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ORCIDMorteza Hosseini
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2022
[j8]Arnab Neelim Mazumder
, Haoran Ren, Hasib-Al Rashid, Morteza Hosseini, Vandana Chandrareddy, Houman Homayoun, Tinoosh Mohsenin:
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, 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, Scott T. Keene, Alberto Salleo, Julie Grollier, Danijela Markovic, Alice Mizrahi, Peng Yao, J. Joshua Yang, Giacomo Indiveri, John Paul Strachan, Suman Datta, Elisa Vianello, Alexandre Valentian, Johannes Feldmann, Xuan Li, Wolfram H. P. Pernice, Harish Bhaskaran, Steve B. Furber, Emre Neftci, Franz Scherr, Wolfgang Maass, Srikanth Ramaswamy, Jonathan Tapson, Priyadarshini Panda, Youngeun Kim, Gouhei Tanaka, Simon Thorpe, Chiara Bartolozzi, Thomas A. Cleland, Christoph Posch, Shih-Chii Liu, Gabriella Panuccio, Mufti Mahmud, Arnab Neelim Mazumder, Morteza Hosseini, Tinoosh Mohsenin, Elisa Donati, Silvia Tolu, Roberto Galeazzi, Martin Ejsing Christensen, Sune Holm, Daniele Ielmini, N. Pryds:
2022 roadmap on neuromorphic computing and engineering. Neuromorph. Comput. Eng. 2(2): 22501 (2022) - 2021
- [j6]Morteza Hosseini, Tinoosh Mohsenin:
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, Aidin Shiri, Morteza Hosseini, Bharat Prakash, Nicholas R. Waytowich, Tinoosh Mohsenin:
An Energy Efficient EdgeAI Autoencoder Accelerator for Reinforcement Learning. IEEE Open J. Circuits Syst. 2: 182-195 (2021) - [j3]Morteza Hosseini, Nitheesh Kumar Manjunath, Bharat Prakash, Arnab Neelim Mazumder, Vandana Chandrareddy, Houman Homayoun, Tinoosh Mohsenin:
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, Mehdi Sajedi Jabloo, Yahya Dorostkar Navaei, Morteza Hosseini, Rozita Jamili Oskouei, Poria Pirozmand, Seyed Saeid Mirkamali:
An Improved Energy-Aware Routing Protocol Using Multiobjective Particular Swarm Optimization Algorithm. Wirel. Commun. Mob. Comput. 2021: 6677961:1-6677961:16 (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, Scott T. Keene, Alberto Salleo, Julie Grollier, Danijela Markovic, Alice Mizrahi, Peng Yao, J. Joshua Yang, Giacomo Indiveri, John Paul Strachan, Suman Datta, Elisa Vianello, Alexandre Valentian, Johannes Feldmann, Xuan Li, Wolfram H. P. Pernice, Harish Bhaskaran, Emre Neftci, Srikanth Ramaswamy, Jonathan Tapson, Franz Scherr, Wolfgang Maass, Priyadarshini Panda, Youngeun Kim, Gouhei Tanaka, Simon Thorpe, Chiara Bartolozzi, Thomas A. Cleland, Christoph Posch, Shih-Chii Liu, Arnab Neelim Mazumder, Morteza Hosseini, Tinoosh Mohsenin, Elisa Donati, Silvia Tolu, Roberto Galeazzi, Martin Ejsing Christensen, Sune Holm, Daniele Ielmini, N. Pryds:
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
- [c13]Hasib-Al Rashid, Nitheesh Kumar Manjunath, Hirenkumar Paneliya, Morteza Hosseini, W. David Hairston, Tinoosh Mohsenin:
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 - [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)
2010 – 2019
- 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, Armando J. Pinho:
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 - 2015
- [j1]Mojgan Ahmadzadeh-Raji, Ghasem Amoabediny, Parviz Tajik, Morteza Hosseini, Ebrahim Ghafar-Zadeh:
An Apta-Biosensor for Colon Cancer Diagnostics. Sensors 15(9): 22291-22303 (2015) - 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
Coauthor Index
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