Igor S. Masich

According to our database, Igor S. Masich authored at least 14 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

SciGraph-LLM: Automatic Knowledge Graph Construction from Scientific Papers.

Ivan P. Malashin, Igor S. Masich, Vadim Tynchenko, Aleksei S. Borodulin, Andrei P. Gantimurov, Vladimir A. Nelyub, Dmitry Martysyuk

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

2025

Minimizing unnecessary tax audits using multi-objective hyperparameter tuning of XGBoost with focal loss.

Ivan P. Malashin, Igor S. Masich, Vadim Sergeevich Tynchenko, Andrei P. Gantimurov, Vladimir A. Nelyub, Aleksei S. Borodulin

Frontiers Artif. Intell., 2025

Fast Adaptive Approximate Nearest Neighbor Search with Cluster-Shaped Indices.

Vladimir Kazakovtsev, Mikhail Plekhanov, Alexandr Naumchev, Guzel Sh. Shkaberina, Igor S. Masich, Lyudmila Egorova, Alena A. Stupina, Aleksey M. Popov, Lev Kazakovtsev

Big Data Cogn. Comput., 2025

Automated Detection of Deviations in Bankruptcy Processes Using Process Mining.

Ivan P. Malashin, Igor S. Masich, Daniel A. Ageev, Dmitriy A. Evsyukov, Andrei P. Gantimurov, Vladimir A. Nelyub, Aleksei S. Borodulin, Vadim Sergeevich Tynchenko

IEEE Access, 2025

Automated Evolutionary Hyperparameter Tuning for NLP-Based Test Case Generation.

Ivan P. Malashin, Igor S. Masich, Sergei Kurashkin, Andrei P. Gantimurov, Aleksey S. Borodulin, Vladimir A. Neluyb, Vadim Tynchenko

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, ASE 2025, 2025

A Stochastic Diffusion Framework for Tabular Data Synthesis and Completion.

Ivan P. Malashin, Igor S. Masich, Dmitry Martysyuk, Andrei P. Gantimurov, Aleksey S. Borodulin, Vladimir A. Nelyub, Vadim Tynchenko

Proceedings of the IEEE International Conference on Data Mining, 2025

2024

Image Text Extraction and Natural Language Processing of Unstructured Data from Medical Reports.

Ivan P. Malashin, Igor S. Masich, Vadim Tynchenko, Andrei P. Gantimurov, Vladimir A. Nelyub, Aleksey S. Borodulin

Mach. Learn. Knowl. Extr., June, 2024

Application of Natural Language Processing and Genetic Algorithm to Fine-Tune Hyperparameters of Classifiers for Economic Activities Analysis.

Ivan P. Malashin, Igor S. Masich, Vadim Tynchenko, Vladimir A. Nelyub, Aleksey S. Borodulin, Andrei P. Gantimurov

Big Data Cogn. Comput., 2024

Anomaly Detection in Restaurant Receipts Data.

Ivan P. Malashin, Igor S. Masich, Vadim Sergeevich Tynchenko, Andrei P. Gantimurov, Vladimir A. Nelyub, Aleksey S. Borodulin, Sergei I. Tokarev, Denis I. Vasilev

IEEE Access, 2024

Confidence-Aware Rejection Class Minimization in Indirect Tax Audit Classification.

Ivan P. Malashin, Igor S. Masich, Vadim Sergeevich Tynchenko, Andrei P. Gantimurov, Vladimir A. Nelyub, Aleksey S. Borodulin

IEEE Access, 2024

Anomaly Detection in Financial Data Using GA-Optimized MLP Models.

Ivan P. Malashin, Igor S. Masich, Aleksei S. Borodulin, Vladimir Viktorovich Bukhtoyarov, Vladimir A. Nelyub, Vadim Tynchenko

Proceedings of the IEEE International Conference on Data Mining, 2024

2023

Subgroup Discovery in Machine Learning Problems with Formal Concepts Analysis and Test Theory Algorithms.

Igor S. Masich, Natalya Rezova, Guzel Sh. Shkaberina, Sergei Mironov, Mariya Bartosh, Lev Kazakovtsev

Algorithms, 2023

2022

Formation of Fuzzy Patterns in Logical Analysis of Data Using a Multi-Criteria Genetic Algorithm.

Igor S. Masich, Margarita A. Kulachenko, Predrag S. Stanimirovic, Aleksey M. Popov, Elena M. Tovbis, Alena A. Stupina, Lev A. Kazakovtsev

Symmetry, 2022

Paired Patterns in Logical Analysis of Data for Decision Support in Recognition.

Igor S. Masich, Vadim Sergeevich Tynchenko, Vladimir A. Nelyub, Vladimir Viktorovich Bukhtoyarov, Sergei Olegovich Kurashkin, Aleksey S. Borodulin

Comput., 2022