Amir M. Mir

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Support Vector Machine

Top Venues

Publications

Ashwin Prasad Shivarpatna Venkatesh, Samkutty Sabu, Amir M. Mir, Sofia Reis, Eric Bodden
The Emergence of Large Language Models in Static Analysis: A First Look through Micro-Benchmarks. FORGE (2024)
Ashwin Prasad Shivarpatna Venkatesh, Samkutty Sabu, Jiawei Wang, Amir M. Mir, Li Li, Eric Bodden
TypeEvalPy: A Micro-benchmarking Framework for Python Type Inference Tools. ICSE Companion (2024)
Amir M. Mir, Mehdi Keshani, Sebastian Proksch
On the Effectiveness of Machine Learning-based Call Graph Pruning: An Empirical Study. MSR (2024)
Amir M. Mir, Mehdi Keshani, Sebastian Proksch
On the Effectiveness of Machine Learning-based Call Graph Pruning: An Empirical Study. CoRR (2024)
Ashwin Prasad Shivarpatna Venkatesh, Samkutty Sabu, Amir M. Mir, Sofia Reis, Eric Bodden
The Emergence of Large Language Models in Static Analysis: A First Look through Micro-Benchmarks. CoRR (2024)
Amir M. Mir, Mehdi Keshani, Sebastian Proksch
On the Effect of Transitivity and Granularity on Vulnerability Propagation in the Maven Ecosystem. CoRR (2023)
Amir M. Mir, Mehdi Keshani, Sebastian Proksch
On the Effect of Transitivity and Granularity on Vulnerability Propagation in the Maven Ecosystem. SANER (2023)
Ashwin Prasad Shivarpatna Venkatesh, Samkutty Sabu, Jiawei Wang, Amir M. Mir, Li Li, Eric Bodden
TypeEvalPy: A Micro-benchmarking Framework for Python Type Inference Tools. CoRR (2023)
Amir M. Mir, Evaldas Latoskinas, Sebastian Proksch, Georgios Gousios
Type4Py: Practical Deep Similarity Learning-Based Type Inference for Python. ICSE (2022)
Amir M. Mir, Evaldas Latoskinas, Sebastian Proksch, Georgios Gousios
Type4Py: Deep Similarity Learning-Based Type Inference for Python. CoRR (2021)
Amir M. Mir, Evaldas Latoskinas, Georgios Gousios
ManyTypes4Py: A Benchmark Python Dataset for Machine Learning-based Type Inference. CoRR (2021)
Amir M. Mir, Evaldas Latoskinas, Georgios Gousios
ManyTypes4Py: A Benchmark Python Dataset for Machine Learning-based Type Inference. MSR (2021)
Jalal A. Nasiri, Amir M. Mir
An enhanced KNN-based twin support vector machine with stable learning rules. Neural Comput. Appl. 32 (16) (2020)
Amir M. Mir, Mahdi Rahbar, Jalal A. Nasiri
LIBTwinSVM: A Library for Twin Support Vector Machines. CoRR (2020)
Amir M. Mir, Jalal A. Nasiri
LightTwinSVM: A Simple and Fast Implementation of Standard Twin Support Vector Machine Classifier. J. Open Source Softw. 4 (35) (2019)
Amir M. Mir, Jalal A. Nasiri
An enhanced KNN-based twin support vector machine with stable learning rules. CoRR (2019)
Amir M. Mir, Jalal A. Nasiri
KNN-based least squares twin support vector machine for pattern classification. Appl. Intell. 48 (12) (2018)