103 citations · 169 across the 13 of their papers we have counts for
10 papers · 1 filter
Data-driven model for hydraulic fracturing design optimization. Part II: Inverse problem
Viktor Duplyakov, Anton Morozov, Dmitriy Popkov +5
We describe a stacked model for predicting the cumulative fluid production for an oil well with a multistage-fracture completion based on a combination of Ridge Regression and CatB…
Adversarial Attacks on Deep Models for Financial Transaction Records
Ivan Fursov, Matvey Morozov, Nina Kaploukhaya +7
Machine learning models using transaction records as inputs are popular among financial institutions. The most efficient models use deep-learning architectures similar to those in…
COHORTNEY: Non-Parametric Clustering of Event Sequences
Vladislav Zhuzhel, Rodrigo Rivera-Castro, Nina Kaploukhaya +3
Cohort analysis is a pervasive activity in web analytics. One divides users into groups according to specific criteria and tracks their behavior over time. Despite its extensive us…
Topology-based Clusterwise Regression for User Segmentation and Demand Forecasting
Rodrigo Rivera-Castro, Aleksandr Pletnev, Polina Pilyugina +4
Topological Data Analysis (TDA) is a recent approach to analyze data sets from the perspective of their topological structure. Its use for time series data has been limited. In thi…
Differentiable Language Model Adversarial Attacks on Categorical Sequence Classifiers
I. Fursov, A. Zaytsev, N. Kluchnikov +2
An adversarial attack paradigm explores various scenarios for the vulnerability of deep learning models: minor changes of the input can force a model failure. Most of the state of…
Data-driven models and computational tools for neurolinguistics: a language technology perspective
Ekaterina Artemova, Amir Bakarov, Aleksey Artemov +2
In this paper, our focus is the connection and influence of language technologies on the research in neurolinguistics. We present a review of brain imaging-based neurolinguistic st…