| ReBNet: Residual Binarized Neural Network M Ghasemzadeh, M Samragh, F Koushanfar 2018 IEEE 26th Annual International Symposium on Field-Programmable Custom …, 2018 | 142 | 2018 |
| Applying reinforcement learning for web pages ranking algorithms V Derhami, E Khodadadian, M Ghasemzadeh, AMZ Bidoki Applied Soft Computing 13 (4), 1686-1692, 2013 | 65 | 2013 |
| Customizing neural networks for efficient fpga implementation M Samragh, M Ghasemzadeh, F Koushanfar 2017 IEEE 25th Annual International Symposium on Field-Programmable Custom …, 2017 | 61 | 2017 |
| Internet of things-based energy management, challenges, and solutions in smart cities W Shafik, SM Matinkhah, M Ghasemzadeh Journal of Communications Technology, Electronics and Computer Science 27, 1-11, 2020 | 45 | 2020 |
| Theoretical understanding of deep learning in uav biomedical engineering technologies analysis W Shafik, SM Matinkhah, M Ghasemzadeh SN Computer Science 1 (6), 307, 2020 | 32 | 2020 |
| MAXelerator: FPGA accelerator for privacy preserving multiply-accumulate (MAC) on cloud servers SU Hussain, BD Rouhani, M Ghasemzadeh, F Koushanfar Proceedings of the 55th Annual Design Automation Conference, 1-6, 2018 | 31 | 2018 |
| Stacked 1D convolutional networks for end-to-end small footprint voice trigger detection T Higuchi, M Ghasemzadeh, K You, C Dhir INTERSPEECH 2020, 2020 | 24 | 2020 |
| Emerging artificial intelligence application: reinforcement learning issues on current internet of things SM Matinkhah, W Shafik, M Ghasemzadeh 2019 16th international Conference in information knowledge and Technology …, 2019 | 12 | 2019 |
| CausaLearn: Automated Framework for Scalable Streaming-based Causal Bayesian Learning using FPGAs B Darvish Rouhani, M Ghasemzadeh, F Koushanfar Proceedings of the 2018 ACM/SIGDA International Symposium on Field …, 2018 | 11 | 2018 |
| A hybrid machine learning method for intrusion detection C Meinel, M Ghasemzadeh, HR Hemati International Journal of Engineering 29 (9), 1242-1246, 2016 | 7 | 2016 |
| A Novel Embedded Discretization-Based Deep Learning Architecture for Multivariate Time Series Classification MH Tahan, M Ghasemzadeh, S Asadi IEEE Transactions on Industrial Informatics 19 (4), 5976-5984, 2022 | 6 | 2022 |
| Development of fully convolutional neural networks based on discretization in time series classification MH Tahan, M Ghasemzadeh, S Asadi IEEE Transactions on Knowledge and Data Engineering 35 (7), 6827-6838, 2022 | 6 | 2022 |
| AgileNet: Lightweight Dictionary-based Few-shot Learning M Ghasemzadeh, F Lin, BD Rouhani, F Koushanfar, K Huang arXiv preprint arXiv:1805.08311, 2018 | 4 | 2018 |
| Scalable decision tree based on fuzzy partitioning and an incremental approach S Lotfi, M Ghasemzadeh, M Mohsenzadeh, M Mirzarezaee International Journal of Electrical and Computer Engineering 12 (4), 4228, 2022 | 3 | 2022 |
| Residual binary neural network M Ghasemzadeh, F Koushanfar, MS Razlighi US Patent App. 16/770,928, 2021 | 3 | 2021 |
| Mappable filter for neural processor circuit W Abdulla, P Di Febbo, M Ghasemzadeh, Y Rajan US Patent App. 17/065,428, 2022 | 1 | 2022 |
| Scalable Fuzzy Decision Tree Induction Using Fast Data Partitioning and Incremental Approach for Large Dataset S Lotfi, M Ghasemzadeh, M Mohsenzadeh, M Mirzarezaee Journal of Advances in Computer Engineering and Technology 1 (1), 55, 2021 | 1 | 2021 |
| Overlapping clustering for textual data A Khazaei, M Ghasemzadeh, D Gollmann Proceedings of the 2018 7th International Conference on Software and …, 2018 | 1 | 2018 |
| Acceleration of In-Memory-Compute Arrays P Di Febbo, MH Abu-Rahma, JK Parekh, Y Sinangil, M Ghasemzadeh, ... US Patent App. 18/346,565, 2024 | | 2024 |
| Combining Fuzzy Partitioning and Incremental Methods to Construct a Scalable Decision Tree on Large Datasets S Lotfi, M Ghasemzadeh, M Mohsenzadeh, M Mirzarezaee International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2023 | | 2023 |
Farinaz KoushanfarProfessor and Siavouche Nemat-Nasser Endowed Chair of ECE, UC San DiegoDirección de correo verificada de ucsd.edu
