| 2022 roadmap on neuromorphic computing and engineering DV Christensen, R Dittmann, B Linares-Barranco, A Sebastian, ... Neuromorphic Computing and Engineering 2 (2), 022501, 2022 | 504 | 2022 |
| Energy efficient convolutional neural networks for eeg artifact detection M Khatwani, M Hosseini, H Paneliya, T Mohsenin, WD Hairston, ... 2018 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2018 | 31 | 2018 |
| A low-power lstm processor for multi-channel brain eeg artifact detection NK Manjunath, H Paneliya, M Hosseini, WD Hairston, T Mohsenin 2020 21st International Symposium on Quality Electronic Design (ISQED), 105-110, 2020 | 30 | 2020 |
| On the complexity reduction of dense layers from o (n2) to o (nlogn) with cyclic sparsely connected layers M Hosseini, M Horton, H Paneliya, U Kallakuri, H Homayoun, T Mohsenin Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019 | 26 | 2019 |
| BiNMAC: Binarized neural network manycore accelerator A Jafari, M Hosseini, A Kulkarni, C Patel, T Mohsenin Proceedings of the 2018 on Great Lakes Symposium on VLSI, 443-446, 2018 | 25 | 2018 |
| A real-time wearable FPGA-based seizure detection processor using MCMC L Marni, M Hosseini, J Hopp, P Mohseni, T Mohsenin 2018 IEEE international symposium on circuits and systems (ISCAS), 1-4, 2018 | 21 | 2018 |
| Automatic detection of respiratory symptoms using a low-power multi-input CNN processor AN Mazumder, H Ren, HA Rashid, M Hosseini, V Chandrareddy, ... IEEE Design & Test 39 (3), 82-90, 2021 | 19 | 2021 |
| Neural networks for pulmonary disease diagnosis using auditory and demographic information M Hosseini, H Ren, HA Rashid, AN Mazumder, B Prakash, T Mohsenin arXiv preprint arXiv:2011.13194, 2020 | 18 | 2020 |
| Qs-nas: Optimally quantized scaled architecture search to enable efficient on-device micro-ai M Hosseini, T Mohsenin IEEE Journal on Emerging and Selected Topics in Circuits and Systems 11 (4 …, 2021 | 15 | 2021 |
| An energy efficient edgeai autoencoder accelerator for reinforcement learning NK Manjunath, A Shiri, M Hosseini, B Prakash, NR Waytowich, ... IEEE Open Journal of Circuits and Systems 2, 182-195, 2021 | 15 | 2021 |
| Minimizing classification energy of binarized neural network inference for wearable devices M Hosseini, H Paneliya, U Kallakuri, M Khatwani, T Mohsenin 20th International Symposium on Quality Electronic Design (ISQED), 259-264, 2019 | 14 | 2019 |
| A multi-bit error tolerant register file for a high reliable embedded processor S Esmaeeli, M Hosseini, BV Vahdat, B Rashidian 2011 18th IEEE International Conference on Electronics, Circuits, and …, 2011 | 14 | 2011 |
| Cyclic sparsely connected architectures for compact deep convolutional neural networks M Hosseini, NK Manjunath, B Prakash, A Mazumder, V Chandrareddy, ... IEEE Transactions on Very Large Scale Integration (VLSI) Systems 29 (10 …, 2021 | 12 | 2021 |
| Binary precision neural network manycore accelerator M Hosseini, T Mohsenin ACM Journal on Emerging Technologies in Computing Systems (JETC) 17 (2), 1-27, 2021 | 12 | 2021 |
| A fast method to fine-tune neural networks for the least energy consumption on fpgas M Hosseini, M Ebrahimabadi, AN Mazumder, H Homayoun, T Mohsenin Hardware Aware Efficient Training (HAET) workshop of International …, 2021 | 11 | 2021 |
| A scalable fpga-based accelerator for high-throughput mcmc algorithms M Hosseini, R Islam, A Kulkarni, T Mohsenin 2017 IEEE 25th Annual International Symposium on Field-Programmable Custom …, 2017 | 8 | 2017 |
| A scalable and low power dcnn for multimodal data classification A Jafari, M Hosseini, H Homayoun, T Mohsenin 2018 international conference on ReConFigurable computing and FPGAs …, 2018 | 6 | 2018 |
| Cyclic sparsely connected architectures: From foundations to applications M Hosseini, N Manjunath, U Kallakuri, H Mahmoodi, H Homayoun, ... IEEE Solid-State Circuits Magazine 13 (4), 64-76, 2021 | 5 | 2021 |
| Mc3a: Markov chain monte carlo manycore accelerator L Marni, M Hosseini, T Mohsenin Proceedings of the 2018 on Great Lakes Symposium on VLSI, 165-170, 2018 | 5 | 2018 |
| A low-power lstm processor for multi-channel brain EEG artifact detection NKM Hasib-Al-Rashid, H Paneliya, M Hosseini, WD Hairston, T Mohsenin measurements 1, 5, 2020 | 4 | 2020 |
Tinoosh MohseninJohns Hopkins UniversityBestätigte E-Mail-Adresse bei jhu.edu