1. Papers reading¶

1 16:23 - 16:39 Rohan Rathore. Thesis: Explorative study of explainable artificial intelligence technique for sentiment analysis applied for English language. Supervisor: A.Kolonin. Presentation
2 16:39 - 16:58 Kirill Kalmutskiy. Thesis: Training of deep neural networks with incomplete training information on the example of recognition of tomographic images. Supervisor: V. Berikov Presentation
3 16:58 - 17:14 Kirill Lunev. Coursework: Exploring Sentiment Dynamics in Social Media. Supervisor: A. Kolonin Presentation
4 17:14 - 17:25 Mikhail Liz. Thesis: Quantitative processing of scanning probe microscopy image with deep learning techniques. Supervisor: A. Okunev Presentation
5 17:26 - 17:40 Rusnak Alexander. Thesis: Investigation of the possibility of generating neural network models for the generation of thematically and stylistically conditioned texts for low-resource languages. Supervisor: V. Barakhnin Presentation
6 17:40 - 17:57 Hami Ismail. Thesis: Recognition of different objects of oilfield infrastructure by machine learning methods. Supervisor: Dmitry Tailakov. Presentation
7 17:58 - 18:17 Maxim Kochanov. DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation https://arxiv.org/pdf/2006.04868.pdf. Presentation

Recorded video: https://youtu.be/Wsg0GIbXjSg

Attendance time report: attached