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ORCIDAlireza Zaeemzadeh
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2020 – today
- 2023
[j6]William Marshall
, Matteo Grasso, William G. P. Mayner, Alireza Zaeemzadeh, Leonardo S. Barbosa, Erick Chastain, Graham Findlay, Shuntaro Sasai, Larissa Albantakis, Giulio Tononi:
System Integrated Information. Entropy 25(2): 334 (2023)- [j5]Larissa Albantakis, Leonardo S. Barbosa, Graham Findlay, Matteo Grasso, Andrew M. Haun, William Marshall, William G. P. Mayner, Alireza Zaeemzadeh, Mélanie Boly, Bjørn Erik Juel, Shuntaro Sasai, Keiko Fujii, Isaac David, Jeremiah Hendren, Jonathan P. Lang, Giulio Tononi:
Integrated information theory (IIT) 4.0: Formulating the properties of phenomenal existence in physical terms. PLoS Comput. Biol. 19(10) (2023) - 2021
- [j4]Alireza Zaeemzadeh, Nazanin Rahnavard, Mubarak Shah:
Norm-Preservation: Why Residual Networks Can Become Extremely Deep? IEEE Trans. Pattern Anal. Mach. Intell. 43(11): 3980-3990 (2021) - [c13]Alireza Zaeemzadeh, Niccoló Bisagno, Zeno Sambugaro, Nicola Conci, Nazanin Rahnavard, Mubarak Shah:
Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces. CVPR 2021: 9452-9461 - [c12]Alireza Zaeemzadeh, Shabnam Ghadar, Baldo Faieta, Zhe Lin, Nazanin Rahnavard, Mubarak Shah, Ratheesh Kalarot:
Face Image Retrieval with Attribute Manipulation. ICCV 2021: 12096-12105 - [i7]Nazmul Karim, Alireza Zaeemzadeh, Nazanin Rahnavard:
RL-NCS: Reinforcement learning based data-driven approach for nonuniform compressed sensing. CoRR abs/2107.00838 (2021) - 2020
- [j3]Mohsen Joneidi, Alireza Zaeemzadeh, Behzad Shahrasbi, Guo-Jun Qi, Nazanin Rahnavard:
E-Optimal Sensor Selection for Compressive Sensing-Based Purposes. IEEE Trans. Big Data 6(1): 51-65 (2020)
2010 – 2019
- 2019
- [c11]Jamie Haddock, Deanna Needell, Alireza Zaeemzadeh, Nazanin Rahnavard:
Convergence of Iterative Hard Thresholding Variants with Application to Asynchronous Parallel Methods for Sparse Recovery. ACSSC 2019: 276-279 - [c10]Alireza Zaeemzadeh, Mohsen Joneidi, Nazanin Rahnavard, Mubarak Shah:
Iterative Projection and Matching: Finding Structure-Preserving Representatives and Its Application to Computer Vision. CVPR 2019: 5414-5423 - [c9]Soheil Salehi, Ramtin Zand, Alireza Zaeemzadeh, Nazanin Rahnavard, Ronald F. DeMara:
AQuRate: MRAM-based Stochastic Oscillator for Adaptive Quantization Rate Sampling of Sparse Signals. ACM Great Lakes Symposium on VLSI 2019: 359-362 - [c8]Soheil Salehi, Alireza Zaeemzadeh, Adrian Tatulian, Nazanin Rahnavard, Ronald F. DeMara:
MRAM-Based Stochastic Oscillators for Adaptive Non-Uniform Sampling of Sparse Signals in IoT Applications. ISVLSI 2019: 403-408 - [c7]Nazmul Karim, Alireza Zaeemzadeh, Nazanin Rahnavard:
Rl-Ncs: Reinforcement Learning Based Data-Driven Approach For Nonuniform Compressed Sensing. MLSP 2019: 1-6 - [i6]Soheil Salehi, Ramtin Zand, Alireza Zaeemzadeh, Nazanin Rahnavard, Ronald F. DeMara:
AQuRate: MRAM-based Stochastic Oscillator for Adaptive Quantization Rate Sampling of Sparse Signals. CoRR abs/1903.00971 (2019) - 2018
- [j2]Soheil Salehi, Mahdi Boloursaz Mashhadi, Alireza Zaeemzadeh, Nazanin Rahnavard, Ronald F. DeMara:
Energy-Aware Adaptive Rate and Resolution Sampling of Spectrally Sparse Signals Leveraging VCMA-MTJ Devices. IEEE J. Emerg. Sel. Topics Circuits Syst. 8(4): 679-692 (2018) - [j1]Alireza Zaeemzadeh, Mohsen Joneidi, Nazanin Rahnavard, Guo-Jun Qi:
Co-SpOT: Cooperative Spectrum Opportunity Detection Using Bayesian Clustering in Spectrum-Heterogeneous Cognitive Radio Networks. IEEE Trans. Cogn. Commun. Netw. 4(2): 206-219 (2018) - [c6]Alireza Zaeemzadeh, Jamie Haddock, Nazanin Rahnavard, Deanna Needell:
A Bayesian Approach for Asynchronous Parallel Sparse Recovery. ACSSC 2018: 1980-1984 - [i5]Alireza Zaeemzadeh, Nazanin Rahnavard, Mubarak Shah:
Norm-Preservation: Why Residual Networks Can Become Extremely Deep? CoRR abs/1805.07477 (2018) - [i4]Mohsen Joneidi, Alireza Zaeemzadeh, Nazanin Rahnavard, Mubarak Shah:
Iterative Projection and Matching: Finding Structure-preserving Representatives and Its Application to Computer Vision. CoRR abs/1811.12326 (2018) - 2017
- [c5]Alireza Zaeemzadeh, Mohsen Joneidi, Nazanin Rahnavard:
Adaptive non-uniform compressive sampling for time-varying signals. CISS 2017: 1-6 - [c4]Alireza Zaeemzadeh, Mohsen Joneidi, Behzad Shahrasbi, Nazanin Rahnavard:
Robust Target Localization Based on Squared Range Iterative Reweighted Least Squares. MASS 2017: 380-388 - [c3]Mohsen Joneidi, Alireza Zaeemzadeh, Nazanin Rahnavard:
Dynamic Sensor Selection for Reliable Spectrum Sensing via E-Optimal Criterion. MASS 2017: 452-460 - [i3]Alireza Zaeemzadeh, Mohsen Joneidi, Nazanin Rahnavard:
Adaptive Non-uniform Compressive Sampling for Time-varying Signals. CoRR abs/1703.03340 (2017) - 2015
- [c2]Mohsen Joneidi, Alireza Zaeemzadeh, Shideh Rezaeifar, Mahdi Abavisani, Nazanin Rahnavard:
LFM signal detection and estimation based on sparse representation. CISS 2015: 1-5 - [c1]Alireza Zaeemzadeh, Mohsen Joneidi, Behzad Shahrasbi, Nazanin Rahnavard:
Missing spectrum-data recovery in cognitive radio networks using piecewise constant Nonnegative Matrix Factorization. MILCOM 2015: 238-243 - [i2]Alireza Zaeemzadeh, Mohsen Joneidi, Behzad Shahrasbi, Nazanin Rahnavard:
Missing Spectrum-Data Recovery in Cognitive Radio Networks Using Piecewise Constant Nonnegative Matrix Factorization. CoRR abs/1508.07269 (2015) - 2014
- [i1]Mohsen Joneidi, Mahdi Barzegar Khalilsarai, Alireza Zaeemzadeh, Nazanin Rahnavard:
Matrix Coherency Graph: A Tool for Improving Sparse Coding Performance. CoRR abs/1412.6125 (2014)
Coauthor Index
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