Anthony Rios
Anthony Rios
Assistant Professor in Information Systems and Cyber Security
Verified email at utsa.edu - Homepage
Title
Cited by
Cited by
Year
An empirical evaluation of supervised learning approaches in assigning diagnosis codes to electronic medical records
R Kavuluru, A Rios, Y Lu
Artificial intelligence in medicine 65 (2), 155-166, 2015
922015
Convolutional neural networks for biomedical text classification: application in indexing biomedical articles
A Rios, R Kavuluru
Proceedings of the 6th ACM Conference on Bioinformatics, Computational …, 2015
842015
Few-shot and zero-shot multi-label learning for structured label spaces
A Rios, R Kavuluru
Proceedings of the Conference on Empirical Methods in Natural Language …, 2018
512018
Extracting Drug-Drug Interactions with Word and Character-Level Recurrent Neural Networks
R Kavuluru, A Rios, T Tran
Proceedings of the IEEE International Conference on Healthcare Informatics …, 2017
382017
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, ...
Journal of the American Medical Informatics Association 25 (10), 1274-1283, 2018
362018
Extracting chemical–protein relations with ensembles of SVM and deep learning models
Y Peng, A Rios, R Kavuluru, Z Lu
Database 2018, bay073, 2018
342018
Generalizing biomedical relation classification with neural adversarial domain adaptation
A Rios, R Kavuluru, Z Lu
Bioinformatics 34 (17), 2973-2981, 2018
262018
Chemical-protein relation extraction with ensembles of SVM, CNN, and RNN models
Y Peng, A Rios, R Kavuluru, Z Lu
Proceedings of the BioCreative VI workshop, 147-150, 2017
252017
Supervised extraction of diagnosis codes from EMRs: role of feature selection, data selection, and probabilistic thresholding
A Rios, R Kavuluru
Proceedings of the IEEE International Conference on Healthcare Informatics …, 2013
162013
Ordinal convolutional neural networks for predicting RDoC positive valence psychiatric symptom severity scores
A Rios, R Kavuluru
Journal of Biomedical Informatics 75, S85-S93, 2017
132017
EMR Coding with Semi–Parametric Multi–Head Matching Networks
A Rios, R Kavuluru
Proceedings of NAACL-HLT, Volume 1 (Long Papers) 2018, 2081-2091, 2018
122018
Team UKNLP: Detecting ADRs, classifying medication in-take messages, and normalizing ADR mentions on Twitter
S Han, T Tran, A Rios, R Kavuluru
Proceedings of the 2nd Social Media Mining for Health Research and …, 2017
122017
Neural transfer learning for assigning diagnosis codes to EMRs
A Rios, R Kavuluru
Artificial Intelligence in Medicine 96, 116-122, 2019
102019
Analyzing the moving parts of a large-scale multi-label text classification pipeline: experiences in indexing biomedical articles
A Rios, R Kavuluru
2015 International Conference on Healthcare Informatics (ICHI), 1-7, 2015
52015
FuzzE: Fuzzy Fairness Evaluation of Offensive Language Classifiers on African-American English
A Rios
AAAI Conference on Artificial Intelligence, AAAI 34 (01), 881-889, 2020
42020
Proceedings of the 6th ACM Conference on Bioinformatics, Computational Biology and Health Informatics
A Rios, R Kavuluru
42015
Automatic assignment of non-leaf mesh terms to biomedical articles
R Kavuluru, A Rios
AMIA Annual Symposium Proceedings 2015, 697, 2015
42015
Quantifying 60 Years of Gender Bias in Biomedical Research with Word Embeddings
A Rios, R Joshi, H Shin
Proceedings of the 2020 BioNLP Workshop, ACL, 1-13, 2020
22020
Cross-registry neural domain adaptation to extract mutational test results from pathology reports
A Rios, EB Durbin, I Hands, SM Arnold, D Shah, SM Schwartz, ...
Journal of Biomedical Informatics 97, 103267, 2019
22019
A Multi-Label Classification Approach for Coding Cancer Information Service Chat Transcripts.
A Rios, R Vanderpool, P Shaw, R Kavuluru
Proceedings of the 26th International Florida Artificial Intelligence …, 2013
22013
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