Evolvable Semantic Platform for Facilitating Knowledge Exchange. - Nikolay Karpov; Eduard Babkin; Alexander Demidovskij (AIST (Supplement), 2016)

Development of a Model to Predict Intention Using Deep Learning. - Nikolay Karpov; Alexander Demidovskij; Alexey Malafeev (AIST (Supplement), 2017)

Hybrid neural network and bi-criteria tabu-machine: comparison of new approaches to maximum clique problem. - Eduard Babkin; Tatiana Babkina; Alexander Demidovskij (Int. J. Big Data Intell., 2018)

Implementation Aspects of Tensor Product Variable Binding in Connectionist Systems. - Alexander Demidovskij (IntelliSys (1), 2019)

OpenVINO Deep Learning Workbench: A Platform for Model Optimization, Analysis and Deployment. - Alexander Demidovskij; Artyom Tugaryov; Alexander Suvorov; Yaroslav Tarkan; Marat Fatekhov; Igor Salnikov; Andrey Kashchikhin; Vladimir Golubenko; Galina Dedyukhina; Alina Alborova; Ryan Palmer; Mikhail Fedorov; et al. (ICTAI, 2020)

Effective Post-Training Quantization Of Neural Networks For Inference on Low Power Neural Accelerator. - Alexander Demidovskij; Eugene Smirnov (IJCNN, 2020)

Designing a Neural Network Primitive for Conditional Structural Transformations. - Alexander Demidovskij; Eduard Babkin (RCAI, 2020)

Designing Sustainable Digitalization: Crisisology-Based Tradeoff Optimization in Sociotechnical Systems. - Sergey V. Zykov; Eduard Babkin; Boris Ulitin; Alexander Demidovskiy (KES-IDT, 2023)

ALOE: Boosting Large Language Model Fine-Tuning with Aggressive Loss-Based Elimination of Samples. - Alexander Demidovskij; Aleksei Trutnev; Artyom Tugaryov; Igor Salnikov (ECAI, 2024)