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ORCIDAlexander N. Gorban
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- affiliation: University of Leicester, Department of Mathematics, UK
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2020 – today
- 2024
[j44]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: 107906 (2024)- [j43]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) - [i60]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) - [i59]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) - [i58]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 abs/2406.12670 (2024) - 2023
- [j42]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) - [c31]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 - [c30]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: 560-568 - [c29]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 - [c28]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: 1-8 - [i57]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) - [i56]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 abs/2309.03665 (2023) - [i55]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 abs/2309.07072 (2023) - [i54]Oliver J. Sutton, Qinghua Zhou, Alexander N. Gorban, Ivan Yu. Tyukin:
Relative intrinsic dimensionality is intrinsic to learning. CoRR abs/2311.07579 (2023) - [i53]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
- [j41]Witali L. Dunin-Barkowski, Alexander N. Gorban:
Editorial: Toward and beyond human-level AI, volume II. Frontiers Neurorobotics 16 (2022) - [j40]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): 9147-9160 (2022) - [j39]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) - [c27]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: 1114-1124 - [c26]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: 4477-4486 - [c25]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 - [i52]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) - [i51]Ivan Yu. Tyukin, Oliver J. Sutton, Alexander N. Gorban:
Learning from few examples with nonlinear feature maps. CoRR abs/2203.16935 (2022) - [i50]Neslihan Suzen, Alexander N. Gorban, Jeremy Levesley, Evgeny M. Mirkes:
An Informational Space Based Semantic Analysis for Scientific Texts. CoRR abs/2205.15696 (2022) - [i49]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) - [i48]Oliver J. Sutton, Alexander N. Gorban, Ivan Yu. Tyukin:
Towards a mathematical understanding of learning from few examples with nonlinear feature maps. CoRR abs/2211.03607 (2022) - [i47]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 abs/2212.07729 (2022) - 2021
- [j38]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) - [j37]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) - [j36]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: 124-143 (2021) - [j35]Bogdan Grechuk, Alexander N. Gorban, Ivan Yu. Tyukin:
General stochastic separation theorems with optimal bounds. Neural Networks 138: 33-56 (2021) - [j34]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) - [c24]Yuliya Tsybina, Susanna Yu Gordleeva, Mikhail Krivonosov, Innokentiy Kastalskiy, Alexey Zaikin, Alexander N. Gorban:
Modelling working memory in neuron-astrocyte network. IJCNN 2021: 1-6 - [c23]Ivan Yu. Tyukin, Alexander N. Gorban, Muhammad H. Alkhudaydi, Qinghua Zhou:
Demystification of Few-shot and One-shot Learning. IJCNN 2021: 1-7 - [i46]Ivan Yu. Tyukin, Alexander N. Gorban, Muhammad H. Alkhudaydi, Qinghua Zhou:
Demystification of Few-shot and One-shot Learning. CoRR abs/2104.12174 (2021) - [i45]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) - [i44]Ivan Yu. Tyukin, Desmond J. Higham, Eliyas Woldegeorgis, Alexander N. Gorban:
The Feasibility and Inevitability of Stealth Attacks. CoRR abs/2106.13997 (2021) - [i43]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) - [i42]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-astrocytic network. CoRR abs/2108.13414 (2021) - [i41]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) - [i40]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. CoRR abs/2112.12141 (2021) - 2020
- [j33]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) - [j32]Alexander N. Gorban, Valery A. Makarov, Ivan Yu. Tyukin:
High-Dimensional Brain in a High-Dimensional World: Blessing of Dimensionality. Entropy 22(1): 82 (2020) - [j31]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) - [j30]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) - [j29]Zexun Chen, Bo Wang, Alexander N. Gorban:
Multivariate Gaussian and Student-t process regression for multi-output prediction. Neural Comput. Appl. 32(8): 3005-3028 (2020) - [j28]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): 11963 (2020) - [c22]Ivan Yu. Tyukin, Desmond J. Higham, Alexander N. Gorban:
On Adversarial Examples and Stealth Attacks in Artificial Intelligence Systems. IJCNN 2020: 1-6 - [c21]Steven Schwarcz, Alexander N. Gorban, Xavier Gibert Serra, Dar-Shyang Lee:
Adapting Style and Content for Attended Text Sequence Recognition. WACV 2020: 1586-1595 - [i39]Alexander N. Gorban, Valery A. Makarov, Ivan Yu. Tyukin:
High-Dimensional Brain in a High-Dimensional World: Blessing of Dimensionality. CoRR abs/2001.04959 (2020) - [i38]Ivan Yu. Tyukin, Desmond J. Higham, Alexander N. Gorban:
On Adversarial Examples and Stealth Attacks in Artificial Intelligence Systems. CoRR abs/2004.04479 (2020) - [i37]Neslihan Suzen, Evgeny M. Mirkes, Alexander N. Gorban:
Informational Space of Meaning for Scientific Texts. CoRR abs/2004.13717 (2020) - [i36]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) - [i35]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) - [i34]Neslihan Suzen, Alexander N. Gorban, Jeremy Levesley, Evgeny M. Mirkes:
Principal Components of the Meaning. CoRR abs/2009.08859 (2020) - [i33]Bogdan Grechuk, Alexander N. Gorban, Ivan Yu. Tyukin:
General stochastic separation theorems with optimal bounds. CoRR abs/2010.05241 (2020)
2010 – 2019
- 2019
- [j27]Alexander N. Gorban:
Universal Lyapunov functions for non-linear reaction networks. Commun. Nonlinear Sci. Numer. Simul. 79: 104910 (2019) - [j26]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: 237-254 (2019) - [j25]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: 230-247 (2019) - [c20]Evgeny M. Mirkes, Jeza Allohibi, Alexander N. Gorban:
Do Fractional Norms and Quasinorms Help to Overcome the Curse of Dimensionality? IJCNN 2019: 1-8 - [c19]Ivan Yu. Tyukin, Alexander N. Gorban, Bogdan Grechuk, Stephen Green:
Kernel Stochastic Separation Theorems and Separability Characterizations of Kernel Classifiers. IJCNN 2019: 1-6 - [c18]Stephen Green, Ivan Tyukin, Alexander N. Gorban:
Using Convolutional Neural Networks to Distinguish Different Sign Language Alphanumerics. INNSBDDL 2019: 276-285 - [i32]Alexander N. Gorban, Valeri A. Makarov, Ivan Yu. Tyukin:
Symphony of high-dimensional brain. CoRR abs/1906.12222 (2019) - [i31]Ivan Yu. Tyukin, Alexander N. Gorban, Alistair A. McEwan, Sepehr Meshkinfamfard:
Blessing of dimensionality at the edge. CoRR abs/1910.00445 (2019) - [i30]Neslihan Suzen, Evgeny M. Mirkes, Alexander N. Gorban:
LScDC-new large scientific dictionary. CoRR abs/1912.06858 (2019) - 2018
- [j24]Ivan Tyukin, Alexander N. Gorban, Konstantin I. Sofeykov, Ilya V. Romanenko:
Knowledge Transfer Between Artificial Intelligence Systems. Frontiers Neurorobotics 12: 49 (2018) - [j23]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) - [c17]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: 260-275 - [c16]Sepehr Meshkinfamfard, Alexander N. Gorban, Ivan Tyukin:
Tackling Rare False-Positives in Face Recognition: A Case Study. HPCC/SmartCity/DSS 2018: 1592-1598 - [c15]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 - [c14]Ivan Yu. Tyukin, Alexander N. Gorban, Danil V. Prokhorov, Stephen Green:
Efficiency of Shallow Cascades for Improving Deep Learning AI Systems. IJCNN 2018: 1-8 - [i29]Alexander N. Gorban, Ivan Yu. Tyukin:
Blessing of dimensionality: mathematical foundations of the statistical physics of data. CoRR abs/1801.03421 (2018) - [i28]Alexander N. Gorban, Bogdan Grechuk, Ivan Yu. Tyukin:
Augmented Artificial Intelligence: a Conceptual Framework. CoRR abs/1802.02172 (2018) - [i27]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) - [i26]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 abs/1804.08588 (2018) - [i25]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) - [i24]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) - [i23]Alexander N. Gorban, Valeri A. Makarov, Ivan Yu. Tyukin:
The unreasonable effectiveness of small neural ensembles in high-dimensional brain. CoRR abs/1809.07656 (2018) - [i22]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 abs/1810.05593 (2018) - [i21]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) - 2017
- [j22]Alexander N. Gorban, Ivan Yu. Tyukin:
Stochastic separation theorems. Neural Networks 94: 255-259 (2017) - [c13]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: 844-850 - [i20]Alexander N. Gorban, Ivan Yu. Tyukin:
Stochastic Separation Theorems. CoRR abs/1703.01203 (2017) - [i19]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 abs/1704.03549 (2017) - [i18]Ivan Yu. Tyukin, Alexander N. Gorban, Konstantin I. Sofeikov, Ilya V. Romanenko:
Knowledge Transfer Between Artificial Intelligence Systems. CoRR abs/1709.01547 (2017) - 2016
- [j21]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) - [j20]Alexander N. Gorban, Ivan Yu. Tyukin, Danil V. Prokhorov, Konstantin I. Sofeikov:
Approximation with random bases: Pro et Contra. Inf. Sci. 364-365: 129-145 (2016) - [j19]Ayodeji A. Akinduko, Evgeny M. Mirkes, Alexander N. Gorban:
SOM: Stochastic initialization versus principal components. Inf. Sci. 364-365: 213-221 (2016) - [j18]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) - [c12]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: 3043-3053 - [i17]Alexander N. Gorban, Eugenij Moiseevich Mirkes, Andrei Yu. Zinovyev:
Robust principal graphs for data approximation. CoRR abs/1603.06828 (2016) - [i16]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) - [i15]Alexander N. Gorban, Ivan Yu. Tyukin, Ilya V. Romanenko:
The Blessing of Dimensionality: Separation Theorems in the Thermodynamic Limit. CoRR abs/1610.00494 (2016) - 2015
- [c11]Alexander N. Gorban, Andrei Yu. Zinovyev:
Fast and user-friendly non-linear principal manifold learning by method of elastic maps. DSAA 2015: 1-9 - [c10]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: 1233-1241 - [i14]Alexander N. Gorban, Ivan Yu. Tyukin, Danil V. Prokhorov, Konstantin I. Sofeikov:
Approximation with Random Bases: Pro et Contra. CoRR abs/1506.04631 (2015) - [i13]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 abs/1511.02917 (2015) - 2014
- [j17]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) - [j16]Alexander N. Gorban:
General H-theorem and Entropies that Violate the Second Law. Entropy 16(5): 2408-2432 (2014) - [c9]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: 1557-1562 - [c8]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: 480-483 - [c7]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 - [i12]Alexander N. Gorban, Alexander Pitenko, Andrei Yu. Zinovyev:
ViDaExpert: user-friendly tool for nonlinear visualization and analysis of multidimensional vectorial data. CoRR abs/1406.5550 (2014) - 2013
- [j15]Alexander N. Gorban, G. S. Yablonsky:
Grasping Complexity. Comput. Math. Appl. 65(10): 1421-1426 (2013) - [j14]Alexander N. Gorban:
Maxallent: Maximizers of all entropies and uncertainty of uncertainty. Comput. Math. Appl. 65(10): 1438-1456 (2013) - [j13]Alexander N. Gorban:
Thermodynamic Tree: The Space of Admissible Paths. SIAM J. Appl. Dyn. Syst. 12(1): 246-278 (2013) - [j12]Alexander N. Gorban, Ivan Tyukin, Erik Steur, Henk Nijmeijer:
Lyapunov-like Conditions of Forward Invariance and Boundedness for a Class of Unstable Systems. SIAM J. Control. Optim. 51(3): 2306-2334 (2013) - [c6]Ivan Tyukin, Alexander N. Gorban:
Explicit reduced-order integral formulations of state and parameter estimation problems for a class of nonlinear systems. CDC 2013: 4284-4289 - [c5]Evgeny M. Mirkes, Andrei Yu. Zinovyev, Alexander N. Gorban:
Geometrical Complexity of Data Approximators. IWANN (1) 2013: 500-509 - [i11]Eugenij Moiseevich Mirkes, Andrei Yu. Zinovyev, Alexander N. Gorban:
Geometrical complexity of data approximators. CoRR abs/1302.2645 (2013) - [i10]Alexander N. Gorban, G. S. Yablonsky:
Grasping Complexity. CoRR abs/1303.3855 (2013) - 2011
- [j11]Alexander N. Gorban, Muhammad Shahzad:
The Michaelis-Menten-Stueckelberg Theorem. Entropy 13(5): 966-1019 (2011) - 2010
- [j10]Andrei Yu. Zinovyev, Nadya Morozova, Nora Nonne, Emmanuel Barillot, Annick Harel-Bellan, Alexander N. Gorban:
Dynamical modeling of microRNA action on the protein translation process. BMC Syst. Biol. 4: 13 (2010) - [j9]Alexander N. Gorban, Pavel A. Gorban, George Judge:
Entropy: The Markov Ordering Approach. Entropy 12(5): 1145-1193 (2010) - [j8]