Mark E. Larsen

Orcid: 0000-0002-0272-2053

According to our database1, Mark E. Larsen authored at least 24 papers between 2011 and 2024.

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

Timeline

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PhD thesis 
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Bibliography

2024
Reading Between the Lines: Identifying the Linguistic Markers of Anhedonia for the Stratification of Depression.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023
Evaluating a Human Detection Model in a Behaviour Analysis Pipeline for Suicide Prevention.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
Towards Building a Visual Behaviour Analysis Pipeline for Suicide Detection and Prevention.
Sensors, 2022

Region-Based Trajectory Analysis for Abnormal Behaviour Detection: A Trial Study for Suicide Detection and Prevention.
Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

2021
Quantity and type of peer-reviewed evidence for popular free medical apps: Cross-sectional review.
Int. J. Medical Informatics, 2021

Improved Spatio-temporal Action Localization for Surveillance Videos.
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

2020
Using spatiotemporal distribution of geocoded Twitter data to predict US county-level health indices.
Future Gener. Comput. Syst., 2020

2019
Using science to sell apps: Evaluation of mental health app store quality claims.
npj Digit. Medicine, 2019

Geospatial suicide clusters and emergency responses: An analysis of text messages to a crisis service.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
The relationship between linguistic expression and symptoms of depression, anxiety, and suicidal thoughts: A longitudinal study of blog content.
Dataset, November, 2018

The relationship between linguistic expression and symptoms of depression, anxiety, and suicidal thoughts: A longitudinal study of blog content.
CoRR, 2018

Jointly Predicting Affective and Mental Health Scores Using Deep Neural Networks of Visual Cues on the Web.
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

Apport de la fouille de données pour la prévention du risque suicidaire.
Proceedings of the Extraction et Gestion des Connaissances, 2018

2017
Using linguistic and topic analysis to classify sub-groups of online depression communities.
Multim. Tools Appl., 2017

Estimation of the prevalence of adverse drug reactions from social media.
Int. J. Medical Informatics, 2017

Kernel-based features for predicting population health indices from geocoded social media data.
Decis. Support Syst., 2017

Validation of a smartphone app to map social networks of proximity.
CoRR, 2017

Prediction of Population Health Indices from Social Media using Kernel-based Textual and Temporal Features.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Smartphone app to investigate the relationship between social connectivity and mental health.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2015
We Feel: Mapping Emotion on Twitter.
IEEE J. Biomed. Health Informatics, 2015

Using Bluetooth Low Energy in smartphones to map social networks.
CoRR, 2015

Differentiating Sub-groups of Online Depression-Related Communities Using Textual Cues.
Proceedings of the Web Information Systems Engineering - WISE 2015, 2015

The use of technology in Suicide Prevention.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2011
Mobile health for drug dose optimisation.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011


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