Michael Hersche
Michael Hersche
PhD Student @ IBM Research Zurich
Verified email at zurich.ibm.com
Title
Cited by
Cited by
Year
Fast and accurate multiclass inference for MI-BCIs using large multiscale temporal and spectral features
M Hersche, T Rellstab, PD Schiavone, L Cavigelli, L Benini, A Rahimi
2018 26th European Signal Processing Conference (EUSIPCO), 1690-1694, 2018
222018
An accurate eegnet-based motor-imagery brain–computer interface for low-power edge computing
X Wang, M Hersche, B Tömekce, B Kaya, M Magno, L Benini
2020 IEEE International Symposium on Medical Measurements and Applications …, 2020
102020
Q-EEGNet: An energy-efficient 8-bit quantized parallel EEGNet implementation for edge motor-imagery brain-machine interfaces
T Schneider, X Wang, M Hersche, L Cavigelli, L Benini
2020 IEEE International Conference on Smart Computing (SMARTCOMP), 284-289, 2020
72020
EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain–Machine Interfaces
TM Ingolfsson, M Hersche, X Wang, N Kobayashi, L Cavigelli, L Benini
2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020
62020
Integrating event-based dynamic vision sensors with sparse hyperdimensional computing: A low-power accelerator with online learning capability
M Hersche, EM Rella, A Di Mauro, L Benini, A Rahimi
Proceedings of the ACM/IEEE International Symposium on Low Power Electronics …, 2020
52020
Compressing Subject-specific Brain-Computer Interface Models into One Model by Superposition in Hyperdimensional Space
M Hersche, P Rupp, L Benini, A Rahimi
2020 Design, Automation & Test in Europe Conference & Exhibition (DATE), 246-251, 2020
42020
Evolvable hyperdimensional computing: Unsupervised regeneration of associative memory to recover faulty components
M Hersche, S Sangalli, L Benini, A Rahimi
2020 2nd IEEE International Conference on Artificial Intelligence Circuits …, 2020
32020
Exploring embedding methods in binary hyperdimensional computing: A case study for motor-imagery based brain-computer interfaces
M Hersche, JR Millán, L Benini, A Rahimi
arXiv preprint arXiv:1812.05705, 2018
32018
Binary Models for Motor-Imagery Brain-Computer Interfaces: Sparse Random Projection and Binarized SVM
M Hersche, L Benini, A Rahimi
2020 2nd IEEE International Conference on Artificial Intelligence Circuits …, 2020
22020
Ecg-tcn: Wearable cardiac arrhythmia detection with a temporal convolutional network
TM Ingolfsson, XWM Hersche, A Burrello, L Cavigelli, L Benini
2021 IEEE 3rd International Conference on Artificial Intelligence Circuits …, 2021
12021
Mixed-Precision Quantization and Parallel Implementation of Multispectral Riemannian Classification for Brain–Machine Interfaces
X Wang, T Schneider, M Hersche, L Cavigelli, L Benini
2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021
12021
Binarization Methods for Motor-Imagery Brain–Computer Interface Classification
M Hersche, L Benini, A Rahimi
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 10 (4 …, 2020
12020
Near-channel classifier: symbiotic communication and classification in high-dimensional space
M Hersche, S Lippuner, M Korb, L Benini, A Rahimi
Brain Informatics 8 (1), 1-15, 2021
2021
Energy Efficient In-Memory Hyperdimensional Encoding for Spatio-Temporal Signal Processing
G Karunaratne, M Le Gallo, M Hersche, G Cherubini, L Benini, ...
IEEE Transactions on Circuits and Systems II: Express Briefs 68 (5), 1725-1729, 2021
2021
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