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Fatima Adilova

@fatima-adilova
OpenAlex
publications
35
citations
70
h-index
5
Publications per year
6
0
0
0
0
0
2
0
4
2
2
0
6
5
4
4
20112026

Affiliations

  • Academy of Sciences Republic of Uzbekistan

    1997–2026 · 17 publications

Publications35

  1. A comparative analysis of the ensemble methods for drug design

    Talk · AIP conference proceedings · PDF

    142021

  2. A review of telemedicine in Uzbekistan

    Article · Journal of Telemedicine and Telecare

    102005

  3. Spatial domain identification method based on multi-view graph convolutional network and contrastive learning

    Article · PLoS Computational Biology · PDF

    72025

  4. UZROBERTA: AN UZBEK LANGUAGE PRE-TRAINED MODEL

    Article · Universum Technical sciences · Open access

    52023

  5. Knowledge discovering from clinical data based on classification tasks solving.

    Article · PubMed

    52001

  6. Conceptual modelling for technology assessment of IT systems ‐ smart cards and health information systems

    Article · Kybernetes

    51997

  7. ON DISCRETE-TIME MODELS OF NETWORK WORM PROPAGATION GENERATED BY QUADRATIC OPERATORS

    Article · Mathematical Modelling and Analysis · PDF

    32023

  8. BERT-based drug structure presentation: A comparison of tokenizers

    Talk · AIP conference proceedings

    32023

  9. COVID-19 Severity Prediction in Patients Based on Anomaly Detection Approach

    Book chapter · Lecture notes in networks and systems

    32021

  10. Using Support Vector Regression in multi-target prediction of drug toxicity

    Talk · IEEE International Conference on Application of Information and Communication Technologies

    32020

  11. Comparison of the molecular descriptors efficiency in modeling the structure-activity relationship

    Talk · International Conference on Information Science and Communications Technologies

    32019

  12. UzRoberta: A pre-trained language model for Uzbek

    Talk · AIP conference proceedings · PDF

    22024

  13. An application of RNN to the inverse-QSAR problem

    Talk · International Conference on Information Science and Communications Technologies

    22019

  14. Data Set Analysis for the Calculation of the QSAR Models Predictive Efficiency Based on Activity Cliffs

    Article · Advanced Techniques in Biology & Medicine

    22017

  15. Модели машинного обучения в прогнозе сердечно-сосудистых заболеваний на бенчмарке мультиэтнических данных: обзор литературы

    Article · Кардиология в Беларуси · PDF

    12025

  16. Using the RoBERTa and T5 Models for Analyzing Texts in Uzbek: NER Tasks and Punctuation Prediction

    Talk · Communications in computer and information science · with Nilufar Abdurakhmonova

    12024

  17. Using machine learning algorithms to predict the activity of fullerene nanoparticles

    Talk · AIP conference proceedings

    12023

  18. Graph-based density-variation outlier removal for chronic disease prediction: A leakage-free benchmark and component-wise ablation

    Article · Results in Engineering · PDF

    —2026

  19. Monotonic System Framework for Globally Optimal Structuring of Complex Data

    Article · PDF

    —2026

  20. Boosting LLM Adaptation: Superior Stability and Convergence via OLoRA+ Across Diverse NLP Benchmarks

    Talk · International Siberian workshops and tutorials on electron devices and materials · Open access

    —2026

  21. Генерации графов заданной структуры: от глубоких нейронных сетей к квантовым моделям (на примере создания новых лекарств)

    Article · Problems of Computational and Applied Mathematics · PDF

    —2026

  22. Сравнительный анализ квантовых моделей в прогнозе сердечно-сосудистых заболеваний

    Article · Международный Журнал Теоретических и Прикладных Вопросов Цифровых Технологий · PDF

    —2025

  23. Почему квантовые вычисления– это будущее искусственного интеллекта?

    Article · Problems of Computational and Applied Mathematics · PDF

    —2025

  24. LoRA Effectiveness in Text Generalization Tasks: Comparison of T5 and uzT5 Models

    Talk · IEEE International Conference on Problems of Informatics, Electronics and Radio Engineering

    —2024