Lara Orlandic

According to our database, Lara Orlandic authored at least 15 papers between 2016 and 2024.

Collaborative distances:

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

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

CoRR, 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

A Multimodal Dataset for Automatic Edge-AI Cough Detection.

Lara Orlandic, Jérôme Thevenot, Tomás Teijeiro, David Atienza

Dataset, January, 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

Hybrid Handcrafted and Learnable Audio Representation for Analysis of Speech Under Cognitive and Physical Load.

Gasser Elbanna, Alice Biryukov, Neil Scheidwasser-Clow, Lara Orlandic, Pablo Mainar, Mikolaj Kegler, Pierre Beckmann, Milos Cernak

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

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

Automatic Subject Identification Using Scale-Based Ballistocardiogram Signals.

Beren Semiz, Mehmet Emre Gursoy, Md. Mobashir Hasan Shandhi, Lara Orlandic, Vincent John Mooney, Omer T. Inan

Proceedings of the Wireless Mobile Communication and Healthcare, 2021

Wearable and Continuous Prediction of Passage of Time Perception for Monitoring Mental Health.

Lara Orlandic, Adriana Arza Valdés, David Atienza

Proceedings of the 34th IEEE International Symposium on Computer-Based Medical 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

A Globalized Model for Mapping Wearable Seismocardiogram Signals to Whole-Body Ballistocardiogram Signals Based on Deep Learning.

Sinan Hersek, Beren Semiz, Md. Mobashir Hasan Shandhi, Lara Orlandic, Omer T. Inan

IEEE J. Biomed. Health Informatics, 2020

Towards Continuous and Ambulatory Blood Pressure Monitoring: Methods for Efficient Data Acquisition for Pulse Transit Time Estimation.

Oludotun Ode, Lara Orlandic, Omer T. Inan

Sensors, 2020

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

Lara Orlandic, Tomás Teijeiro, David Atienza

CoRR, 2020

2019

REWARD: Design, Optimization, and Evaluation of a Real-Time Relative-Energy Wearable R-Peak Detection Algorithm.

Lara Orlandic, Elisabetta De Giovanni, Adriana Arza, Sasan Yazdani, Jean-Marc Vesin, David Atienza

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2016

Unobtrusive Estimation of Cardiac Contractility and Stroke Volume Changes Using Ballistocardiogram Measurements on a High Bandwidth Force Plate.

Hazar Ashouri, Lara Orlandic, Omer T. Inan

Sensors, 2016