Development of a Fuzzy Inference Model for the Management of a Marine Engine. - Sergii Babichev; Liliya Strielkovskaya; Oleksandr Zaitsev; Orest Khamula (ISDMCI, 2020)

Suggesting Descriptive Method Names: An Exploratory Study of Two Machine Learning Approaches. - Oleksandr Zaitsev; Stéphane Ducasse; Alexandre Bergel; Mathieu Eveillard (QUATIC, 2020)

How Libraries Evolve: A Survey of Two Industrial Companies and an Open-Source Community. - Oleksandr Zaitsev; Stéphane Ducasse; Nicolas Anquetil; Arnaud Thiefaine (APSEC, 2022)

DepMiner: Automatic Recommendation of Transformation Rules for Method Deprecation. - Oleksandr Zaitsev; Stéphane Ducasse; Nicolas Anquetil; Arnaud Thiefaine (ICSR, 2022)

Optimization of Data Preprocessing Procedure in the Systems of High Dimensional Data Clustering. - Maksym Korobchynskyi; Myhailo Rudenko; Vladyslav Dereko; Oleksandr Kovtun; Oleksandr Zaitsev (ISDMCI, 2022)

How Fast is AI in Pharo? Benchmarking Linear Regression. - Oleksandr Zaitsev; Sebastian Jordan-Montaño; Stéphane Ducasse (IWST, 2022)

What do developers consider magic literals? A smalltalk perspective. - Nicolas Anquetil; Julien Delplanque; Stéphane Ducasse; Oleksandr Zaitsev; Christopher P. Fuhrman; Yann-Gaël Guéhéneuc (Inf. Softw. Technol., 2022)

Deprewriter: On the fly rewriting method deprecations. - Stéphane Ducasse; Guillermo Polito; Oleksandr Zaitsev; Marcus Denker; Pablo Tesone (J. Object Technol., 2022)

Cormas: The Software for Participatory Modelling and Its Application for Managing Natural Resources in Senegal. - Oleksandr Zaitsev; François Vendel; Etienne Delay (Euro-Par Workshops, 2023)

Applying Convolutional Neural Network for Cancer Disease Diagnosis Based on Gene Expression Data. - Sergii Babichev; Ihor Liakh; Vasyl Morokhovych; Andrii Honcharuk; Anatolii Balanda; Oleksandr Zaitsev (IDDM, 2023)

Pharo DataFrame: Past, Present, and Future. - Larisa Safina; Oleksandr Zaitsev; Cyril Ferlicot-Delbecque; Papa Ibrahima Sow (IWST, 2023)