Josep Maria Haro

Orcid: 0000-0002-3984-277X

According to our database1, Josep Maria Haro authored at least 13 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024

2023
Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study.
npj Digit. Medicine, 2023

Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model.
CoRR, 2023

2022
Lessons learned from recruiting into a longitudinal remote measurement study in major depressive disorder.
npj Digit. Medicine, 2022

A divisive hierarchical clustering methodology for enhancing the ensemble prediction power in large scale population studies: the ATHLOS project.
Health Inf. Sci. Syst., 2022

2021
Photoplethysmographic Waveform Analysis for Autonomic Reactivity Assessment in Depression.
IEEE Trans. Biomed. Eng., 2021

Predicting Depressive Symptom Severity through Individuals' Nearby Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary Longitudinal Study.
CoRR, 2021

Remote smartphone-based speech collection: acceptance and barriers in individuals with major depressive disorder.
CoRR, 2021

Enhancing the Human Health Status Prediction: The ATHLOS Project.
Appl. Artif. Intell., 2021

Remote Smartphone-Based Speech Collection: Acceptance and Barriers in Individuals with Major Depressive Disorder.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2020
Using smartphones and wearable devices to monitor behavioural changes during COVID-19.
CoRR, 2020

Analysis of Prosodic Features During Cognitive Load in Patients with Depression.
Proceedings of the Conversational Dialogue Systems for the Next Decade, 2020

Blunted Autonomic Reactivity to Mental Stress in Depression Quantified by Nonlinear Cardiorespiratory Coupling Indices.
Proceedings of the Computing in Cardiology, 2020


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