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Issue DateTitleAuthor(s)
2023Human physical activity recognition algorithm based on smartphone sensor data and convolutional neural networkWan, Z. W.
2023Hyperparameters Optimization of Ensemble-based Methods for Retina Image ClassificationLukashevich, M.
2023Image Segmentation Approaches Applied for the Earth's SurfaceKypriyanava, D.; Pertsau, D.; Tatur, M.
2022Imbalanced data classification algorithmGuo, Quang; Geman, O. V.
2024Intelligent Analysis in Text Authorship IdentificationTrukhanovich, I.; Paramonov, A.
2018Intelligent data analysis: from theory to practiceTatur, M. M.; Iskra, N. A.
2023Introduction to neural networks and deep learningБоброва, Н. Л.; Стецко, В. Ю.; Харкевич, А. П.
2023IT diagnostics of Parkinson's disease based on voice markers and decreased motor activityVishniakou, U. A.; Yiwei, X.
2023IT Diagnostics of Parkinson’s Disease Based on the Analysis of Voice Markers and Machine LearningVishniakou, U. A.; YiWei Xia
2022Machine learning algorithms in pair tradingSviridenko, E. V.; Filipchenkov, V. D.; Zuyonok, R. V.
2019Machine learning and lambda architecture methods application to optimize postgresql database performanceSharayeu, Y.
2019Machine learning in automated text categorizationBartosh, V. I.
2023Methodics and tools of cough sound processing on basic of neural netVishniakou, U. А.; Shaya, B. H.
2023Methodology for Solving High-dimensional Multi-Parameter Inverse Problems of Indirect MeasurementsDolenko, S.; Isaev, I.; Burikov, S.; Dolenko, T.; Obornev, E.; Shimelevich, M.
2015Motivation of modeling commonsense reasoning processNaidenova, X. A.
2023Multi-country analysis of the COVID-19 pandemic typology using machine learning and neural network algorithmsMalugin, V.; Sergeev, A.; Solomevich, A.
2023Neural networks: forecasting economic time seriesKadushkevich, D. R.
2023Presentation and processing of data for the diagnoticss of neurological diseasesVishnyakov, V. A.; Yu ChuYue; Xia YiWei
2022Problems of deep machine learningZiulkovskiy, A. A.
2024Problems of Privacy and Heterogeneity for Federated Learning Applications in Medical Image AnalysisHimbitski, A.; Zelenkovsky, V.; Zhydovich, M.; Kovalev, V.