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Carlos Alejandro Aguirre
Carlos Alejandro Aguirre
Verified email at jhu.edu - Homepage
Title
Cited by
Cited by
Year
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
672018
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
662020
On the state of social media data for mental health research
K Harrigian, C Aguirre, M Dredze
arXiv preprint arXiv:2011.05233, 2020
592020
Gender and racial fairness in depression research using social media
C Aguirre, K Harrigian, M Dredze
arXiv preprint arXiv:2103.10550, 2021
472021
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
422022
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
382019
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
162019
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
112021
Qualitative analysis of depression models by demographics
C Aguirre, M Dredze
Proceedings of the seventh workshop on computational linguistics and …, 2021
112021
Avishek Bose, and William Hsu.“Corpus and Deep Learning Classifier for Collection of Cyber Threat Indicators in Twitter Stream”
V Behzadan, C Aguirre
2018 IEEE International Conference on Big Data (Big Data), 5002-5007, 0
11
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
7*2018
Piekm: Ml-based procedural information extraction and knowledge management system for materials science literature
H Yang, C Aguirre, W Hsu
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the …, 2022
62022
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
62018
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
42017
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
32023
Crowdsourcing thumbnail captions via time-constrained methods
CA Aguirre, A Mahmood, CM Huang
Proceedings of the 27th International Conference on Intelligent User …, 2022
22022
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
12023
Generalizing fairness using multi-task learning without demographic information
C Aguirre, M Dredze
arXiv preprint arXiv 2305, 2023
12023
Using Open-Ended Stressor Responses to Predict Depressive Symptoms across Demographics
C Aguirre, M Dredze, P Resnik
arXiv preprint arXiv:2211.07932, 2022
12022
Leveraging Cannabis-Centric Reddit Communities to Explore Patterns of Cannabis Product, Modes and Frequency of Use Between 2010-2019
S Brenneke, A DeLucia, GP Wightman, C Aguirre, J Thrul, M Meacham
Drug and Alcohol Dependence 267, 111963, 2025
2025
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