Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.
Andrey Vorchik studies happiness, delivers popular science lectures, and believes that science should address social issues as well. In an interview for the Young Scientists of HSE University project, he spoke about how emotions influence decision-making, the Bermuda Triangle formed by the bathroom, refrigerator, and bed, and the ideal formula for education.
Терещенко С. Н., Perov A., Осипов А. Л., Siberian Journal of Life Sciences and Agriculture 2021 Т. 13 № 1 С. 144–155
Background.
Development of a convolutional neural network model for detecting cassava diseases from a mobile phone photo.
Materials and methods. The material for the research was taken images with various types of cassava diseases, published in open access of the Kaggle platform.
Research methods: theory of design and development of information systems, programming, methods of augmentation and extension ...
Арефьева В.А., В кн.: Мы продолжаем традиции российской статистики: сб. докладов международ. научно-практ. конф "1 Открытый российский статистический конгресс" (Новосибирск, 20-22 октября 2015 г.)Т. 3: Молодые статистики.: Новосибирск: НГУЭУ, 2015.
Выборочные данные по урожайности культур, полученные при проведении длительных агрономических исследований, представляют собой динамический временной ряд, охватывающий обширную вариацию метеоусловий, и учитывают распределение риска снижения урожайности во времени и уровень ее динамики. В этой связи, указанные данные было предложено использовать в качестве исходной информации для обоснования тарифов страхования урожайности посевов. ...