Jeremy F. Huckins

Orcid: 0000-0003-0106-7808

According to our database1, Jeremy F. Huckins authored at least 10 papers between 2007 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Capturing the College Experience: A Four-Year Mobile Sensing Study of Mental Health, Resilience and Behavior of College Students during the Pandemic.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., March, 2024

2022
GLOBEM: Cross-Dataset Generalization of Longitudinal Human Behavior Modeling.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

First-Gen Lens: Assessing Mental Health of First-Generation Students across Their First Year at College Using Mobile Sensing.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

COVID Student Study: A Year in the Life of College Students during the COVID-19 Pandemic Through the Lens of Mobile Phone Sensing.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021
Hybrid hyperalignment: A single high-dimensional model of shared information embedded in cortical patterns of response and functional connectivity.
NeuroImage, 2021

On the Transition of Social Interaction from In-Person to Online: Predicting Changes in Social Media Usage of College Students during the COVID-19 Pandemic based on Pre-COVID-19 On-Campus Colocation.
Proceedings of the ICMI '21: International Conference on Multimodal Interaction, 2021

2020
Predicting Brain Functional Connectivity Using Mobile Sensing.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

2018
Tracking Depression Dynamics in College Students Using Mobile Phone and Wearable Sensing.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

2008
Novel cell segmentation and online SVM for cell cycle phase identification in automated microscopy.
Bioinform., 2008

2007
Novel Cell Segmentation and Online Learning Algorithms for Cell Phase Identification in Automated Time-lapse Microscopy.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007


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