Miguel de Prado

According to our database, Miguel de Prado authored at least 21 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Hardware-oriented Approach for Efficient Active Inference Computation and Deployment.

Nikola Pizurica, Nikola Milovic, Igor Jovancevic, Conor Heins, Miguel de Prado

CoRR, August, 2025

Towards smart and adaptive agents for active sensing on edge devices.

Devendra Vyas, Miguel de Prado, Tim Verbelen

CoRR, January, 2025

2024

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

Nikola Pizurica, Kosta Pavlovic, Slavko Kovacevic, Igor Jovancevic, Miguel de Prado

J. Electronic Imaging, 2024

Navigation under uncertainty: Trajectory prediction and occlusion reasoning with switching dynamical systems.

Ran Wei, Joseph Lee, Shohei Wakayama, Alexander Tschantz, Conor Heins, Christopher Buckley, John Carenbauer, Hari Thiruvengada, Mahault Albarracin, Miguel de Prado, Petter Horling, Peter Winzell, Renjith Rajagopal

CoRR, 2024

A License Management System for Collaborative AI Engineering.

Venkata Satya Sai Ajay Daliparthi, Kurt Tutschku, Nurul Momen, Miguel de Prado, Margaux Divernis, Nuria Pazos Escudero, Jean-Marc Bonnefous

Proceedings of the 2024 7th Artificial Intelligence and Cloud Computing Conference, 2024

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

Cristian Cioflan, Lukas Cavigelli, Manuele Rusci, Miguel de Prado, Luca Benini

Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

2023

Encouraging AI Adoption by SMEs: Opportunities and Contributions by the ICT49 Project Cluster.

Ourania I. Markaki, Aikaterini Papapostolou, Spiros Mouzakitis, Izabela Zrazinska, Urszula Sobek, Thomas Wilczek, Antonis Troumpoukis, Xenia Ziouvelou, Vangelis Karkaletsis, Alexandra Carrasco, Miriam García, Gabriele Röger, Andrea Micheli, Jaime Alessandro Codagnone, Miguel de Prado, Siobhan O'Neill

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.

Venkata Satya Sai Ajay Daliparthi, Nurul Momen, Kurt Tutschku, Miguel de Prado

Proceedings of the 2023 ACM Conference on Information Technology for Social Good, 2023

TinderAI: Support System for Matching AI Algorithms and Embedded Devices.

Matteo Francobaldi, Allegra De Filippo, Andrea Borghesi, Nikola Pizurica, Igor Jovancevic, Tim Llewellynn, Miguel de Prado

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.

Venkata Satya Sai Ajay Daliparthi, Nurul Momen, Kurt Tutschku, Miguel de Prado

Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference, 2023

2022

Towards On-device Domain Adaptation for Noise-Robust Keyword Spotting.

Cristian Cioflan, Lukas Cavigelli, Manuele Rusci, Miguel de Prado, Luca Benini

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.

Miguel de Prado, Andrew Mundy, Rabia Saeed, Maurizio Denna, Nuria Pazos, Luca Benini

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

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

Miguel de Prado, Manuele Rusci, Alessandro Capotondi, Romain Donze, Luca Benini, Nuria Pazos

Sensors, 2021

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

Miguel de Prado, Manuele Rusci, Romain Donze, Alessandro Capotondi, Serge Monnerat, Luca Benini, Nuria Pazos

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.

Miguel de Prado, Jing Su, Rabia Saeed, Lorenzo Keller, Noelia Vállez, Andrew Anderson, David Gregg, Luca Benini, Tim Llewellynn, Nabil Ouerhani, Rozenn Dahyot, Nuria Pazos

ACM Trans. Internet Things, 2020

Robust navigation with tinyML for autonomous mini-vehicles.

Miguel de Prado, Romain Donze, Alessandro Capotondi, Manuele Rusci, Serge Monnerat, Luca Benini, Nuria Pazos

CoRR, 2020

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

Miguel de Prado, Andrew Mundy, Rabia Saeed, Maurizio Denna, Nuria Pazos, Luca Benini

CoRR, 2020

2019

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

Miguel de Prado, Jing Su, Rozenn Dahyot, Rabia Saeed, Lorenzo Keller, Noelia Vállez

CoRR, 2019

IoT meets distributed AI - Deployment scenarios of Bonseyes AI applications on FIWARE.

Lucien Moor, Lukas Bitter, Miguel de Prado, Nuria Pazos, Nabil Ouerhani

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.

Miguel de Prado, Nuria Pazos, Luca Benini

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018

QUENN: QUantization engine for low-power neural networks.

Miguel de Prado, Maurizio Denna, Luca Benini, Nuria Pazos

Proceedings of the 15th ACM International Conference on Computing Frontiers, 2018