Carlos Alejandro Aguirre
Carlos Alejandro Aguirre
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Cited by
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Do models of mental health based on social media data generalize?
K Harrigian, C Aguirre, M Dredze
Findings of the association for computational linguistics: EMNLP 2020, 3774-3788, 2020
Corpus and deep learning classifier for collection of cyber threat indicators in twitter stream
V Behzadan, C Aguirre, A Bose, W Hsu
2018 IEEE International Conference on Big Data (Big Data), 5002-5007, 2018
On the state of social media data for mental health research
K Harrigian, C Aguirre, M Dredze
arXiv preprint arXiv:2011.05233, 2020
Gender and racial fairness in depression research using social media
C Aguirre, K Harrigian, M Dredze
arXiv preprint arXiv:2103.10550, 2021
A novel approach for detection and ranking of trendy and emerging cyber threat events in twitter streams
A Bose, V Behzadan, C Aguirre, WH Hsu
Proceedings of the 2019 IEEE/ACM International Conference on Advances in …, 2019
Bernice: A multilingual pre-trained encoder for Twitter
A DeLucia, S Wu, A Mueller, C Aguirre, P Resnik, M Dredze
Proceedings of the 2022 conference on empirical methods in natural language …, 2022
Pipelines for procedural information extraction from scientific literature: towards recipes using machine learning and data science
H Yang, CA Aguirre, F Maria, D Christensen, L Bobadilla, E Davich, ...
2019 International conference on document analysis and recognition workshops …, 2019
Towards understanding the role of gender in deploying social media-based mental health surveillance models
E Sherman, K Harrigian, C Aguirre, M Dredze
Proceedings of the Seventh Workshop on Computational Linguistics and …, 2021
Qualitative analysis of depression models by demographics
C Aguirre, M Dredze
Proceedings of the seventh workshop on computational linguistics and …, 2021
MATESC: Metadata-Analytic Text Extractor and Section Classifier for Scientific Publications.
F Maria, D La Torre, CA Aguirre, BAM Anshutz, WH Hsu
KDIR, 259-265, 2018
Towards Faster Annotation Interfaces for Learning to Filter in Information Extraction and Search.
CA Aguirre, S Coen, F Maria, D La Torre, WH Hsu, M Rys
IUI Workshops, 2018
Learning to filter documents for information extraction using rapid annotation
CA Aguirre, S Gullapalli, F Maria, A Lam, JL Weese, WH Hsu
2017 International Conference on Machine Learning and Data Science (MLDS), 85-90, 2017
Crowdsourcing thumbnail captions via time-constrained methods
CA Aguirre, A Mahmood, CM Huang
27th International Conference on Intelligent User Interfaces, 36-48, 2022
Selecting shots for demographic fairness in few-shot learning with large language models
C Aguirre, K Sasse, I Cachola, M Dredze
arXiv preprint arXiv:2311.08472, 2023
Using Open-Ended Stressor Responses to Predict Depressive Symptoms across Demographics
C Aguirre, M Dredze, P Resnik
arXiv preprint arXiv:2211.07932, 2022
Crowdsourcing Thumbnail Captions: Data Collection and Validation
C Aguirre, S Cao, A Mahmood, CM Huang
ACM Transactions on Interactive Intelligent Systems 13 (3), 1-28, 2023
Generalizing Fairness using Multi-Task Learning without Demographic Information
C Aguirre, M Dredze
arXiv preprint arXiv:2305.12671, 2023
Severe Symptoms and Suicidal Ideation in People Without a Psychiatric Diagnosis: Findings From an Online Cohort Study
C Frazier, P Resnik, C Espy-Wilson, CA Aguirre, DL Kelly
Wearing the Inside Out: Using Long Short-Term Memory Networks and Wearable Data to Identify Human Emotions
C Aguirre, MF De La Torre
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