Fabio Montagna

Orcid: 0000-0003-0468-2136

According to our database1, Fabio Montagna authored at least 15 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Analysis of the evolution of COVID-19 disease understanding through temporal knowledge graphs.
Frontiers Res. Metrics Anal., April, 2023

2022
A Low-Power Transprecision Floating-Point Cluster for Efficient Near-Sensor Data Analytics.
IEEE Trans. Parallel Distributed Syst., 2022

2021
Streamlining the OpenMP Programming Model on Ultra-Low-Power Multi-core MCUs.
Proceedings of the Architecture of Computing Systems - 34th International Conference, 2021

2020
Optimized Biosignals Processing Algorithms for New Designs of Human Machine Interfaces on Parallel Ultra-Low Power Architectures.
PhD thesis, 2020

Modular Design and Optimization of Biomedical Applications for Ultralow Power Heterogeneous Platforms.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

A transprecision floating-point cluster for efficient near-sensor data analytics.
CoRR, 2020

Scalable and energy efficient seizure detection based on direct use of compressively-sensed EEG data on an ultra low power multi-core architecture.
Comput. Biol. Medicine, 2020

An Event-Based System for Low-Power ECG QRS Complex Detection.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019
Online Learning and Classification of EMG-Based Gestures on a Parallel Ultra-Low Power Platform Using Hyperdimensional Computing.
IEEE Trans. Biomed. Circuits Syst., 2019

An Energy-Efficient IoT node for HMI applications based on an ultra-low power Multicore Processor.
Proceedings of the IEEE Sensors Applications Symposium, 2019

Ultra Low-Power Drowsiness Detection System with BioWolf.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

2018
Compressed Sensing Based Seizure Detection for an Ultra Low Power Multi-core Architecture.
Proceedings of the 2018 International Conference on High Performance Computing & Simulation, 2018

PULP-HD: accelerating brain-inspired high-dimensional computing on a parallel ultra-low power platform.
Proceedings of the 55th Annual Design Automation Conference, 2018

2017
A sub-10mW real-time implementation for EMG hand gesture recognition based on a multi-core biomedical SoC.
Proceedings of the 7th IEEE International Workshop on Advances in Sensors and Interfaces, 2017

2016
Scalable EEG seizure detection on an ultra low power multi-core architecture.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2016


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