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Anthony Rios
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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
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
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
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
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
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
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
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
Quantifying 60 Years of Gender Bias in Biomedical Research with Word Embeddings. BioNLP 2020: 1-13 - [c13]Anthony Rios
An Empirical Study of the Downstream Reliability of Pre-Trained Word Embeddings. COLING 2020: 3371-3388
2010 – 2019
- 2019
- [j6]Anthony Rios
Neural transfer learning for assigning diagnosis codes to EMRs. Artif. Intell. Medicine 96: 116-122 (2019) - [j5]Anthony Rios
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
Extracting chemical-protein relations with ensembles of SVM and deep learning models. Database J. Biol. Databases Curation 2018: bay073 (2018) - [j3]Anthony Rios
Generalizing biomedical relation classification with neural adversarial domain adaptation. Bioinform. 34(17): 2973-2981 (2018) - [j2]Abeed Sarker
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
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
Few-Shot and Zero-Shot Multi-Label Learning for Structured Label Spaces. EMNLP 2018: 3132-3142 - [c9]Anthony Rios
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
Extracting Drug-Drug Interactions with Word and Character-Level Recurrent Neural Networks. ICHI 2017: 5-12 - 2015
- [j1]Ramakanth Kavuluru
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
Convolutional neural networks for biomedical text classification: application in indexing biomedical articles. BCB 2015: 258-267 - [c4]Anthony Rios
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
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 19:32 CEST by the dblp team
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