| 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 | 146 | 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 | 109* | 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 | 99 | 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 | 58 | 2021 |
| Memorization and Generalization in Neural Code Intelligence Models MRI Rabin, A Hussain, VJ Hellendoorn, MA Alipour Information and Software Technology (IST) 153 (107066), 2023 | 37 | 2023 |
| COVID-19: Social media sentiment analysis on reopening ME Ahmed, MRI Rabin, FN Chowdhury arXiv preprint arXiv:2006.00804, 2020 | 37 | 2020 |
| Testing Neural Program Analyzers MRI Rabin, K Wang, MA Alipour ASE 2019 Late Breaking Results, 2019 | 29* | 2019 |
| 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 | 26 | 2020 |
| 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 | 20* | 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 | 10 | 2022 |
| Trojans in Large Language Models of Code: A Critical Review through a Trigger-Based Taxonomy A Hussain, MRI Rabin, T Ahmed, B Xu, P Devanbu, MA Alipour arXiv preprint arXiv:2405.02828, 2024 | 8* | 2024 |
| 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 | 7 | 2024 |
| TrojanedCM: A Repository of Trojaned Large Language Models of Code A Hussain, MRI Rabin, MA Alipour arXiv preprint arXiv:2311.14850, 2023 | 6* | 2023 |
| 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 | 6 | 2021 |
| 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 | 5 | 2023 |
| 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 | 5 | 2023 |
| FeatureExtractor: A tool for extracting key input features of code intelligence models MRI Rabin, MA Alipour Software Impacts 14, 100432, 2022 | 5 | 2022 |
| Measuring Impacts of Poisoning on Model Parameters and Embeddings for Large Language Models of Code A Hussain, MRI Rabin, MA Alipour AIware'24: The 1st ACM International Conference on AI-powered Software (Co …, 2024 | 3* | 2024 |
Mohammad Amin AlipourUniversity of HoustonVerified email at cs.uh.edu
