activity
20192026
most citedAn Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing

119 citations · 286 across the 27 of their papers we have counts for

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6 papers · 1 filter

cs.LG2026

End-to-end Automated Deep Neural Network Optimization for PPG-based Blood Pressure Estimation on Wearables

Francesco Carlucci, Giovanni Pollo, Xiaying Wang +6

Photoplethysmography (PPG)-based blood pressure (BP) estimation is a challenging task, particularly on resource-constrained wearable devices. However, fully on-board processing is…

cs.LG2025

FEMBA: Efficient and Scalable EEG Analysis with a Bidirectional Mamba Foundation Model

Anna Tegon, Thorir Mar Ingolfsson, Xiaying Wang +2

Accurate and efficient electroencephalography (EEG) analysis is essential for detecting seizures and artifacts in long-term monitoring, with applications spanning hospital diagnost…

cs.LG2025

CEReBrO: Compact Encoder for Representations of Brain Oscillations Using Efficient Alternating Attention

Alexandru Dimofte, Glenn Anta Bucagu, Thorir Mar Ingolfsson +4

Electroencephalograph (EEG) is a crucial tool for studying brain activity. Recently, self-supervised learning methods leveraging large unlabeled datasets have emerged as a potentia…

cs.LG2022★ 3 cited

Reducing Neural Architecture Search Spaces with Training-Free Statistics and Computational Graph Clustering

Thorir Mar Ingolfsson, Mark Vero, Xiaying Wang +3

The computational demands of neural architecture search (NAS) algorithms are usually directly proportional to the size of their target search spaces. Thus, limiting the search to h…

cs.LG2021★ 1 cited

ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network

Thorir Mar Ingolfsson, Xiaying Wang, Michael Hersche +3

Personalized ubiquitous healthcare solutions require energy-efficient wearable platforms that provide an accurate classification of bio-signals while consuming low average power fo…

cs.LG2019★ 9 cited

FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things

Xiaying Wang, Michele Magno, Lukas Cavigelli +1

The growing number of low-power smart devices in the Internet of Things is coupled with the concept of "Edge Computing", that is moving some of the intelligence, especially machine…