| Analyzing developer sentiment in commit logs V Sinha, A Lazar, B Sharif Proceedings of the 13th international conference on mining software …, 2016 | 131 | 2016 |
| Improving the accuracy of duplicate bug report detection using textual similarity measures A Lazar, S Ritchey, B Sharif Proceedings of the 11th Working Conference on Mining Software Repositories …, 2014 | 98 | 2014 |
| An eye-tracking study assessing the comprehension of C++ and Python source code R Turner, M Falcone, B Sharif, A Lazar Proceedings of the Symposium on Eye Tracking Research and Applications, 231-234, 2014 | 88 | 2014 |
| Heuristic knowledge discovery for archaeological data using genetic algorithms and rough sets A Lazar Heuristic and optimization for knowledge discovery, 263-278, 2002 | 72 | 2002 |
| Performance of a geometric deep learning pipeline for HL-LHC particle tracking X Ju, D Murnane, P Calafiura, N Choma, S Conlon, S Farrell, Y Xu, ... The European Physical Journal C 81, 1-14, 2021 | 65 | 2021 |
| Generating duplicate bug datasets A Lazar, S Ritchey, B Sharif Proceedings of the 11th working conference on mining software repositories …, 2014 | 57 | 2014 |
| Federated wireless network intrusion detection B Cetin, A Lazar, J Kim, A Sim, K Wu 2019 IEEE International Conference on Big Data (Big Data), 6004-6006, 2019 | 45 | 2019 |
| Income prediction via support vector machine. A Lazar ICMLA, 143-149, 2004 | 38 | 2004 |
| Feature selection improves tree-based classification for wireless intrusion detection S Bhandari, AK Kukreja, A Lazar, A Sim, K Wu Proceedings of the 3rd International Workshop on Systems and Network …, 2020 | 23 | 2020 |
| Accelerating the inference of the Exa. TrkX pipeline A Lazar, X Ju, D Murnane, P Calafiura, S Farrell, Y Xu, M Spiropulu, ... Journal of Physics: Conference Series 2438 (1), 012008, 2023 | 13 | 2023 |
| Simulating the evolution of archaic states RG Reynolds, A Lazar Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat …, 2002 | 13 | 2002 |
| Machine learning for prediction of mid to long term habitual transportation mode use A Lazar, A Ballow, L Jin, CA Spurlock, A Sim, K Wu 2019 IEEE International Conference on Big Data (Big Data), 4520-4524, 2019 | 11 | 2019 |
| Sparsity based noise removal from low dose scanning electron microscopy images PF Alina Lazar Computational Imaging XIII. 9401, 940105, 2015 | 11* | 2015 |
| Decision rule extraction from trained neural networks using rough sets A Lazar, IK Sethi Intelligent Engineering Systems Through Artificial Neural Networks 9, 493-498, 1999 | 10 | 1999 |
| Data quality challenges with missing values and mixed types in joint sequence analysis A Lazar, L Jin, CA Spurlock, K Wu, A Sim 2017 IEEE International Conference on Big Data (Big Data), 2620-2627, 2017 | 9 | 2017 |
| Comparing machine learning classification schemes-a GIS approach A Lazar, BA Shellito Fourth International Conference on Machine Learning and Applications (ICMLA …, 2005 | 9 | 2005 |
| Evaluating the effects of missing values and mixed data types on social sequence clustering using t-SNE visualization A Lazar, L Jin, CA Spurlock, K Wu, A Sim, A Todd Journal of Data and Information Quality (JDIQ) 11 (2), 1-22, 2019 | 8 | 2019 |
| Epistemic structured representation for legal transcript analysis T Hughes, C Hughes, A Lazar Advances in computer and information sciences and engineering, 101-107, 2008 | 8 | 2008 |
| Evolution-based learning of ontological knowledge for a large-scale multi-agent simulation A Lazar, RG Reynolds Information Processing with Evolutionary Algorithms: From Industrial …, 2002 | 8 | 2002 |
| Clustering life course to understand the heterogeneous effects of life events, gender, and generation on habitual travel modes L Jin, A Lazar, J Sears, A Todd-Blick, A Sim, K Wu, HC Yang, CA Spurlock IEEE Access 8, 190964-190980, 2020 | 7 | 2020 |
Kesheng WuLawrence Berkeley National Laboratory在 lbl.gov 的电子邮件经过验证
