An Entropic Approach to Technology Enable Learning and Social Computing. - Victor Alves; José Miranda; Hossam Dawa; Filipe Fernandes; Fernanda Pombal; Jorge Ribeiro 001; Florentino Fdez-Riverola; Cesar Analide; Henrique Vicente; José Neves 001 (MLIS, 2022)

X-HEEP: An Open-Source, Configurable and Extendible RISC-V Microcontroller. - Pasquale Davide Schiavone; Simone Machetti; Miguel Peón-Quirós; José Miranda; Benoît W. Denkinger; Thomas Christoph Müller; Rubén Rodríguez Álvarez; Saverio Nasturzio; David Atienza Alonso (CF, 2023)

Dynamic Scheduling for Event-Driven Embedded Industrial Applications. - Hossein Taji; José Miranda; Miguel Peón-Quirós; Szabolcs Balási; David Atienza (VLSI-SoC, 2023)

Energy-Efficient Frequency Selection Method for Bio-Signal Acquisition in AI/ML Wearables. - Hossein Taji; José Miranda; Miguel Peón-Quirós; David Atienza (ISLPED, 2024)

STRELA: STReaming ELAstic CGRA Accelerator for Embedded Systems. - Daniel Vázquez; José Miranda; Alfonso Rodríguez 002; Andrés Otero; Pasquale Davide Schiavone; David Atienza (CoRR, 2024)

DC is all you need: describing ReLU from a signal processing standpoint. - Christodoulos Kechris; Jonathan Dan; José Miranda; David Atienza (CoRR, 2024)

Don't Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNs. - Christodoulos Kechris; Jonathan Dan; José Miranda; David Atienza (AAAI, 2025)

Multi-Partner Project: Sustainable Textile Electronics (STELEC). - Bo Zhou 005; Mengxi Liu; Sizhen Bian; Daniel Geißler; Paul Lukowicz; José Miranda; Jonathan Dan; David Atienza; Mohamed Amine Riahi; Norbert Wehn; Russel N. Torah; Sheng Yong; et al. (DATE, 2025)

Solving the Cold-Start Problem for the Edge: Clustering and Adaptive Deep Learning for Emotion Detection. - Junjiao Sun; Laura Gutiérrez-Martín; Celia López-Ongil; José Miranda; Jorge Portilla; Andrés Otero (DATE, 2025)

FADE: Forecasting for anomaly detection on ECG. - Paula Ruiz-Barroso; Francisco M. Castro; José Miranda; Denisa-Andreea Constantinescu; David Atienza; Nicolás Guil (Comput. Methods Programs Biomed., 2025)

KID-PPG: Knowledge Informed Deep Learning for Extracting Heart Rate From a Smartwatch. - Christodoulos Kechris; Jonathan Dan; José Miranda; David Atienza (IEEE Trans. Biomed. Eng., 2025)

MEDEA: A Design-Time Multi-Objective Manager for Energy-Efficient DNN Inference on Heterogeneous Ultra-Low Power Platforms. - Hossein Taji; José Miranda; Miguel Peón-Quirós; David Atienza (CoRR, 2025)