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Lara Orlandic
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2020 – today
- 2024
- [i5]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
- [j4]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) - [c5]Lara Orlandic, Jérôme Thevenot, Tomás Teijeiro, David Atienza:
A Multimodal Dataset for Automatic Edge-AI Cough Detection. EMBC 2023: 1-7 - [d4]Lara Orlandic, Jérôme Thevenot, Tomás Teijeiro, David Atienza:
A Multimodal Dataset for Automatic Edge-AI Cough Detection. Zenodo, 2023 - 2022
- [c4]Gasser Elbanna, Alice Biryukov, Neil Scheidwasser-Clow, Lara Orlandic, Pablo Mainar, Mikolaj Kegler, Pierre Beckmann, Milos Cernak:
Hybrid Handcrafted and Learnable Audio Representation for Analysis of Speech Under Cognitive and Physical Load. INTERSPEECH 2022: 386-390 - [i4]Gasser Elbanna, Alice Biryukov, Neil Scheidwasser-Clow, Lara Orlandic, Pablo Mainar, Mikolaj Kegler, Pierre Beckmann, Milos Cernak:
Hybrid Handcrafted and Learnable Audio Representation for Analysis of Speech Under Cognitive and Physical Load. CoRR abs/2203.16637 (2022) - [i3]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
- [c3]Lara Orlandic, Adriana Arza Valdés, David Atienza:
Wearable and Continuous Prediction of Passage of Time Perception for Monitoring Mental Health. CBMS 2021: 444-449 - [c2]Beren Semiz, Mehmet Emre Gursoy, Md. Mobashir Hasan Shandhi, Lara Orlandic, Vincent John Mooney, Omer T. Inan:
Automatic Subject Identification Using Scale-Based Ballistocardiogram Signals. MobiHealth 2021: 281-292 - [d3]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] - [d2]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] - [i2]Lara Orlandic, Adriana Arza Valdés, David Atienza:
Wearable and Continuous Prediction of Passage of Time Perception for Monitoring Mental Health. CoRR abs/2105.02808 (2021) - 2020
- [j3]Oludotun Ode, Lara Orlandic, Omer T. Inan:
Towards Continuous and Ambulatory Blood Pressure Monitoring: Methods for Efficient Data Acquisition for Pulse Transit Time Estimation. Sensors 20(24): 7106 (2020) - [j2]Sinan Hersek, Beren Semiz, Md. Mobashir Hasan Shandhi, Lara Orlandic, Omer T. Inan:
A Globalized Model for Mapping Wearable Seismocardiogram Signals to Whole-Body Ballistocardiogram Signals Based on Deep Learning. IEEE J. Biomed. Health Informatics 24(5): 1296-1309 (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] - [i1]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)
2010 – 2019
- 2019
- [c1]Lara Orlandic, Elisabetta De Giovanni, Adriana Arza, Sasan Yazdani, Jean-Marc Vesin, David Atienza:
REWARD: Design, Optimization, and Evaluation of a Real-Time Relative-Energy Wearable R-Peak Detection Algorithm. EMBC 2019: 3341-3347 - 2016
- [j1]Hazar Ashouri, Lara Orlandic, Omer T. Inan:
Unobtrusive Estimation of Cardiac Contractility and Stroke Volume Changes Using Ballistocardiogram Measurements on a High Bandwidth Force Plate. Sensors 16(6): 787 (2016)
Coauthor Index
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last updated on 2024-08-17 23:42 CEST by the dblp team
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