13 citations · 14 across the 3 of their papers we have counts for
5 papers
Using Open-Ended Stressor Responses to Predict Depressive Symptoms across Demographics
Carlos Aguirre, Mark Dredze, Philip Resnik
Stressors are related to depression, but this relationship is complex. We investigate the relationship between open-ended text responses about stressors and depressive symptoms acr…
Gender and Racial Fairness in Depression Research using Social Media
Carlos Aguirre, Keith Harrigian, Mark Dredze
Multiple studies have demonstrated that behavior on internet-based social media platforms can be indicative of an individual's mental health status. The widespread availability of…
On the State of Social Media Data for Mental Health Research
Keith Harrigian, Carlos Aguirre, Mark Dredze
Data-driven methods for mental health treatment and surveillance have become a major focus in computational science research in the last decade. However, progress in the domain, in…
Pipelines for Procedural Information Extraction from Scientific Literature: Towards Recipes using Machine Learning and Data Science
Huichen Yang, Carlos A. Aguirre, Maria F. De La Torre +10
This paper describes a machine learning and data science pipeline for structured information extraction from documents, implemented as a suite of open-source tools and extensions t…
A Novel Approach for Detection and Ranking of Trendy and Emerging Cyber Threat Events in Twitter Streams
Avishek Bose, Vahid Behzadan, Carlos Aguirre +1
We present a new machine learning and text information extraction approach to detection of cyber threat events in Twitter that are novel (previously non-extant) and developing (mar…