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2020 – today
- 2024
[c27]Xingmeng Zhao
, Anthony Rios:
UTSA-NLP at ChemoTimelines 2024: Evaluating Instruction-Tuned Language Models for Temporal Relation Extraction. ClinicalNLP@NAACL 2024: 604-615- [c26]Nima Ebadi, Kellen Morgan, Adrian Tan, Billy Linares, Sheri Osborn, Emma Majors, Jeremy Davis, Anthony Rios:
Extracting Biomedical Entities from Noisy Audio Transcripts. LREC/COLING 2024: 7023-7034 - [c25]Xingmeng Zhao, Ali Niazi, Anthony Rios:
A Comprehensive Study of Gender Bias in Chemical Named Entity Recognition Models. NAACL-HLT 2024: 4360-4374 - [c24]Daniel Schumacher, Anthony Rios:
Team UTSA-NLP at SemEval 2024 Task 5: Prompt Ensembling for Argument Reasoning in Civil Procedures with GPT4. SemEval@NAACL 2024: 1293-1301 - [c23]Mazal Bethany, Brandon Wherry, Emet Bethany, Nishant Vishwamitra, Anthony Rios, Peyman Najafirad:
Deciphering Textual Authenticity: A Generalized Strategy through the Lens of Large Language Semantics for Detecting Human vs. Machine-Generated Text. USENIX Security Symposium 2024 - [i21]Nima Ebadi, Kellen Morgan, Adrian Tan, Billy Linares, Sheri Osborn, Emma Majors, Jeremy Davis, Anthony Rios:
Extracting Biomedical Entities from Noisy Audio Transcripts. CoRR abs/2403.17363 (2024) - [i20]Daniel Schumacher, Anthony Rios:
Team UTSA-NLP at SemEval 2024 Task 5: Prompt Ensembling for Argument Reasoning in Civil Procedures with GPT4. CoRR abs/2404.01961 (2024) - [i19]Xingmeng Zhao, Tongnian Wang, Anthony Rios:
Improving Expert Radiology Report Summarization by Prompting Large Language Models with a Layperson Summary. CoRR abs/2406.14500 (2024) - [i18]Dorde Klisura, Anthony Rios:
Unmasking Database Vulnerabilities: Zero-Knowledge Schema Inference Attacks in Text-to-SQL Systems. CoRR abs/2406.14545 (2024) - [i17]Ryan Pavlich, Nima Ebadi, Richard Tarbell, Billy Linares, Adrian Tan, Rachael Humphreys, Jayanta Kumar Das, Rambod Ghandiparsi, Hannah Haley, Jerris George, Rocky Slavin, Kim-Kwang Raymond Choo, Glenn Dietrich, Anthony Rios:
Beyond Text-to-SQL for IoT Defense: A Comprehensive Framework for Querying and Classifying IoT Threats. CoRR abs/2406.17574 (2024) - [i16]Daniel Schumacher, Fatemeh Haji, Tara Grey, Niharika Bandlamudi, Nupoor Karnik, Gagana Uday Kumar, Jason Cho-Yu Chiang, Paul Rad, Nishant Vishwamitra, Anthony Rios:
Context Matters: An Empirical Study of the Impact of Contextual Information in Temporal Question Answering Systems. CoRR abs/2406.19538 (2024) - [i15]Mazal Bethany, Emet Bethany, Brandon Wherry, Jason Cho-Yu Chiang, Nishant Vishwamitra, Anthony Rios, Peyman Najafirad:
Enhancing Event Reasoning in Large Language Models through Instruction Fine-Tuning with Semantic Causal Graphs. CoRR abs/2409.00209 (2024) - [i14]Fatemeh Haji, Mazal Bethany, Maryam Tabar, Jason Cho-Yu Chiang, Anthony Rios, Peyman Najafirad:
Improving LLM Reasoning with Multi-Agent Tree-of-Thought Validator Agent. CoRR abs/2409.11527 (2024) - [i13]James Ford, Xingmeng Zhao, Daniel Schumacher, Anthony Rios:
Charting the Future: Using Chart Question-Answering for Scalable Evaluation of LLM-Driven Data Visualizations. CoRR abs/2409.18764 (2024) - 2023
- [j8]Xingmeng Zhao, Anthony Rios:
A marker-based neural network system for extracting social determinants of health. J. Am. Medical Informatics Assoc. 30(8): 1398-1407 (2023) - [c22]Tongnian Wang, Xingmeng Zhao, Anthony Rios:
UTSA-NLP at RadSum23: Multi-modal Retrieval-Based Chest X-Ray Report Summarization. BioNLP@ACL 2023: 557-566 - [i12]Xingmeng Zhao, Xavier Walton, Suhana Shrestha, Anthony Rios:
Bike Frames: Understanding the Implicit Portrayal of Cyclists in the News. CoRR abs/2301.06178 (2023) - [i11]Richard Tarbell, Kim-Kwang Raymond Choo, Glenn Dietrich, Anthony Rios:
Towards Understanding the Generalization of Medical Text-to-SQL Models and Datasets. CoRR abs/2303.12898 (2023) - [i10]Xingmeng Zhao, Tongnian Wang, Sheri Osborn, Anthony Rios:
BabyStories: Can Reinforcement Learning Teach Baby Language Models to Write Better Stories? CoRR abs/2310.16681 (2023) - 2022
- [c21]Nima Ebadi, Anthony Rios, Peyman Najafirad:
Mitigating Data Shift of Biomedical Research Articles for Information Retrieval and Semantic Indexing. SDP@COLING 2022: 138-151 - [c20]Brandon Lwowski, Paul Rad, Anthony Rios:
Measuring Geographic Performance Disparities of Offensive Language Classifiers. COLING 2022: 6600-6616 - [c19]Richard Alvarez, Paras Bhatt, Xingmeng Zhao, Anthony Rios:
Turning Stocks into Memes: A Dataset for Understanding How Social Communities Can Drive Wall Street. ICWSM 2022: 1192-1200 - [c18]Xingmeng Zhao, Anthony Rios:
UTSA NLP at SemEval-2022 Task 4: An Exploration of Simple Ensembles of Transformers, Convolutional, and Recurrent Neural Networks. SemEval@NAACL 2022: 379-386 - [i9]Richard Alvarez, Paras Bhatt, Xingmeng Zhao, Anthony Rios:
Turning Stocks into Memes: A Dataset for Understanding How Social Communities Can Drive Wall Street. CoRR abs/2203.08694 (2022) - [i8]Xingmeng Zhao, Anthony Rios:
UTSA NLP at SemEval-2022 Task 4: An Exploration of Simple Ensembles of Transformers, Convolutional, and Recurrent Neural Networks. CoRR abs/2203.14920 (2022) - [i7]Brandon Lwowski, Paul Rad, Anthony Rios:
Measuring Geographic Performance Disparities of Offensive Language Classifiers. CoRR abs/2209.07353 (2022) - [i6]Xingmeng Zhao, Ali Niazi, Anthony Rios:
A Comprehensive Study of Gender Bias in Chemical Named Entity Recognition Models. CoRR abs/2212.12799 (2022) - [i5]Xingmeng Zhao, Anthony Rios:
A Marker-based Neural Network System for Extracting Social Determinants of Health. CoRR abs/2212.12800 (2022) - [i4]Sonam Singh, Anthony Rios:
Linguistic Elements of Engaging Customer Service Discourse on Social Media. CoRR abs/2212.12801 (2022) - 2021
- [j7]Brandon Lwowski, Anthony Rios:
The risk of racial bias while tracking influenza-related content on social media using machine learning. J. Am. Medical Informatics Assoc. 28(4): 839-849 (2021) - [c17]Paras Bhatt, Anthony Rios:
Detecting Bot-Generated Text by Characterizing Linguistic Accommodation in Human-Bot Interactions. ACL/IJCNLP (Findings) 2021: 3235-3247 - [c16]Anthony Rios, Eric B. Durbin, Isaac Hands, Ramakanth Kavuluru:
Assigning ICD-O-3 codes to pathology reports using neural multi-task training with hierarchical regularization. BCB 2021: 32:1-32:10 - [i3]Paras Bhatt, Anthony Rios:
Detecting Bot-Generated Text by Characterizing Linguistic Accommodation in Human-Bot Interactions. CoRR abs/2106.01170 (2021) - [i2]Mir Mehedi A. Pritom, Rosana Montanez Rodriguez, Asad Ali Khan, Sebastian A. Nugroho, Esra'a Alrashydah, Beatrice N. Ruiz, Anthony Rios:
Case Study on Detecting COVID-19 Health-Related Misinformation in Social Media. CoRR abs/2106.06811 (2021) - 2020
- [c15]Anthony Rios:
FuzzE: Fuzzy Fairness Evaluation of Offensive Language Classifiers on African-American English. AAAI 2020: 881-889 - [c14]Anthony Rios, Reenam Joshi, Hejin Shin:
Quantifying 60 Years of Gender Bias in Biomedical Research with Word Embeddings. BioNLP 2020: 1-13 - [c13]Anthony Rios, Brandon Lwowski:
An Empirical Study of the Downstream Reliability of Pre-Trained Word Embeddings. COLING 2020: 3371-3388
2010 – 2019
- 2019
- [j6]Anthony Rios, Ramakanth Kavuluru:
Neural transfer learning for assigning diagnosis codes to EMRs. Artif. Intell. Medicine 96: 116-122 (2019) - [j5]Anthony Rios, Eric B. Durbin, Isaac Hands, Susanne M. Arnold, Darshil Shah, Stephen M. Schwartz, Bernardo H. L. Goulart, Ramakanth Kavuluru:
Cross-registry neural domain adaptation to extract mutational test results from pathology reports. J. Biomed. Informatics 97 (2019) - [c12]Rachael Ruizhu Xiong, Charles Zhechao Liu, Kim-Kwang Raymond Choo, Anthony Rios:
Complex contagions of information diffusion across social networking platforms. AMCIS 2019 - 2018
- [j4]Yifan Peng, Anthony Rios, Ramakanth Kavuluru, Zhiyong Lu:
Extracting chemical-protein relations with ensembles of SVM and deep learning models. Database J. Biol. Databases Curation 2018: bay073 (2018) - [j3]Anthony Rios, Ramakanth Kavuluru, Zhiyong Lu:
Generalizing biomedical relation classification with neural adversarial domain adaptation. Bioinform. 34(17): 2973-2981 (2018) - [j2]Abeed Sarker, Maksim Belousov, Jasper Friedrichs, Kai Hakala, Svetlana Kiritchenko, Farrokh Mehryary, Sifei Han, Tung Tran, Anthony Rios, Ramakanth Kavuluru, Berry de Bruijn, Filip Ginter, Debanjan Mahata, Saif M. Mohammad, Goran Nenadic, Graciela Gonzalez-Hernandez:
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. J. Am. Medical Informatics Assoc. 25(10): 1274-1283 (2018) - [c11]Anthony Rios, Tung Tran, Ramakanth Kavuluru:
Predicting Psychological Health from Childhood Essays with Convolutional Neural Networks for the CLPsych 2018 Shared Task (Team UKNLP). CLPsych@NAACL-HTL 2018: 107-112 - [c10]Anthony Rios, Ramakanth Kavuluru:
Few-Shot and Zero-Shot Multi-Label Learning for Structured Label Spaces. EMNLP 2018: 3132-3142 - [c9]Anthony Rios, Ramakanth Kavuluru:
EMR Coding with Semi-Parametric Multi-Head Matching Networks. NAACL-HLT 2018: 2081-2091 - [i1]Yifan Peng, Anthony Rios, Ramakanth Kavuluru, Zhiyong Lu:
Chemical-protein relation extraction with ensembles of SVM, CNN, and RNN models. CoRR abs/1802.01255 (2018) - 2017
- [c8]Sifei Han, Tung Tran, Anthony Rios, Ramakanth Kavuluru:
Team UKNLP: Detecting ADRs, Classifying Medication Intake Messages, and Normalizing ADR Mentions on Twitter. SMM4H@AMIA 2017: 49-53 - [c7]Ramakanth Kavuluru, Anthony Rios, Tung Tran:
Extracting Drug-Drug Interactions with Word and Character-Level Recurrent Neural Networks. ICHI 2017: 5-12 - 2015
- [j1]Ramakanth Kavuluru, Anthony Rios, Yuan Lu:
An empirical evaluation of supervised learning approaches in assigning diagnosis codes to electronic medical records. Artif. Intell. Medicine 65(2): 155-166 (2015) - [c6]Ramakanth Kavuluru, Anthony Rios:
Automatic Assignment of Non-Leaf MeSH Terms to Biomedical Articles. AMIA 2015 - [c5]Anthony Rios, Ramakanth Kavuluru:
Convolutional neural networks for biomedical text classification: application in indexing biomedical articles. BCB 2015: 258-267 - [c4]Anthony Rios, Ramakanth Kavuluru:
Analyzing the Moving Parts of a Large-Scale Multi-label Text Classification Pipeline: Experiences in Indexing Biomedical Articles. ICHI 2015: 1-7 - 2014
- [c3]Ramakanth Kavuluru, Anthony Rios, Brandon Kulengowski, Patrick McNamara:
A Knowledge-Based Collaborative Clinical Case Mining Framework. AMIA 2014 - 2013
- [c2]Anthony Rios, Robin Vanderpool, Pam Shaw, Ramakanth Kavuluru:
A Multi-Label Classification Approach for Coding Cancer Information Service Chat Transcripts. FLAIRS 2013 - [c1]Anthony Rios, Ramakanth Kavuluru:
Supervised Extraction of Diagnosis Codes from EMRs: Role of Feature Selection, Data Selection, and Probabilistic Thresholding. ICHI 2013: 66-73
Coauthor Index
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last updated on 2024-10-18 20:31 CEST by the dblp team
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