Miguel de Prado

Orcid: 0000-0003-4350-1617

According to our database1, Miguel de Prado authored at least 16 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Generic neural architecture search toolkit for efficient and real-world deployment of visual inspection convolutional neural networks in industry.
J. Electronic Imaging, 2024

2023
Encouraging AI Adoption by SMEs: Opportunities and Contributions by the ICT49 Project Cluster.
Proceedings of the 14th International Conference on Information, 2023

ViSDM 1.0: Vision Sovereignty Data Marketplace a Decentralized Platform for Crowdsourcing Data Collection and Trading.
Proceedings of the 2023 ACM Conference on Information Technology for Social Good, 2023

TinderAI: Support System for Matching AI Algorithms and Embedded Devices.
Proceedings of the Thirty-Sixth International Florida Artificial Intelligence Research Society Conference, 2023

ViSDM: A Liquid Democracy based Visual Data Marketplace for Sovereign Crowdsourcing Data Collection.
Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference, 2023

2022
Towards On-device Domain Adaptation for Noise-Robust Keyword Spotting.
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021
Automated Design Space Exploration for Optimized Deployment of DNN on Arm Cortex-A CPUs.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

Robustifying the Deployment of tinyML Models for Autonomous Mini-Vehicles.
Sensors, 2021

Robustifying the Deployment of tinyML Models for Autonomous Mini-Vehicles.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

2020
Bonseyes AI Pipeline - Bringing AI to You: End-to-end integration of data, algorithms, and deployment tools.
ACM Trans. Internet Things, 2020

Robust navigation with tinyML for autonomous mini-vehicles.
CoRR, 2020

Automated Design Space Exploration for optimised Deployment of DNN on Arm Cortex-A CPUs.
CoRR, 2020

2019
AI Pipeline - bringing AI to you. End-to-end integration of data, algorithms and deployment tools.
CoRR, 2019

IoT meets distributed AI - Deployment scenarios of Bonseyes AI applications on FIWARE.
Proceedings of the 38th IEEE International Performance Computing and Communications Conference, 2019

Learning to infer: RL-based search for DNN primitive selection on Heterogeneous Embedded Systems.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018
QUENN: QUantization engine for low-power neural networks.
Proceedings of the 15th ACM International Conference on Computing Frontiers, 2018


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