Tomás Teijeiro

According to our database, Tomás Teijeiro authored at least 45 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

M2SKD: Multi-to-Single Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Systems.

Saleh Baghersalimi, Alireza Amirshahi, Farnaz Forooghifar, Tomás Teijeiro, Amir Aminifar, David Atienza

ACM Trans. Intell. Syst. Technol., October, 2024

Decentralized Federated Learning for Epileptic Seizures Detection in Low-Power Wearable Systems.

Saleh Baghersalimi, Tomás Teijeiro, Amir Aminifar, David Atienza

IEEE Trans. Mob. Comput., May, 2024

Combining general and personal models for epilepsy detection with hyperdimensional computing.

Una Pale, Tomás Teijeiro, Sylvain Rheims, Philippe Ryvlin, David Atienza

Artif. Intell. Medicine, 2024

Acoustical features as knee health biomarkers: A critical analysis.

Christodoulos Kechris, Jérôme Thevenot, Tomás Teijeiro, Vincent A. Stadelmann, Nicola A. Maffiuletti, David Atienza

Artif. Intell. Medicine, 2024

How to Count Coughs: An Event-Based Framework for Evaluating Automatic Cough Detection Algorithm Performance.

Lara Orlandic, Jonathan Dan, Jérôme Thevenot, Tomás Teijeiro, Alain Sauty, David Atienza

Proceedings of the 20th IEEE International Conference on Body Sensor Networks, 2024

2023

A semi-supervised algorithm for improving the consistency of crowdsourced datasets: The COVID-19 case study on respiratory disorder classification.

Lara Orlandic, Tomás Teijeiro, David Atienza

Comput. Methods Programs Biomed., November, 2023

Event-based sampled ECG morphology reconstruction through self-similarity.

Silvio Zanoli, Giovanni Ansaloni, Tomás Teijeiro, David Atienza

Comput. Methods Programs Biomed., October, 2023

An Error-Based Approximation Sensing Circuit for Event-Triggered Low-Power Wearable Sensors.

Silvio Zanoli, Flavio Ponzina, Tomás Teijeiro, Alexandre Levisse, David Atienza

IEEE J. Emerg. Sel. Topics Circuits Syst., June, 2023

Adaptive R-Peak Detection on Wearable ECG Sensors for High-Intensity Exercise.

Elisabetta De Giovanni, Tomás Teijeiro, Grégoire P. Millet, David Atienza

IEEE Trans. Biomed. Eng., March, 2023

A Multimodal Dataset for Automatic Edge-AI Cough Detection.

Lara Orlandic, Jérôme Thevenot, Tomás Teijeiro, David Atienza

Dataset, January, 2023

Machine Learning Discovery of Optimal Quadrature Rules for Isogeometric Analysis.

Tomás Teijeiro, Jamie M. Taylor, Ali Hashemian, David Pardo

CoRR, 2023

Combining General and Personalized Models for Epilepsy Detection with Hyperdimensional Computing.

Una Pale, Tomás Teijeiro, David Atienza

CoRR, 2023

Importance of methodological choices in data manipulation for validating epileptic seizure detection models.

Una Pale, Tomás Teijeiro, David Atienza

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

A Multimodal Dataset for Automatic Edge-AI Cough Detection.

Lara Orlandic, Jérôme Thevenot, Tomás Teijeiro, David Atienza

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Personalized Real-Time Federated Learning for Epileptic Seizure Detection.

Saleh Baghersalimi, Tomás Teijeiro, David Atienza, Amir Aminifar

IEEE J. Biomed. Health Informatics, 2022

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, Tomás Teijeiro, Amir Aminifar, David Atienza

CoRR, 2022

Automated machine learning for borehole resistivity measurements.

Mostafa Shahriari, David Pardo, S. Kargaran, Tomás Teijeiro

CoRR, 2022

Hyperdimensional computing encoding for feature selection on the use case of epileptic seizure detection.

Una Pale, Tomás Teijeiro, David Atienza

CoRR, 2022

HDTorch: Accelerating Hyperdimensional Computing with GP-GPUs for Design Space Exploration.

William Andrew Simon, Una Pale, Tomás Teijeiro, David Atienza

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

Exploration of Hyperdimensional Computing Strategies for Enhanced Learning on Epileptic Seizure Detection.

Una Pale, Tomás Teijeiro, David Atienza

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

INCLASS: Incremental Classification Strategy for Self-Aware Epileptic Seizure Detection.

Lorenzo Ferretti, Giovanni Ansaloni, Renaud Marquis, Tomás Teijeiro, Philippe Ryvlin, David Atienza, Laura Pozzi

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

ExG Signal Feature Selection Using Hyperdimensional Computing Encoding.

Una Pale, Tomás Teijeiro, David Atienza

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

ECG in High Intensity Exercise Dataset.

Elisabetta De Giovanni, Tomás Teijeiro, David Meier, Grégoire P. Millet, David Atienza

Dataset, November, 2021

Physiological signals labeler.

Silvio Zanoli, Tomás Teijeiro Campo, David Atienza Alonso

Dataset, April, 2021

The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithms.

Lara Orlandic, Tomás Teijeiro, David Atienza

Dataset, February, 2021

The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithms.

Lara Orlandic, Tomás Teijeiro, David Atienza

Dataset, February, 2021

Multi-Centroid Hyperdimensional Computing Approach for Epileptic Seizure Detection.

Una Pale, Tomás Teijeiro, David Atienza

CoRR, 2021

Interpreting deep learning models for epileptic seizure detection on EEG signals.

Valentin Gabeff, Tomás Teijeiro, Marina Zapater, Leila Cammoun, Sylvain Rheims, Philippe Ryvlin, David Atienza

Artif. Intell. Medicine, 2021

Systematic Assessment of Hyperdimensional Computing for Epileptic Seizure Detection.

Una Pale, Tomás Teijeiro, David Atienza

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Self-Aware Anomaly-Detection for Epilepsy Monitoring on Low-Power Wearable Electrocardiographic Devices.

Farnaz Forooghifar, Amin Aminifar, Tomás Teijeiro, Amir Aminifar, Jesper Jeppesen, Sándor Beniczky, David Atienza

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020

The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithms.

Lara Orlandic, Tomás Teijeiro, David Atienza

Dataset, September, 2020

Event-Triggered Sensing for High-Quality and Low-Power Cardiovascular Monitoring Systems.

Grégoire Surrel, Tomás Teijeiro, Amir Aminifar, David Atienza, Matthieu Chevrier

IEEE Des. Test, 2020

The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithms.

Lara Orlandic, Tomás Teijeiro, David Atienza

CoRR, 2020

Construe: a software solution for the explanation-based interpretation of time series.

Tomás Teijeiro, Paulo Félix

CoRR, 2020

An Event-Based System for Low-Power ECG QRS Complex Detection.

Silvio Zanoli, Tomás Teijeiro, Fabio Montagna, David Atienza

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

Knowledge, Machine Learning and Atrial Fibrillation: More Ingredients for a Tastier Cocktail.

Tomás Teijeiro

Proceedings of the Computing in Cardiology, 2020

2018

Heartbeat Classification Using Abstract Features From the Abductive Interpretation of the ECG.

Tomás Teijeiro, Paulo Félix, Jesús Presedo, Daniel Castro

IEEE J. Biomed. Health Informatics, 2018

Abductive reasoning as the basis to reproduce expert criteria in ECG Atrial Fibrillation identification.

Tomás Teijeiro, Constantino A. García, Daniel Castro, Paulo Félix

CoRR, 2018

On the adoption of abductive reasoning for time series interpretation.

Tomás Teijeiro, Paulo Félix

Artif. Intell., 2018

2017

Arrhythmia Classification from the Abductive Interpretation of Short Single-Lead ECG Records.

Tomás Teijeiro, Constantino A. García, Daniel Castro, Paulo Félix

Proceedings of the Computing in Cardiology, 2017

2015

A Noise Robust QRS Delineation Method Based on Path Simplification.

Tomás Teijeiro, Paulo Félix, Jesús Presedo

Proceedings of the Computing in Cardiology, 2015

2014

Using Temporal Abduction for Biosignal Interpretation: A Case Study on QRS Detection.

Tomás Teijeiro, Paulo Félix, Jesús Presedo

Proceedings of the 2014 IEEE International Conference on Healthcare Informatics, 2014

2013

An open platform for the protocolization of home medical supervision.

Tomás Teijeiro, Paulo Félix, Jesús María Rodríguez Presedo, Carlos Zamarrón

Expert Syst. Appl., 2013

2011

SERVANDO: An extensible platform for home-care services providing.

Tomás Teijeiro, Paulo Félix, Jesús Presedo, A. Gandara

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2009

A Home-Care PDA-Based Program for the Management of COPD Patients.

Tomás Teijeiro, Miguel Tarascó, Paulo Félix, Jesús María Rodríguez Presedo

Proceedings of the Medical Informatics in a United and Healthy Europe - Proceedings of MIE 2009, The XXIInd International Congress of the European Federation for Medical Informatics, Sarajevo, Bosnia and Herzegovina, August 30, 2009