output
20142023
most citedE.T.-RNN: Applying Deep Learning to Credit Loan Applications

91 citations

5 papers

cs.AI2023★ 3 cited

Cognitive Architecture for Decision-Making Based on Brain Principles Programming (in Russian)

Anton Kolonin, Andrey Kurpatov, Artem Molchanov +1

We describe a cognitive architecture intended to solve a wide range of problems based on the five identified principles of brain activity, with their implementation in three subsys…

math.CO2023

On cone partitions for the min-cut and max-cut problems with non-negative edges

Andrei V. Nikolaev, Alexander V. Korostil

We consider the classical minimum and maximum cut problems: find a partition of vertices of a graph into two disjoint subsets that minimize or maximize the sum of the weights of ed…

eess.SP2021★ 49 cited

Project Achoo: A Practical Model and Application for COVID-19 Detection from Recordings of Breath, Voice, and Cough

Alexander Ponomarchuk, Ilya Burenko, Elian Malkin +4

The COVID-19 pandemic created a significant interest and demand for infection detection and monitoring solutions. In this paper we propose a machine learning method to quickly tria…

cs.LG2019★ 91 cited

E.T.-RNN: Applying Deep Learning to Credit Loan Applications

Dmitrii Babaev, Maxim Savchenko, Alexander Tuzhilin +1

In this paper we present a novel approach to credit scoring of retail customers in the banking industry based on deep learning methods. We used RNNs on fine grained transnational d…

q-fin.RM2014★ 2 cited

Default contagion risks in Russian interbank market

A. V. Leonidov, E. L. Rumyantsev

Systemic risks of default contagion in the Russian interbank market are investigated. The analysis is based on considering the bow-tie structure of the weighted oriented graph desc…