6 citations · 6 across the 3 of their papers we have counts for
3 papers
Application of Deep Learning Methods to Processing of Noisy Medical Video Data
Danil Afonchikov, Elena Kornaeva, Irina Makovik +1
Cells count become a challenging problem when the cells move in a continuous stream, and their boundaries are difficult for visual detection. To resolve this problem we modified th…
Awareness of uncertainty in classification using a multivariate model and multi-views
Alexey Kornaev, Elena Kornaeva, Oleg Ivanov +2
One of the ways to make artificial intelligence more natural is to give it some room for doubt. Two main questions should be resolved in that way. First, how to train a model to es…
Cross-Modal Conceptualization in Bottleneck Models
Danis Alukaev, Semen Kiselev, Ilya Pershin +4
Concept Bottleneck Models (CBMs) assume that training examples (e.g., x-ray images) are annotated with high-level concepts (e.g., types of abnormalities), and perform classificatio…