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Amir M. Mir
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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
64*2022
KNN-based least squares twin support vector machine for pattern classification
A Mir, JA Nasiri
Applied Intelligence 48 (12), 4551-4564, 2018
362018
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
242021
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
112020
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
92020
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
92019
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
82023
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
42019
TypeEvalPy: A Micro-benchmarking Framework for Python Type Inference Tools
APS Venkatesh, S Sabu, J Wang, AM Mir, L Li, E Bodden
arXiv preprint arXiv:2312.16882, 2023
12023
LIBTwinSVM: A library for twin support vector machines
AM Mir, M Rahbar, JA Nasiri
arXiv preprint arXiv:2001.10073, 2020
12020
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
arXiv preprint arXiv:2402.17679, 2024
2024
On the Effectiveness of Machine Learning-based Call Graph Pruning: An Empirical Study
AM Mir, M Keshani, S Proksch
arXiv preprint arXiv:2402.07294, 2024
2024
The Emergence of Large Language Models in Static Analysis: A First Look through Micro-Benchmarks
A Prasad Shivarpatna Venkatesh, S Sabu, AM Mir, S Reis, E Bodden
arXiv e-prints, arXiv: 2402.17679, 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
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Artículos 1–17