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Hierarchical multispectral image classification based on self organized maps
Saveliev A., Dobrinin D.
could be done with any precision, the atmospheric correction for a set of images is a very complex task
Application of Solutions of Uncorrected Tasksʼ Theory for Managing of Production Processesʼ Robustness
Serenkov, P. S., Romanchak, V. M., Pesliak, I. E.
in production processes in accordance with the classification of the signs of incorrect tasks by J. Adamar. We
ON TRANSFER LEARNING METHODS IN BIOMEDICAL IMAGES CLASSIFICATION TASKS [О МЕТОДАХ ПЕРЕНОСА ГЛУБОКОГО ОБУЧЕНИЯ В ЗАДАЧАХ КЛАССИФИКАЦИИ БИОМЕДИЦИНСКИХ ИЗОБРАЖЕНИЙ]
Shchetinin E.Yu., Sevastianov L.A.
learning models. For Xception model, the accuracy of classification of MRI-scans with brain tumors was 96
A supervised approach for SentiRuEval task on sentiment analysis of tweets about telecom and financial companies
Tutubalina E., Zagulova M., Ivanov V., Malykh V.
This paper describes a supervised approach for solving a task on sentiment analysis of tweets about
Using neural networks in pattern recognition tasks
Marchenko N.R., Vinogradov A.N.
. Thanks to them it was succeeded to solve and simplify a set of tasks which were very difficult
The fourier series model for predicting sapflow density flux based on treetalker monitoring system
Efrosinin D., Kochetkova I., Stepanova N., Yarovslavtsev A., Samouylov K., Valentini R.
tasks on data prediction and classification. This paper deals with data sets generated by a new tree
Unified (Russian) state exam in English: Reading comprehension tasks
Solnyshkina M., Harkova E., Kiselnikov A.
Comprehension Tasks utilized in preparation for Unified (Russian) State Exam. The corpus of reading tasks
Tweets classification and sentiment analysis for personalized tweets recommendation
Khattak A.M.
challenging task. The proposed research builds user profile using Twitter data which is later helpful
Unified (Russian) state exam in English: Reading comprehension tasks
Solnyshkina M., Harkova E., Kiselnikov A.
Comprehension Tasks utilized in preparation for Unified (Russian) State Exam. The corpus of reading tasks
Interactive attention network for adverse drug reaction classification
this problem as a binary classification task. We show the effectiveness of this method on a number of publicly

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