Other Pages: Google Scholar – DBLP – ACL Anthology – My NCBI

Preprints

  1. Unmasking Database Vulnerabilities: Zero-Knowledge Schema Inference Attacks in Text-to-SQL Systems
    Đ. Klisura, and A. Rios
    arXiv preprint arXiv:2406.14545, 2024.
    [link]

  2. Improving Expert Radiology Report Summarization by Prompting Large Language Models with a Layperson Summary
    X. Zhao, T. Wang, and A. Rios
    arXiv preprint arXiv:2406.14500, 2024.
    [link]

  3. Beyond Text-to-SQL for IoT Defense: A Comprehensive Framework for Querying and Classifying IoT Threats
    R. Pavlich, N. Ebadi, R. Tarbell, B. Linares, A. Tan, R. Humphreys, J.K. Das, R. Ghandiparsi, H. Haley, J. George, R. Slavin, KK. Choo, G. Dietrich, and A. Rios
    arXiv preprint arXiv:2406.17574, 2024.
    [link]

  4. Context Matters: An Empirical Study of the Impact of Contextual Information in Temporal Question Answering Systems
    D. Schumacher, F. Haji, T. Grey, N. Bandlamudi, N. Karnik, G.U. Kumar, J.C. Chiang, P. Rad, N. Vishwamitra, and A. Rios
    arXiv preprint arXiv:2406.19538, 2024.
    [link]

Peer-reviewed Journal Publications

  1. Does Generative Artificial Intelligence Pose a Risk to Performance Validity Test Security?
    S. Lavigne, A. Rios, and J. Davis
    The Clinical Neuropsychologist, 2024.
    [link]

  2. An Exploratory Mixed Methods Study about Teacher Candidates’ Descriptions of Children’s Confusion, Productive Struggle, and Mistakes in an Elementary Mathematics Methods Course
    C. Kalinec-Craig and A. Rios
    The Journal of Mathematical Behavior, 2024.
    [link]

  3. A Marker-based Neural Network System for Extracting Social Determinants of Health
    Xingmeng Zhao and Anthony Rios
    In Journal of the American Medical Informatics Association (JAMIA), 2023.
    [preprint][link]

  4. The Risk of Racial Bias while Tracking Influenza-Related Content on Social Media using Machine Learning
    B. Lwowski and A. Rios
    Journal of the American Medical Informatics Association (JAMIA), 2021. (Featured Article and Editor's Choice)
    [preprint][link]

  5. Cross-registry neural domain adaptation to extract mutational test results from pathology reports
    A. Rios, E.B. Durbin, I. Hands, S.M. Arnold, , D. Shah, S.M. Schwartz, B.H. Goulart and R. Kavuluru
    Journal of Biomedical Informatics, 97, 2019.
    [link]

  6. Neural Transfer Learning for Assigning Diagnosis Codes to EMRs
    A. Rios, R. Kavuluru
    Artificial Intelligence in Medicine. 2019.
    [link]

  7. Data and systems for medication-related text classification and concept normalization from Twitter: Insights from the Social Media Mining for Health (SMM4H) 2017 shared task
    A. Sarker, M. Belousov, J. Friedrichs, K. Hakala, S. Kiritchenko, F Mehryary, S Han, T. Tran, A. Rios, R. Kavuluru, B. de Bruijn, F. Ginter, D. Mahata, S. M. Mohammad, G. Nenadic, G. Gonzalez-Hernandez
    Journal of the American Medical Association (JAMIA). 2018.
    [link]

  8. Extracting chemical-protein relations with ensembles of SVM and deep learning models
    Y. Peng, A. Rios, R. Kavuluru, and Z. Lu
    Database : The Journal of Biological Databases & Curation (2018).
    [link]

  9. Generalizing Biomedical Relation Classification with Neural Adversarial Domain Adaptation
    A. Rios, R. Kavuluru, and Z. Lu
    Bioinformatics 1 (2018): 9.
    [link][pdf][code]

  10. Ordinal Convolutional Neural Networks for Predicting RDoC Positive Valence Psychiatric Symptom Severity Scores
    A. Rios and R. Kavuluru
    Journal of biomedical informatics 75 (2017): S85-S93.
    [link][preprint]

  11. An Empirical Evaluation of Supervised Learning Approaches in Assigning Diagnosis Codes to Electronic Medical Records
    R. Kavuluru, A. Rios, and Y. Lu
    Artificial Intelligence in Medicine 65.2 (2015): 155-166.
    [link][preprint]

Peer-reviewed Conference Publications

For computer science publication venues, conference proceedings are highly selective (20%-40% acceptance rates), and are considered prestigious - sometimes more prestigious than journals. Therefore, highly-selective conferences are generally considered the most respected publication venues within certain communities such as natural language processing (e.g., ACL, NAACL, and EMNLP).

  1. Bike Frames: Understanding the Implicit Portrayal of Cyclists in the News
    X. Zhao, D. Schumacher, S. Nalluri, X. Walton, S. Shrestha, and A. Rios
    To Appear in AAAI ICWSM 2025.
    [preprint]

  2. A Comprehensive Study of Gender Bias in Chemical Named Entity Recognition Models
    Zhao, X., Niazi, A., and Rios, A.
    In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) (pp. 4360-4374).
    [link]

  3. Deciphering Textual Authenticity: A Generalized Strategy through the Lens of Large Language Semantics for Detecting Human vs. Machine-Generated Text
    M. Bethany, B. Wherry, E. Bethany, N. Vishwamitra, A. Rios, and P. Najafirad
    To Appear in the Proceedings of the 2024 Usenix Security, 2024.

  4. Extracting Biomedical Entities from Noisy Audio Transcripts
    N. Ebadi, K. Morgan, A. Tan, B. Linares, S. Osborn, E. Majors, J. Davis, and A. Rios
    In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 2024.
    [link]

  5. Towards Understanding the Generalization of Medical Text-to-SQL Models and Datasets
    R. Tarbell, R. Choo, G. Dietrich, and A. Rios
    In: Proceedings of the AMIA Annual Symposium, AMIA 2023
    [preprint]

  6. Measuring Geographic Performance Disparities of Offensive Language Classifiers.
    B. Lwowski, P. Rad, and A. Rios
    In: Proceedings of the 29th International Conference on Computational Linguistics, COLING 2022.
    [link]

  7. Turning Stocks into Memes: A Dataset for Understanding How Social Communities Can Drive Wall Street
    R. Alvarez, P. Bhatt, X. Zhao, and A. Rios
    ICWSM 2022. AAAI Conference on Web and Social Media.
    [preprint]

  8. Assigning ICD-O-3 Codes to Pathology Reports using Neural Multi-Task Training with Hierarchical Regularization
    A. Rios, E. B. Durbin, I. Hands, and R. Kavuluru
    ACM BCB 2021. 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics.
    [link]

  9. Detecting Machine-Generated Text by Characterizing Linguistic Accommodation in Human-Machine Interactions
    P. Bhatt and A. Rios
    Findings of ACL: ACL-IJCNLP, 2021.
    [link]

  10. An Empirical Study of the Downstream Reliability of Pre-Trained Word Embeddings
    A. Rios and B. Lwowski
    COLING 2020. The 28th International Conference on Computational Linguistics.
    [preprint][link]

  11. FuzzE: Fuzzy Fairness Evaluation of Offensive Language Classifiers on African-American English
    A. Rios
    AAAI 2020. AAAI Conference on Artificial Intelligence.
    [link][preprint]

  12. Complex contagions of information diffusion across social networking platforms
    R. Xiong, Z. Liu, K-K R. Choo, and A. Rios
    AMCIS 2019. Americas Conference on Information Systems.
    [link][pdf]

  13. Few-Shot and Zero-Shot Multi-Label Learning for Structured Label Spaces
    A. Rios and R. Kavuluru
    EMNLP 2018. Conference on Empirical Methods in Natural Language Processing.
    [pdf][preprint][code][video]

  14. EMR Coding with Semi-Parametric Multi-Head Matching Networks
    A. Rios and R. Kavuluru
    Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) (NAACL). Vol. 1. 2018.
    [pdf][preprint][code]

  15. Automatic Assignment of Non-Leaf Medical Subject Headings to Biomedical Articles
    R. Kavuluru and A. Rios
    American Medical Informatics Association Annual Symposium Proceedings (AMIA). 2015.
    [pdf]

  16. Analyzing the Moving Parts of a Large-Scale Multi-Label Text Classication Pipeline: Experiences in Indexing Biomedical Articles
    A. Rios and R. Kavuluru
    IEEE International Conference on Healthcare Informatics (ICHI). IEEE, 2015. (Best Paper Finalist)
    [pdf]

  17. Convolutional Neural Networks for Biomedical Text Classication: Application in Indexing Biomedical Articles
    A. Rios and R. Kavuluru
    ACM Conference on Bioinformatics, Computational Biology and Health Informatics (BCB). ACM, 2015.
    [pdf][code]

  18. A Knowledge-Based Collaborative Clinical Case Mining Framework
    R. Kavuluru, A. Rios, Brandon Kulengowski, and Patrick McNamara
    American Medical Informatics Association Annual Symposium Proceedings (AMIA). 2014. (Distinguished Poster Nomination)
    [pdf]

  19. Supervised Extraction of Diagnosis Codes from EMRs: Role of Feature Selection, Data Selection, and Probabilistic Thresholding
    A. Rios and R. Kavuluru
    IEEE International Conference on Healthcare Informatics (ICHI). IEEE, 2013.
    [pdf]

  20. A Multi-Label Classication Approach to Coding Cancer Information Service Chat Transcripts
    A. Rios, R. Vanderpool, P. Shaw, and R. Kavuluru
    The Twenty-Sixth International Florida Artificial Intelligence Research Society Conference (FLAIRS). 2013.
    [pdf]

Peer-reviewed Workshop Publications

  1. Team UTSA-NLP at SemEval 2024 Task 5: Prompt Ensembling for Argument Reasoning in Civil Procedures with GPT4.
    D. Schumacher and A. Rios
    Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), pages 1293–1301, Mexico City, Mexico. Association for Computational Linguistics.
    [ Link]

  2. Can GPT4 Detect Euphemisms across Multiple Languages?
    T. Firsich and A. Rios
    Proceedings of the 4th Workshop on Figurative Language Processing (FigLang 2024), pages 65–72, Mexico City, Mexico. Association for Computational Linguistics.
    [ Link]

  3. UTSA-NLP at ChemoTimelines 2024: Evaluating Instruction-Tuned Language Models for Temporal Relation Extraction.
    X. Zhao and A. Rios
    Proceedings of the 6th Clinical Natural Language Processing Workshop (ClinicalNLP 2024), pages 604–615, Mexico City, Mexico. Association for Computational Linguistics.
    [ Link]

  4. UTSA NLP at SemEval-2022 Task 4: An Exploration of Simple Ensembles of Transformers, Convolutional, and Recurrent Neural Networks.
    X. Zhao and A. Rios
    Proceedings of BioNLP, ACL, 2023.
    [link]

  5. UTSA-NLP at RadSum23: Multi-modal Retrieval-Based Chest X-Ray Report Summarization
    T. Wang, X. Zhao, A. Rios
    Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval 2022.
    [link]

  6. Quantifying 60 Years of Gender Bias in Biomedical Research with Word Embeddings
    A. Rios, R. Joshi, and H. Shin
    Proceedings of BioNLP, ACL, 2020.
    [pdf]

  7. How Many Users Are Enough? Exploring Semi-Supervision and Stylometric Features to Uncover a Russian Troll Farm
    N. Nasrin, K.K.R Choo, M. Ko, and A. Rios
    Proceedings of the NLP4IF: Censorship, Disinformation, and Propaganda, EMNLP, 2019.
    [pdf][preprint]

  8. Predicting Psychological Health from Childhood Essays with Convolutional Neural Networks for the CLPsych 2018 Shared Task (Team UKNLP)
    A. Rios, T. Tran, and R. Kavuluru
    Proceedings of the Annual Computational Linguistics and Clinical Psychology Workshop (CLPsych), NAACL, 2018.
    [pdf]

  9. Team UKNLP: Detecting ADRs, Classifying Medication In-take Messages, and Normalizing ADR Mentions on Twitter
    S. Han, T. Tran, A. Rios, and R. Kavuluru
    Proceedings of the 2nd Social Media Mining for Health Applications workshop, AMIA, 2017.
    [pdf]

  10. Chemical-Protein Relation Extraction with Ensembles of SVM, CNN, and RNN Models
    Y. Peng, A. Rios, R. Kavuluru, and Z. Lu
    Proceedings of BioCreative VI workshop, Task 5 on text mining chemical-protein interactions (2017).
    [pdf][preprint]

  11. Extracting Drug-Drug Interactions with Word and Character-Level Recurrent Neural Networks
    R. Kavuluru, A. Rios, and T. Tran
    Proceedings of the Fifth IEEE International Conference on Healthcare Informatics, Workshop on Healthcare Knowledge Discovery and Management (ICHI 2017)
    [pdf][code]

Dissertation

Deep Neural Networks for Multi-Label Text Classification: Application to Coding Electronic Medical Records
A. Rios
University of Kentucky.
[link]