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Tomás Teijeiro
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Journal Articles
- 2024
- [j12]Una Pale, Tomás Teijeiro, Sylvain Rheims, Philippe Ryvlin, David Atienza:
Combining general and personal models for epilepsy detection with hyperdimensional computing. Artif. Intell. Medicine 148: 102754 (2024) - [j11]Saleh Baghersalimi, Tomás Teijeiro, Amir Aminifar, David Atienza:
Decentralized Federated Learning for Epileptic Seizures Detection in Low-Power Wearable Systems. IEEE Trans. Mob. Comput. 23(5): 6392-6407 (2024) - 2023
- [j10]Silvio Zanoli, Giovanni Ansaloni, Tomás Teijeiro, David Atienza:
Event-based sampled ECG morphology reconstruction through self-similarity. Comput. Methods Programs Biomed. 240: 107712 (2023) - [j9]Lara Orlandic, Tomás Teijeiro, David Atienza:
A semi-supervised algorithm for improving the consistency of crowdsourced datasets: The COVID-19 case study on respiratory disorder classification. Comput. Methods Programs Biomed. 241: 107743 (2023) - [j8]Silvio Zanoli, Flavio Ponzina, Tomás Teijeiro, Alexandre Levisse, David Atienza:
An Error-Based Approximation Sensing Circuit for Event-Triggered Low-Power Wearable Sensors. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(2): 489-501 (2023) - [j7]Elisabetta De Giovanni, Tomás Teijeiro, Grégoire P. Millet, David Atienza:
Adaptive R-Peak Detection on Wearable ECG Sensors for High-Intensity Exercise. IEEE Trans. Biomed. Eng. 70(3): 941-953 (2023) - 2022
- [j6]Saleh Baghersalimi, Tomás Teijeiro, David Atienza, Amir Aminifar:
Personalized Real-Time Federated Learning for Epileptic Seizure Detection. IEEE J. Biomed. Health Informatics 26(2): 898-909 (2022) - 2021
- [j5]Valentin Gabeff, Tomás Teijeiro, Marina Zapater, Leila Cammoun, Sylvain Rheims, Philippe Ryvlin, David Atienza:
Interpreting deep learning models for epileptic seizure detection on EEG signals. Artif. Intell. Medicine 117: 102084 (2021) - 2020
- [j4]Grégoire Surrel, Tomás Teijeiro, Amir Aminifar, David Atienza, Matthieu Chevrier:
Event-Triggered Sensing for High-Quality and Low-Power Cardiovascular Monitoring Systems. IEEE Des. Test 37(5): 85-93 (2020) - 2018
- [j3]Tomás Teijeiro, Paulo Félix:
On the adoption of abductive reasoning for time series interpretation. Artif. Intell. 262: 163-188 (2018) - [j2]Tomás Teijeiro, Paulo Félix, Jesús Presedo, Daniel Castro:
Heartbeat Classification Using Abstract Features From the Abductive Interpretation of the ECG. IEEE J. Biomed. Health Informatics 22(2): 409-420 (2018) - 2013
- [j1]Tomás Teijeiro, Paulo Félix, Jesús María Rodríguez Presedo, Carlos Zamarrón:
An open platform for the protocolization of home medical supervision. Expert Syst. Appl. 40(7): 2607-2614 (2013)
Conference and Workshop Papers
- 2023
- [c15]Lara Orlandic, Jérôme Thevenot, Tomás Teijeiro, David Atienza:
A Multimodal Dataset for Automatic Edge-AI Cough Detection. EMBC 2023: 1-7 - [c14]Una Pale, Tomás Teijeiro, David Atienza:
Importance of methodological choices in data manipulation for validating epileptic seizure detection models. EMBC 2023: 1-7 - 2022
- [c13]Una Pale, Tomás Teijeiro, David Atienza:
ExG Signal Feature Selection Using Hyperdimensional Computing Encoding. BIBM 2022: 1688-1693 - [c12]Lorenzo Ferretti, Giovanni Ansaloni, Renaud Marquis, Tomás Teijeiro, Philippe Ryvlin, David Atienza, Laura Pozzi:
INCLASS: Incremental Classification Strategy for Self-Aware Epileptic Seizure Detection. DATE 2022: 1449-1454 - [c11]Una Pale, Tomás Teijeiro, David Atienza:
Exploration of Hyperdimensional Computing Strategies for Enhanced Learning on Epileptic Seizure Detection. EMBC 2022: 4076-4082 - [c10]William Andrew Simon, Una Pale, Tomás Teijeiro, David Atienza:
HDTorch: Accelerating Hyperdimensional Computing with GP-GPUs for Design Space Exploration. ICCAD 2022: 83:1-83:8 - 2021
- [c9]Farnaz Forooghifar, Amin Aminifar, Tomás Teijeiro, Amir Aminifar, Jesper Jeppesen, Sándor Beniczky, David Atienza:
Self-Aware Anomaly-Detection for Epilepsy Monitoring on Low-Power Wearable Electrocardiographic Devices. AICAS 2021: 1-4 - [c8]Una Pale, Tomás Teijeiro, David Atienza:
Systematic Assessment of Hyperdimensional Computing for Epileptic Seizure Detection. EMBC 2021: 6361-6367 - 2020
- [c7]Tomás Teijeiro:
Knowledge, Machine Learning and Atrial Fibrillation: More Ingredients for a Tastier Cocktail. CinC 2020: 1-4 - [c6]Silvio Zanoli, Tomás Teijeiro, Fabio Montagna, David Atienza:
An Event-Based System for Low-Power ECG QRS Complex Detection. DATE 2020: 258-263 - 2017
- [c5]Tomás Teijeiro, Constantino A. García, Daniel Castro, Paulo Félix:
Arrhythmia Classification from the Abductive Interpretation of Short Single-Lead ECG Records. CinC 2017 - 2015
- [c4]Tomás Teijeiro, Paulo Félix, Jesús Presedo:
A Noise Robust QRS Delineation Method Based on Path Simplification. CinC 2015: 209-212 - 2014
- [c3]Tomás Teijeiro, Paulo Félix, Jesús Presedo:
Using Temporal Abduction for Biosignal Interpretation: A Case Study on QRS Detection. ICHI 2014: 334-339 - 2011
- [c2]Tomás Teijeiro, Paulo Félix, Jesús Presedo, A. Gandara:
SERVANDO: An extensible platform for home-care services providing. EMBC 2011: 8191-8194 - 2009
- [c1]Tomás Teijeiro, Miguel Tarascó, Paulo Félix, Jesús María Rodríguez Presedo:
A Home-Care PDA-Based Program for the Management of COPD Patients. MIE 2009: 439
Data and Artifacts
- 2023
- [d6]Lara Orlandic, Jérôme Thevenot, Tomás Teijeiro, David Atienza:
A Multimodal Dataset for Automatic Edge-AI Cough Detection. Zenodo, 2023 - 2021
- [d5]Elisabetta De Giovanni, Tomás Teijeiro, David Meier, Grégoire P. Millet, David Atienza:
ECG in High Intensity Exercise Dataset. Zenodo, 2021 - [d4]Lara Orlandic, Tomás Teijeiro, David Atienza:
The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithms. Version 2.0. Zenodo, 2021 [all versions] - [d3]Lara Orlandic, Tomás Teijeiro, David Atienza:
The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithms. Version 3.0. Zenodo, 2021 [all versions] - [d2]Silvio Zanoli, Tomás Teijeiro Campo, David Atienza Alonso:
Physiological signals labeler. Zenodo, 2021 - 2020
- [d1]Lara Orlandic, Tomás Teijeiro, David Atienza:
The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithms. Version 1.0. Zenodo, 2020 [all versions]
Informal and Other Publications
- 2024
- [i21]Christodoulos Kechris, Jérôme Thevenot, Tomás Teijeiro, Vincent A. Stadelmann, Nicola A. Maffiuletti, David Atienza:
Acoustical Features as Knee Health Biomarkers: A Critical Analysis. CoRR abs/2405.15085 (2024) - [i20]Lara Orlandic, Jonathan Dan, Jérôme Thevenot, Tomás Teijeiro, Alain Sauty, David Atienza:
How to Count Coughs: An Event-Based Framework for Evaluating Automatic Cough Detection Algorithm Performance. CoRR abs/2406.01529 (2024) - 2023
- [i19]Una Pale, Tomás Teijeiro, David Atienza:
Importance of methodological choices in data manipulation for validating epileptic seizure detection models. CoRR abs/2302.10672 (2023) - [i18]Una Pale, Tomás Teijeiro, David Atienza:
Combining General and Personalized Models for Epilepsy Detection with Hyperdimensional Computing. CoRR abs/2303.14745 (2023) - [i17]Tomás Teijeiro, Jamie M. Taylor, Ali Hashemian, David Pardo:
Machine Learning Discovery of Optimal Quadrature Rules for Isogeometric Analysis. CoRR abs/2304.01802 (2023) - 2022
- [i16]Una Pale, Tomás Teijeiro, David Atienza:
Exploration of Hyperdimensional Computing Strategies for Enhanced Learning on Epileptic Seizure Detection. CoRR abs/2201.09759 (2022) - [i15]Una Pale, Tomás Teijeiro, David Atienza:
Hyperdimensional computing encoding for feature selection on the use case of epileptic seizure detection. CoRR abs/2205.07654 (2022) - [i14]William Andrew Simon, Una Pale, Tomás Teijeiro, David Atienza:
HDTorch: Accelerating Hyperdimensional Computing with GP-GPUs for Design Space Exploration. CoRR abs/2206.04746 (2022) - [i13]Mostafa Shahriari, David Pardo, S. Kargaran, Tomás Teijeiro:
Automated machine learning for borehole resistivity measurements. CoRR abs/2207.09849 (2022) - [i12]Saleh Baghersalimi, Alireza Amirshahi, Farnaz Forooghifar, Tomás Teijeiro, Amir Aminifar, David Atienza:
Many-to-One Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Internet of Things Systems. CoRR abs/2208.00885 (2022) - [i11]Lara Orlandic, Tomás Teijeiro, David Atienza:
A Semi-Supervised Algorithm for Improving the Consistency of Crowdsourced Datasets: The COVID-19 Case Study on Respiratory Disorder Classification. CoRR abs/2209.04360 (2022) - 2021
- [i10]Una Pale, Tomás Teijeiro, David Atienza:
Systematic Assessment of Hyperdimensional Computing for Epileptic Seizure Detection. CoRR abs/2105.00934 (2021) - [i9]Una Pale, Tomás Teijeiro, David Atienza:
Multi-Centroid Hyperdimensional Computing Approach for Epileptic Seizure Detection. CoRR abs/2111.08463 (2021) - [i8]Elisabetta De Giovanni, Tomás Teijeiro, Grégoire P. Millet, David Atienza:
Adaptive R-Peak Detection on Wearable ECG Sensors for High-Intensity Exercise. CoRR abs/2112.04369 (2021) - 2020
- [i7]Tomás Teijeiro, Paulo Félix:
Construe: a software solution for the explanation-based interpretation of time series. CoRR abs/2003.07596 (2020) - [i6]Lara Orlandic, Tomás Teijeiro, David Atienza:
The COUGHVID crowdsourcing dataset: A corpus for the study of large-scale cough analysis algorithms. CoRR abs/2009.11644 (2020) - [i5]Valentin Gabeff, Tomás Teijeiro, Marina Zapater, Leila Cammoun, Sylvain Rheims, Philippe Ryvlin, David Atienza:
Interpreting Deep Learning Models for Epileptic Seizure Detection on EEG signals. CoRR abs/2012.11933 (2020) - 2018
- [i4]Tomás Teijeiro, Constantino A. García, Daniel Castro, Paulo Félix:
Abductive reasoning as the basis to reproduce expert criteria in ECG Atrial Fibrillation identification. CoRR abs/1802.05998 (2018) - 2017
- [i3]Tomás Teijeiro, Constantino A. García, Daniel Castro, Paulo Félix:
Arrhythmia Classification from the Abductive Interpretation of Short Single-Lead ECG Records. CoRR abs/1711.03892 (2017) - 2016
- [i2]Tomás Teijeiro, Paulo Félix:
On the adoption of abductive reasoning for time series interpretation. CoRR abs/1609.05632 (2016) - 2015
- [i1]Tomás Teijeiro, Paulo Félix, Jesús Presedo:
Using temporal abduction for biosignal interpretation: A case study on QRS detection. CoRR abs/1502.01497 (2015)
Coauthor Index
aka: David Atienza Alonso
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last updated on 2024-08-18 00:32 CEST by the dblp team
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