Макаров И.А. SwiftDepth: An Efficient Hybrid CNN-Transformer Model for Self-Supervised Monocular Depth Estimation on Mobile Devices. IEEE. 2023. pp. 642-647.
Макаров И.А. Dealing With Sparse Rewards Using Graph Neural Networks. IEEE Access. 2023. pp. 89180-89187.
Макаров И.А. Real-time low latency estimation of brain rhythms with deep neural networks. Journal of neural engineering. 2023.
Макаров И.А. Predicting Molecule Toxicity via Descriptor-based Graph Self-supervised Learning. IEEE Access. 2023. pp. 91842 - 91849.
Макаров И.А. MonoVAN: Visual Attention for Self-Supervised Monocular Depth Estimation. IEEE. 2023.
Макаров И.А. Comparative Analysis of Logic Reasoning and Graph Neural Networks for Ontology-Mediated Query Answering With a Covering Axiom. IEEE Access. 2023.
Макаров И.А. Temporal network embedding framework with causal anonymous walks representations. PeerJ Computer Science. 2022.
Макаров И.А. Exploration in Sequential Recommender Systems via Graph Representations. IEEE Access. 2022. pp. 123614 - 123621.
Макаров И.А. Exploring Efficiency of Vision Transformers for Self-Supervised Monocular Depth Estimation. IEEE. 2022. pp. 711-719.
Макаров И.А. SensorSCAN: Self-Supervised Learning and Deep Clustering for Fault Diagnosis in Chemical Processes. Artificial Intelligence. 2022.
Макаров И.А. Classifying emotions and engagement in online learning based on a single facial expression recognition neural network. IEEE Transactions on Affective Computing. 2022. Vol. 13. No. 4. pp. 2132-2143.
Макаров И.А. JONNEE: Joint Network Nodes and Edges Embedding. IEEE Access. 2021. pp. 144646 - 144659.
Макаров И.А. Depth Inpainting via Vision Transformer. IEEE. 2021.