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Disambiguation of "Rusci, Manuele"

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On-Device Domain Learning for Keyword Spotting on Low-Power Extreme Edge Embedded Systems.

, , , , and . CoRR, (2024)

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Roberta Fiske Rusciano

Oliver Ruscitti

Manuele Kirsch-Pinheiro

Bhanu Nath Manuele Sinha

 

Other publications of authors with the same name

PULP-TrainLib: Enabling On-Device Training for RISC-V Multi-core MCUs Through Performance-Driven Autotuning., , , , , and . SAMOS, volume 13511 of Lecture Notes in Computer Science, page 200-216. Springer, (2022)Bio-inspired Autonomous Exploration Policies with CNN-based Object Detection on Nano-drones., , , , , and . DATE, page 1-6. IEEE, (2023)Memory-Latency-Accuracy Trade-Offs for Continual Learning on a RISC-V Extreme-Edge Node., , , , , , , and . SiPS, page 1-6. IEEE, (2020)Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity?, , and . ISCAS, page 1-5. IEEE, (2018)Multi-sensory Anti-collision Design for Autonomous Nano-swarm Exploration., , , , , , and . ICECS, page 1-5. IEEE, (2023)Robustifying the Deployment of tinyML Models for Autonomous Mini-Vehicles., , , , , , and . ISCAS, page 1-5. IEEE, (2021)Low-Power License Plate Detection and Recognition on a RISC-V Multi-Core MCU-Based Vision System., , , , and . ISCAS, page 1-5. IEEE, (2021)Memory-Driven Mixed Low Precision Quantization For Enabling Deep Network Inference On Microcontrollers., , and . CoRR, (2019)Accelerating RNN-Based Speech Enhancement on a Multi-core MCU with Mixed FP16-INT8 Post-training Quantization., , , , and . PKDD/ECML Workshops (1), volume 1752 of Communications in Computer and Information Science, page 606-617. Springer, (2022)PULP-NN: A Computing Library for Quantized Neural Network inference at the edge on RISC-V Based Parallel Ultra Low Power Clusters., , , , and . ICECS, page 33-36. IEEE, (2019)