2022)

Coloring Panchromatic Nighttime Satellite Images: Comparing the Performance of Several Machine Learning Methods. - Natalya A. Rybnikova; Boris A. Portnov; Evgeny M. Mirkes; Andrei Yu. Zinovyev; Anna Brook; Alexander N. Gorban (IEEE Trans. Geosci. Remote. Sens., 2022)

Editorial: Toward and beyond human-level AI, volume II. - Witali L. Dunin-Barkowski; Alexander N. Gorban (Frontiers Neurorobotics, 2022)

What is Hiding in Medicine's Dark Matter? Learning with Missing Data in Medical Practices. - Neslihan Suzen; Evgeny M. Mirkes; Damian Roland; Jeremy Levesley; Alexander N. Gorban; Timothy J. Coats (IEEE Big Data, 2023)

A Geometric View on the Role of Nonlinear Feature Maps in Few-Shot Learning. - Oliver J. Sutton; Alexander N. Gorban; Ivan Yu. Tyukin (GSI (1), 2023)

The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning. - Alexander Bastounis; Alexander N. Gorban; Anders C. Hansen; Desmond J. Higham; Danil V. Prokhorov; Oliver J. Sutton; Ivan Yu. Tyukin; Qinghua Zhou (ICANN (1), 2023)

Relative Intrinsic Dimensionality Is Intrinsic to Learning. - Oliver J. Sutton; Qinghua Zhou; Alexander N. Gorban; Ivan Yu. Tyukin (ICANN (1), 2023)

Agile gesture recognition for capacitive sensing devices: adapting on-the-job. - Ying Liu; Liucheng Guo; Valeri A. Makarov; Yuxiang Huang; Alexander N. Gorban; Evgeny M. Mirkes; Ivan Yu. Tyukin (IJCNN, 2023)

Neuromorphic tuning of feature spaces to overcome the challenge of low-sample high-dimensional data. - Qinghua Zhou; Oliver J. Sutton; Yudong Zhang 001; Alexander N. Gorban; Valeri A. Makarov; Ivan Yu. Tyukin (IJCNN, 2023)

Domain Adaptation Principal Component Analysis: Base Linear Method for Learning with Out-of-Distribution Data. - Evgeny M. Mirkes; Jonathan Bac; Aziz Fouché; Sergey V. Stasenko; Andrei Yu. Zinovyev; Alexander N. Gorban (Entropy, 2023)

Weakly Supervised Learners for Correction of AI Errors with Provable Performance Guarantees. - Ivan Yu. Tyukin; Tatiana Tyukina; Daniel van Helden; Zedong Zheng; Evgeny M. Mirkes; Oliver J. Sutton; Qinghua Zhou; Alexander N. Gorban; Penelope M. Allison (IJCNN, 2024)

Stealth edits to large language models. - Oliver J. Sutton; Qinghua Zhou; Wei Wang 357; Desmond J. Higham; Alexander N. Gorban; Alexander Bastounis; Ivan Tyukin (NeurIPS, 2024)

Exploring the impact of social stress on the adaptive dynamics of COVID-19: Typing the behavior of naïve populations faced with epidemics. - Innokentiy Kastalskiy; Andrei Yu. Zinovyev; Evgeny M. Mirkes; Victor B. Kazantsev; Alexander N. Gorban (Commun. Nonlinear Sci. Numer. Simul., 2024)

Weakly Supervised Learners for Correction of AI Errors with Provable Performance Guarantees. - 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 (CoRR, 2024)

Stealth edits for provably fixing or attacking large language models. - Oliver J. Sutton; Qinghua Zhou; Wei Wang 357; Desmond J. Higham; Alexander N. Gorban; Alexander Bastounis; Ivan Yu. Tyukin (CoRR, 2024)

Coping with AI errors with provable guarantees. - 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 (Inf. Sci., 2024)

How adversarial attacks can disrupt seemingly stable accurate classifiers. - Oliver J. Sutton; Qinghua Zhou; Ivan Yu. Tyukin; Alexander N. Gorban; Alexander Bastounis; Desmond J. Higham (Neural Networks, 2024)

Minimal cover of high-dimensional chaotic attractors by embedded recurrent patterns. - Daniel L. Crane; Ruslan L. Davidchack; Alexander N. Gorban (Commun. Nonlinear Sci. Numer. Simul., 2025)

Situation-Based Neuromorphic Memory in Spiking Neuron-Astrocyte Network. - Susanna Yu Gordleeva; Yuliya Tsybina; Mikhail Krivonosov; Ivan Yu. Tyukin; Victor B. Kazantsev; Alexey Zaikin; Alexander N. Gorban (IEEE Trans. Neural Networks Learn. Syst., 2025)

When fractional quasi p-norms concentrate. - Ivan Yu. Tyukin; Bogdan Grechuk; Evgeny M. Mirkes; Alexander N. Gorban (CoRR, 2025)

Staining and locking computer vision models without retraining. - Oliver J. Sutton; Qinghua Zhou; George Leete; Alexander N. Gorban; Ivan Yu. Tyukin (CoRR, 2025)