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Fatima Аdilova

Observed names: Adilova F.T., Adilova Fatima T., F T Adilova, Fatima Adilova, Fatima T. Adilova, Ф. Адылова, Ф.Т. Адилова, Ф.Т. Адылова, Фатима Адилова
ORCID: 0000-0002-8607-6676
Observed ORCID: 0000-0002-8607-6676
OpenAlex ID: A5038025618
A comparative analysis of the ensemble methods for drug design
2021 · Rifkat Davronov, Fatima Adilova · AIP conference proceedings · 14
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A review of telemedicine in Uzbekistan
2005 · Charles R Doarn, Fatima Adilova, et al. · Journal of Telemedicine and Telecare · 10
Spatial domain identification method based on multi-view graph convolutional network and contrastive learning
2025 · Xikeng Liang, Shutong Xiao, et al. · PLoS Computational Biology · 7
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Uzroberta: an Uzbek Language Pre-trained Model
2023 · Fatima Adilova, Rifqat Davronov, et al. · Universum Technical sciences · 5
Knowledge discovering from clinical data based on classification tasks solving.
2001 · N A Ignat'ev, F T Adilova, et al. · PubMed · 5
Conceptual modelling for technology assessment of IT systems ‐ smart cards and health information systems
1997 · Bernd R. Hornung, Fatima T. Adilova · Kybernetes · 5
On Discrete-time Models of Network Worm Propagation Generated by Quadratic Operators
2023 · Fatima Adilova, Uygun Jamilov, et al. · Mathematical Modelling and Analysis · 3
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BERT-based drug structure presentation: A comparison of tokenizers
2023 · Rifkat Davronov, Fatima Adilova · AIP conference proceedings · 3
COVID-19 Severity Prediction in Patients Based on Anomaly Detection Approach
2021 · Alisher Ikramov, Fatima Adilova, et al. · Lecture notes in networks and systems · 3
Using Support Vector Regression in multi-target prediction of drug toxicity
2020 · Fatima Adilova, Alisher Ikramov · IEEE International Conference on Application of Information and Communication Technologies (AICT) · 3
Comparison of the molecular descriptors efficiency in modeling the structure-activity relationship
2019 · Fatima Adilova, Bakhtiyor Rasulev, et al. · International Conference on Information Science and Communications Technologies (ICISCT) · 3
UzRoberta: A pre-trained language model for Uzbek
2024 · Rifkat Davronov, Fatima Adilova · AIP conference proceedings · 2
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An application of RNN to the inverse-QSAR problem
2019 · Alisher Ikramov, Fatima Adilova · International Conference on Information Science and Communications Technologies (ICISCT) · 2
Data Set Analysis for the Calculation of the QSAR Models Predictive Efficiency Based on Activity Cliffs
2017 · Fatima Adilova, Alisher Ikramov · Advanced Techniques in Biology & Medicine · 2
Модели машинного обучения в прогнозе сердечно-сосудистых заболеваний на бенчмарке мультиэтнических данных: обзор литературы
2025 · Ф.Т. Адылова, Р.Х. Тригулова · Кардиология в Беларуси · 1
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Using the RoBERTa and T5 Models for Analyzing Texts in Uzbek: NER Tasks and Punctuation Prediction
2024 · Fatima Аdilova, Rifqat Davronov, et al. · Communications in computer and information science · 1
Using machine learning algorithms to predict the activity of fullerene nanoparticles
2023 · Alisher Ikramov, Bakhtiyor Rasulev, et al. · AIP conference proceedings · 1
Graph-based density-variation outlier removal for chronic disease prediction: A leakage-free benchmark and component-wise ablation
2026 · Rifkat R. Davronov, Fatima T. Adilova · Results in Engineering
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Monotonic System Framework for Globally Optimal Structuring of Complex Data
2026 · Fatima T. Adilova, Rifqat R. Davronov, et al.
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Boosting LLM Adaptation: Superior Stability and Convergence via OLoRA+ Across Diverse NLP Benchmarks
2026 · Samariddin Kushmuratov, Fatima Adilova, et al. · International Siberian workshops and tutorials on electron devices and materials
Генерации графов заданной структуры: от глубоких нейронных сетей к квантовым моделям (на примере создания новых лекарств)
2026 · Ф.Т. Адылова, Р.Р. Давронов · Problems of Computational and Applied Mathematics
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Сравнительный анализ квантовых моделей в прогнозе сердечно-сосудистых заболеваний
2025 · Ф.Т. Адилова, Р.Р. Давронов · Международный Журнал Теоретических и Прикладных Вопросов Цифровых Технологий
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Почему квантовые вычисления– это будущее искусственного интеллекта?
2025 · Ф.Т. Адылова · Problems of Computational and Applied Mathematics
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LoRA Effectiveness in Text Generalization Tasks: Comparison of T5 and uzT5 Models
2024 · Fatima Adilova, Rifqat Davronov, et al. · IEEE International Conference on Problems of Informatics, Electronics and Radio Engineering (PIERE)
Эффективность Lora в задачах обобщения текстов: сравнение моделей T5 и uzT5
2024 · Фатима Адилова, Рифкат Давронов, et al. · Международный Журнал Теоретических и Прикладных Вопросов Цифровых Технологий
Works count: 35
Citation count: 70
H-index: 5
I10-index: 2
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