Results 21 to 30 of about 222 (65)
Нейросетевой подход к ИИ, получивший особенно широкое распространение в последнее десятилетие, обладает двумя существенными ограничениями – обучение моделей, как правило, требует очень большого количества образцов (не всегда доступных), а получающиеся ...
Nikolay Shilov +2 more
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Рак молочной железы остаётся ведущей причиной онкологической заболеваемости и смертности среди женщин в мире и особенно в Российской Федерации, где наблюдается тенденция к «омоложению» заболевания.
Фролов С.А. +1 more
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Аналитический обзор систем автоматического определения депрессии по речи
В последние годы в медицинской и научно-технической среде возрос интерес к задаче автоматического определения наличия депрессивного состояния у людей. Депрессия является одним из самых распространенных психических заболеваний, непосредственно влияющих на
Alena Velichko, Alexey Karpov
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Classification of multiple sclerosis lesion through Deep Learning analysis of MRI images
Multiple Sclerosis (MS) is a progressive autoimmune disease affecting the central nervous system, causing communication disruptions between the brain and the body. Early and accurate detection of MS lesions in brain Magnetic Resonance Imaging (MRI) scans
M. Divya, J. Dhilipan, A. Saravanan
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Multi-task human’s psychological profile analysis based on text data using semi-supervised learning
Multi-task analysis of a human’s psychological profile enables a more holistic representation of the individual, which is particularly valuable in personalization systems, HR technologies, and human–Artificial Intelligence interaction.
D. O. Koryakovskaya +3 more
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Unified Classification Model for Geotagging Websites
The paper presents a novel approach to finding regional scopes (geotagging) of websites. Unlike the traditional approaches, which generally involve training a separate classification model for each class (region), the proposed method is based on training
A. N. Volkov
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Natural language based malicious domain detection using machine learning and deep learning
Cyberattacks are still challenging since they are increasing day by day. Cybercriminals employ a variety of strategies to manipulate and exploit their targets vulnerabilities.
Raja Saleem +3 more
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В статье рассматриваются возможности и методологические основания интеграции методов машинного обучения в социологический анализ клиентского опыта на рынке юридических услуг. На примере корпуса LegalBench learned_hands_consumer (620 текстов жалоб)
Трунова Екатерина Александровна +2 more
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A survey of network intrusion detection systems based on deep learning approaches
Currently, most IT organizations are inclined towards a cloud computing environment because of its distributed and scalable nature. However, its flexible and open architecture is receiving lots of attention from potential intruders for cyber threats ...
D. Al-Safaar, W. Al-Yaseen
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Prospects of machine learning applications in affective disorders
Mental disorders are a significant medical and social issue globally. Currently, approximately 970 million individuals suffer from mental disorders, with over 300 million diagnosed with depression or bipolar disorder. Recently, there has been significant
Ekaterina S. Mosolova +3 more
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