| Mixture of latent multinomial naive Bayes classifier NS Harzevili, SH Alizadeh Applied Soft Computing 69, 516-527, 2018 | 61 | 2018 |
| CLEAR: contrastive learning for API recommendation M Wei, NS Harzevili, Y Huang, J Wang, S Wang Proceedings of the 44th International Conference on Software Engineering …, 2022 | 34 | 2022 |
| Analysis and modeling conditional mutual dependency of metrics in software defect prediction using latent variables NS Harzevili, SH Alizadeh Neurocomputing 460, 309-330, 2021 | 30 | 2021 |
| Multi independent latent component extension of naive Bayes classifier SH Alizadeh, A Hediehloo, NS Harzevili Knowledge-based systems 213, 106646, 2021 | 22 | 2021 |
| Characterizing and understanding software security vulnerabilities in machine learning libraries NS Harzevili, J Shin, J Wang, S Wang, N Nagappan 2023 IEEE/ACM 20th International Conference on Mining Software Repositories …, 2023 | 12 | 2023 |
| A Survey on Automated Software Vulnerability Detection Using Machine Learning and Deep Learning NS Harzevili, AB Belle, J Wang, S Wang, Z Ming, N Nagappan arXiv preprint arXiv:2306.11673, 2023 | 4 | 2023 |
| API recommendation for machine learning libraries: how far are we? M Wei, Y Huang, J Wang, J Shin, NS Harzevili, S Wang Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022 | 4 | 2022 |
| SkipAnalyzer: An Embodied Agent for Code Analysis with Large Language Models MM Mohajer, R Aleithan, NS Harzevili, M Wei, AB Belle, HV Pham, ... arXiv preprint arXiv:2310.18532, 2023 | 3 | 2023 |
| Automatic static bug detection for machine learning libraries: Are we there yet? J Shin, J Wang, S Wang, N Nagappan arXiv preprint arXiv:2307.04080, 2023 | 2 | 2023 |
| Demystifying and Detecting Misuses of Deep Learning APIs M Wei, NS Harzevili, YK Huang, J Yang, J Wang, S Wang Proceedings of the IEEE/ACM 46th International Conference on Software …, 2024 | 1 | 2024 |
| Automatic Static Vulnerability Detection for Machine Learning Libraries: Are We There Yet? NS Harzevili, J Shin, J Wang, S Wang, N Nagappan 2023 IEEE 34th International Symposium on Software Reliability Engineering …, 2023 | 1 | 2023 |
| A Survey on Query-based API Recommendation M Wei, NS Harzevili, AB Belle, J Wang, L Shi, S Wang, ZM Jiang arXiv preprint arXiv:2312.10623, 2023 | | 2023 |
| An Empirical Study on the Stability of Explainable Software Defect Prediction J Shin, R Aleithan, J Nam, J Wang, NS Harzevili, S Wang 2023 30th Asia-Pacific Software Engineering Conference (APSEC), 141-150, 2023 | | 2023 |
| Benchmarking Deep Learning Fuzzers NS Harzevili, HV Pham, S Wang arXiv preprint arXiv:2310.06912, 2023 | | 2023 |
| A First Look at Fairness of Machine Learning Based Code Reviewer Recommendation MM Mohajer, AB Belle, J Wang, H Hemmati, S Wang, Z Ming arXiv preprint arXiv:2307.11298, 2023 | | 2023 |
| Automatic Unit Test Generation for Deep Learning Frameworks based on API Knowledge A Narayanan, J Wang, L Shi, M Wei, S Wang arXiv preprint arXiv:2307.00404, 2023 | | 2023 |
| Security Knowledge-Guided Fuzzing of Deep Learning Libraries NS Harzevili, HV Pham, S Wang arXiv preprint arXiv:2306.03269, 2023 | | 2023 |
| Relaxing Pairwise Conditional Dependency of NB Attributes using Hidden Variables SH Alizadeh, NS Harzevili, A Hediehloo, H Zare 2020 10th International Symposium onTelecommunications (IST), 116-122, 2020 | | 2020 |
Song WangAssistant Professor at York University, CanadaVerified email at eecs.yorku.ca
