| A novel extreme learning machine based kNN classification method for dealing with big data A Shokrzade, M Ramezani, FA Tab, MA Mohammad Expert Systems with Applications 183, 115293, 2021 | 76 | 2021 |
| A pattern mining approach to enhance the accuracy of collaborative filtering in sparse data domains M Ramezani, P Moradi, F Akhlaghian Physica A: Statistical Mechanics and its Applications 408, 72-84, 2014 | 74 | 2014 |
| A review on human action analysis in videos for retrieval applications M Ramezani, F Yaghmaee Artificial Intelligence Review 46, 485-514, 2016 | 58 | 2016 |
| A novel video recommendation system based on efficient retrieval of human actions M Ramezani, F Yaghmaee Physica A: Statistical Mechanics and its Applications 457, 607-623, 2016 | 18 | 2016 |
| Improve performance of collaborative filtering systems using backward feature selection M Ramezani, P Moradi, FA Tab The 5th Conference on Information and Knowledge Technology, 225-230, 2013 | 16 | 2013 |
| Motion pattern based representation for improving human action retrieval M Ramezani, F Yaghmaee Multimedia Tools and Applications 77, 26009-26032, 2018 | 13 | 2018 |
| A new generalized collaborative filtering approach on sparse data by extracting high confidence relations between users M Ramezani, FA Tab, A Abdollahpouri, MA Mohammad Information Sciences 570, 323-341, 2021 | 7 | 2021 |
| An adaptive optic-physic based dust removal method using optimized air-light and transfer function A Bartani, A Abdollahpouri, M Ramezani, FA Tab Multimedia Tools and Applications 81 (23), 33823-33849, 2022 | 6 | 2022 |
| Retrieving human action by fusing the motion information of interest points M Ramezani, F Yaghmaee International Journal on Artificial Intelligence Tools 27 (03), 1850008, 2018 | 6 | 2018 |
| ELM-NET, a closer to practice approach for classifying the big data using multiple independent ELMs A Shokrzade, FA Tab, M Ramezani Cluster Computing 23, 735-757, 2020 | 4 | 2020 |
| Content-based human actions retrieval by a novel low complex action representation M Ramezani, F Yaghmaee 2014 4th International Conference on Computer and Knowledge Engineering …, 2014 | 3 | 2014 |
| Content-based retrieval of human actions by analysing the statistical information of features M Ramezani, F Yaghmaee 2014 6th Conference on Information and Knowledge Technology (IKT), 56-60, 2014 | 2 | 2014 |
| Content-based retrieval of human actions by extracting the main moving directions and their scales M Ramezani, F Yaghmaee 4th International Conference on Information Technology Management …, 2014 | 2 | 2014 |
| Robust deep image-watermarking method by a modified Siamese network A Bartani, F Akhlaghian Tab, A Abdollahpouri, M Ramezani Neural Computing and Applications, 1-20, 2024 | | 2024 |
| A two-stream action recognition method based on complementary traditional and deep features A Moradyani, M Ramezani, F Akhlaghian Tab, R Mirzaei Journal of Machine Vision and Image Processing 10 (1), 17-31, 2023 | | 2023 |
| A Deep Human Action Representation For Retrieval Application M Ramezani, F Akhlaghian Tab, F Yaghmaee Modeling and Simulation in Electrical and Electronics Engineering 2 (1), 17-25, 2022 | | 2022 |
| Eliminating the Repetitive Motions as a Preprocessing step for Fast Human Action Retrieval M Ramezani, F Yaghmaee 2019 9th International Conference on Computer and Knowledge Engineering …, 2019 | | 2019 |
Fardin Akhlaghian TabDepartment of Computer Engineering, Faculty of Engineering, University of Kurdistan, Sanandaj, IranBestätigte E-Mail-Adresse bei uok.ac.ir
