Alexander N. Gorban

发表

Scene analysis assisting for AWB using binary decision trees and average image metrics

Ivan Tyukin, Ilya V. Romanenko, Konstantin I. Sofeikov, 2014, 2014 IEEE International Conference on Consumer Electronics (ICCE).

Robust principal graphs for data approximation pdf

Alexander N. Gorban, Eugenij Moiseevich Mirkes, Andrei Yu. Zinovyev, 2016, ArXiv.

Fast and user-friendly non-linear principal manifold learning by method of elastic maps

Alexander N. Gorban, Andrei Yu. Zinovyev, 2015, 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

One-trial correction of legacy AI systems and stochastic separation theorems

Ivan Tyukin, Ilya V. Romanenko, Richard Burton, 2019, Inf. Sci..

Irreversibility in the short memory approximation

Alexander N. Gorban, Iliya V. Karlin, Larisa L. Tatarinova, 2003 .

Piece-wise quadratic lego set for constructing arbitrary error potentials and their fast optimization pdf

Alexander N. Gorban, Eugenij Moiseevich Mirkes, Andrei Yu. Zinovyev, 2016, ArXiv.

Model of neuronal activity in cultural network with energy feedback

Victor B. Kazantsev, Irina Mukhina, Alexander N. Gorban, 2016 .

Principal Manifolds and Graphs in Practice: from Molecular Biology to Dynamical Systems

Alexander N. Gorban, Andrei Yu. Zinovyev, Alexander N Gorban, 2010, Int. J. Neural Syst..

Fast Numerical Evaluation of Periodic Solutions for a Class of Nonlinear Systems and Its Applications for Parameter Estimation Problems

Ivan Tyukin, Jeremy Levesley, Alexander N. Gorban, 2018 .

Large Scale Scene Text Verification with Guided Attention

Daniel Kifer, C. Lee Giles, Qian Yu, 2018, ACCV.

Handling missing data in large healthcare dataset: A case study of unknown trauma outcomes

Jeremy Levesley, Alexander N. Gorban, Eugenij Moiseevich Mirkes, 2016, Comput. Biol. Medicine.

Maxallent: Maximizers of all entropies and uncertainty of uncertainty

Alexander N. Gorban, 2013, Comput. Math. Appl..

Thermodynamic Tree: The Space of Admissible Paths

Alexander N. Gorban, Alexander N Gorban, 2012, SIAM J. Appl. Dyn. Syst..

Data analysis with arbitrary error measures approximated by piece-wise quadratic PQSQ functions

Alexander N. Gorban, Eugenij Moiseevich Mirkes, Andrei Yu. Zinovyev, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Principal Graphs and Manifolds pdf

Alexander N. Gorban, Andrei Yu. Zinovyev, Alexander N Gorban, 2008, ArXiv.

Efficiency of Shallow Cascades for Improving Deep Learning AI Systems

Ivan Tyukin, Danil V. Prokhorov, Alexander N. Gorban, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Robust simplifications of multiscale biochemical networks

Alexander N. Gorban, Andrei Yu. Zinovyev, Ovidiu Radulescu, 2008, BMC Systems Biology.

Explicit reduced-order integral formulations of state and parameter estimation problems for a class of nonlinear systems

Ivan Tyukin, Alexander N. Gorban, 2013, 52nd IEEE Conference on Decision and Control.

Internal conflicts in neural networks

Alexander N. Gorban, S. Y. Gilev, Y. M. Mirkes, 1992, [Proceedings] 1992 RNNS/IEEE Symposium on Neuroinformatics and Neurocomputers.

Generation of explicit knowledge from empirical data through pruning of trainable neural networks

Alexander N. Gorban, Eugenij Moiseevich Mirkes, Victor G. Tsaregorodtsev, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Blessing of dimensionality at the edge pdf

Alistair A. McEwan, Alexander N. Gorban, Sepehr Meshkinfamfard, 2019, ArXiv.

Guided Attention for Large Scale Scene Text Verification pdf

Daniel Kifer, C. Lee Giles, Qian Yu, 2018, ArXiv.

Multistability and coherent dynamics in directed networks of heterogeneous neural oscillators with modular network topologies

Ivan Tyukin, Erik Steur, Alexander N. Gorban, 2016 .

Back-Propagation of Accuracy

Donald C. Wunsch, Alexander N. Gorban, Russian Federation, 2003 .

" MULTINEURON " NEURAL SIMULATOR AND ITS MEDICAL APPLICATIONS

G. V. Matyushin, Alexander N. Gorban, A. A. Savchenko, 1994 .

Robust and Scalable Learning of Complex Intrinsic Dataset Geometry via ElPiGraph

Andrei Zinovyev, Emmanuel Barillot, Luca Pinello, 2018, Entropy.

Special Issue on Complexity INTRODUCTION

Alexander N. Gorban, C Fyfe, 2010 .

Neural network modeling of data with gaps: method of principal curves Carleman's formula, and other

Donald C. Wunsch, Alexander N. Gorban, A. A. Rossiev, 2003, ArXiv.

Grasping Complexity

Alexander N. Gorban, Alexander N Gorban, G. S. Yablonsky, 2013, Comput. Math. Appl..

Approximation with random bases: Pro et Contra

Ivan Tyukin, Danil V. Prokhorov, Konstantin I. Sofeikov, 2015, Inf. Sci..

Symphony of high-dimensional brain

Alexander N. Gorban, Valeri A. Makarov, Ivan Y. Tyukin, 2019, Physics of life reviews.

Tackling Rare False-Positives in Face Recognition: A Case Study

Ivan Tyukin, Alexander N. Gorban, Sepehr Meshkinfamfard, 2018, 2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS).

Further results on Lyapunov-like conditions of forward invariance and boundedness for a class of unstable systems

Henk Nijmeijer, Ivan Tyukin, Alexander N. Gorban, 2014, 53rd IEEE Conference on Decision and Control.

Simple model of complex bursting dynamics in developing networks of neuronal cultures

Ivan Tyukin, Victor B. Kazantsev, Alexander N. Gorban, 2016 .

Four basic symmetry types in the universal 7-cluster structure of microbial genomic sequences

Alexander N. Gorban, Andrei Yu. Zinovyev, Tatyana G. Popova, 2005, Silico Biol..

Using Convolutional Neural Networks to Distinguish Different Sign Language Alphanumerics

Ivan Tyukin, Alexander N. Gorban, Stephen Green, 2019, INNSBDDL.

Dynamical modeling of microRNA action on the protein translation process

Emmanuel Barillot, Annick Harel-Bellan, Nadya Morozova, 2009, BMC Systems Biology.

Piece-wise quadratic approximations of arbitrary error functions for fast and robust machine learning

Alexander N. Gorban, Eugenij Moiseevich Mirkes, Andrei Yu. Zinovyev, 2016, Neural Networks.

Computational diagnosis and risk evaluation for canine lymphoma

Alexander N. Gorban, Eugenij Moiseevich Mirkes, Alexander N Gorban, 2013, Comput. Biol. Medicine.

Elastic Principal Graphs and Manifolds and their Practical Applications

Alexander N. Gorban, Andrei Yu. Zinovyev, 2005, Computing.

DOMINANT PATHS AND SYSTEMS IN MULTISCALE REACTION NETWORKS

Andrei Zinovyev, Alexander N. Gorban, Ovidiu Radulescu, 2013 .

Model reduction and coarse-graining approaches for multiscale phenomena

Nikolaos Kazantzis, Constantinos Theodoropoulos, Ioannis G. Kevrekidis, 2006 .

Stochastic Separation Theorems

Ivan Tyukin, Alexander N. Gorban, 2017, Neural Networks.

Nonlinear Quality of Life Index pdf

Alexander N. Gorban, Andrei Yu. Zinovyev, 2010, ArXiv.

Application of the method of elastic maps in analysis of genetic texts

Donald C. Wunsch, Alexander N. Gorban, Andrei Zinovyev, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

The Michaelis-Menten-Stueckelberg Theorem

Muhammad Shahzad, Alexander N. Gorban, Alexander N Gorban, 2010, Entropy.

Learning optimization for decision tree classification of non-categorical data with information gain impurity criterion

Ivan Tyukin, Danil V. Prokhorov, Ilya V. Romanenko, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Branching Principal Components: Elastic Graphs, Topological Grammars and Metro Maps

Alexander N. Gorban, Andrei Yu. Zinovyev, Neil R. Sumner, 2007, 2007 International Joint Conference on Neural Networks.

ViDaExpert: user-friendly tool for nonlinear visualization and analysis of multidimensional vectorial data pdf

Alexander N. Gorban, Andrei Yu. Zinovyev, Alexander Pitenko, 2014, ArXiv.

Principal Manifolds for Data Visualization and Dimension Reduction

Andrei Zinovyev, Donald C. Wunsch, Alexander N. Gorban, 2007 .

Information Content of the Frequency Dictionaries, Reconstruction, Transformation and Classification of Dictionaries and Genetic Texts

Donald C. Wunsch, Michael G. Sadovsky, Alexander N. Gorban, 2001 .

SOM: Stochastic initialization versus principal components

Alexander N. Gorban, Eugenij Moiseevich Mirkes, Ayodeji A. Akinduko, 2016, Inf. Sci..

The unreasonable effectiveness of small neural ensembles in high-dimensional brain

Ivan Tyukin, Alexander N. Gorban, Valeri A. Makarov, 2018, Physics of life reviews.

MultiNeuron - Neural Networks Simulator For Medical, Physiological, and Psychological Applications

Alexander N. Gorban, M. G. Dorrer, D. A. Rossiyev, 2004, ArXiv.

Entropy: The Markov Ordering Approach

Alexander N. Gorban, George Judge, Alexander N Gorban, 2010, Entropy.

Robust and scalable learning of data manifolds with complex topologies via ElPiGraph pdf

Emmanuel Barillot, Luca Pinello, Alexander N. Gorban, 2018, ArXiv.

Geometrical Complexity of Data Approximators

Alexander N. Gorban, Eugenij Moiseevich Mirkes, Andrei Yu. Zinovyev, 2013, IWANN.

Topological grammars for data approximation

Alexander N. Gorban, Andrei Yu. Zinovyev, Neil R. Sumner, 2007, Appl. Math. Lett..

Recovering data gaps through neural network methods

Alexander N. Gorban, Alexander N Gorban, N. G. Makarenko, 2002 .

Liquid Brain: The Proof of Algorithmic Universality of Quasichemical Model of Fine-grained Parallelism

Alexander N. Gorban, Katya O. Gorbunova, 2001 .

Attention-Based Extraction of Structured Information from Street View Imagery

Kevin Murphy, Qian Yu, Yeqing Li, 2017, 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR).

Limits of the Turbine Efficiency for Free Fluid Flow

Alexander M. Gorlov, Alexander N. Gorban, Alexander N Gorban, 2001 .

Further results on Lyapunov-like conditions of forward invariance and boundedness for a class of unstable systems

Henk Nijmeijer, Ivan Tyukin, Erik Steur, 2009, 53rd IEEE Conference on Decision and Control.

Correction of AI systems by linear discriminants: Probabilistic foundations

Ivan Tyukin, Alexander N. Gorban, Bogdan Grechuk, 2018, Inf. Sci..

Augmented Artificial Intelligence: a Conceptual Framework pdf

Ivan Tyukin, Alexander N. Gorban, Bogdan Grechuk, 2018, ArXiv.

General H-theorem and Entropies that Violate the Second Law

Alexander N. Gorban, Alexander N Gorban, 2012, Entropy.

Automatic Short Answer Grading and Feedback Using Text Mining Methods pdf

Jeremy Levesley, Alexander N. Gorban, Eugenij Moiseevich Mirkes, 2018, Procedia Computer Science.

Self-Organizing Approach for Automated Gene Identification

Alexander N. Gorban, Andrei Yu. Zinovyev, Tatyana G. Popova, 2003, Open Syst. Inf. Dyn..

Fast Construction of Correcting Ensembles for Legacy Artificial Intelligence Systems: Algorithms and a Case Study

Ivan Tyukin, Danil V. Prokhorov, Alexander N. Gorban, 2018, Inf. Sci..

The Blessing of Dimensionality: Separation Theorems in the Thermodynamic Limit pdf

Ivan Tyukin, Ilya V. Romanenko, Alexander N. Gorban, 2016, ArXiv.

Seven clusters in genomic triplet distributions

Alexander N. Gorban, Andrei Yu. Zinovyev, Tatyana G. Popova, 2003, Silico Biol..

Stable simulation of fluid flow with high-Reynolds number using Ehrenfests’ steps

Jeremy Levesley, Alexander N. Gorban, Alexander N Gorban, 2007, Numerical Algorithms.

Do Fractional Norms and Quasinorms Help to Overcome the Curse of Dimensionality?

Alexander N. Gorban, Alexander N Gorban, Evgeny M. Mirkes, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Blessing of dimensionality: mathematical foundations of the statistical physics of data

Ivan Tyukin, Alexander N. Gorban, Alexander N Gorban, 2018, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

The Feasibility and Inevitability of Stealth Attacks pdf

Desmond J. Higham, Alexander N. Gorban, Ivan Y. Tyukin, 2021, ArXiv.

Scikit-Dimension: A Python Package for Intrinsic Dimension Estimation

Andrei Zinovyev, Ivan Tyukin, Alexander N. Gorban, 2021, Entropy.

Principal Curves and Manifolds: Methods and Applications

Andrei Zinovyev, Jochen Einbeck, Ludger Evers, 2021 .

Coloring Panchromatic Nighttime Satellite Images: Comparing the Performance of Several Machine Learning Methods

Andrei Zinovyev, Anna Brook, Boris A. Portnov, 2022, IEEE Transactions on Geoscience and Remote Sensing.

Blessing of dimensionality at the edge and geometry of few-shot learning

Ivan Tyukin, Alistair A. McEwan, Alexander N. Gorban, 2021, Inf. Sci..

High-Dimensional Separability for One- and Few-Shot Learning

Alexander N. Gorban, Bogdan Grechuk, Alexander N Gorban, 2021, Entropy.