Davronov Rifqat Rahimovich
👨🏫 Katta ilmiy xodim 🎓 05.01.02 − Tizimli tahlil, boshqaruv va axborotni qayta ishlash
🏢 Xona raqami : 305
📧 Email: rifqat@gmail.com
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Google Scholar maqolalari (Batafsil)
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Scopus maqolalari (Batafsil)
| Title | Publication | Date | DOI | Cited by |
|---|---|---|---|---|
| UzRoberta: A Pre-Trained Language Model for Uzbek | Aip Conference Proceedings | 2024 | 10.1063/5.0199871 | 3 |
| Comparative Analysis of QSAR Feature Selection Methods | Aip Conference Proceedings | 2024 | 10.1063/5.0199872 | 0 |
| LoRA Effectiveness in Text Generalization Tasks: Comparison of T5 and uzT5 Models | Proceedings of the IEEE 3rd International Conference on Problems of Informatics Electronics and Radio Engineering Piere 2024 | 2024 | 10.1109/PIERE62470.2024.10805019 | 0 |
| Using the RoBERTa and T5 Models for Analyzing Texts in Uzbek: NER Tasks and Punctuation Prediction | Communications in Computer and Information Science | 2024 | 10.1007/978-3-031-72260-8_7 | 0 |
| BERT-Based Drug Structure Presentation: A Comparison of Tokenizers | Aip Conference Proceedings | 2023 | 10.1063/5.0144799 | 3 |
| A comparative analysis of the ensemble methods for drug design | Aip Conference Proceedings | 2021 | 10.1063/5.0057487 | 4 |
| Predicting the activity and properties of chemicals based on RoBERTa | International Conference on Information Science and Communications Technologies Applications Trends and Opportunities Icisct 2021 | 2021 | 10.1109/ICISCT52966.2021.9670046 | 1 |
| Application of transformer model architecture in the new drugs design | International Conference on Information Science and Communications Technologies Applications Trends and Opportunities Icisct 2021 | 2021 | 10.1109/ICISCT52966.2021.9670309 | 2 |
| Mathematical modeling of refractive index based on machine learning (kNN-QSPR) method | 14th IEEE International Conference on Application of Information and Communication Technologies Aict 2020 Proceedings | 2020 | 10.1109/AICT50176.2020.9368648 | 0 |
| Comparison of the molecular descriptors efficiency in modeling the structure-activity relationship | International Conference on Information Science and Communications Technologies Applications Trends and Opportunities Icisct 2019 | 2019 | 10.1109/ICISCT47635.2019.9011916 | 2 |