| A low-Complexity modified ThiNet algorithm for Pruning convolutional neural networks S Tofigh, MO Ahmad, MNS Swamy IEEE Signal Processing Letters 29, 1012-1016, 2022 | 11 | 2022 |
| A new design criterion for linear receiver stbcs based on full-rank spaces S Tofigh, HM Kermani, A Morsali IEEE Communications Letters 19 (2), 207-210, 2014 | 11 | 2014 |
| Coding advantage decomposition inequality for the space–frequency block codes A Morsali, S Tofigh, Z Mohammadian, S Talebi IET Communications 8 (4), 500-507, 2014 | 3 | 2014 |
| A family of Quasi-orthogonal space-time block codes with linear receivers M Askarizadeh, S Tofigh, M Zare 2018 3rd Conference on Swarm Intelligence and Evolutionary Computation …, 2018 | 2 | 2018 |
| Convex-concave programming: An effective alternative for optimizing shallow neural networks M Askarizadeh, A Morsali, S Tofigh, KK Nguyen IEEE Transactions on Emerging Topics in Computational Intelligence, 2024 | 1 | 2024 |
| FIELD EXTENSION AND DESIGNING A NEW 2× 2 FULL-DIVERSITY, FULL-RATE AND INFORMATION LOSSLESS SPACE-TIME BLOCK CODE S Tofigh, A Morsali, M Askarizade, HM Kermani Facta universitatis-series: Mathematics and Informatics 28 (1), 87-96, 2013 | | 2013 |