Juan M. Banda

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 46

Top Topics

Class Imbalanced

Image Retrieval

Manually Annotated

Top Venues

J. Am. Medical Informatics Assoc.

Astron. Comput.

Publications

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, Michelle M. Mello, Keith E. Morse, Srikar Nallan, Abby Pandya, Anurang Revri, Aditya Sharma, Christopher D. Sharp, Rahul Thapa, Michael Wornow, Alaa Youssef, Michael A. Pfeffer, Nigam H. Shah
Standing on FURM ground - A framework for evaluating Fair, Useful, and Reliable AI Models in healthcare systems. CoRR (2024)
Ari Z. Klein, Juan M. Banda, Yuting Guo, Ana Lucía Schmidt, Dongfang Xu, Ivan Flores Amaro, Raul Rodriguez-Esteban, Abeed Sarker, Graciela Gonzalez-Hernandez
Overview of the 8th Social Media Mining for Health Applications (#SMM4H) shared tasks at the AMIA 2023 Annual Symposium. J. Am. Medical Informatics Assoc. 31 (4) (2024)
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, James A. Feinstein, Asiyah Y. Lin, Blake Martin, Nicolas A. Matentzoglu, Daniella Meeker, Justin T. Reese, Jessica Sinclair, Sanya Bathla Taneja, Katy E. Trinkley, Nicole A. Vasilevsky, Andrew E. Williams, Xingmin Aaron Zhang, Joshua C. Denny, Patrick B. Ryan, George Hripcsak, Tellen D. Bennett, Melissa A. Haendel, Peter N. Robinson, Lawrence E. Hunter, Michael G. Kahn
Ontologizing health systems data at scale: making translational discovery a reality. npj Digit. Medicine 6 (2023)
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, Andrew S. Kanter, David M. Kern, Chungsoo Kim, Lana Y. H. Lai, Chenyu Li, Feifan Liu, Kristine E. Lynch, Evan Minty, Maria Inês Neves, Ding Quan Ng, Tontel Obene, Victor Pera, Nicole Pratt, Gowtham Rao, Nadav Rappoport, Ines Reinecke, Paola Saroufim, Azza Shoaibi, Katherine Simon, Marc A. Suchard, Joel N. Swerdel, Erica A. Voss, James Weaver, Linying Zhang, George Hripcsak, Patrick B. Ryan
Reproducible variability: assessing investigator discordance across 9 research teams attempting to reproduce the same observational study. J. Am. Medical Informatics Assoc. 30 (5) (2023)
Vipina Kuttichi Keloth, Juan M. Banda, Michael J. Gurley, Paul M. Heider, Georgina Kennedy, Hongfang Liu, Feifan Liu, Timothy A. Miller, Karthik Natarajan, Olga V. Patterson, Yifan Peng, Kalpana Raja, Ruth M. Reeves, Masoud Rouhizadeh, Jianlin Shi, Xiaoyan Wang, Yanshan Wang, Wei-Qi Wei, Andrew E. Williams, Rui Zhang, Rimma Belenkaya, Christian G. Reich, Clair Blacketer, Patrick B. Ryan, George Hripcsak, Noémie Elhadad, Hua Xu
Representing and utilizing clinical textual data for real world studies: An OHDSI approach. J. Biomed. Informatics 142 (2023)
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, Angel Arnaout, Garret Kenn Morris, Honor Magon, Matthew P. Lungren, Eric Horvitz, Nigam H. Shah
Evaluation of GPT-3.5 and GPT-4 for supporting real-world information needs in healthcare delivery. CoRR (2023)
Ramya Tekumalla, Luis Alberto Robles Hernandez, Juan M. Banda
Towards automatic identification of self-reported COVID-19 tweets: Introducing a multilingual manually annotated dataset, baseline systems and exploratory evaluations. BigData (2023)
Ramya Tekumalla, Juan M. Banda
Using weak supervision to generate training datasets from social media data: a proof of concept to identify drug mentions. Neural Comput. Appl. 35 (25) (2023)
Ramya Tekumalla, Juan M. Banda
Leveraging Large Language Models and Weak Supervision for Social Media Data Annotation: An Evaluation Using COVID-19 Self-reported Vaccination Tweets. HCI (50) (2023)
Ramya Tekumalla, Juan M. Banda
Leveraging Large Language Models and Weak Supervision for Social Media data annotation: an evaluation using COVID-19 self-reported vaccination tweets. CoRR (2023)
Juan M. Banda, Ariel Ruiz-Garcia, Laura N. Montoya, Ivan Arraut
LatinX in AI research. Neural Comput. Appl. 35 (25) (2023)
Davy Weissenbacher, Karen O'Connor, Siddharth Rawal, Yu Zhang, Richard Tzong-Han Tsai, Timothy A. Miller, Dongfang Xu, Carol Anderson, Bo Liu, Qing Han, Jinfeng Zhang, Igor Kulev, Berkay Köprü, Raul Rodriguez-Esteban, Elif Ozkirimli, Ammer Ayach, Roland Roller, Stephen R. Piccolo, Peijin Han, V. G. Vinod Vydiswaran, Ramya Tekumalla, Juan M. Banda, Parsa Bagherzadeh, Sabine Bergler, João Figueira Silva, Tiago Almeida, Paloma Martínez, Renzo M. Rivera Zavala, Chen-Kai Wang, Hong-Jie Dai, Luis Alberto Robles Hernandez, Graciela Gonzalez-Hernandez
Automatic Extraction of Medication Mentions from Tweets - Overview of the BioCreative VII Shared Task 3 Competition. Database J. Biol. Databases Curation 2023 (2023)
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, James A. Feinstein, Melissa A. Haendel, Asiyah Y. Lin, Blake Martin, Nicolas Matentzoglu, Daniella Meeker, Justin Reese, Jessica Sinclair, Sanya Bathla Taneja, Katy E. Trinkley, Nicole A. Vasilevsky, Andrew E. Williams, Xingman A. Zhang, Peter N. Robinson, Patrick Ryan, George Hripcsak, Tellen D. Bennett, Lawrence E. Hunter, Michael G. Kahn
Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality. CoRR (2022)
Ramya Tekumalla, Zia Baig, Michelle Pan, Luis Alberto Robles Hernandez, Michael Wang, Juan M. Banda
Characterizing Anti-Asian Rhetoric During The COVID-19 Pandemic: A Sentiment Analysis Case Study on Twitter. ICWSM Workshops (2022)
Ramya Tekumalla, Juan M. Banda
Identifying epidemic related Tweets using noisy learning. CoRR (2022)
Ramya Tekumalla, Juan M. Banda
TweetDIS: A Large Twitter Dataset for Natural Disasters Built using Weak Supervision. Big Data (2022)
Ramya Tekumalla, Juan M. Banda
An Empirical Study on Characterizing Natural Disasters in Class Imbalanced Social Media Data using Weak Supervision. Big Data (2022)
Ramya Tekumalla, Juan M. Banda
TweetDIS: A Large Twitter Dataset for Natural Disasters Built using Weak Supervision. CoRR (2022)
Julia Wu, Venkatesh Sivaraman, Dheekshita Kumar, Juan M. Banda, David A. Sontag
Pulse of the pandemic: Iterative topic filtering for clinical information extraction from social media. J. Biomed. Informatics 120 (2021)
Luis Alberto Robles Hernandez, Tiffany J. Callahan, Juan M. Banda
A Biomedically oriented automatically annotated Twitter COVID-19 Dataset. CoRR (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, Abeed Sarker, Juan M. Banda, Martin Krallinger, Graciela Gonzalez-Hernandez
Overview of the Sixth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at NAACL 2021. SMM4H@NAACL-HLT (2021)
Alison Callahan, Vladimir Polony, José D. Posada, Juan M. Banda, Saurabh Gombar, Nigam H. Shah
ACE: the Advanced Cohort Engine for searching longitudinal patient records. J. Am. Medical Informatics Assoc. 28 (7) (2021)
Katherine J. Sullivan, Marisha Burden, Angela Keniston, Juan M. Banda, Lawrence E. Hunter
Characterization of Anonymous Physician Perspectives on COVID-19 Using Social Media Data. PSB (2021)
Julia Wu, Venkatesh Sivaraman, Dheekshita Kumar, Juan M. Banda, David A. Sontag
Pulse of the Pandemic: Iterative Topic Filtering for Clinical Information Extraction from Social Media. CoRR (2021)
Juan M. Banda, Ramya Tekumalla, Guanyu Wang, Jingyuan Yu, Tuo Liu, Yuning Ding, Gerardo Chowell
A large-scale COVID-19 Twitter chatter dataset for open scientific research - an international collaboration. CoRR (2020)
Xu Zuo, Jianfu Li, Bo Zhao, Yujia Zhou, Xiao Dong, Jon D. Duke, Karthik Natarajan, George Hripcsak, Nigam Shah, Juan M. Banda, Ruth M. Reeves, Hua Xu
Normalizing Clinical Document Titles to LOINC Document Ontology: an Initial Study. AMIA (2020)
Ramya Tekumalla, Juan M. Banda
Characterizing drug mentions in COVID-19 Twitter Chatter. NLP4COVID@EMNLP (2020)
Ramya Tekumalla, Juan M. Banda
A large-scale Twitter dataset for drug safety applications mined from publicly existing resources. CoRR (2020)
Ramya Tekumalla, Juan M. Banda
Social Media Mining Toolkit (SMMT). CoRR (2020)
Ramya Tekumalla, Javad Rafiei-Asl, Juan M. Banda
Mining Archive.org's Twitter Stream Grab for Pharmacovigilance Research Gold. ICWSM (2020)
Ramya Tekumalla, Juan M. Banda
Characterization of Potential Drug Treatments for COVID-19 using Social Media Data and Machine Learning. CoRR (2020)
Javad Rafiei-Asl, Juan M. Banda
GLEAKE: Global and Local Embedding Automatic Keyphrase Extraction. CoRR (2020)
Leyla J. García, Erick Antezana, Alexander García Castro, Evan Bolton, Rafael C. Jimenez, Pjotr Prins, Juan M. Banda, Toshiaki Katayama
Ten simple rules to run a successful BioHackathon. PLoS Comput. Biol. 16 (5) (2020)
Mehr Kashyap, Martin G. Seneviratne, Juan M. Banda, Thomas Falconer, Borim Ryu, Sooyoung Yoo, George Hripcsak, Nigam H. Shah
Development and validation of phenotype classifiers across multiple sites in the observational health data sciences and informatics network. J. Am. Medical Informatics Assoc. 27 (6) (2020)
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, Joseph B. Leader, Michael F. Murray, Kelly D. Myers, Katherine Wilemon, Nigam H. Shah, Joshua W. Knowles
Finding missed cases of familial hypercholesterolemia in health systems using machine learning. npj Digit. Medicine 2 (2019)
Vojtech Huser, Xiaochun Li, Zuoyi Zhang, Sungjae Jung, Rae Woong Park, Juan M. Banda, Hanieh Razzaghi, Ajit Londhe, Karthik Natarajan
Extending Achilles Heel Data Quality Tool with New Rules Informed by Multi-Site Data Quality Comparison. MedInfo (2019)
Toqi Tahamid Sarker, Juan M. Banda
Solar Event Tracking with Deep Regression Networks: A Proof of Concept Evaluation. CoRR (2019)
Toqi Tahamid Sarker, Juan M. Banda
Solar Event Tracking with Deep Regression Networks: A Proof of Concept Evaluation. IEEE BigData (2019)
Martin G. Seneviratne, Juan M. Banda, James D. Brooks, Nigam Shah, Tina Hernandez-Boussard
Identifying cases of metastatic prostate cancer using machine learning on electronic health records. AMIA (2018)
Tobias Kuhn, Albert Meroño-Peñuela, Alexander Malic, Jorrit H. Poelen, Allen H. Hurlbert, Emilio Centeno, Laura I. Furlong, Núria Queralt-Rosinach, Christine Chichester, Juan M. Banda, Egon L. Willighagen, Friederike Ehrhart, Chris T. A. Evelo, Tareq B. Malas, Michel Dumontier
Nanopublications: A Growing Resource of Provenance-Centric Scientific Linked Data. CoRR (2018)
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, Chris T. A. Evelo, Tareq B. Malas, Michel Dumontier
Nanopublications: A Growing Resource of Provenance-Centric Scientific Linked Data. eScience (2018)
Albee Ling, Emily Alsentzer, Josephine Chen, Juan M. Banda, Suzanne Tamang, Evan P. Minty
Scalable Electronic Phenotyping For Studying Patient Comorbidities. AMIA (2018)
Juan M. Banda, Yoni Halpern, David A. Sontag, Nigam Shah
Electronic phenotyping with APHRODITE and the Observational Health Sciences and Informatics (OHDSI) data network. CRI (2017)
Ahmet Küçük, Juan M. Banda, Rafal A. Angryk
Solar Event Classification Using Deep Convolutional Neural Networks. ICAISC (1) (2017)
Karthik Ganesan Pillai, Rafal A. Angryk, Juan M. Banda, Dustin Kempton, Berkay Aydin, Petrus C. Martens
Mining At Most Top-K% Spatiotemporal Co-occurrence Patterns in Datasets with Extended Spatial Representations. ACM Trans. Spatial Algorithms Syst. 2 (3) (2016)
Vibhu Agarwal, Tanya Podchiyska, Juan M. Banda, Veena Goel, Tiffany I. Leung, Evan P. Minty, Timothy E. Sweeney, Elsie Gyang, Nigam H. Shah
Learning statistical models of phenotypes using noisy labeled training data. J. Am. Medical Informatics Assoc. 23 (6) (2016)
Juan M. Banda, Tobias Kuhn, Nigam H. Shah, Michel Dumontier
Provenance-Centered Dataset of Drug-Drug Interactions. ISWC (2) (2015)
Juan M. Banda, Tobias Kuhn, Nigam H. Shah, Michel Dumontier
Provenance-Centered Dataset of Drug-Drug Interactions. CoRR (2015)
Juan M. Banda, Rafal A. Angryk
Regional content-based image retrieval for solar images: Traditional versus modern methods. Astron. Comput. 13 (2015)
Juan M. Banda, Rafal A. Angryk
Unsupervised Learning Techniques for Detection of Regions of Interest in Solar Images. ICDM Workshops (2015)
Michael A. Schuh, Juan M. Banda, Tim Wylie, Patrick McInerney, Karthik Ganesan Pillai, Rafal A. Angryk
On visualization techniques for solar data mining. Astron. Comput. 10 (2015)
Juan M. Banda, Rafal A. Angryk, Michael A. Schuh, Petrus C. Martens
Image retrieval on compressed images: Can we tell the difference? IPTA (2014)
Juan M. Banda, Rafal A. Angryk
Scalable solar image Retrieval with Lucene. IEEE BigData (2014)
Juan M. Banda, Rafal A. Angryk
Large-Scale Region-Based Multimedia Retrieval for Solar Images. ICAISC (1) (2014)
Juan M. Banda, Michael A. Schuh, Rafal A. Angryk, Karthik Ganesan Pillai, Patrick McInerney
Big Data New Frontiers: Mining, Search and Management of Massive Repositories of Solar Image Data and Solar Events. ADBIS (2) (2013)
Michael A. Schuh, Rafal A. Angryk, Karthik Ganesan Pillai, Juan M. Banda, Petrus C. Martens
A large-scale solar image dataset with labeled event regions. ICIP (2013)
Karthik Ganesan Pillai, Rafal A. Angryk, Juan M. Banda, Tim Wylie, Michael A. Schuh
Spatiotemporal Co-occurrence Rules. ADBIS (2) (2013)
Juan M. Banda, Chang Liu, Rafal A. Angryk
Region-Based Querying of Solar Data Using Descriptor Signatures. ICDM Workshops (2013)
Juan M. Banda, Michael A. Schuh, Tim Wylie, Patrick McInerney, Rafal A. Angryk
When Too Similar Is Bad: A Practical Example of the Solar Dynamics Observatory Content-Based Image-Retrieval System. ADBIS (2) (2013)
Patrick M. McInerney, Juan M. Banda, Rafal A. Angryk
On Using SIFT Descriptors for Image Parameter Evaluation. ICDM Workshops (2013)
Karthik Ganesan Pillai, Liessman Sturlaugson, Juan M. Banda, Rafal A. Angryk
Extending High-Dimensional Indexing Techniques Pyramid and iMinMax(θ): Lessons Learned. BNCOD (2013)
Michael A. Schuh, Tim Wylie, Juan M. Banda, Rafal A. Angryk
A Comprehensive Study of iDistance Partitioning Strategies for kNN Queries and High-Dimensional Data Indexing. BNCOD (2013)
Juan M. Banda, Rafal A. Angryk, Petrus C. Martens
Quantitative Comparison of Linear and Non-linear Dimensionality Reduction Techniques for Solar Image Archives. FLAIRS Conference (2012)
Karthik Ganesan Pillai, Rafal A. Angryk, Juan M. Banda, Michael A. Schuh, Tim Wylie
Spatio-temporal Co-occurrence Pattern Mining in Data Sets with Evolving Regions. ICDM Workshops (2012)
Juan M. Banda, Rafal A. Angryk, Petrus C. Martens
On the surprisingly accurate transfer of image parameters between medical and solar images. ICIP (2011)
Juan M. Banda, Rafal A. Angryk
Usage of Dissimilarity Measures and Multidimensional Scaling for Large Scale Solar Data Analysis. CIDU (2010)
Juan M. Banda, Rafal A. Angryk
An Experimental Evaluation of Popular Image Parameters for Monochromatic Solar Image Categorization. FLAIRS Conference (2010)
Juan M. Banda, Rafal A. Angryk
Selection of Image Parameters as the First Step towards Creating a CBIR System for the Solar Dynamics Observatory. DICTA (2010)
Juan M. Banda, Rafal A. Angryk
On the effectiveness of fuzzy clustering as a data discretization technique for large-scale classification of solar images. FUZZ-IEEE (2009)