Publications

For a complete list, please feel free to visit Google Scholar

Publications as First Author with a WoS Index and Core Ranking:

2022

IEEE Access

Sequence Embeddings Help Detect Insurance Fraud

2021

SIGKDD

Adversarial attacks on deep models for financial transaction records

IEEE DSAA

CAUSALYSIS: Causal Machine Learning for Real-Estate Investment Decisions

2020

IEEE Big Data

Addressing cold start in recommender systems with hierarchical graph neural networks

IEEE International Conference on Machine Learning and Applications

Graph Neural Networks for Model Recommendation using Time Series Data

2019

IEEE ICDM Workshop on Blockchain Data Analytics

Topological Data Analysis for Portfolio Management of Cryptocurrencies

IEEE International Conference on Data Science and Advanced Analytics

Topology-based Clusterwise Regression for User Segmentation and Demand Forecasting

IEEE International Conference on Machine Learning and Applications

An industry case of large-scale demand forecasting of hierarchical components

International Symposium on Neural Networks

Demand Forecasting Techniques for Build-to-Order Lean Manufacturing Supply Chains

IMP

Topological Data Analysis of Time Series Data for B2B Customer Relationship Management

2018

Big Data Moscow

Towards forecast techniques for business analysts of large commercial data sets using matrix factorization methods

2017

IEEE ICDM Workshop on Data Mining for Services

Forecasting of commercial sales with large scale Gaussian Processes