Alexander N Gorban

Author Info

Name	Affiliation	Papers
ALEXANDER N GORBAN	Department of Mathematics, University of Leicester, LE1 7RH, UK\|Institute of Computational Modeling SB RAS, Krasnoyarsk, Akademgorodok, 660036, Russia	37
Collaborators	Citations	PageRank
63	90	16.13
Referers	Referees	References
188	361	211

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100361

Publications (37 rows)

Collaborators (63 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisation.	0	0.34	2022
Coloring Panchromatic Nighttime Satellite Images: Comparing the Performance of Several Machine Learning Methods	0	0.34	2022
Coloring Panchromatic Nighttime Satellite Images: Comparing the Performance of Several Machine Learning Methods	0	0.34	2022
Scikit-Dimension: A Python Package for Intrinsic Dimension Estimation	0	0.34	2021
General stochastic separation theorems with optimal bounds	0	0.34	2021
High-Dimensional Brain in a High-Dimensional World: Blessing of Dimensionality.	0	0.34	2020
Robust and Scalable Learning of Complex Intrinsic Dataset Geometry via ElPiGraph.	0	0.34	2020
Correction to: Multivariate Gaussian and Student-t process regression for multi-output prediction	1	0.39	2020
Symphony of high-dimensional brain.	0	0.34	2019
One-trial correction of legacy AI systems and stochastic separation theorems.	0	0.34	2019
Using Convolutional Neural Networks to Distinguish Different Sign Language Alphanumerics.	0	0.34	2019
Fractional Norms And Quasinorms Do Not Help To Overcome The Curse Of Dimensionality	0	0.34	2019
Blessing of dimensionality: mathematical foundations of the statistical physics of data.	11	0.56	2018
Robust and scalable learning of data manifolds with complex topologies via ElPiGraph.	1	0.36	2018
Automatic Short Answer Grading and Feedback Using Text Mining Methods.	1	0.36	2018
Knowledge Transfer Between Artificial Intelligence Systems.	5	0.45	2018
Correction of AI systems by linear discriminants: Probabilistic foundations.	5	0.45	2018
Augmented Artificial Intelligence: a Conceptual Framework.	2	0.38	2018
Fast Construction of Correcting Ensembles for Legacy Artificial Intelligence Systems: Algorithms and a Case Study.	1	0.35	2018
Guided Attention for Large Scale Scene Text Verification.	0	0.34	2018
The unreasonable effectiveness of small neural ensembles in high-dimensional brain.	3	0.42	2018
How deep should be the depth of convolutional neural networks: a backyard dog case study.	3	0.40	2018
Stochastic Separation Theorems.	2	0.42	2017
Handling missing data in large healthcare dataset: A case study of unknown trauma outcomes.	4	0.53	2016
Piece-wise quadratic approximations of arbitrary error functions for fast and robust machine learning.	0	0.34	2016
Robust principal graphs for data approximation.	0	0.34	2016
Piece-wise quadratic lego set for constructing arbitrary error potentials and their fast optimization.	0	0.34	2016
The Blessing of Dimensionality: Separation Theorems in the Thermodynamic Limit.	6	0.49	2016
Fast and user-friendly non-linear principal manifold learning by method of elastic maps	1	0.63	2015
Approximation with random bases: Pro et Contra.	7	0.50	2015
Learning Optimization For Decision Tree Classification Of Non-Categorical Data With Information Gain Impurity Criterion	0	0.34	2014
Lyapunov-like Conditions of Forward Invariance and Boundedness for a Class of Unstable Systems.	2	0.40	2013
Robust simplifications of multiscale biochemical networks.	26	1.59	2008
Branching Principal Components: Elastic Graphs, Topological Grammars and Metro Maps	2	0.47	2007
Four basic symmetry types in the universal 7-cluster structure of microbial genomic sequences.	5	0.83	2005
Generation of explicit knowledge from empirical data through pruning of trainable neural networks	2	0.41	2003
High Order Orthogonal Tensor Networks: Information Capacity And Reliability	0	0.34	1997