| 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 | 53 | 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 | 51 | 2018 |
| On the state of social media data for mental health research K Harrigian, C Aguirre, M Dredze arXiv preprint arXiv:2011.05233, 2020 | 45 | 2020 |
| Gender and racial fairness in depression research using social media C Aguirre, K Harrigian, M Dredze arXiv preprint arXiv:2103.10550, 2021 | 34 | 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 | 34 | 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 | 26 | 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 | 15 | 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 | 8 | 2021 |
| Qualitative analysis of depression models by demographics C Aguirre, M Dredze Proceedings of the seventh workshop on computational linguistics and …, 2021 | 7 | 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 | 7* | 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 | 5 | 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 | 4 | 2017 |
| Crowdsourcing thumbnail captions via time-constrained methods CA Aguirre, A Mahmood, CM Huang 27th International Conference on Intelligent User Interfaces, 36-48, 2022 | 2 | 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 | 1 | 2023 |
| Using Open-Ended Stressor Responses to Predict Depressive Symptoms across Demographics C Aguirre, M Dredze, P Resnik arXiv preprint arXiv:2211.07932, 2022 | 1 | 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 | | 2023 |
| Generalizing Fairness using Multi-Task Learning without Demographic Information C Aguirre, M Dredze arXiv preprint arXiv:2305.12671, 2023 | | 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 | | 2023 |
| Wearing the Inside Out: Using Long Short-Term Memory Networks and Wearable Data to Identify Human Emotions C Aguirre, MF De La Torre | | 2019 |
Mark DredzeJohns Hopkins UniversityVerified email at cs.jhu.edu
