The Investigation of Deep Data Representations Based on Decision Tree Ensembles for Classification Problems. - Pavel Druzhkov; Valentina Kustikova (AIST (Supplement), 2015)

Comparison of Deep Learning Libraries on the Problem of Handwritten Digit Classification. - Dmitry Kruchinin; Evgeny Dolotov; Kirill Kornyakov; Valentina Kustikova; Pavel Druzhkov (AIST, 2015)

Architecture of Middleware to Provide the Multiscale Modelling Using Coupling Templates. - Alexey Liniov; Valentina Kustikova; Alexander Sysoyev; Maxim Zhiltsov; Igor Polyakov; Denis A. Nasonov; Nikolay Butakov (RuSCDays, 2017)

CalciumCV: Computer Vision Software for Calcium Signaling in Astrocytes. - Valentina Kustikova; Mikhail Krivonosov; Alexey S. Pimashkin; Pavel Denisov; Alexey Zaikin; Mikhail Ivanchenko; Iosif B. Meyerov; Alexey V. Semyanov (AIST, 2018)

Intel Distribution of OpenVINO Toolkit: A Case Study of Semantic Segmentation. - Valentina Kustikova; Evgeny Vasiliev; Alexander Khvatov; Pavel Kumbrasiev; Ivan Vikhrev; Konstantin Utkin; Anton Dudchenko; Gleb Gladilov (AIST, 2019)

DLI: Deep Learning Inference Benchmark. - Valentina Kustikova; Evgenii Vasiliev; Alexander Khvatov; Pavel Kumbrasiev; Roman Rybkin; Nadezhda Kogteva (RuSCDays, 2019)

Educational Course "Introduction to Deep Learning Using the Intel neon Framework". - Valentina Kustikova; Nikolai Yu. Zolotykh; Maxim Zhiltsov (RuSCDays, 2019)

Case Study for Running Memory-Bound Kernels on RISC-V CPUs. - Valentin Volokitin; Evgeny Kozinov; Valentina Kustikova; Alexey Liniov; Iosif B. Meyerov (PaCT, 2023)

Improved vectorization of OpenCV algorithms for RISC-V CPUs. - Valentin Volokitin; Evgenii Vasiliev; Evgeny Kozinov; Valentina Kustikova; Alexei Liniov; Yury Rodimkov; Alexander Sysoyev; Iosif B. Meyerov (CoRR, 2023)

Vectorization of Gradient Boosting of Decision Trees Prediction in the CatBoost Library for RISC-V Processors. - Evgeny Kozinov; Evgeny Vasiliev; Andrey Gorshkov; Valentina Kustikova; Artem Maklaev; Valentin Volokitin; Iosif B. Meyerov (PPAM (2), 2024)