Manuele Rusci
Orcid: 0000-0001-7458-4019
According to our database1,
Manuele Rusci
authored at least 31 papers
between 2016 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
On-Device Domain Learning for Keyword Spotting on Low-Power Extreme Edge Embedded Systems.
CoRR, 2024
On-device Self-supervised Learning of Visual Perception Tasks aboard Hardware-limited Nano-quadrotors.
CoRR, 2024
2023
Reduced precision floating-point optimization for Deep Neural Network On-Device Learning on microcontrollers.
Future Gener. Comput. Syst., December, 2023
On-Device Customization of Tiny Deep Learning Models for Keyword Spotting With Few Examples.
IEEE Micro, 2023
Land & Localize: An Infrastructure-free and Scalable Nano-Drones Swarm with UWB-based Localization.
CoRR, 2023
CoRR, 2023
Proceedings of the 30th IEEE International Conference on Electronics, Circuits and Systems, 2023
Bio-inspired Autonomous Exploration Policies with CNN-based Object Detection on Nano-drones.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023
2022
PULP-TrainLib: Enabling On-Device Training for RISC-V Multi-core MCUs Through Performance-Driven Autotuning.
Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2022
Accelerating RNN-Based Speech Enhancement on a Multi-core MCU with Mixed FP16-INT8 Post-training Quantization.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022
2021
Sensors, 2021
IEEE J. Emerg. Sel. Topics Circuits Syst., 2021
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021
Low-Power License Plate Detection and Recognition on a RISC-V Multi-Core MCU-Based Vision System.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021
Integer-Only Approximated MFCC for Ultra-Low Power Audio NN Processing on Multi-Core MCUs.
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021
2020
BrightNet: A Deep CNN for OLED-Based Point of Care Immunofluorescent Diagnostic Systems.
IEEE Trans. Instrum. Meas., 2020
IEEE Trans. Circuits Syst. II Express Briefs, 2020
Memory-Latency-Accuracy Trade-Offs for Continual Learning on a RISC-V Extreme-Edge Node.
Proceedings of the IEEE Workshop on Signal Processing Systems, 2020
Leveraging Automated Mixed-Low-Precision Quantization for Tiny Edge Microcontrollers.
Proceedings of the IoT Streams for Data-Driven Predictive Maintenance and IoT, Edge, and Mobile for Embedded Machine Learning, 2020
Memory-Driven Mixed Low Precision Quantization for Enabling Deep Network Inference on Microcontrollers.
Proceedings of Machine Learning and Systems 2020, 2020
2019
PULP-NN: Accelerating Quantized Neural Networks on Parallel Ultra-Low-Power RISC-V Processors.
CoRR, 2019
PULP-NN: A Computing Library for Quantized Neural Network inference at the edge on RISC-V Based Parallel Ultra Low Power Clusters.
Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems, 2019
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2019
2018
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018
Quantized NNs as the definitive solution for inference on low-power ARM MCUs?: work-in-progress.
Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2018
Always-ON visual node with a hardware-software event-based binarized neural network inference engine.
Proceedings of the 15th ACM International Conference on Computing Frontiers, 2018
2017
IEEE Internet Things J., 2017
Proceedings of the 5th IEEE International Conference on Future Internet of Things and Cloud, 2017
2016
Proceedings of the IEEE International Smart Cities Conference, 2016