Tomás Teijeiro

53 papers A 3C 1Journal 37Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient numerical integration for finite element trunk spaces in 2D and 3D using machine learning: A new optimisation paradigm to construct application-Specific quadrature rules. J. Comput. Phys. Tomás Teijeiro, Pouria Behnoudfar, Jamie M. Taylor, David Pardo, Victor M. Calo
2025	J	`jnl`	Efficient Numerical Integration for Finite Element Trunk Spaces in 2D and 3D using Machine Learning: A new Optimisation Paradigm to Construct Application-Specific Quadrature Rules. CoRR Tomás Teijeiro, Pouria Behnoudfar, Jamie M. Taylor, David Pardo, Victor M. Calo
2024	J	`jnl`	Acoustical Features as Knee Health Biomarkers: A Critical Analysis. CoRR Christodoulos Kechris, Jérôme Thevenot, Tomás Teijeiro, Vincent A. Stadelmann, Nicola A. Maffiuletti, David Atienza
2024	J	`jnl`	Acoustical features as knee health biomarkers: A critical analysis. Artif. Intell. Medicine Christodoulos Kechris, Jérôme Thevenot, Tomás Teijeiro, Vincent A. Stadelmann, Nicola A. Maffiuletti, David Atienza
2024	J	`jnl`	Combining general and personal models for epilepsy detection with hyperdimensional computing. Artif. Intell. Medicine Una Pale, Tomás Teijeiro, Sylvain Rheims, Philippe Ryvlin, David Atienza
2024	J	`jnl`	Decentralized Federated Learning for Epileptic Seizures Detection in Low-Power Wearable Systems. IEEE Trans. Mob. Comput. Saleh Baghersalimi, Tomás Teijeiro, Amir Aminifar, David Atienza
2024	C	`conf`	How to Count Coughs: An Event-Based Framework for Evaluating Automatic Cough Detection Algorithm Performance. BSN Lara Orlandic, Jonathan Dan, Jérôme Thevenot, Tomás Teijeiro, Alain Sauty, David Atienza
2024	J	`jnl`	How to Count Coughs: An Event-Based Framework for Evaluating Automatic Cough Detection Algorithm Performance. CoRR Lara Orlandic, Jonathan Dan, Jérôme Thevenot, Tomás Teijeiro, Alain Sauty, David Atienza
2024	J	`jnl`	M2SKD: Multi-to-Single Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Systems. ACM Trans. Intell. Syst. Technol. Saleh Baghersalimi, Alireza Amirshahi, Farnaz Forooghifar, Tomás Teijeiro, Amir Aminifar, David Atienza
2023	—	`conf`	A Multimodal Dataset for Automatic Edge-AI Cough Detection. EMBC Lara Orlandic, Jérôme Thevenot, Tomás Teijeiro, David Atienza
2023	J	`jnl`	A semi-supervised algorithm for improving the consistency of crowdsourced datasets: The COVID-19 case study on respiratory disorder classification. Comput. Methods Programs Biomed. Lara Orlandic, Tomás Teijeiro, David Atienza
2023	J	`jnl`	Adaptive R-Peak Detection on Wearable ECG Sensors for High-Intensity Exercise. IEEE Trans. Biomed. Eng. Elisabetta De Giovanni, Tomás Teijeiro, Grégoire P. Millet, David Atienza
2023	J	`jnl`	An Error-Based Approximation Sensing Circuit for Event-Triggered Low-Power Wearable Sensors. IEEE J. Emerg. Sel. Topics Circuits Syst. Silvio Zanoli, Flavio Ponzina, Tomás Teijeiro, Alexandre Levisse, David Atienza
2023	J	`jnl`	Combining General and Personalized Models for Epilepsy Detection with Hyperdimensional Computing. CoRR Una Pale, Tomás Teijeiro, David Atienza
2023	J	`jnl`	Event-based sampled ECG morphology reconstruction through self-similarity. Comput. Methods Programs Biomed. Silvio Zanoli, Giovanni Ansaloni, Tomás Teijeiro, David Atienza
2023	—	`conf`	Importance of methodological choices in data manipulation for validating epileptic seizure detection models. EMBC Una Pale, Tomás Teijeiro, David Atienza
2023	J	`jnl`	Importance of methodological choices in data manipulation for validating epileptic seizure detection models. CoRR Una Pale, Tomás Teijeiro, David Atienza
2023	J	`jnl`	Machine Learning Discovery of Optimal Quadrature Rules for Isogeometric Analysis. CoRR Tomás Teijeiro, Jamie M. Taylor, Ali Hashemian, David Pardo
2022	J	`jnl`	A Semi-Supervised Algorithm for Improving the Consistency of Crowdsourced Datasets: The COVID-19 Case Study on Respiratory Disorder Classification. CoRR Lara Orlandic, Tomás Teijeiro, David Atienza
2022	J	`jnl`	Automated machine learning for borehole resistivity measurements. CoRR Mostafa Shahriari, David Pardo, S. Kargaran, Tomás Teijeiro
2022	—	`conf`	ExG Signal Feature Selection Using Hyperdimensional Computing Encoding. BIBM Una Pale, Tomás Teijeiro, David Atienza
2022	—	`conf`	Exploration of Hyperdimensional Computing Strategies for Enhanced Learning on Epileptic Seizure Detection. EMBC Una Pale, Tomás Teijeiro, David Atienza
2022	J	`jnl`	Exploration of Hyperdimensional Computing Strategies for Enhanced Learning on Epileptic Seizure Detection. CoRR Una Pale, Tomás Teijeiro, David Atienza
2022	A	`conf`	HDTorch: Accelerating Hyperdimensional Computing with GP-GPUs for Design Space Exploration. ICCAD William Andrew Simon, Una Pale, Tomás Teijeiro, David Atienza
2022	J	`jnl`	HDTorch: Accelerating Hyperdimensional Computing with GP-GPUs for Design Space Exploration. CoRR William Andrew Simon, Una Pale, Tomás Teijeiro, David Atienza
2022	J	`jnl`	Hyperdimensional computing encoding for feature selection on the use case of epileptic seizure detection. CoRR Una Pale, Tomás Teijeiro, David Atienza
2022	A	`conf`	INCLASS: Incremental Classification Strategy for Self-Aware Epileptic Seizure Detection. DATE Lorenzo Ferretti, Giovanni Ansaloni, Renaud Marquis, Tomás Teijeiro, Philippe Ryvlin, David Atienza, Laura Pozzi
2022	J	`jnl`	Many-to-One Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Internet of Things Systems. CoRR Saleh Baghersalimi, Alireza Amirshahi, Farnaz Forooghifar, Tomás Teijeiro, Amir Aminifar, David Atienza
2022	J	`jnl`	Personalized Real-Time Federated Learning for Epileptic Seizure Detection. IEEE J. Biomed. Health Informatics Saleh Baghersalimi, Tomás Teijeiro, David Atienza, Amir Aminifar
2021	J	`jnl`	Adaptive R-Peak Detection on Wearable ECG Sensors for High-Intensity Exercise. CoRR Elisabetta De Giovanni, Tomás Teijeiro, Grégoire P. Millet, David Atienza
2021	J	`jnl`	Interpreting deep learning models for epileptic seizure detection on EEG signals. Artif. Intell. Medicine Valentin Gabeff, Tomás Teijeiro, Marina Zapater, Leila Cammoun, Sylvain Rheims, Philippe Ryvlin, David Atienza
2021	J	`jnl`	Multi-Centroid Hyperdimensional Computing Approach for Epileptic Seizure Detection. CoRR Una Pale, Tomás Teijeiro, David Atienza
2021	—	`conf`	Self-Aware Anomaly-Detection for Epilepsy Monitoring on Low-Power Wearable Electrocardiographic Devices. AICAS Farnaz Forooghifar, Amin Aminifar, Tomás Teijeiro, Amir Aminifar, Jesper Jeppesen, Sándor Beniczky, David Atienza
2021	—	`conf`	Systematic Assessment of Hyperdimensional Computing for Epileptic Seizure Detection. EMBC Una Pale, Tomás Teijeiro, David Atienza
2021	J	`jnl`	Systematic Assessment of Hyperdimensional Computing for Epileptic Seizure Detection. CoRR Una Pale, Tomás Teijeiro, David Atienza
2020	A	`conf`	An Event-Based System for Low-Power ECG QRS Complex Detection. DATE Silvio Zanoli, Tomás Teijeiro, Fabio Montagna, David Atienza
2020	J	`jnl`	Construe: a software solution for the explanation-based interpretation of time series. CoRR Tomás Teijeiro, Paulo Félix
2020	J	`jnl`	Event-Triggered Sensing for High-Quality and Low-Power Cardiovascular Monitoring Systems. IEEE Des. Test Grégoire Surrel, Tomás Teijeiro, Amir Aminifar, David Atienza, Matthieu Chevrier
2020	J	`jnl`	Interpreting Deep Learning Models for Epileptic Seizure Detection on EEG signals. CoRR Valentin Gabeff, Tomás Teijeiro, Marina Zapater, Leila Cammoun, Sylvain Rheims, Philippe Ryvlin, David Atienza
2020	—	`conf`	Knowledge, Machine Learning and Atrial Fibrillation: More Ingredients for a Tastier Cocktail. CinC Tomás Teijeiro
2020	J	`jnl`	The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithms. CoRR Lara Orlandic, Tomás Teijeiro, David Atienza
2018	J	`jnl`	Abductive reasoning as the basis to reproduce expert criteria in ECG Atrial Fibrillation identification. CoRR Tomás Teijeiro, Constantino A. García, Daniel Castro, Paulo Félix
2018	J	`jnl`	Heartbeat Classification Using Abstract Features From the Abductive Interpretation of the ECG. IEEE J. Biomed. Health Informatics Tomás Teijeiro, Paulo Félix, Jesús Presedo, Daniel Castro
2018	J	`jnl`	On the adoption of abductive reasoning for time series interpretation. Artif. Intell. Tomás Teijeiro, Paulo Félix
2017	—	`conf`	Arrhythmia Classification from the Abductive Interpretation of Short Single-Lead ECG Records. CinC Tomás Teijeiro, Constantino A. García, Daniel Castro, Paulo Félix
2017	J	`jnl`	Arrhythmia Classification from the Abductive Interpretation of Short Single-Lead ECG Records. CoRR Tomás Teijeiro, Constantino A. García, Daniel Castro, Paulo Félix
2016	J	`jnl`	On the adoption of abductive reasoning for time series interpretation. CoRR Tomás Teijeiro, Paulo Félix
2015	—	`conf`	A Noise Robust QRS Delineation Method Based on Path Simplification. CinC Tomás Teijeiro, Paulo Félix, Jesús Presedo
2015	J	`jnl`	Using temporal abduction for biosignal interpretation: A case study on QRS detection. CoRR Tomás Teijeiro, Paulo Félix, Jesús Presedo
2014	—	`conf`	Using Temporal Abduction for Biosignal Interpretation: A Case Study on QRS Detection. ICHI Tomás Teijeiro, Paulo Félix, Jesús Presedo
2013	J	`jnl`	An open platform for the protocolization of home medical supervision. Expert Syst. Appl. Tomás Teijeiro, Paulo Félix, Jesús María Rodríguez Presedo, Carlos Zamarrón
2011	—	`conf`	SERVANDO: An extensible platform for home-care services providing. EMBC Tomás Teijeiro, Paulo Félix, Jesús Presedo, A. Gandara
2009	—	`conf`	A Home-Care PDA-Based Program for the Management of COPD Patients. MIE Tomás Teijeiro, Miguel Tarascó, Paulo Félix, Jesús María Rodríguez Presedo