Miguel de Prado

26 papers A 1C 2Misc 1Journal 15Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Efficient On-Device Domain Learning for Keyword Spotting on Ultra-Low-Power Platforms.
IEEE Internet Things J.
Cristian Cioflan, Lukas Cavigelli, Manuele Rusci, Miguel de Prado, Luca Benini
2026 J jnl
Improving Continual Learning for Gaussian Splatting based Environments Reconstruction on Commercial Off-the-Shelf Edge Devices.
CoRR
Ivan Zaino, Matteo Risso, Daniele Jahier Pagliari, Miguel de Prado, Toon Van de Maele, Alessio Burrello
2025 J jnl
A Hardware-oriented Approach for Efficient Active Inference Computation and Deployment.
CoRR
Nikola Pizurica, Nikola Milovic, Igor Jovancevic, Conor Heins, Miguel de Prado
2025 J jnl
Towards smart and adaptive agents for active sensing on edge devices.
CoRR
Devendra Vyas, Miguel de Prado, Tim Verbelen
2024 — conf
A License Management System for Collaborative AI Engineering.
AICCC
Venkata Satya Sai Ajay Daliparthi, Kurt Tutschku, Nurul Momen, Miguel de Prado, Margaux Divernis, Nuria Pazos Escudero, Jean-Marc Bonnefous
2024 J jnl
Generic neural architecture search toolkit for efficient and real-world deployment of visual inspection convolutional neural networks in industry.
J. Electronic Imaging
Nikola Pizurica, Kosta Pavlovic, Slavko Kovacevic, Igor Jovancevic, Miguel de Prado
2024 J jnl
Navigation under uncertainty: Trajectory prediction and occlusion reasoning with switching dynamical systems.
CoRR
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
2024 — conf
On-Device Domain Learning for Keyword Spotting on Low-Power Extreme Edge Embedded Systems.
AICAS
Cristian Cioflan, Lukas Cavigelli, Manuele Rusci, Miguel de Prado, Luca Benini
2024 J jnl
On-Device Domain Learning for Keyword Spotting on Low-Power Extreme Edge Embedded Systems.
CoRR
Cristian Cioflan, Lukas Cavigelli, Manuele Rusci, Miguel de Prado, Luca Benini
2023 — conf
Encouraging AI Adoption by SMEs: Opportunities and Contributions by the ICT49 Project Cluster.
IISA
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
2023 Misc conf
TinderAI: Support System for Matching AI Algorithms and Embedded Devices.
FLAIRS
Matteo Francobaldi, Allegra De Filippo, Andrea Borghesi, Nikola Pizurica, Igor Jovancevic, Tim Llewellynn, Miguel de Prado
2023 — conf
ViSDM 1.0: Vision Sovereignty Data Marketplace a Decentralized Platform for Crowdsourcing Data Collection and Trading.
GoodIT
Venkata Satya Sai Ajay Daliparthi, Nurul Momen, Kurt Tutschku, Miguel de Prado
2023 — conf
ViSDM: A Liquid Democracy based Visual Data Marketplace for Sovereign Crowdsourcing Data Collection.
EICC
Venkata Satya Sai Ajay Daliparthi, Nurul Momen, Kurt Tutschku, Miguel de Prado
2022 — conf
Towards On-device Domain Adaptation for Noise-Robust Keyword Spotting.
AICAS
Cristian Cioflan, Lukas Cavigelli, Manuele Rusci, Miguel de Prado, Luca Benini
2021 J jnl
Automated Design Space Exploration for Optimized Deployment of DNN on Arm Cortex-A CPUs.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Miguel de Prado, Andrew Mundy, Rabia Saeed, Maurizio Denna, Nuria Pazos, Luca Benini
2021 C conf
Robustifying the Deployment of tinyML Models for Autonomous Mini-Vehicles.
ISCAS
Miguel de Prado, Manuele Rusci, Romain Donze, Alessandro Capotondi, Serge Monnerat, Luca Benini, Nuria Pazos
2021 J jnl
Robustifying the Deployment of tinyML Models for Autonomous Mini-Vehicles.
Sensors
Miguel de Prado, Manuele Rusci, Alessandro Capotondi, Romain Donze, Luca Benini, Nuria Pazos
2020 J jnl
Automated Design Space Exploration for optimised Deployment of DNN on Arm Cortex-A CPUs.
CoRR
Miguel de Prado, Andrew Mundy, Rabia Saeed, Maurizio Denna, Nuria Pazos, Luca Benini
2020 J jnl
Bonseyes AI Pipeline - Bringing AI to You: End-to-end integration of data, algorithms, and deployment tools.
ACM Trans. Internet Things
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
2020 J jnl
Robust navigation with tinyML for autonomous mini-vehicles.
CoRR
Miguel de Prado, Romain Donze, Alessandro Capotondi, Manuele Rusci, Serge Monnerat, Luca Benini, Nuria Pazos
2019 J jnl
AI Pipeline - bringing AI to you. End-to-end integration of data, algorithms and deployment tools.
CoRR
Miguel de Prado, Jing Su, Rozenn Dahyot, Rabia Saeed, Lorenzo Keller, Noelia Vállez
2019 C conf
IoT meets distributed AI - Deployment scenarios of Bonseyes AI applications on FIWARE.
IPCCC
Lucien Moor, Lukas Bitter, Miguel de Prado, Nuria Pazos, Nabil Ouerhani
2019 A conf
Learning to infer: RL-based search for DNN primitive selection on Heterogeneous Embedded Systems.
DATE
Miguel de Prado, Nuria Pazos, Luca Benini
2018 J jnl
Learning to infer: RL-based search for DNN primitive selection on Heterogeneous Embedded Systems.
CoRR
Miguel de Prado, Nuria Pazos, Luca Benini
2018 J jnl
QUENN: QUantization Engine for low-power Neural Networks.
CoRR
Miguel de Prado, Maurizio Denna, Luca Benini, Nuria Pazos
2018 — conf
QUENN: QUantization engine for low-power neural networks.
CF
Miguel de Prado, Maurizio Denna, Luca Benini, Nuria Pazos