Alexander N. Gorban

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 90

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)
Oliver J. Sutton, Qinghua Zhou, Wei Wang, Desmond J. Higham, Alexander N. Gorban, Alexander Bastounis, Ivan Yu. Tyukin
Stealth edits for provably fixing or attacking large language models. 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)
Oliver J. Sutton, Alexander N. Gorban, Ivan Yu. Tyukin
A Geometric View on the Role of Nonlinear Feature Maps in Few-Shot Learning. GSI (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)
Qinghua Zhou, Oliver J. Sutton, Yudong Zhang, Alexander N. Gorban, Valeri A. Makarov, Ivan Yu. Tyukin
Neuromorphic tuning of feature spaces to overcome the challenge of low-sample high-dimensional data. IJCNN (2023)
Oliver J. Sutton, Qinghua Zhou, Alexander N. Gorban, Ivan Yu. Tyukin
Relative intrinsic dimensionality is intrinsic to learning. CoRR (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)
Alexander Bastounis, Alexander N. Gorban, Anders C. Hansen, Desmond J. Higham, Danil V. Prokhorov, Oliver J. Sutton, Ivan Yu. Tyukin, Qinghua Zhou
The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning. CoRR (2023)
Oliver J. Sutton, Qinghua Zhou, Ivan Yu. Tyukin, Alexander N. Gorban, Alexander Bastounis, Desmond J. Higham
How adversarial attacks can disrupt seemingly stable accurate classifiers. 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)
Ivan Y. Tyukin, Oliver J. Sutton, Alexander N. Gorban
Learning from few examples with nonlinear feature maps. CoRR (2022)
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
Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving. CVPR Workshops (2022)
Yuliya Tsybina, Innokentiy Kastalskiy, Mikhail Krivonosov, Alexey Zaikin, Victor B. Kazantsev, Alexander N. Gorban, Susanna Yu Gordleeva
Astrocytes mediate analogous memory in a multi-layer neuron-astrocyte network. Neural Comput. Appl. 34 (11) (2022)
Andrei Zanfir, Mihai Zanfir, Alexander N. Gorban, Jingwei Ji, Yin Zhou, Dragomir Anguelov, Cristian Sminchisescu
HUM3DIL: Semi-supervised Multi-modal 3D HumanPose Estimation for Autonomous Driving. CoRL (2022)
Oliver J. Sutton, Alexander N. Gorban, Ivan Y. Tyukin
Towards a mathematical understanding of learning from few examples with nonlinear feature maps. CoRR (2022)
Andrei Zanfir, Mihai Zanfir, Alexander N. Gorban, Jingwei Ji, Yin Zhou, Dragomir Anguelov, Cristian Sminchisescu
HUM3DIL: Semi-supervised Multi-modal 3D Human Pose Estimation for Autonomous Driving. CoRR (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)
Witali L. Dunin-Barkowski, Alexander N. Gorban
Editorial: Toward and beyond human-level AI, volume II. Frontiers Neurorobotics 16 (2022)
Neslihan Suzen, Alexander N. Gorban, Jeremy Levesley, Evgeny M. Mirkes
An Informational Space Based Semantic Analysis for Scientific Texts. CoRR (2022)
Ivan Yu. Tyukin, Alexander N. Gorban, Muhammad H. Alkhudaydi, Qinghua Zhou
Demystification of Few-shot and One-shot Learning. CoRR (2021)
Neslihan Suzen, Alexander N. Gorban, Jeremy Levesley, Evgeny M. Mirkes
Semantic Analysis for Automated Evaluation of the Potential Impact of Research Articles. 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)
Ivan Yu. Tyukin, Alexander N. Gorban, Muhammad H. Alkhudaydi, Qinghua Zhou
Demystification of Few-shot and One-shot Learning. IJCNN (2021)
Ivan Yu. Tyukin, Alexander N. Gorban, Alistair A. McEwan, Sepehr Meshkinfamfard, Lixin Tang
Blessing of dimensionality at the edge and geometry of few-shot learning. Inf. Sci. 564 (2021)
Ivan Yu. Tyukin, Desmond J. Higham, Eliyas Woldegeorgis, Alexander N. Gorban
The Feasibility and Inevitability of Stealth Attacks. CoRR (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)
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)
Bogdan Grechuk, Alexander N. Gorban, Ivan Yu. Tyukin
General stochastic separation theorems with optimal bounds. Neural Networks 138 (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)
Zexun Chen, Bo Wang, Alexander N. Gorban
Multivariate Gaussian and Student-t process regression for multi-output prediction. Neural Comput. Appl. 32 (8) (2020)
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)
Steven Schwarcz, Alexander N. Gorban, Xavier Gibert Serra, Dar-Shyang Lee
Adapting Style and Content for Attended Text Sequence Recognition. WACV (2020)
Ivan Yu. Tyukin, Desmond J. Higham, Alexander N. Gorban
On Adversarial Examples and Stealth Attacks in Artificial Intelligence Systems. IJCNN (2020)
Alexander N. Gorban, Valery A. Makarov, Ivan Yu. Tyukin
High-Dimensional Brain in a High-Dimensional World: Blessing of Dimensionality. 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)
Ivan Yu. Tyukin, Desmond J. Higham, Alexander N. Gorban
On Adversarial Examples and Stealth Attacks in Artificial Intelligence Systems. CoRR (2020)
Alexander N. Gorban, Valery A. Makarov, Ivan Yu. Tyukin
High-Dimensional Brain in a High-Dimensional World: Blessing of Dimensionality. Entropy 22 (1) (2020)
Bogdan Grechuk, Alexander N. Gorban, Ivan Yu. Tyukin
General stochastic separation theorems with optimal bounds. CoRR (2020)
Neslihan Suzen, Evgeny M. Mirkes, Alexander N. Gorban
Informational Space of Meaning for Scientific Texts. CoRR (2020)
Zexun Chen, Bo Wang, Alexander N. Gorban
Correction to: Multivariate Gaussian and Student-t process regression for multi-output prediction. Neural Comput. Appl. 32 (15) (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)
Alexander N. Gorban, Richard Burton, Ilya V. Romanenko, Ivan Yu. Tyukin
One-trial correction of legacy AI systems and stochastic separation theorems. Inf. Sci. 484 (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)
Ivan Yu. Tyukin, Alexander N. Gorban, Stephen Green, Danil V. Prokhorov
Fast construction of correcting ensembles for legacy Artificial Intelligence systems: Algorithms and a case study. Inf. Sci. 485 (2019)
Alexander N. Gorban, Valeri A. Makarov, Ivan Yu. Tyukin
Symphony of high-dimensional brain. CoRR (2019)
Stephen Green, Ivan Tyukin, Alexander N. Gorban
Using Convolutional Neural Networks to Distinguish Different Sign Language Alphanumerics. INNSBDDL (2019)
Ivan Yu. Tyukin, Alexander N. Gorban, Alistair A. McEwan, Sepehr Meshkinfamfard
Blessing of dimensionality at the edge. CoRR (2019)
Ivan Yu. Tyukin, Alexander N. Gorban, Bogdan Grechuk, Stephen Green
Kernel Stochastic Separation Theorems and Separability Characterizations of Kernel Classifiers. IJCNN (2019)
Alexander N. Gorban
Universal Lyapunov functions for non-linear reaction networks. Commun. Nonlinear Sci. Numer. Simul. 79 (2019)
Ivan Tyukin, Alexander N. Gorban, Konstantin I. Sofeykov, Ilya V. Romanenko
Knowledge Transfer Between Artificial Intelligence Systems. Frontiers Neurorobotics 12 (2018)
Alexander N. Gorban, A. Golubkov, Bogdan Grechuk, Eugenij Moiseevich Mirkes, Ivan Tyukin
Correction of AI systems by linear discriminants: Probabilistic foundations. Inf. Sci. 466 (2018)
Ivan Yu. Tyukin, Alexander N. Gorban, Danil V. Prokhorov, Stephen Green
Efficiency of Shallow Cascades for Improving Deep Learning AI Systems. IJCNN (2018)
Dafang He, Yeqing Li, Alexander N. Gorban, Derrall Heath, Julian Ibarz, Qian Yu, Daniel Kifer, C. Lee Giles
Large Scale Scene Text Verification with Guided Attention. ACCV (5) (2018)
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, Ivan Yu. Tyukin
Blessing of dimensionality: mathematical foundations of the statistical physics of data. 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, Valeri A. Makarov, Ivan Yu. Tyukin
The unreasonable effectiveness of small neural ensembles in high-dimensional brain. CoRR (2018)
Dafang He, Yeqing Li, Alexander N. Gorban, Derrall Heath, Julian Ibarz, Qian Yu, Daniel Kifer, C. Lee Giles
Guided Attention for Large Scale Scene Text Verification. CoRR (2018)
Alexander N. Gorban, Bogdan Grechuk, Ivan Yu. Tyukin
Augmented Artificial Intelligence: a Conceptual Framework. CoRR (2018)
Ivan Yu. Tyukin, Alexander N. Gorban, Stephen Green, Danil V. Prokhorov
Fast Construction of Correcting Ensembles for Legacy Artificial Intelligence Systems: Algorithms and a Case Study. CoRR (2018)
Sepehr Meshkinfamfard, Alexander N. Gorban, Ivan Tyukin
Tackling Rare False-Positives in Face Recognition: A Case Study. HPCC/SmartCity/DSS (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)
Zbigniew Wojna, Alexander N. Gorban, Dar-Shyang Lee, Kevin Murphy, Qian Yu, Yeqing Li, Julian Ibarz
Attention-based Extraction of Structured Information from Street View Imagery. CoRR (2017)
Zbigniew Wojna, Alexander N. Gorban, Dar-Shyang Lee, Kevin Murphy, Qian Yu, Yeqing Li, Julian Ibarz
Attention-Based Extraction of Structured Information from Street View Imagery. ICDAR (2017)
Alexander N. Gorban, Ivan Yu. Tyukin
Stochastic separation theorems. Neural Networks 94 (2017)
Alexander N. Gorban, Ivan Yu. Tyukin
Stochastic Separation Theorems. CoRR (2017)
Ivan Yu. Tyukin, Alexander N. Gorban, Konstantin I. Sofeikov, Ilya V. Romanenko
Knowledge Transfer Between Artificial Intelligence Systems. CoRR (2017)
Alexander N. Gorban, Eugenij Moiseevich Mirkes, Andrei Yu. Zinovyev
Piece-wise quadratic lego set for constructing arbitrary error potentials and their fast optimization. CoRR (2016)
Alexander N. Gorban, Eugenij Moiseevich Mirkes, Andrei Yu. Zinovyev
Robust principal graphs for data approximation. CoRR (2016)
Eugenij Moiseevich Mirkes, T. 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 (2016)
Alexander N. Gorban, Ivan Yu. Tyukin, Danil V. Prokhorov, Konstantin I. Sofeikov
Approximation with random bases: Pro et Contra. Inf. Sci. (2016)
Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander N. Gorban, Kevin Murphy, Li Fei-Fei
Detecting Events and Key Actors in Multi-person Videos. CVPR (2016)
Ayodeji A. Akinduko, Evgeny M. Mirkes, Alexander N. Gorban
SOM: Stochastic initialization versus principal components. Inf. Sci. (2016)
Alexander N. Gorban, Ivan Yu. Tyukin, Ilya V. Romanenko
The Blessing of Dimensionality: Separation Theorems in the Thermodynamic Limit. CoRR (2016)
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 (2016)
Alexander N. Gorban, Ivan Yu. Tyukin, Danil V. Prokhorov, Konstantin I. Sofeikov
Approximation with Random Bases: Pro et Contra. CoRR (2015)
Austin Myers, Nick Johnston, Vivek Rathod, Anoop Korattikara, Alexander N. Gorban, Nathan Silberman, Sergio Guadarrama, George Papandreou, Jonathan Huang, Kevin Murphy
Im2Calories: Towards an Automated Mobile Vision Food Diary. ICCV (2015)
Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander N. Gorban, Kevin Murphy, Li Fei-Fei
Detecting events and key actors in multi-person videos. CoRR (2015)
Alexander N. Gorban, Andrei Yu. Zinovyev
Fast and user-friendly non-linear principal manifold learning by method of elastic maps. DSAA (2015)
Eugenij Moiseevich Mirkes, I. Alexandrakis, K. Slater, R. Tuli, Alexander N. Gorban
Computational diagnosis and risk evaluation for canine lymphoma. Comput. Biol. Medicine 53 (2014)
Konstantin I. Sofeikov, Ilya V. Romanenko, Ivan Yu. Tyukin, Alexander N. Gorban
Scene analysis assisting for AWB using binary decision trees and average image metrics. ICCE (2014)
Alexander N. Gorban, Alexander Pitenko, Andrei Yu. Zinovyev
ViDaExpert: user-friendly tool for nonlinear visualization and analysis of multidimensional vectorial data. CoRR (2014)
Alexander N. Gorban
General H-theorem and Entropies that Violate the Second Law. Entropy 16 (5) (2014)
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)
Alexander N. Gorban, Ivan Yu. Tyukin, Henk Nijmeijer
Further results on Lyapunov-like conditions of forward invariance and boundedness for a class of unstable systems. CDC (2014)

Alexander N. Gorban.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Alexander N. Gorban