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Morteza Hosseini
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Journal Articles
- 2022
- [j8]Arnab Neelim Mazumder
, Haoran Ren
Automatic Detection of Respiratory Symptoms Using a Low-Power Multi-Input CNN Processor. IEEE Des. Test 39(3): 82-90 (2022) - [j7]Dennis V. Christensen
2022 roadmap on neuromorphic computing and engineering. Neuromorph. Comput. Eng. 2(2): 22501 (2022) - 2021
- [j6]Morteza Hosseini
QS-NAS: Optimally Quantized Scaled Architecture Search to Enable Efficient On-Device Micro-AI. IEEE J. Emerg. Sel. Topics Circuits Syst. 11(4): 597-610 (2021) - [j5]Morteza Hosseini, Tinoosh Mohsenin:
Binary Precision Neural Network Manycore Accelerator. ACM J. Emerg. Technol. Comput. Syst. 17(2): 19:1-19:27 (2021) - [j4]Nitheesh Kumar Manjunath
An Energy Efficient EdgeAI Autoencoder Accelerator for Reinforcement Learning. IEEE Open J. Circuits Syst. 2: 182-195 (2021) - [j3]Morteza Hosseini
Cyclic Sparsely Connected Architectures for Compact Deep Convolutional Neural Networks. IEEE Trans. Very Large Scale Integr. Syst. 29(10): 1757-1770 (2021) - [j2]Zhihao Peng
An Improved Energy-Aware Routing Protocol Using Multiobjective Particular Swarm Optimization Algorithm. Wirel. Commun. Mob. Comput. 2021: 6677961:1-6677961:16 (2021) - 2015
- [j1]Mojgan Ahmadzadeh-Raji, Ghasem Amoabediny, Parviz Tajik, Morteza Hosseini
An Apta-Biosensor for Colon Cancer Diagnostics. Sensors 15(9): 22291-22303 (2015)
Conference and Workshop Papers
- 2020
- [c13]Hasib-Al Rashid, Nitheesh Kumar Manjunath
A Low-Power LSTM Processor for Multi-Channel Brain EEG Artifact Detection. ISQED 2020: 105-110 - [c12]Hirenkumar Paneliya, Morteza Hosseini, Avesta Sasan, Houman Homayoun, Tinoosh Mohsenin:
CSCMAC - Cyclic Sparsely Connected Neural Network Manycore Accelerator. ISQED 2020: 311-316 - 2019
- [c11]Morteza Hosseini, Mark Horton, Hiren Paneliya, Uttej Kallakuri, Houman Homayoun, Tinoosh Mohsenin:
On the Complexity Reduction of Dense Layers from O(N2) to O(NlogN) with Cyclic Sparsely Connected Layers. DAC 2019: 203 - [c10]Morteza Hosseini, Diogo Pratas
A Probabilistic Method to Find and Visualize Distinct Regions in Protein Sequences. EUSIPCO 2019: 1-5 - [c9]Morteza Hosseini, Hirenkumar Paneliya, Utteja Kallakuri, Mohit Khatwani, Tinoosh Mohsenin:
Minimizing Classification Energy of Binarized Neural Network Inference for Wearable Devices. ISQED 2019: 259-264 - 2018
- [c8]Mohit Khatwani, Morteza Hosseini, Hirenkumar Paneliya, Tinoosh Mohsenin, W. David Hairston, Nicholas R. Waytowich:
Energy Efficient Convolutional Neural Networks for EEG Artifact Detection. BioCAS 2018: 1-4 - [c7]Lahir Marni, Morteza Hosseini, Tinoosh Mohsenin:
MC3A: Markov Chain Monte Carlo ManyCore Accelerator. ACM Great Lakes Symposium on VLSI 2018: 165-170 - [c6]Ali Jafari, Morteza Hosseini, Adwaya Kulkarni, Chintan Patel, Tinoosh Mohsenin:
BiNMAC: Binarized neural Network Manycore ACcelerator. ACM Great Lakes Symposium on VLSI 2018: 443-446 - [c5]Lahir Marni, Morteza Hosseini, Jennifer Hopp, Pedram Mohseni, Tinoosh Mohsenin:
A Real-Time Wearable FPGA-based Seizure Detection Processor Using MCMC. ISCAS 2018: 1-4 - [c4]Ali Jafari, Morteza Hosseini, Houman Homayoun, Tinoosh Mohsenin:
A Scalable and Low Power DCNN for Multimodal Data Classification. ReConFig 2018: 1-6 - [c3]Morteza Hosseini, Rashidul Islam, Lahir Marni, Tinoosh Mohsenin:
MPT: Multiple Parallel Tempering for High-Throughput MCMC Samplers. SoCC 2018: 244-249 - 2017
- [c2]Morteza Hosseini, Rashidul Islam, Amey M. Kulkarni, Tinoosh Mohsenin:
A Scalable FPGA-Based Accelerator for High-Throughput MCMC Algorithms. FCCM 2017: 201 - 2011
- [c1]Siamak Esmaeeli, Morteza Hosseini, Bijan Vosoughi Vahdat, Bizhan Rashidian:
A multi-bit error tolerant register file for a high reliable embedded processor. ICECS 2011: 532-537
Informal and Other Publications
- 2021
- [i3]Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano, Carlo Ricciardi, Shi-Jun Liang, Feng Miao, Mario Lanza, Tyler J. Quill
2021 Roadmap on Neuromorphic Computing and Engineering. CoRR abs/2105.05956 (2021) - [i2]Morteza Hosseini, David M. Pereira:
The chemical space of terpenes: insights from data science and AI. CoRR abs/2110.15047 (2021) - 2020
- [i1]Morteza Hosseini, Haoran Ren, Hasib-Al Rashid, Arnab Neelim Mazumder, Bharat Prakash, Tinoosh Mohsenin:
Neural Networks for Pulmonary Disease Diagnosis using Auditory and Demographic Information. CoRR abs/2011.13194 (2020)
Coauthor Index
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