| Type4Py: Practical deep similarity learning-based type inference for Python AM Mir, E Latoškinas, S Proksch, G Gousios Proceedings of the 44th International Conference on Software Engineering …, 2022 | 91* | 2022 |
| KNN-based least squares twin support vector machine for pattern classification A Mir, JA Nasiri Applied Intelligence 48 (12), 4551-4564, 2018 | 41 | 2018 |
| Manytypes4py: A benchmark python dataset for machine learning-based type inference AM Mir, E Latoškinas, G Gousios 2021 IEEE/ACM 18th International Conference on Mining Software Repositories …, 2021 | 33 | 2021 |
| On the effect of transitivity and granularity on vulnerability propagation in the maven ecosystem AM Mir, M Keshani, S Proksch 2023 IEEE International Conference on Software Analysis, Evolution and …, 2023 | 29 | 2023 |
| An enhanced KNN-based twin support vector machine with stable learning rules JA Nasiri, AM Mir Neural computing and applications 32 (16), 12949-12969, 2020 | 12 | 2020 |
| A novel fusion based on the evolutionary features for protein fold recognition using support vector machines MS Refahi, A Mir, JA Nasiri Scientific Reports 10 (1), 14368, 2020 | 11 | 2020 |
| LightTwinSVM: A Simple and Fast Implementation of Standard Twin Support Vector Machine Classifier A Mir, JA Nasiri Journal of Open Source Software 4 (35), 1252, 2019 | 11 | 2019 |
| The Emergence of Large Language Models in Static Analysis: A First Look through Micro-Benchmarks APS Venkatesh, S Sabu, AM Mir, S Reis, E Bodden Proceedings of the 2024 IEEE/ACM First International Conference on AI …, 2024 | 5 | 2024 |
| Classification of learning styles using behavioral features and twin support vector machine J Nasiri, AM Mir, S Fatahi Technology of Education Journal (TEJ) 13 (2), 316-326, 2019 | 5 | 2019 |
| TypeEvalPy: A Micro-benchmarking Framework for Python Type Inference Tools AP Shivarpatna Venkatesh, S Sabu, J Wang, A M. Mir, L Li, E Bodden Proceedings of the 2024 IEEE/ACM 46th International Conference on Software …, 2024 | 4 | 2024 |
| On the Effectiveness of Machine Learning-based Call Graph Pruning: An Empirical Study AM Mir, M Keshani, S Proksch 2024 IEEE/ACM 21st International Conference on Mining Software Repositories …, 2024 | 3 | 2024 |
| LIBTwinSVM: A library for twin support vector machines AM Mir, M Rahbar, JA Nasiri arXiv preprint arXiv:2001.10073, 2020 | 1 | 2020 |
| Machine Learning-assisted Software Analysis SAM Mir | | 2025 |
| OriginPruner: Leveraging Method Origins for Guided Call Graph Pruning AM Mir, M Keshani, S Proksch arXiv preprint arXiv:2412.09110, 2024 | | 2024 |
| An Empirical Study of Large Language Models for Type and Call Graph Analysis A Prasad Shivarpatna Venkatesh, R Sunil, S Sabu, AM Mir, S Reis, ... arXiv e-prints, arXiv: 2410.00603, 2024 | | 2024 |
| Type4Py: Machine Learning-based Type Auto-completion for Python AM Mir, S Proksch, G Gousios International Summer School on Search-and Machine Learning-based Software …, 2022 | | 2022 |
| Automatic opinion mining of movie reviews using robust twin support vector machine [in Persian] A Mir, JA Nasiri 4th Iranian Conference on Computational Linguistics., 1-21, 2018 | | 2018 |
| Prediction of personality models in e-learning environments using twin support vector machine [in Persian] A Mir, S Fatahi, JA Nasiri 2nd International Conference on Knowledge-Based Research in Computer …, 2017 | | 2017 |
| Sentiment analysis of movie reviews using least squares twin support vector machine [in Persian] A Mir, JA Nasiri, S Fatahi 1st Conference on Participles of Electrical and Computer Engineering, 1-5, 2017 | | 2017 |
| Popescu, Răzvan-Mihai 74 Reis, Sofia 35 Sabu, Samkutty 35 Sangalay, Aseem 86 Shivarpatna Venkatesh, Ashwin E Bodden, G Catolino, C Cheng, FR Cogo, P de Bekker, G Deng, ... | | |
Jalal Nasiri - جلال الدین نصیریAssistant Professor of Computer science, Ferdowsi University of MashhadDirección de correo verificada de um.ac.ir
