Alexander N. Gorban

145 papers A* 3A 2B 17C 1Misc 1Journal 109Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Minimal cover of high-dimensional chaotic attractors by embedded recurrent patterns. Commun. Nonlinear Sci. Numer. Simul. Daniel L. Crane, Ruslan L. Davidchack, Alexander N. Gorban
2025	J	`jnl`	Situation-Based Neuromorphic Memory in Spiking Neuron-Astrocyte Network. IEEE Trans. Neural Networks Learn. Syst. Susanna Yu Gordleeva, Yuliya Tsybina, Mikhail Krivonosov, Ivan Yu. Tyukin, Victor B. Kazantsev, Alexey Zaikin, Alexander N. Gorban
2025	J	`jnl`	Staining and locking computer vision models without retraining. CoRR Oliver J. Sutton, Qinghua Zhou, George Leete, Alexander N. Gorban, Ivan Yu. Tyukin
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	J	`jnl`	How adversarial attacks can disrupt seemingly stable accurate classifiers. Neural Networks Oliver J. Sutton, Qinghua Zhou, Ivan Yu. Tyukin, Alexander N. Gorban, Alexander Bastounis, Desmond J. Higham
2024	J	`jnl`	Stealth edits for provably fixing or attacking large language models. CoRR Oliver J. Sutton, Qinghua Zhou, Wei Wang, Desmond J. Higham, Alexander N. Gorban, Alexander Bastounis, Ivan Yu. Tyukin
2024	A*	`conf`	Stealth edits to large language models. NeurIPS Oliver J. Sutton, Qinghua Zhou, Wei Wang, Desmond J. Higham, Alexander N. Gorban, Alexander Bastounis, Ivan Tyukin
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	—	`conf`	A Geometric View on the Role of Nonlinear Feature Maps in Few-Shot Learning. GSI (1) Oliver J. Sutton, Alexander N. Gorban, Ivan Yu. Tyukin
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	J	`jnl`	How adversarial attacks can disrupt seemingly stable accurate classifiers. CoRR Oliver J. Sutton, Qinghua Zhou, Ivan Yu. Tyukin, Alexander N. Gorban, Alexander Bastounis, Desmond J. Higham
2023	B	`conf`	Neuromorphic tuning of feature spaces to overcome the challenge of low-sample high-dimensional data. IJCNN Qinghua Zhou, Oliver J. Sutton, Yudong Zhang, Alexander N. Gorban, Valeri A. Makarov, Ivan Yu. Tyukin
2023	—	`conf`	Relative Intrinsic Dimensionality Is Intrinsic to Learning. ICANN (1) Oliver J. Sutton, Qinghua Zhou, Alexander N. Gorban, Ivan Yu. Tyukin
2023	J	`jnl`	Relative intrinsic dimensionality is intrinsic to learning. CoRR Oliver J. Sutton, Qinghua Zhou, Alexander N. Gorban, Ivan Yu. Tyukin
2023	—	`conf`	The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning. ICANN (1) Alexander Bastounis, Alexander N. Gorban, Anders C. Hansen, Desmond J. Higham, Danil V. Prokhorov, Oliver J. Sutton, Ivan Yu. Tyukin, Qinghua Zhou
2023	J	`jnl`	The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning. CoRR Alexander Bastounis, Alexander N. Gorban, Anders C. Hansen, Desmond J. Higham, Danil V. Prokhorov, Oliver J. Sutton, Ivan Yu. Tyukin, Qinghua Zhou
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`	Astrocytes mediate analogous memory in a multi-layer neuron-astrocyte network. Neural Comput. Appl. Yuliya Tsybina, Innokentiy Kastalskiy, Mikhail Krivonosov, Alexey Zaikin, Victor B. Kazantsev, Alexander N. Gorban, Susanna Yu Gordleeva
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	J	`jnl`	Editorial: Toward and beyond human-level AI, volume II. Frontiers Neurorobotics Witali L. Dunin-Barkowski, Alexander N. Gorban
2022	J	`jnl`	HUM3DIL: Semi-supervised Multi-modal 3D Human Pose Estimation for Autonomous Driving. CoRR Andrei Zanfir, Mihai Zanfir, Alexander N. Gorban, Jingwei Ji, Yin Zhou, Dragomir Anguelov, Cristian Sminchisescu
2022	Misc	`conf`	HUM3DIL: Semi-supervised Multi-modal 3D HumanPose Estimation for Autonomous Driving. CoRL Andrei Zanfir, Mihai Zanfir, Alexander N. Gorban, Jingwei Ji, Yin Zhou, Dragomir Anguelov, Cristian Sminchisescu
2022	J	`jnl`	Learning from few examples with nonlinear feature maps. CoRR Ivan Yu. Tyukin, Oliver J. Sutton, Alexander N. Gorban
2022	—	`conf`	Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving. CVPR Workshops 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
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
2022	J	`jnl`	Towards a mathematical understanding of learning from few examples with nonlinear feature maps. CoRR Oliver J. Sutton, Alexander N. Gorban, Ivan Yu. Tyukin
2021	J	`jnl`	Astrocytes mediate analogous memory in a multi-layer neuron-astrocytic network. CoRR Yuliya Tsybina, Innokentiy Kastalskiy, Mikhail Krivonosov, Alexey Zaikin, Victor B. Kazantsev, Alexander N. Gorban, Susanna Yu Gordleeva
2021	J	`jnl`	Blessing of dimensionality at the edge and geometry of few-shot learning. Inf. Sci. Ivan Yu. Tyukin, Alexander N. Gorban, Alistair A. McEwan, Sepehr Meshkinfamfard, Lixin Tang
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	B	`conf`	Demystification of Few-shot and One-shot Learning. IJCNN Ivan Yu. Tyukin, Alexander N. Gorban, Muhammad H. Alkhudaydi, Qinghua Zhou
2021	J	`jnl`	Demystification of Few-shot and One-shot Learning. CoRR Ivan Yu. Tyukin, Alexander N. Gorban, Muhammad H. Alkhudaydi, Qinghua Zhou
2021	J	`jnl`	General stochastic separation theorems with optimal bounds. Neural Networks Bogdan Grechuk, Alexander N. Gorban, Ivan Yu. Tyukin
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	B	`conf`	Modelling working memory in neuron-astrocyte network. IJCNN Yuliya Tsybina, Susanna Yu Gordleeva, Mikhail Krivonosov, Innokentiy Kastalskiy, Alexey Zaikin, Alexander N. Gorban
2021	J	`jnl`	Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving. CoRR 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
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
2021	J	`jnl`	The Feasibility and Inevitability of Stealth Attacks. CoRR Ivan Yu. Tyukin, Desmond J. Higham, Eliyas Woldegeorgis, Alexander N. Gorban
2020	A	`conf`	Adapting Style and Content for Attended Text Sequence Recognition. WACV Steven Schwarcz, Alexander N. Gorban, Xavier Gibert Serra, Dar-Shyang Lee
2020	J	`jnl`	Correction to: Multivariate Gaussian and Student-t process regression for multi-output prediction. Neural Comput. Appl. Zexun Chen, Bo Wang, Alexander N. Gorban
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`	General stochastic separation theorems with optimal bounds. CoRR Bogdan Grechuk, Alexander N. Gorban, Ivan Yu. Tyukin
2020	J	`jnl`	High-Dimensional Brain in a High-Dimensional World: Blessing of Dimensionality. CoRR Alexander N. Gorban, Valery A. Makarov, Ivan Yu. Tyukin
2020	J	`jnl`	High-Dimensional Brain in a High-Dimensional World: Blessing of Dimensionality. Entropy Alexander N. Gorban, Valery A. Makarov, Ivan Yu. Tyukin
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`	Multivariate Gaussian and Student-t process regression for multi-output prediction. Neural Comput. Appl. Zexun Chen, Bo Wang, Alexander N. Gorban
2020	B	`conf`	On Adversarial Examples and Stealth Attacks in Artificial Intelligence Systems. IJCNN Ivan Yu. Tyukin, Desmond J. Higham, Alexander N. Gorban
2020	J	`jnl`	On Adversarial Examples and Stealth Attacks in Artificial Intelligence Systems. CoRR Ivan Yu. Tyukin, Desmond J. Higham, 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
2019	J	`jnl`	Blessing of dimensionality at the edge. CoRR Ivan Yu. Tyukin, Alexander N. Gorban, Alistair A. McEwan, Sepehr Meshkinfamfard
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`	Fast construction of correcting ensembles for legacy Artificial Intelligence systems: Algorithms and a case study. Inf. Sci. Ivan Yu. Tyukin, Alexander N. Gorban, Stephen Green, Danil V. Prokhorov
2019	B	`conf`	Kernel Stochastic Separation Theorems and Separability Characterizations of Kernel Classifiers. IJCNN Ivan Yu. Tyukin, Alexander N. Gorban, Bogdan Grechuk, Stephen Green
2019	J	`jnl`	LScDC-new large scientific dictionary. CoRR Neslihan Suzen, Evgeny M. Mirkes, Alexander N. Gorban
2019	J	`jnl`	One-trial correction of legacy AI systems and stochastic separation theorems. Inf. Sci. Alexander N. Gorban, Richard Burton, Ilya V. Romanenko, Ivan Yu. Tyukin
2019	J	`jnl`	Symphony of high-dimensional brain. CoRR Alexander N. Gorban, Valeri A. Makarov, Ivan Yu. Tyukin
2019	J	`jnl`	Universal Lyapunov functions for non-linear reaction networks. Commun. Nonlinear Sci. Numer. Simul. Alexander N. Gorban
2019	—	`conf`	Using Convolutional Neural Networks to Distinguish Different Sign Language Alphanumerics. INNSBDDL Stephen Green, Ivan Tyukin, Alexander N. Gorban
2018	J	`jnl`	Augmented Artificial Intelligence: a Conceptual Framework. CoRR Alexander N. Gorban, Bogdan Grechuk, Ivan Yu. Tyukin
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`	Blessing of dimensionality: mathematical foundations of the statistical physics of data. CoRR Alexander N. Gorban, Ivan Yu. Tyukin
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	J	`jnl`	Correction of AI systems by linear discriminants: Probabilistic foundations. Inf. Sci. Alexander N. Gorban, A. Golubkov, Bogdan Grechuk, Eugenij Moiseevich Mirkes, Ivan 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	B	`conf`	Efficiency of Shallow Cascades for Improving Deep Learning AI Systems. IJCNN Ivan Yu. Tyukin, Alexander N. Gorban, Danil V. Prokhorov, Stephen Green
2018	J	`jnl`	Fast Construction of Correcting Ensembles for Legacy Artificial Intelligence Systems: Algorithms and a Case Study. CoRR Ivan Yu. Tyukin, Alexander N. Gorban, Stephen Green, Danil V. Prokhorov
2018	J	`jnl`	Guided Attention for Large Scale Scene Text Verification. CoRR Dafang He, Yeqing Li, Alexander N. Gorban, Derrall Heath, Julian Ibarz, Qian Yu, Daniel Kifer, C. Lee Giles
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`	Knowledge Transfer Between Artificial Intelligence Systems. Frontiers Neurorobotics Ivan Tyukin, Alexander N. Gorban, Konstantin I. Sofeykov, Ilya V. Romanenko
2018	—	`conf`	Large Scale Scene Text Verification with Guided Attention. ACCV (5) Dafang He, Yeqing Li, Alexander N. Gorban, Derrall Heath, Julian Ibarz, Qian Yu, Daniel Kifer, C. Lee Giles
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
2018	—	`conf`	Tackling Rare False-Positives in Face Recognition: A Case Study. HPCC/SmartCity/DSS Sepehr Meshkinfamfard, Alexander N. Gorban, Ivan Tyukin
2018	J	`jnl`	The unreasonable effectiveness of small neural ensembles in high-dimensional brain. CoRR Alexander N. Gorban, Valeri A. Makarov, Ivan Yu. Tyukin
2017	A	`conf`	Attention-Based Extraction of Structured Information from Street View Imagery. ICDAR Zbigniew Wojna, Alexander N. Gorban, Dar-Shyang Lee, Kevin Murphy, Qian Yu, Yeqing Li, Julian Ibarz
2017	J	`jnl`	Attention-based Extraction of Structured Information from Street View Imagery. CoRR Zbigniew Wojna, Alexander N. Gorban, Dar-Shyang Lee, Kevin Murphy, Qian Yu, Yeqing Li, Julian Ibarz
2017	J	`jnl`	Knowledge Transfer Between Artificial Intelligence Systems. CoRR Ivan Yu. Tyukin, Alexander N. Gorban, Konstantin I. Sofeikov, Ilya V. Romanenko
2017	J	`jnl`	Stochastic Separation Theorems. CoRR Alexander N. Gorban, Ivan Yu. Tyukin
2017	J	`jnl`	Stochastic separation theorems. Neural Networks Alexander N. Gorban, Ivan Yu. Tyukin
2016	J	`jnl`	Approximation with random bases: Pro et Contra. Inf. Sci. Alexander N. Gorban, Ivan Yu. Tyukin, Danil V. Prokhorov, Konstantin I. Sofeikov
2016	A*	`conf`	Detecting Events and Key Actors in Multi-person Videos. CVPR Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander N. Gorban, Kevin Murphy, Li Fei-Fei
2016	J	`jnl`	Handling missing data in large healthcare dataset: A case study of unknown trauma outcomes. Comput. Biol. Medicine Eugenij Moiseevich Mirkes, Timothy J. Coats, Jeremy Levesley, Alexander N. Gorban
2016	J	`jnl`	Piece-wise quadratic approximations of arbitrary error functions for fast and robust machine learning. Neural Networks Alexander N. Gorban, Eugenij Moiseevich Mirkes, Andrei Yu. Zinovyev
2016	J	`jnl`	Piece-wise quadratic lego set for constructing arbitrary error potentials and their fast optimization. CoRR Alexander N. Gorban, Eugenij Moiseevich Mirkes, Andrei Yu. Zinovyev
2016	J	`jnl`	Robust principal graphs for data approximation. CoRR Alexander N. Gorban, Eugenij Moiseevich Mirkes, Andrei Yu. Zinovyev
2016	J	`jnl`	SOM: Stochastic initialization versus principal components. Inf. Sci. Ayodeji A. Akinduko, Evgeny M. Mirkes, Alexander N. Gorban
2016	J	`jnl`	The Blessing of Dimensionality: Separation Theorems in the Thermodynamic Limit. CoRR Alexander N. Gorban, Ivan Yu. Tyukin, Ilya V. Romanenko
2015	J	`jnl`	Approximation with Random Bases: Pro et Contra. CoRR Alexander N. Gorban, Ivan Yu. Tyukin, Danil V. Prokhorov, Konstantin I. Sofeikov
2015	J	`jnl`	Detecting events and key actors in multi-person videos. CoRR Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander N. Gorban, Kevin Murphy, Li Fei-Fei
2015	B	`conf`	Fast and user-friendly non-linear principal manifold learning by method of elastic maps. DSAA Alexander N. Gorban, Andrei Yu. Zinovyev
2015	A*	`conf`	Im2Calories: Towards an Automated Mobile Vision Food Diary. ICCV Austin Myers, Nick Johnston, Vivek Rathod, Anoop Korattikara, Alexander N. Gorban, Nathan Silberman, Sergio Guadarrama, George Papandreou, Jonathan Huang, Kevin Murphy
2014	J	`jnl`	Computational diagnosis and risk evaluation for canine lymphoma. Comput. Biol. Medicine Eugenij Moiseevich Mirkes, I. Alexandrakis, K. Slater, R. Tuli, Alexander N. Gorban
2014	—	`conf`	Further results on Lyapunov-like conditions of forward invariance and boundedness for a class of unstable systems. CDC Alexander N. Gorban, Ivan Yu. Tyukin, Henk Nijmeijer
2014	J	`jnl`	General H-theorem and Entropies that Violate the Second Law. Entropy Alexander N. Gorban
2014	B	`conf`	Learning optimization for decision tree classification of non-categorical data with information gain impurity criterion. IJCNN Konstantin I. Sofeikov, Ivan Tyukin, Alexander N. Gorban, Eugenij Moiseevich Mirkes, Danil V. Prokhorov, Ilya V. Romanenko
2014	C	`conf`	Scene analysis assisting for AWB using binary decision trees and average image metrics. ICCE Konstantin I. Sofeikov, Ilya V. Romanenko, Ivan Yu. Tyukin, Alexander N. Gorban
2014	J	`jnl`	ViDaExpert: user-friendly tool for nonlinear visualization and analysis of multidimensional vectorial data. CoRR Alexander N. Gorban, Alexander Pitenko, Andrei Yu. Zinovyev
2013	—	`conf`	Explicit reduced-order integral formulations of state and parameter estimation problems for a class of nonlinear systems. CDC Ivan Tyukin, Alexander N. Gorban
2013	—	`conf`	Geometrical Complexity of Data Approximators. IWANN (1) Evgeny M. Mirkes, Andrei Yu. Zinovyev, Alexander N. Gorban
2013	J	`jnl`	Geometrical complexity of data approximators CoRR Eugenij Moiseevich Mirkes, Andrei Yu. Zinovyev, Alexander N. Gorban
2013	J	`jnl`	Grasping Complexity CoRR Alexander N. Gorban, G. S. Yablonsky
2013	J	`jnl`	Grasping Complexity. Comput. Math. Appl. Alexander N. Gorban, G. S. Yablonsky
2013	J	`jnl`	Lyapunov-like Conditions of Forward Invariance and Boundedness for a Class of Unstable Systems. SIAM J. Control. Optim. Alexander N. Gorban, Ivan Tyukin, Erik Steur, Henk Nijmeijer
2013	J	`jnl`	Maxallent: Maximizers of all entropies and uncertainty of uncertainty. Comput. Math. Appl. Alexander N. Gorban
2013	J	`jnl`	Thermodynamic Tree: The Space of Admissible Paths. SIAM J. Appl. Dyn. Syst. Alexander N. Gorban
2011	J	`jnl`	The Michaelis-Menten-Stueckelberg Theorem. Entropy Alexander N. Gorban, Muhammad Shahzad
2010	J	`jnl`	Dynamical modeling of microRNA action on the protein translation process. BMC Syst. Biol. Andrei Yu. Zinovyev, Nadya Morozova, Nora Nonne, Emmanuel Barillot, Annick Harel-Bellan, Alexander N. Gorban
2010	J	`jnl`	Entropy: The Markov Ordering Approach. Entropy Alexander N. Gorban, Pavel A. Gorban, George Judge
2010	J	`jnl`	Nonlinear Quality of Life Index CoRR Andrei Yu. Zinovyev, Alexander N. Gorban
2010	J	`jnl`	Principal Manifolds and Graphs in Practice: from Molecular Biology to Dynamical Systems. Int. J. Neural Syst. Alexander N. Gorban, Andrei Yu. Zinovyev
2010	J	`jnl`	Principal manifolds and graphs in practice: from molecular biology to dynamical systems CoRR Alexander N. Gorban, Andrei Yu. Zinovyev
2008	J	`jnl`	Principal Graphs and Manifolds CoRR Alexander N. Gorban, Andrei Yu. Zinovyev
2008	J	`jnl`	Robust simplifications of multiscale biochemical networks. BMC Syst. Biol. Ovidiu Radulescu, Alexander N. Gorban, Andrei Yu. Zinovyev, Alain Lilienbaum
2007	B	`conf`	Branching Principal Components: Elastic Graphs, Topological Grammars and Metro Maps. IJCNN Alexander N. Gorban, Neil R. Sumner, Andrei Yu. Zinovyev
2007	J	`jnl`	Stable simulation of fluid flow with high-Reynolds number using Ehrenfests' steps. Numer. Algorithms R. A. Brownlee, Alexander N. Gorban, Jeremy Levesley
2007	J	`jnl`	Topological grammars for data approximation. Appl. Math. Lett. Alexander N. Gorban, Neil R. Sumner, Andrei Yu. Zinovyev
2006	J	`jnl`	Topological Grammars for Data Approximation CoRR Alexander N. Gorban, Neil R. Sumner, Andrei Yu. Zinovyev
2005	J	`jnl`	Elastic Principal Graphs and Manifolds and their Practical Applications. Computing Alexander N. Gorban, Andrei Yu. Zinovyev
2005	J	`jnl`	Four basic symmetry types in the universal 7-cluster structure of microbial genomic sequences. Silico Biol. Alexander N. Gorban, Tatyana G. Popova, Andrei Yu. Zinovyev
2004	J	`jnl`	MultiNeuron - Neural Networks Simulator For Medical, Physiological, and Psychological Applications CoRR Alexander N. Gorban, D. A. Rossiyev, M. G. Dorrer
2003	B	`conf`	Application of the method of elastic maps in analysis of genetic texts. IJCNN Alexander N. Gorban, Andrei Yu. Zinovyev, Donald C. Wunsch
2003	J	`jnl`	Back-propagation of accuracy CoRR Masha Yu. Senashova, Alexander N. Gorban, Donald C. Wunsch II
2003	J	`jnl`	Generation of Explicit Knowledge from Empirical Data through Pruning of Trainable Neural Networks CoRR Alexander N. Gorban, Eugenij Moiseevich Mirkes, Victor G. Tsaregorodtsev
2003	J	`jnl`	Neural network modeling of data with gaps: method of principal curves Carleman's formula, and other CoRR Alexander N. Gorban, A. A. Rossiev, Donald C. Wunsch II
2003	J	`jnl`	Self-Organizing Approach for Automated Gene Identification. Open Syst. Inf. Dyn. Andrei Yu. Zinovyev, Alexander N. Gorban, Tatyana G. Popova
2003	J	`jnl`	Seven clusters in genomic triplet distributions CoRR Alexander N. Gorban, Andrei Yu. Zinovyev, Tatyana G. Popova
2003	J	`jnl`	Seven clusters in genomic triplet distributions. Silico Biol. Alexander N. Gorban, Andrei Yu. Zinovyev, Tatyana G. Popova
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
1997	—	`conf`	Backpropagation of accuracy. ICNN Masha Yu. Senashova, Alexander N. Gorban, Donald C. Wunsch II
1997	—	`conf`	High order orthogonal tensor networks: information capacity and reliability. ICNN Alexander N. Gorban, Yeugenii M. Mirkes, Donald C. Wunsch II