| JointDNN: an efficient training and inference engine for intelligent mobile cloud computing services AE Eshratifar, MS Abrishami, M Pedram IEEE Transactions on Mobile Computing, 2018 | 355 | 2018 |
| New approximate multiplier for low power digital signal processing F Farshchi, MS Abrishami, SM Fakhraie The 17th CSI International Symposium on Computer Architecture & Digital …, 2013 | 92 | 2013 |
| Identification of developmental delay in infants using wearable sensors: Full-day leg movement statistical feature analysis MS Abrishami, L Nocera, M Mert, IA Trujillo-Priego, S Purushotham, ... IEEE journal of translational engineering in health and medicine 7, 1-7, 2019 | 46 | 2019 |
| CSM-NN: Current source model based logic circuit simulation-a neural network approach MS Abrishami, M Pedram, S Nazarian 2019 IEEE 37th International Conference on Computer Design (ICCD), 393-400, 2019 | 9 | 2019 |
| A Meta-Learning Approach for Custom Model Training AE Eshratifar, MS Abrishami, D Eigen, M Pedram Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), 2018 | 8 | 2018 |
| Efficient training of deep convolutional neural networks by augmentation in embedding space MS Abrishami, AE Eshratifar, D Eigen, Y Wang, S Nazarian, M Pedram 2020 21st International Symposium on Quality Electronic Design (ISQED), 347-351, 2020 | 6 | 2020 |
| NN-PARS: A Parallelized Neural Network Based Circuit Simulation Framework MS Abrishami, H Ge, JF Calderon, M Pedram, S Nazarian 2020 21st International Symposium on Quality Electronic Design (ISQED), 452-456, 2020 | 2 | 2020 |
| Optimal choice of FinFET devices for energy minimization in deeply-scaled technologies MS Abrishami, A Shafaei, Y Wang, M Pedram Sixteenth International Symposium on Quality Electronic Design, 234-238, 2015 | 2 | 2015 |
Massoud PedramCharles Lee Powell Professor of Electrical Engineering & Computer Science, Univ of SouthernVerified email at usc.edu
