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Marco Fariselli
Marco Fariselli
Embedded machine learning engineer
Verified email at greenwaves-technologies.com
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CMix-NN: Mixed low-precision CNN library for memory-constrained edge devices
A Capotondi, M Rusci, M Fariselli, L Benini
IEEE Transactions on Circuits and Systems II: Express Briefs 67 (5), 871-875, 2020
1562020
Leveraging automated mixed-low-precision quantization for tiny edge microcontrollers
M Rusci, M Fariselli, A Capotondi, L Benini
IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile …, 2020
302020
Low-power license plate detection and recognition on a risc-v multi-core mcu-based vision system
L Lamberti, M Rusci, M Fariselli, F Paci, L Benini
2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021
192021
Integer-only approximated MFCC for ultra-low power audio NN processing on multi-core MCUs
M Fariselli, M Rusci, J Cambonie, E Flamand
2021 IEEE 3rd International Conference on Artificial Intelligence Circuits …, 2021
152021
Accelerating rnn-based speech enhancement on a multi-core mcu with mixed fp16-int8 post-training quantization
M Rusci, M Fariselli, M Croome, F Paci, E Flamand
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022
82022
Self-Learning for Personalized Keyword Spotting on Ultra-Low-Power Audio Sensors
M Rusci, F Paci, M Fariselli, E Flamand, T Tuytelaars
IEEE Internet of Things Journal, 2024
2024
StreamEase: Enabling Real-Time Inference of Temporal Convolution Networks on Low-Power MCUs with Stream-Oriented Automatic Transformation
SA Mirsalari, L Bijar, M Fariselli, M Croome, F Paci, G Tagliavini, L Benini
2024 31st IEEE International Conference on Electronics, Circuits and Systems …, 2024
2024
Replication Data for: Self-Learning for Personalized Keyword Spotting on Ultra-Low-Power Audio Sensors
M Rusci, M Fariselli, F Paci, E Flamand, T TUYTELAARS, T Tuytelaars
KU Leuven RDR, 0
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