| Scalable deep traffic flow neural networks for urban traffic congestion prediction M Fouladgar, M Parchami, R Elmasri, A Ghaderi 2017 international joint conference on neural networks (IJCNN), 2251-2258, 2017 | 172 | 2017 |
| A survey on spatial, temporal, and spatio-temporal database research and an original example of relevant applications using SQL ecosystem and deep learning K Jitkajornwanich, N Pant, M Fouladgar, R Elmasri Journal of information and telecommunication 4 (4), 524-559, 2020 | 30 | 2020 |
| A survey of spatio-temporal database research N Pant, M Fouladgar, R Elmasri, K Jitkajornwanich Intelligent Information and Database Systems: 10th Asian Conference, ACIIDS …, 2018 | 17 | 2018 |
| Extension in the case of arrays in daikon like tools MH Fouladgar, B Minaei-Bidgoli, H Parvinb, H Alinejad-Rokny Advanced Engineering Technology and Application 2 (1), 9-14, 2013 | 12 | 2013 |
| On possibility of conditional invariant detection H Fouladgar, B Minaei-Bidgoli, H Parvin Knowlege-Based and Intelligent Information and Engineering Systems: 15th …, 2011 | 12 | 2011 |
| Performance Comparison of Spatial Indexing Structures for Different Query Types N Pant, M Fouladgar, R Elamsri, K Jitkajornwanich Proceedings of 57th IRF International Conference, 43-50, 2016 | 10 | 2016 |
| Enriching dynamically detected invariants in the case of arrays M Fouladgar, B Minaei-Bidgoli, H Parvin Computational Science and Its Applications-ICCSA 2011: International …, 2011 | 4 | 2011 |
| Temporally enhanced network-constrained (TENC) R-tree M Fouladgar, R Elmasri Proceedings of the 5th ACM SIGSPATIAL International Workshop on Mobile …, 2016 | 2 | 2016 |
| Formalization of network-constrained moving object queries with application to benchmarking M Fouladgar, R Elmasri Proceedings of the 7th ACM SIGSPATIAL International Workshop on GeoStreaming …, 2016 | 2 | 2016 |
| Indexing, Querying, Prediction, and Integration for Network-constrained Moving Objects Databases M Fouladgar | | 2018 |
| Indexing, Querying, Prediction, and Map Matching for Network-constrained Moving Objects Databases M Fouladgar | | 2018 |
| A Hybrid Method of Ensemble Classifiers and Support Vector Machine in Analyze Text Datasets M Fouladgar, Z Rezaei Journal of Bioinformatics and Intelligent Control 4 (1), 75-80, 2015 | | 2015 |
| Dynamics Invariant Extension of Arrays in Daikon Like Tools H Fouladgar, H Parvin, H Alizadeh, B Minaei International Conference on Innovative Computing Technology, 161-171, 2011 | | 2011 |
| Theoretical Feasibility of Conditional Invariant Detection MH Fouladgar, H Parvin, B Minaei International Conference on Innovative Computing Technology, 172-185, 2011 | | 2011 |
| On Enrichment of Dynamically Detected Invariants in Arrays Case H Fouladgar, Z Rezaei, M Parvin, AR Hamid | | 2011 |
| A New Method for Software Testing H Fouladgar | | |
Ramez ElmasriProfessor, CSE, University of Texas at Arlington在 uta.edu 的电子邮件经过验证
Ramez ElmasriProfessor, CSE, University of Texas at Arlington在 uta.edu 的电子邮件经过验证
Armin ParchamiSnorkel AI在 snorkel.ai 的电子邮件经过验证
Amir GhaderiZoox在 zoox.com 的电子邮件经过验证