Adaptive weighted fuzzy rule-based system for the risk level assessment of heart disease AK Paul, PC Shill, MRI Rabin, K Murase Applied Intelligence 48, 1739-1756, 2018 | 143 | 2018 |
On the generalizability of Neural Program Models with respect to semantic-preserving program transformations MRI Rabin, NDQ Bui, K Wang, Y Yu, L Jiang, MA Alipour Information and Software Technology (IST); Journal First Track of SANER'22 …, 2021 | 100* | 2021 |
Genetic algorithm based fuzzy decision support system for the diagnosis of heart disease AK Paul, PC Shill, MRI Rabin, MAH Akhand 2016 5th International Conference on Informatics, Electronics and Vision …, 2016 | 95 | 2016 |
Understanding Neural Code Intelligence Through Program Simplification MRI Rabin, VJ Hellendoorn, MA Alipour ESEC/FSE'21: Proceedings of the 29th ACM Joint European Software Engineering …, 2021 | 48 | 2021 |
COVID-19: Social media sentiment analysis on reopening ME Ahmed, MRI Rabin, FN Chowdhury arXiv preprint arXiv:2006.00804, 2020 | 36 | 2020 |
Memorization and Generalization in Neural Code Intelligence Models MRI Rabin, A Hussain, VJ Hellendoorn, MA Alipour Information and Software Technology (IST) 153 (107066), 2023 | 30 | 2023 |
Towards demystifying dimensions of source code embeddings MRI Rabin, A Mukherjee, O Gnawali, MA Alipour RL+SE&PL'20: Proceedings of the 1st ACM SIGSOFT International Workshop on …, 2020 | 23 | 2020 |
Testing Neural Program Analyzers MRI Rabin, K Wang, MA Alipour ASE 2019 Late Breaking Results, 2019 | 22* | 2019 |
Syntax-Guided Program Reduction for Understanding Neural Code Intelligence Models MRI Rabin, A Hussain, MA Alipour MAPS'22: Proceedings of the 6th ACM SIGPLAN International Symposium on …, 2022 | 17* | 2022 |
Fuzzy membership function generation using DMS-PSO for the diagnosis of heart disease AK Paul, PC Shill, MRI Rabin, A Kundu, MAH Akhand 2015 18th International Conference on Computer and Information Technology …, 2015 | 17 | 2015 |
Code2Snapshot: Using Code Snapshots for Learning Representations of Source Code MRI Rabin, MA Alipour ICMLA'22: The 21th IEEE International Conference on Machine Learning and …, 2022 | 11 | 2022 |
ProgramTransformer: A tool for generating semantically equivalent transformed programs MRI Rabin, MA Alipour Software Impacts 14, 100429, 2022 | 9 | 2022 |
Configuring Test Generators using Bug Reports: A Case Study of GCC Compiler and Csmith MRI Rabin, MA Alipour SAC-SVT'21: Proceedings of the 36th Annual ACM Symposium on Applied …, 2021 | 5 | 2021 |
A Survey of Trojans in Neural Models of Source Code: Taxonomy and Techniques A Hussain, MRI Rabin, T Ahmed, B Xu, P Devanbu, MA Alipour arXiv preprint arXiv:2305.03803 (under submission), 2023 | 4 | 2023 |
FeatureExtractor: A tool for extracting key input features of code intelligence models MRI Rabin, MA Alipour Software Impacts 14, 100432, 2022 | 4 | 2022 |
Study of Distractors in Neural Models of Code MRI Rabin, A Hussain, S Suneja, MA Alipour InteNSE'23: The 1st International Workshop on Interpretability and …, 2023 | 3 | 2023 |
K-CONFIG: Using Failing Test Cases to Generate Test Cases in GCC Compilers MRI Rabin, MA Alipour ASE 2019 Late Breaking Results, 2019 | 3 | 2019 |
TrojanedCM: A Repository for Poisoned Neural Models of Source Code A Hussain, MRI Rabin, MA Alipour arXiv preprint arXiv:2311.14850, 2023 | 2 | 2023 |
Quality and Trust in LLM-generated Code C Spiess, D Gros, KS Pai, M Pradel, MRI Rabin, S Jha, P Devanbu, ... arXiv preprint arXiv:2402.02047, 2024 | 1 | 2024 |
Occlusion-based Detection of Trojan-triggering Inputs in Large Language Models of Code A Hussain, MRI Rabin, T Ahmed, MA Alipour, B Xu arXiv preprint arXiv:2312.04004, 2023 | 1 | 2023 |