324 citations · 625 across the 27 of their papers we have counts for
7 papers · 1 filter
A Semi-Supervised Algorithm for Improving the Consistency of Crowdsourced Datasets: The COVID-19 Case Study on Respiratory Disorder Classification
Lara Orlandic, Tomas Teijeiro, David Atienza
Cough audio signal classification is a potentially useful tool in screening for respiratory disorders, such as COVID-19. Since it is dangerous to collect data from patients with su…
Many-to-One Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Internet of Things Systems
Saleh Baghersalimi, Alireza Amirshahi, Farnaz Forooghifar +3
Integrating low-power wearable Internet of Things (IoT) systems into routine health monitoring is an ongoing challenge. Recent advances in the computation capabilities of wearables…
Automated machine learning for borehole resistivity measurements
M. Shahriari, D. Pardo, S. Kargaran +1
Deep neural networks (DNNs) offer a real-time solution for the inversion of borehole resistivity measurements to approximate forward and inverse operators. It is possible to use ex…
Event-based sampled ECG morphology reconstruction through self-similarity
Silvio Zanoli, Tomas Teijeiro, Giovanni Ansaloni +1
Background and Objective: Event-based analog-to-digital converters allow for sparse bio-signal acquisition, enabling local sub-Nyquist sampling frequency. However, aggressive event…
HDTorch: Accelerating Hyperdimensional Computing with GP-GPUs for Design Space Exploration
William Andrew Simon, Una Pale, Tomas Teijeiro +1
HyperDimensional Computing (HDC) as a machine learning paradigm is highly interesting for applications involving continuous, semi-supervised learning for long-term monitoring. Howe…
Hyperdimensional computing encoding for feature selection on the use case of epileptic seizure detection
Una Pale, Tomas Teijeiro, David Atienza
The healthcare landscape is moving from the reactive interventions focused on symptoms treatment to a more proactive prevention, from one-size-fits-all to personalized medicine, an…
Exploration of Hyperdimensional Computing Strategies for Enhanced Learning on Epileptic Seizure Detection
Una Pale, Tomas Teijeiro, David Atienza
Wearable and unobtrusive monitoring and prediction of epileptic seizures has the potential to significantly increase the life quality of patients, but is still an unreached goal du…