| Sms classification based on naive bayes classifier and apriori algorithm frequent itemset I Ahmed, D Guan, TC Chung International Journal of machine Learning and computing 4 (2), 183, 2014 | 88 | 2014 |
| Semi-supervised learning using frequent itemset and ensemble learning for SMS classification I Ahmed, R Ali, D Guan, YK Lee, S Lee, TC Chung Expert Systems with Applications 42 (3), 1065-1073, 2015 | 73 | 2015 |
| Diagnosis recommendation using machine learning scientific workflows I Ahmed, S Lu, C Bai, FA Bhuyan 2018 IEEE International Congress on Big Data (BigData Congress), 82-90, 2018 | 19 | 2018 |
| Predicting efficacy of therapeutic services for autism spectrum disorder using scientific workflows Fahima Amin Bhuyan, Shiyong Lu, Ishtiaq Ahmed, Jia Zhang Big Data (Big Data), 2017 IEEE International Conference on, 3847-3856, 2017 | 19* | 2017 |
| SecDATAVIEW: a secure big data workflow management system for heterogeneous computing environments S Mofrad, I Ahmed, S Lu, P Yang, H Cui, F Zhang Proceedings of the 35th Annual Computer Security Applications Conference …, 2019 | 11 | 2019 |
| A security framework for scientific workflow provenance access control policies FA Bhuyan, S Lu, R Reynolds, J Zhang, I Ahmed IEEE Transactions on Services Computing 15 (1), 97-109, 2019 | 10 | 2019 |
| LPOD: A local path based optimized scheduling algorithm for deadline-constrained big data workflows in the cloud C Bai, S Lu, I Ahmed, D Che, A Mohan 2019 IEEE International Congress on Big Data (BigDataCongress), 35-44, 2019 | 9 | 2019 |
| SEED: Confidential big data workflow scheduling with intel SGX under deadline constraints I Ahmed, S Mofrad, S Lu, C Bai, F Zhang, D Che 2020 IEEE International Conference on Services Computing (SCC), 108-115, 2020 | 8 | 2020 |
| Quality analysis for scientific workflow provenance access control policies F Bhuyan, S Lu, R Reynolds, I Ahmed, J Zhang 2018 IEEE International Conference on Services Computing (SCC), 261-264, 2018 | 6 | 2018 |
| Securing big data scientific workflows via trusted heterogeneous environments S Mofrad, I Ahmed, F Zhang, S Lu, P Yang, H Cui IEEE Transactions on Dependable and Secure Computing 19 (6), 4187-4203, 2021 | 5 | 2021 |
| Scheduling and securing big data workflows in the cloud with heterogeneous trusted execution environments I Ahmed Wayne State University, 2019 | 3 | 2019 |
| SGX-E2C2D: A Big Data Workflow Scheduling Algorithm for Confidential Cloud Computing I Ahmed, S Mofrad, S Lu, C Bai, F Zhang, D Che, FA Bhuyan University of Wayne State, Department of Computer Science, Tech. Rep 3, 2019 | 2 | 2019 |
| Offsetting obstacles of any shape for robot motion planning MNU Laskar, HH Viet, SY Choi, I Ahmed, S Lee, TC Chung Robotica 33 (4), 865-883, 2015 | | 2015 |
| Semi-supervised learning using frequent itemset and ensemble learning I Ahmed, R Ali, D Guan, YK Lee, S Lee, TC Chung | | 2014 |
| A novel semi-supervised learning for SMS classification I Ahmed, D Guan, T Chung 2014 International Conference on Machine Learning and Cybernetics 2, 856-861, 2014 | | 2014 |
| Minimax Self Playing Game Alquerque I Ahmed, D Guan, MNU Laskar, TC Chung Future Information Technology: FutureTech 2013, 197-203, 2014 | | 2014 |
| Modeling any obstacle shapes for motion planning of circular robots MNU Laskar, SY Choi, I Ahmed, TC Chung 2013 13th International Conference on Control, Automation and Systems (ICCAS …, 2013 | | 2013 |
Shiyong LuProfessor, Department of Computer Science, Wayne State UniversityAdresse e-mail validée de wayne.edu
