| Correlational convolutional LSTM for human action recognition M Majd, R Safabakhsh Neurocomputing 396, 224-229, 2020 | 154 | 2020 |
| Monitoring and detecting faults in wastewater treatment plants using deep learning B Mamandipoor, M Majd, S Sheikhalishahi, C Modena, V Osmani Environmental monitoring and assessment 192 (2), 148, 2020 | 131 | 2020 |
| A motion-aware ConvLSTM network for action recognition M Majd, R Safabakhsh Applied Intelligence 49, 2515-2521, 2019 | 68 | 2019 |
| Novel adaptive genetic algorithm sample consensus E Shojaedini, M Majd, R Safabakhsh Applied Soft Computing 77, 635-642, 2019 | 48 | 2019 |
| Impact of machine learning on improvement of user experience in museums M Majd, R Safabakhsh the 19th Artificial Intelligence and Signal Processing Conference, 2017 | 28 | 2017 |
| Blood lactate concentration prediction in critical care B Mamandipoor, M Majd, M Moz, V Osmani Digital Personalized Health and Medicine, 73-77, 2020 | 7 | 2020 |
| Blood lactate concentration prediction in critical care patients: handling missing values B Mamandipoor, M Majd, M Moz, V Osmani arXiv preprint arXiv:1910.01473, 2019 | 5 | 2019 |
| A novel hybrid approach for cephalometric landmark detection M Majd, F Shoeleh arXiv preprint arXiv:1506.03936, 2015 | 5 | 2015 |
| Knowledge Representation in Learning Classifier Systems: A Review F Shoeleh, M Majd, A Hamzeh, S Hashemi arXiv preprint arXiv:1506.04002, 2015 | 4 | 2015 |
| A polymorphic convex hull scheme for negative selection algorithms M Ave, I Ыhiraz | 4 | 2012 |
| Towards efficient and effective negative selection algorithm: a convex hull representation scheme M Majd, F Shoeleh, A Hamzeh, S Hashemi Simulated Evolution and Learning: 8th International Conference, SEAL 2010 …, 2010 | | 2010 |
Reza SafabakhshProfessor of Computer Engineering, Amirkabir University of TechnologyVerified email at aut.ac.ir