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Peer-reviewed Journal Publications

  1. 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.

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

  3. 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.

  4. 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).

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

  6. 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.

  7. 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.

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. FuzzE: Fuzzy Fairness Evaluation of Offensive Language Classifiers on African-American English
    A. Rios
    To Appear: AAAI 2020. AAAI Conference on Artificial Intelligence.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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)

  7. 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.

  8. 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)

  9. 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.

  10. 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.

Peer-reviewed Workshop Publications

  1. 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
    In EMNLP Workshop on NLP4IF: Censorship, Disinformation, and Propaganda 2019.

  2. 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
    In Fifth Annual Computational Linguistics and Clinical Psychology Workshop (CLPsych) 2018.

  3. 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 at AMIA 2017.

  4. 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).

  5. Extracting Drug-Drug Interactions with Word and Character-Level Recurrent Neural Networks
    R. Kavuluru, A. Rios, and T. Tran
    Fifth IEEE International Conference on Healthcare Informatics, Workshop on Healthcare Knowledge Discovery and Management (ICHI 2017)


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