On the effectiveness of fuzzy clustering as a data discretization technique for large-scale classification of solar images. - Juan M. Banda; Rafal A. Angryk (FUZZ-IEEE, 2009)

Usage of Dissimilarity Measures and Multidimensional Scaling for Large Scale Solar Data Analysis. - Juan M. Banda; Rafal A. Angryk (CIDU, 2010)

Selection of Image Parameters as the First Step towards Creating a CBIR System for the Solar Dynamics Observatory. - Juan M. Banda; Rafal A. Angryk (DICTA, 2010)

An Experimental Evaluation of Popular Image Parameters for Monochromatic Solar Image Categorization. - Juan M. Banda; Rafal A. Angryk (FLAIRS, 2010)

On the surprisingly accurate transfer of image parameters between medical and solar images. - Juan M. Banda; Rafal A. Angryk; Petrus C. Martens (ICIP, 2011)

Quantitative Comparison of Linear and Non-linear Dimensionality Reduction Techniques for Solar Image Archives. - Juan M. Banda; Rafal A. Angryk; Petrus C. Martens (FLAIRS, 2012)

Spatio-temporal Co-occurrence Pattern Mining in Data Sets with Evolving Regions. - Karthik Ganesan Pillai; Rafal A. Angryk; Juan M. Banda; Michael A. Schuh; Tim Wylie (ICDM Workshops, 2012)

Big Data New Frontiers: Mining, Search and Management of Massive Repositories of Solar Image Data and Solar Events. - Juan M. Banda; Michael A. Schuh; Rafal A. Angryk; Karthik Ganesan Pillai; Patrick McInerney (ADBIS (2), 2013)

When Too Similar Is Bad: A Practical Example of the Solar Dynamics Observatory Content-Based Image-Retrieval System. - Juan M. Banda; Michael A. Schuh; Tim Wylie; Patrick McInerney; Rafal A. Angryk (ADBIS (2), 2013)

Spatiotemporal Co-occurrence Rules. - Karthik Ganesan Pillai; Rafal A. Angryk; Juan M. Banda; Tim Wylie; Michael A. Schuh (ADBIS (2), 2013)

Extending High-Dimensional Indexing Techniques Pyramid and iMinMax(θ): Lessons Learned. - Karthik Ganesan Pillai; Liessman Sturlaugson; Juan M. Banda; Rafal A. Angryk (BNCOD, 2013)

A Comprehensive Study of iDistance Partitioning Strategies for kNN Queries and High-Dimensional Data Indexing. - Michael A. Schuh; Tim Wylie; Juan M. Banda; Rafal A. Angryk (BNCOD, 2013)

Region-Based Querying of Solar Data Using Descriptor Signatures. - Juan M. Banda; Chang Liu 080; Rafal A. Angryk (ICDM Workshops, 2013)

On Using SIFT Descriptors for Image Parameter Evaluation. - Patrick M. McInerney; Juan M. Banda; Rafal A. Angryk (ICDM Workshops, 2013)

A large-scale solar image dataset with labeled event regions. - Michael A. Schuh; Rafal A. Angryk; Karthik Ganesan Pillai; Juan M. Banda; Petrus C. Martens (ICIP, 2013)

Scalable solar image Retrieval with Lucene. - Juan M. Banda; Rafal A. Angryk (IEEE BigData, 2014)

Large-Scale Region-Based Multimedia Retrieval for Solar Images. - Juan M. Banda; Rafal A. Angryk (ICAISC (1), 2014)

Image retrieval on compressed images: Can we tell the difference? - Juan M. Banda; Rafal A. Angryk; Michael A. Schuh; Petrus C. Martens (IPTA, 2014)

Unsupervised Learning Techniques for Detection of Regions of Interest in Solar Images. - Juan M. Banda; Rafal A. Angryk (ICDM Workshops, 2015)

Provenance-Centered Dataset of Drug-Drug Interactions. - Juan M. Banda; Tobias Kuhn; Nigam H. Shah; Michel Dumontier (ISWC (2), 2015)

Regional content-based image retrieval for solar images: Traditional versus modern methods. - Juan M. Banda; Rafal A. Angryk (Astron. Comput., 2015)

On visualization techniques for solar data mining. - Michael A. Schuh; Juan M. Banda; Tim Wylie; Patrick McInerney; Karthik Ganesan Pillai; Rafal A. Angryk (Astron. Comput., 2015)

Learning statistical models of phenotypes using noisy labeled training data. - Vibhu Agarwal; Tanya Podchiyska; Juan M. Banda; Veena Goel; Tiffany I. Leung; Evan P. Minty; Timothy E. Sweeney; Elsie Gyang; Nigam H. Shah (J. Am. Medical Informatics Assoc., 2016)

Mining At Most Top-K% Spatiotemporal Co-occurrence Patterns in Datasets with Extended Spatial Representations. - Karthik Ganesan Pillai; Rafal A. Angryk; Juan M. Banda; Dustin Kempton; Berkay Aydin; Petrus C. Martens (ACM Trans. Spatial Algorithms Syst., 2016)

Electronic phenotyping with APHRODITE and the Observational Health Sciences and Informatics (OHDSI) data network. - Juan M. Banda; Yoni Halpern; David A. Sontag; Nigam Shah (CRI, 2017)

Solar Event Classification Using Deep Convolutional Neural Networks. - Ahmet Küçük; Juan M. Banda; Rafal A. Angryk (ICAISC (1), 2017)

Scalable Electronic Phenotyping For Studying Patient Comorbidities. - Albee Y. Ling; Emily Alsentzer; Josephine Chen; Juan M. Banda; Suzanne Tamang; Evan P. Minty (AMIA, 2018)

Identifying cases of metastatic prostate cancer using machine learning on electronic health records. - Martin G. Seneviratne; Juan M. Banda; James D. Brooks; Nigam Shah; Tina Hernandez-Boussard (AMIA, 2018)

Nanopublications: A Growing Resource of Provenance-Centric Scientific Linked Data. - Tobias Kuhn; Albert Meroño-Peñuela; Alexander Malic; Jorrit H. Poelen; Allen H. Hurlbert; Emilio Centeno Ortiz; Laura I. Furlong; Núria Queralt-Rosinach; Christine Chichester; Juan M. Banda; Egon L. Willighagen; Friederike Ehrhart; et al. (eScience, 2018)

Solar Event Tracking with Deep Regression Networks: A Proof of Concept Evaluation. - Toqi Tahamid Sarker; Juan M. Banda (IEEE BigData, 2019)

Extending Achilles Heel Data Quality Tool with New Rules Informed by Multi-Site Data Quality Comparison. - Vojtech Huser; Xiaochun Li; Zuoyi Zhang; Sungjae Jung; Rae Woong Park; Juan M. Banda; Hanieh Razzaghi; Ajit Londhe; Karthik Natarajan (MedInfo, 2019)

Finding missed cases of familial hypercholesterolemia in health systems using machine learning. - Juan M. Banda; Ashish Sarraju; Fahim Abbasi; Justin Parizo; Mitchel Pariani; Hannah Ison; Elinor Briskin; Hannah Wand; Sébastien Dubois; Kenneth Jung; Seth A. Myers; Daniel J. Rader; et al. (npj Digit. Medicine, 2019)

Normalizing Clinical Document Titles to LOINC Document Ontology: an Initial Study. - Xu Zuo; Jianfu Li; Bo Zhao 001; Yujia Zhou 003; Xiao Dong; Jon D. Duke; Karthik Natarajan; George Hripcsak; Nigam Shah; Juan M. Banda; Ruth M. Reeves; Hua Xu 001 (AMIA, 2020)

Characterizing drug mentions in COVID-19 Twitter Chatter. - Ramya Tekumalla; Juan M. Banda (NLP4COVID@EMNLP, 2020)

Mining Archive.org's Twitter Stream Grab for Pharmacovigilance Research Gold. - Ramya Tekumalla; Javad Rafiei-Asl; Juan M. Banda (ICWSM, 2020)

Social Media Mining Toolkit (SMMT). - Ramya Tekumalla; Juan M. Banda (CoRR, 2020)

A large-scale Twitter dataset for drug safety applications mined from publicly existing resources. - Ramya Tekumalla; Juan M. Banda (CoRR, 2020)

A large-scale COVID-19 Twitter chatter dataset for open scientific research - an international collaboration. - Juan M. Banda; Ramya Tekumalla; Guanyu Wang; Jingyuan Yu; Tuo Liu; Yuning Ding; Gerardo Chowell (CoRR, 2020)

GLEAKE: Global and Local Embedding Automatic Keyphrase Extraction. - Javad Rafiei-Asl; Juan M. Banda (CoRR, 2020)

Characterization of Potential Drug Treatments for COVID-19 using Social Media Data and Machine Learning. - Ramya Tekumalla; Juan M. Banda (CoRR, 2020)

Development and validation of phenotype classifiers across multiple sites in the observational health data sciences and informatics network. - Mehr Kashyap; Martin G. Seneviratne; Juan M. Banda; Thomas Falconer; Borim Ryu; Sooyoung Yoo; George Hripcsak; Nigam H. Shah (J. Am. Medical Informatics Assoc., 2020)

Ten simple rules to run a successful BioHackathon. - Leyla J. García; Erick Antezana; Alexander García Castro; Evan Bolton; Rafael C. Jiménez; Pjotr Prins; Juan M. Banda; Toshiaki Katayama (PLoS Comput. Biol., 2020)

Characterization of Anonymous Physician Perspectives on COVID-19 Using Social Media Data. - Katherine J. Sullivan; Marisha Burden; Angela Keniston; Juan M. Banda; Lawrence E. Hunter (PSB, 2021)

Overview of the Sixth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at NAACL 2021. - Arjun Magge; Ari Z. Klein; Antonio Miranda-Escalada; Mohammed Ali Al-Garadi; Ilseyar Alimova; Zulfat Miftahutdinov; Eulàlia Farré; Salvador Lima-López; Ivan Flores; Karen O'Connor; Davy Weissenbacher; Elena Tutubalina; et al. (SMM4H@NAACL-HLT, 2021)

A Biomedically oriented automatically annotated Twitter COVID-19 Dataset. - Luis Alberto Robles Hernandez; Tiffany J. Callahan; Juan M. Banda (CoRR, 2021)

ACE: the Advanced Cohort Engine for searching longitudinal patient records. - Alison Callahan; Vladimir Polony; José D. Posada; Juan M. Banda; Saurabh Gombar; Nigam H. Shah (J. Am. Medical Informatics Assoc., 2021)

Pulse of the pandemic: Iterative topic filtering for clinical information extraction from social media. - Julia Wu; Venkatesh Sivaraman; Dheekshita Kumar; Juan M. Banda; David A. Sontag (J. Biomed. Informatics, 2021)

TweetDIS: A Large Twitter Dataset for Natural Disasters Built using Weak Supervision. - Ramya Tekumalla; Juan M. Banda (IEEE Big Data, 2022)

An Empirical Study on Characterizing Natural Disasters in Class Imbalanced Social Media Data using Weak Supervision. - Ramya Tekumalla; Juan M. Banda (IEEE Big Data, 2022)

Overview of the Seventh Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2022. - Davy Weissenbacher; Juan M. Banda; Vera Davydova; Darryl Estrada-Zavala; Luis Gascó Sánchez; Yao Ge 003; Yuting Guo; Ari Z. Klein; Martin Krallinger; Mathias Leddin; Arjun Magge; Raul Rodriguez-Esteban; et al. (SMM4H@COLING, 2022)

Characterizing Anti-Asian Rhetoric During The COVID-19 Pandemic: A Sentiment Analysis Case Study on Twitter. - Ramya Tekumalla; Zia Baig; Michelle Pan; Luis Alberto Robles Hernandez; Michael Wang; Juan M. Banda (ICWSM Workshops, 2022)

Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality. - Tiffany J. Callahan; Adrianne L. Stefanski; Jordan M. Wyrwa; Chenjie Zeng; Anna Ostropolets; Juan M. Banda; William A. Baumgartner Jr.; Richard D. Boyce; Elena Casiraghi; Ben D. Coleman; Janine H. Collins; Sara J. Deakyne Davies; et al. (CoRR, 2022)

Identifying epidemic related Tweets using noisy learning. - Ramya Tekumalla; Juan M. Banda (CoRR, 2022)

Towards automatic identification of self-reported COVID-19 tweets: Introducing a multilingual manually annotated dataset, baseline systems and exploratory evaluations. - Ramya Tekumalla; Luis Alberto Robles Hernandez; Juan M. Banda (IEEE Big Data, 2023)

Leveraging Large Language Models and Weak Supervision for Social Media Data Annotation: An Evaluation Using COVID-19 Self-reported Vaccination Tweets. - Ramya Tekumalla; Juan M. Banda (HCI (50), 2023)

Evaluation of GPT-3.5 and GPT-4 for supporting real-world information needs in healthcare delivery. - Debadutta Dash; Rahul Thapa; Juan M. Banda; Akshay Swaminathan; Morgan Cheatham; Mehr Kashyap; Nikesh Kotecha; Jonathan H. Chen; Saurabh Gombar; Lance Downing; Rachel Pedreira; Ethan Goh; et al. (CoRR, 2023)

Ontologizing health systems data at scale: making translational discovery a reality. - Tiffany J. Callahan; Adrianne L. Stefanski; Jordan M. Wyrwa; Chenjie Zeng; Anna Ostropolets; Juan M. Banda; William A. Baumgartner Jr.; Richard D. Boyce; Elena Casiraghi; Ben D. Coleman; Janine H. Collins; Sara J. Deakyne Davies; et al. (npj Digit. Medicine, 2023)

Automatic Extraction of Medication Mentions from Tweets - Overview of the BioCreative VII Shared Task 3 Competition. - Davy Weissenbacher; Karen O'Connor; Siddharth Rawal; Yu Zhang 202; Richard Tzong-Han Tsai; Timothy Miller 002; Dongfang Xu; Carol Anderson; Bo Liu; Qing Han; Jinfeng Zhang; Igor Kulev; et al. (Database J. Biol. Databases Curation, 2023)

Reproducible variability: assessing investigator discordance across 9 research teams attempting to reproduce the same observational study. - Anna Ostropolets; Yasser Albogami; Mitchell Conover; Juan M. Banda; William A. Baumgartner Jr.; Clair Blacketer; Priyamvada Desai; Scott L. DuVall; Stephen P. Fortin; James P. Gilbert; Asieh Golozar; Joshua Ide; et al. (J. Am. Medical Informatics Assoc., 2023)

Representing and utilizing clinical textual data for real world studies: An OHDSI approach. - Vipina Kuttichi Keloth; Juan M. Banda; Michael J. Gurley; Paul M. Heider; Georgina Kennedy; Hongfang Liu; Feifan Liu; Timothy Miller 002; Karthik Natarajan; Olga V. Patterson; Yifan Peng 002; Kalpana Raja; et al. (J. Biomed. Informatics, 2023)

LatinX in AI research. - Juan M. Banda; Ariel Ruiz-Garcia; Laura N. Montoya; Ivan Arraut (Neural Comput. Appl., 2023)

Using weak supervision to generate training datasets from social media data: a proof of concept to identify drug mentions. - Ramya Tekumalla; Juan M. Banda (Neural Comput. Appl., 2023)

Standing on FURM ground - A framework for evaluating Fair, Useful, and Reliable AI Models in healthcare systems. - Alison Callahan; Duncan C. McElfresh; Juan M. Banda; Gabrielle Bunney; Danton Char; Jonathan H. Chen; Conor K. Corbin; Debadutta Dash; Norman L. Downing; Sneha S. Jain; Nikesh Kotecha; Jonathan Masterson; et al. (CoRR, 2024)

Overview of the 8th Social Media Mining for Health Applications (#SMM4H) shared tasks at the AMIA 2023 Annual Symposium. - Ari Z. Klein; Juan M. Banda; Yuting Guo; Ana Lucía Schmidt; Dongfang Xu; Ivan Flores Amaro; Raul Rodriguez-Esteban; Abeed Sarker; Graciela Gonzalez-Hernandez (J. Am. Medical Informatics Assoc., 2024)

Red teaming ChatGPT in medicine to yield real-world insights on model behavior. - Crystal T. Chang; Hodan Farah; Haiwen Gui; Shawheen Justin Rezaei; Charbel Bou-Khalil; Ye-Jean Park; Akshay Swaminathan; Jesutofunmi A. Omiye; Akaash Kolluri; Akash Chaurasia; Alejandro Lozano; Alice Heiman; et al. (npj Digit. Medicine, 2025)

MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks. - Suhana Bedi; Hejie Cui; Miguel Fuentes; Alyssa Unell; Michael Wornow; Juan M. Banda; Nikesh Kotecha; Timothy Keyes; Yifan Mai 001; Mert Oez; Hao Qiu; Shrey Jain; et al. (CoRR, 2025)