Vaibhav A. Narayan

According to our database1, Vaibhav A. Narayan authored at least 20 papers between 2005 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Automatic Assessment of the 2-Minute Walk Distance for Remote Monitoring of People with Multiple Sclerosis.
Sensors, July, 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
Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder.
Pattern Recognit., 2022

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

The utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditions.
Comput. Methods Programs Biomed., 2022

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

Fitbeat: COVID-19 Estimation based on Wristband Heart Rate.
CoRR, 2021

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

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

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

2018
Mobile and pervasive computing technologies and the future of Alzheimer's clinical trials.
npj Digit. Medicine, 2018

2015
Melancholic Depression Prediction by Identifying Representative Features in Metabolic and Microarray Profiles with Missing Values.
Proceedings of the Biocomputing 2015: Proceedings of the Pacific Symposium, 2015

2014
Sparse Generalized Functional Linear Model for Predicting Remission Status of Depression Patients.
Proceedings of the Biocomputing 2014: Proceedings of the Pacific Symposium, 2014

2013
Modeling disease progression via multi-task learning.
NeuroImage, 2013

2012
Multi-source feature learning for joint analysis of incomplete multiple heterogeneous neuroimaging data.
NeuroImage, 2012

Modeling disease progression via fused sparse group lasso.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2005
A Rule-Based Algorithm for Mining Differentially Expressed Ions from High-Throughput LCMS Data.
Proceedings of The 2005 International Conference on Data Mining, 2005

Predicting Continuous Epitopes in Proteins.
Proceedings of the Fourth International IEEE Computer Society Computational Systems Bioinformatics Conference Workshops & Poster Abstracts, 2005


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