QUENN: QUantization engine for low-power neural networks. - Miguel de Prado; Maurizio Denna; Luca Benini; Nuria Pazos (CF, 2018)

Learning to infer: RL-based search for DNN primitive selection on Heterogeneous Embedded Systems. - Miguel de Prado; Nuria Pazos; Luca Benini (DATE, 2019)

IoT meets distributed AI - Deployment scenarios of Bonseyes AI applications on FIWARE. - Lucien Moor; Lukas Bitter; Miguel de Prado; Nuria Pazos; Nabil Ouerhani (IPCCC, 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)

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)

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)

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 001; David Gregg; Luca Benini; Tim Llewellynn; Nabil Ouerhani; Rozenn Dahyot; Nuria Pazos (ACM Trans. Internet Things, 2020)

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 (ISCAS, 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)

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)

Towards On-device Domain Adaptation for Noise-Robust Keyword Spotting. - Cristian Cioflan; Lukas Cavigelli; Manuele Rusci; Miguel de Prado; Luca Benini (AICAS, 2022)

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 (EICC, 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 (FLAIRS, 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 (GoodIT, 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; et al. (IISA, 2023)

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 (AICAS, 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 (AICCC, 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 001; John Carenbauer; Hari Thiruvengada; Mahault Albarracin; Miguel de Prado; Petter Horling; Peter Winzell; et al. (CoRR, 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)

Towards smart and adaptive agents for active sensing on edge devices. - Devendra Vyas; Miguel de Prado; Tim Verbelen (CoRR, 2025)

A Hardware-oriented Approach for Efficient Active Inference Computation and Deployment. - Nikola Pizurica; Nikola Milovic; Igor Jovancevic; Conor Heins; Miguel de Prado (CoRR, 2025)