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. Predicting Molecule Toxicity via Descriptor-based Graph Self-supervised Learning. IEEE Access. 2023. pp. 91842 - 91849.
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. Exploration in Sequential Recommender Systems via Graph Representations. IEEE Access. 2022. pp. 123614 - 123621.
Макаров И.А. Temporal network embedding framework with causal anonymous walks representations. PeerJ Computer Science. 2022.
Макаров И.А. Exploring Efficiency of Vision Transformers for Self-Supervised Monocular Depth Estimation. IEEE. 2022. pp. 711-719.
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. SensorSCAN: Self-Supervised Learning and Deep Clustering for Fault Diagnosis in Chemical Processes. Artificial Intelligence. 2022.
Макаров И.А. Depth Inpainting via Vision Transformer. IEEE. 2021.
Макаров И.А. JONNEE: Joint Network Nodes and Edges Embedding. IEEE Access. 2021. pp. 144646 - 144659.