activity
20022021
most citedMethod of invariant manifold for chemical kinetics

251 citations · 992 across the 28 of their papers we have counts for

collaborators

29 papers

cs.LG2021

Demystification of Few-shot and One-shot Learning

Ivan Y. Tyukin, Alexander N. Gorban, Muhammad H. Alkhudaydi +1

Few-shot and one-shot learning have been the subject of active and intensive research in recent years, with mounting evidence pointing to successful implementation and exploitation…

cs.CL2021★ 1 cited

Semantic Analysis for Automated Evaluation of the Potential Impact of Research Articles

Neslihan Suzen, Alexander Gorban, Jeremy Levesley +1

Can the analysis of the semantics of words used in the text of a scientific paper predict its future impact measured by citations? This study details examples of automated text cla…

q-bio.NC2020★ 82 cited

Formation of working memory in a spiking neuron network accompanied by astrocytes

Susanna Yu. Gordleeva, Yulia A. Tsybina, Mikhail I. Krivonosov +4

We propose a biologically plausible computational model of working memory (WM) implemented by the spiking neuron network (SNN) interacting with a network of astrocytes. SNN is mode…

cs.AI2020★ 22 cited

General stochastic separation theorems with optimal bounds

Bogdan Grechuk, Alexander N. Gorban, Ivan Y. Tyukin

Phenomenon of stochastic separability was revealed and used in machine learning to correct errors of Artificial Intelligence (AI) systems and analyze AI instabilities. In high-dime…

cs.CL2020★ 3 cited

Principal Components of the Meaning

Neslihan Suzen, Alexander Gorban, Jeremy Levesley +1

In this paper we argue that (lexical) meaning in science can be represented in a 13 dimension Meaning Space. This space is constructed using principal component analysis (singular…

stat.AP2020★ 48 cited

Trajectories, bifurcations and pseudotime in large clinical datasets: applications to myocardial infarction and diabetes data

Sergey E. Golovenkin, Jonathan Bac, Alexander Chervov +5

Large observational clinical datasets become increasingly available for mining associations between various disease traits and administered therapy. These datasets can be considere…