Juan M. Banda
Orcid: 0000-0001-8499-824X
According to our database1,
Juan M. Banda
authored at least 64 papers
between 2009 and 2024.
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Bibliography
2024
Overview of the 8th Social Media Mining for Health Applications (#SMM4H) shared tasks at the AMIA 2023 Annual Symposium.
J. Am. Medical Informatics Assoc., 2024
Standing on FURM ground - A framework for evaluating Fair, Useful, and Reliable AI Models in healthcare systems.
CoRR, 2024
2023
Using weak supervision to generate training datasets from social media data: a proof of concept to identify drug mentions.
Neural Comput. Appl., September, 2023
Representing and utilizing clinical textual data for real world studies: An OHDSI approach.
J. Biomed. Informatics, June, 2023
Reproducible variability: assessing investigator discordance across 9 research teams attempting to reproduce the same observational study.
J. Am. Medical Informatics Assoc., April, 2023
Automatic Extraction of Medication Mentions from Tweets - Overview of the BioCreative VII Shared Task 3 Competition.
Database J. Biol. Databases Curation, February, 2023
npj Digit. Medicine, 2023
Evaluation of GPT-3.5 and GPT-4 for supporting real-world information needs in healthcare delivery.
CoRR, 2023
Leveraging Large Language Models and Weak Supervision for Social Media Data Annotation: An Evaluation Using COVID-19 Self-reported Vaccination Tweets.
Proceedings of the HCI International 2023 - Late Breaking Papers, 2023
Towards automatic identification of self-reported COVID-19 tweets: Introducing a multilingual manually annotated dataset, baseline systems and exploratory evaluations.
Proceedings of the IEEE International Conference on Big Data, 2023
2022
CoRR, 2022
Characterizing Anti-Asian Rhetoric During The COVID-19 Pandemic: A Sentiment Analysis Case Study on Twitter.
Proceedings of the Workshop Proceedings of the 16th International AAAI Conference on Web and Social Media, 2022
Overview of the Seventh Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2022.
Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, 2022
An Empirical Study on Characterizing Natural Disasters in Class Imbalanced Social Media Data using Weak Supervision.
Proceedings of the IEEE International Conference on Big Data, 2022
TweetDIS: A Large Twitter Dataset for Natural Disasters Built using Weak Supervision.
Proceedings of the IEEE International Conference on Big Data, 2022
2021
Pulse of the pandemic: Iterative topic filtering for clinical information extraction from social media.
J. Biomed. Informatics, 2021
J. Am. Medical Informatics Assoc., 2021
Overview of the Sixth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at NAACL 2021.
Proceedings of the Sixth Social Media Mining for Health Workshop and Shared Task, 2021
Characterization of Anonymous Physician Perspectives on COVID-19 Using Social Media Data.
Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021
2020
Development and validation of phenotype classifiers across multiple sites in the observational health data sciences and informatics network.
J. Am. Medical Informatics Assoc., 2020
Characterization of Potential Drug Treatments for COVID-19 using Social Media Data and Machine Learning.
CoRR, 2020
A large-scale COVID-19 Twitter chatter dataset for open scientific research - an international collaboration.
CoRR, 2020
A large-scale Twitter dataset for drug safety applications mined from publicly existing resources.
CoRR, 2020
Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020
Proceedings of the 1st Workshop on NLP for COVID-19@ EMNLP 2020, Online, December 2020, 2020
Proceedings of the AMIA 2020, 2020
2019
Finding missed cases of familial hypercholesterolemia in health systems using machine learning.
npj Digit. Medicine, 2019
Extending Achilles Heel Data Quality Tool with New Rules Informed by Multi-Site Data Quality Comparison.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
Proceedings of the 14th IEEE International Conference on e-Science, 2018
Identifying cases of metastatic prostate cancer using machine learning on electronic health records.
Proceedings of the AMIA 2018, 2018
Proceedings of the AMIA 2018, 2018
2017
Proceedings of the Artificial Intelligence and Soft Computing, 2017
Electronic phenotyping with APHRODITE and the Observational Health Sciences and Informatics (OHDSI) data network.
Proceedings of the Summit on Clinical Research Informatics, 2017
2016
Mining At Most Top-K% Spatiotemporal Co-occurrence Patterns in Datasets with Extended Spatial Representations.
ACM Trans. Spatial Algorithms Syst., 2016
J. Am. Medical Informatics Assoc., 2016
2015
Regional content-based image retrieval for solar images: Traditional versus modern methods.
Astron. Comput., 2015
Proceedings of the Semantic Web - ISWC 2015, 2015
Unsupervised Learning Techniques for Detection of Regions of Interest in Solar Images.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015
2014
Proceedings of the 4th International Conference on Image Processing Theory, 2014
Proceedings of the Artificial Intelligence and Soft Computing, 2014
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014
2013
Proceedings of the IEEE International Conference on Image Processing, 2013
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013
A Comprehensive Study of iDistance Partitioning Strategies for kNN Queries and High-Dimensional Data Indexing.
Proceedings of the Big Data - 29th British National Conference on Databases, 2013
Extending High-Dimensional Indexing Techniques Pyramid and iMinMax(θ): Lessons Learned.
Proceedings of the Big Data - 29th British National Conference on Databases, 2013
Proceedings of the New Trends in Databases and Information Systems, 2013
When Too Similar Is Bad: A Practical Example of the Solar Dynamics Observatory Content-Based Image-Retrieval System.
Proceedings of the New Trends in Databases and Information Systems, 2013
Big Data New Frontiers: Mining, Search and Management of Massive Repositories of Solar Image Data and Solar Events.
Proceedings of the New Trends in Databases and Information Systems, 2013
2012
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012
Quantitative Comparison of Linear and Non-linear Dimensionality Reduction Techniques for Solar Image Archives.
Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference, 2012
2011
On the surprisingly accurate transfer of image parameters between medical and solar images.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011
2010
An Experimental Evaluation of Popular Image Parameters for Monochromatic Solar Image Categorization.
Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010
Selection of Image Parameters as the First Step towards Creating a CBIR System for the Solar Dynamics Observatory.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2010
Usage of Dissimilarity Measures and Multidimensional Scaling for Large Scale Solar Data Analysis.
Proceedings of the 2010 Conference on Intelligent Data Understanding, 2010
2009
On the effectiveness of fuzzy clustering as a data discretization technique for large-scale classification of solar images.
Proceedings of the FUZZ-IEEE 2009, 2009