Juan M. Banda

75 papers A 1B 6Misc 7Journal 36Unranked 24
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adoption and Use of LLMs at an Academic Medical Center.
CoRR
Nigam H. Shah, Nerissa Ambers, Abby Pandya, Timothy Keyes, Juan M. Banda, Srikar Nallan, Carlene Lugtu, Artem A. Trotsyuk, Suhana Bedi, Alyssa Unell, Miguel Fuentes, François Grolleau, Sneha S. Jain, Jonathan H. Chen, Dev Dash, Danton Char, Aditya Sharma, Duncan McElfresh, Patrick Scully, Vishanthan Kumar, Connor O'Brien, Satchi Mouniswamy, Elvis Jones, Krishna Jasti, Gunavathi Mannika Lakshmanan, Sree Ram Akula, Varun Kumar Singh, Ramesh Rajmanickam, Sudhir Sinha, Vicky Zhou, Xu Wang, Bilal Mawji, Joshua Ge, Wencheng Li, Travis Lyons, Jarrod Helzer, Vikas Kakkar, Ramesh Powar, Darren Batara, Cheryl Cordova, William Frederick III, Olivia Tang, Phoebe Morgan, April S. Liang, Stephen P. Ma, Shivam Vedak, Dong-han Yao, Akshay Swaminathan, Mehr Kashyap, Brian Ng, Jamie Hellman, Nikesh Kotecha, Christopher Sharp, Gretchen Brown, Christian Lindmark, Anurang Revri, Michael A. Pfeffer
2025 J jnl
MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks.
CoRR
Suhana Bedi, Hejie Cui, Miguel Fuentes, Alyssa Unell, Michael Wornow, Juan M. Banda, Nikesh Kotecha, Timothy Keyes, Yifan Mai, Mert Oez, Hao Qiu, Shrey Jain, Leonardo Schettini, Mehr Kashyap, Jason Alan Fries, Akshay Swaminathan, Philip Chung, Fateme Nateghi, Asad Aali, Ashwin Nayak, Shivam Vedak, Sneha S. Jain, Birju S. Patel, Oluseyi Fayanju, Shreya J. Shah, Ethan Goh, Dong-han Yao, Brian Soetikno, Eduardo Pontes Reis, Sergios Gatidis, Vasu Divi, Robson Capasso, Rachna Saralkar, Chia-Chun Chiang, Jenelle A. Jindal, Tho Pham, Faraz Ghoddusi, Steven Lin, Albert S. Chiou, Christy Hong, Mohana Roy, Michael F. Gensheimer, Hinesh Patel, Kevin Schulman, Dev Dash, Danton Char, Lance Downing, François Grolleau, Kameron C. Black, Bethel Mieso, Aydin Zahedivash, Wen-Wai Yim, Harshita Sharma, Tony Lee, Hannah Kirsch, Jennifer Lee, Nerissa Ambers, Carlene Lugtu, Aditya Sharma, Bilal Mawji, Alex Alekseyev, Vicky Zhou, Vikas Kakkar, Jarrod Helzer, Anurang Revri, Yair Bannett, Roxana Daneshjou, Jonathan H. Chen, Emily Alsentzer, Keith E. Morse, Nirmal Ravi, Nima Aghaeepour, Vanessa Kennedy, Akshay Chaudhari, Thomas Wang, Sanmi Koyejo, Matthew P. Lungren, Eric Horvitz, Percy Liang, Mike Pfeffer, Nigam H. Shah
2025 J jnl
Monitoring Deployed AI Systems in Health Care.
CoRR
Timothy Keyes, Alison Callahan, Abby Pandya, Nerissa Ambers, Juan M. Banda, Miguel Fuentes, Carlene Lugtu, Pranav Masariya, Srikar Nallan, Connor O'Brien, Thomas Wang, Emily Alsentzer, Jonathan H. Chen, Dev Dash, Matthew A. Eisenberg, Patricia Garcia, Nikesh Kotecha, Anurang Revri, Michael A. Pfeffer, Nigam H. Shah, Sneha S. Jain
2025 J jnl
Red teaming ChatGPT in medicine to yield real-world insights on model behavior.
npj Digit. Medicine
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, Allison Sihan Jia, Amit Kaushal, Angela Jia, Angelica Iacovelli, Archer Yang, Arghavan Salles, Arpita Singhal, Balasubramanian Narasimhan, Benjamin Belai, Benjamin H. Jacobson, Binglan Li, Celeste H. Poe, Chandan Sanghera, Chenming Zheng, Conor Messer, Damien Varid Kettud, Deven Pandya, Dhamanpreet Kaur, Diana Hla, Diba Dindoust, Dominik Moehrle, Duncan Ross, Ellaine Chou, Eric Lin, Fateme Nateghi Haredasht, Ge Cheng, Irena Gao, Jacob Chang, Jake Silberg, Jason A. Fries, Jiapeng Xu, Joe Jamison, John S. Tamaresis, Jonathan H. Chen, Joshua Lazaro, Juan M. Banda, Julie J. Lee, Karen Ebert Matthys, Kirsten R. Steffner, Lu Tian, Luca Pegolotti, Malathi Srinivasan, Maniragav Manimaran, Matthew Schwede, Minghe Zhang, Minh Nguyen, Mohsen Fathzadeh, Qian Zhao, Rika Bajra, Rohit Khurana, Ruhana Azam, Rush Bartlett, Sang T. Truong, Scott L. Fleming, Shriti Raj, Solveig Behr, Sonia Onyeka, Sri Muppidi, Tarek Bandali, Tiffany Y. Eulalio, Wenyuan Chen, Xuanyu Zhou, Yanan Ding, Ying Cui, Yuqi Tan, Yutong Liu, Nigam Shah, Roxana Daneshjou
2024 J jnl
Overview of the 8th Social Media Mining for Health Applications (#SMM4H) shared tasks at the AMIA 2023 Annual Symposium.
J. Am. Medical Informatics Assoc.
Ari Z. Klein, Juan M. Banda, Yuting Guo, Ana Lucía Schmidt, Dongfang Xu, Ivan Flores Amaro, Raul Rodriguez-Esteban, Abeed Sarker, Graciela Gonzalez-Hernandez
2024 J jnl
Standing on FURM ground - A framework for evaluating Fair, Useful, and Reliable AI Models in healthcare systems.
CoRR
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
2023 J jnl
Automatic Extraction of Medication Mentions from Tweets - Overview of the BioCreative VII Shared Task 3 Competition.
Database J. Biol. Databases Curation
Davy Weissenbacher, Karen O'Connor, Siddharth Rawal, Yu Zhang, Richard Tzong-Han Tsai, Timothy 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 Melo Almeida, Paloma Martínez, Renzo M. Rivera Zavala, Chen-Kai Wang, Hong-Jie Dai, Luis Alberto Robles Hernandez, Graciela Gonzalez-Hernandez
2023 J jnl
Evaluation of GPT-3.5 and GPT-4 for supporting real-world information needs in healthcare delivery.
CoRR
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
2023 J jnl
LatinX in AI research.
Neural Comput. Appl.
Juan M. Banda, Ariel Ruiz-Garcia, Laura N. Montoya, Ivan Arraut
2023 — conf
Leveraging Large Language Models and Weak Supervision for Social Media Data Annotation: An Evaluation Using COVID-19 Self-reported Vaccination Tweets.
HCI (50)
Ramya Tekumalla, Juan M. Banda
2023 J jnl
Leveraging Large Language Models and Weak Supervision for Social Media data annotation: an evaluation using COVID-19 self-reported vaccination tweets.
CoRR
Ramya Tekumalla, Juan M. Banda
2023 J jnl
Ontologizing health systems data at scale: making translational discovery a reality.
npj Digit. Medicine
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
2023 J jnl
Representing and utilizing clinical textual data for real world studies: An OHDSI approach.
J. Biomed. Informatics
Vipina Kuttichi Keloth, Juan M. Banda, Michael J. Gurley, Paul M. Heider, Georgina Kennedy, Hongfang Liu, Feifan Liu, Timothy 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
2023 J jnl
Reproducible variability: assessing investigator discordance across 9 research teams attempting to reproduce the same observational study.
J. Am. Medical Informatics Assoc.
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
2023 B conf
Towards automatic identification of self-reported COVID-19 tweets: Introducing a multilingual manually annotated dataset, baseline systems and exploratory evaluations.
IEEE Big Data
Ramya Tekumalla, Luis Alberto Robles Hernandez, Juan M. Banda
2023 J jnl
Using weak supervision to generate training datasets from social media data: a proof of concept to identify drug mentions.
Neural Comput. Appl.
Ramya Tekumalla, Juan M. Banda
2022 B conf
An Empirical Study on Characterizing Natural Disasters in Class Imbalanced Social Media Data using Weak Supervision.
IEEE Big Data
Ramya Tekumalla, Juan M. Banda
2022 — conf
Characterizing Anti-Asian Rhetoric During The COVID-19 Pandemic: A Sentiment Analysis Case Study on Twitter.
ICWSM Workshops
Ramya Tekumalla, Zia Baig, Michelle Pan, Luis Alberto Robles Hernandez, Michael Wang, Juan M. Banda
2022 J jnl
Identifying epidemic related Tweets using noisy learning.
CoRR
Ramya Tekumalla, Juan M. Banda
2022 J jnl
Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality.
CoRR
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 T. Reese, Jessica Sinclair, Sanya Bathla Taneja, Katy E. Trinkley, Nicole A. Vasilevsky, Andrew E. Williams, Xingman A. Zhang, Peter N. Robinson, Patrick B. Ryan, George Hripcsak, Tellen D. Bennett, Lawrence E. Hunter, Michael G. Kahn
2022 — conf
Overview of the Seventh Social Media Mining for Health Applications (#SMM4H) Shared Tasks at COLING 2022.
SMM4H@COLING
Davy Weissenbacher, Juan M. Banda, Vera Davydova, Darryl Estrada-Zavala, Luis Gascó Sánchez, Yao Ge, Yuting Guo, Ari Z. Klein, Martin Krallinger, Mathias Leddin, Arjun Magge, Raul Rodriguez-Esteban, Abeed Sarker, Ana Lucía Schmidt, Elena Tutubalina, Graciela Gonzalez-Hernandez
2022 B conf
TweetDIS: A Large Twitter Dataset for Natural Disasters Built using Weak Supervision.
IEEE Big Data
Ramya Tekumalla, Juan M. Banda
2022 J jnl
TweetDIS: A Large Twitter Dataset for Natural Disasters Built using Weak Supervision.
CoRR
Ramya Tekumalla, Juan M. Banda
2021 J jnl
A Biomedically oriented automatically annotated Twitter COVID-19 Dataset.
CoRR
Luis Alberto Robles Hernandez, Tiffany J. Callahan, Juan M. Banda
2021 J jnl
ACE: the Advanced Cohort Engine for searching longitudinal patient records.
J. Am. Medical Informatics Assoc.
Alison Callahan, Vladimir Polony, José D. Posada, Juan M. Banda, Saurabh Gombar, Nigam H. Shah
2021 Misc conf
Characterization of Anonymous Physician Perspectives on COVID-19 Using Social Media Data.
PSB
Katherine J. Sullivan, Marisha Burden, Angela Keniston, Juan M. Banda, Lawrence E. Hunter
2021 — conf
Overview of the Sixth Social Media Mining for Health Applications (#SMM4H) Shared Tasks at NAACL 2021.
SMM4H@NAACL-HLT
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
2021 — ed.
Proceedings of the Sixth Social Media Mining for Health Workshop and Shared Task, SMM4H@NAACL-HLT 2021, Mexico City, Mexico, June 10, 2021
SMM4H@NAACL-HLT
Arjun Magge, Ari Z. Klein, Antonio Miranda-Escalada, Mohammed Ali Al-Garadi, Ilseyar Alimova, Zulfat Miftahutdinov, Eulàlia Farré-Maduell, Salvador Lima-López, Ivan Flores, Karen O'Connor, Davy Weissenbacher, Elena Tutubalina, Abeed Sarker, Juan M. Banda, Martin Krallinger, Graciela Gonzalez-Hernandez
2021 J jnl
Pulse of the Pandemic: Iterative Topic Filtering for Clinical Information Extraction from Social Media.
CoRR
Julia Wu, Venkatesh Sivaraman, Dheekshita Kumar, Juan M. Banda, David A. Sontag
2021 J jnl
Pulse of the pandemic: Iterative topic filtering for clinical information extraction from social media.
J. Biomed. Informatics
Julia Wu, Venkatesh Sivaraman, Dheekshita Kumar, Juan M. Banda, David A. Sontag
2020 J jnl
A large-scale COVID-19 Twitter chatter dataset for open scientific research - an international collaboration.
CoRR
Juan M. Banda, Ramya Tekumalla, Guanyu Wang, Jingyuan Yu, Tuo Liu, Yuning Ding, Gerardo Chowell
2020 J jnl
A large-scale Twitter dataset for drug safety applications mined from publicly existing resources.
CoRR
Ramya Tekumalla, Juan M. Banda
2020 J jnl
Characterization of Potential Drug Treatments for COVID-19 using Social Media Data and Machine Learning.
CoRR
Ramya Tekumalla, Juan M. Banda
2020 — conf
Characterizing drug mentions in COVID-19 Twitter Chatter.
NLP4COVID@EMNLP
Ramya Tekumalla, Juan M. Banda
2020 J jnl
Development and validation of phenotype classifiers across multiple sites in the observational health data sciences and informatics network.
J. Am. Medical Informatics Assoc.
Mehr Kashyap, Martin G. Seneviratne, Juan M. Banda, Thomas Falconer, Borim Ryu, Sooyoung Yoo, George Hripcsak, Nigam H. Shah
2020 J jnl
GLEAKE: Global and Local Embedding Automatic Keyphrase Extraction.
CoRR
Javad Rafiei Asl, Juan M. Banda
2020 A conf
Mining Archive.org's Twitter Stream Grab for Pharmacovigilance Research Gold.
ICWSM
Ramya Tekumalla, Javad Rafiei Asl, Juan M. Banda
2020 Misc conf
Normalizing Clinical Document Titles to LOINC Document Ontology: an Initial Study.
AMIA
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
2020 J jnl
Social Media Mining Toolkit (SMMT).
CoRR
Ramya Tekumalla, Juan M. Banda
2020 J jnl
Ten simple rules to run a successful BioHackathon.
PLoS Comput. Biol.
Leyla J. García, Erick Antezana, Alexander García Castro, Evan Bolton, Rafael C. Jiménez, Pjotr Prins, Juan M. Banda, Toshiaki Katayama
2019 — conf
Extending Achilles Heel Data Quality Tool with New Rules Informed by Multi-Site Data Quality Comparison.
MedInfo
Vojtech Huser, Xiaochun Li, Zuoyi Zhang, Sungjae Jung, Rae Woong Park, Juan M. Banda, Hanieh Razzaghi, Ajit Londhe, Karthik Natarajan
2019 J jnl
Finding missed cases of familial hypercholesterolemia in health systems using machine learning.
npj Digit. Medicine
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
2019 — conf
Solar Event Tracking with Deep Regression Networks: A Proof of Concept Evaluation.
IEEE BigData
Toqi Tahamid Sarker, Juan M. Banda
2019 J jnl
Solar Event Tracking with Deep Regression Networks: A Proof of Concept Evaluation.
CoRR
Toqi Tahamid Sarker, Juan M. Banda
2018 Misc conf
Identifying cases of metastatic prostate cancer using machine learning on electronic health records.
AMIA
Martin G. Seneviratne, Juan M. Banda, James D. Brooks, Nigam Shah, Tina Hernandez-Boussard
2018 — conf
Nanopublications: A Growing Resource of Provenance-Centric Scientific Linked Data.
eScience
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
2018 J jnl
Nanopublications: A Growing Resource of Provenance-Centric Scientific Linked Data.
CoRR
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
2018 Misc conf
Scalable Electronic Phenotyping For Studying Patient Comorbidities.
AMIA
Albee Y. Ling, Emily Alsentzer, Josephine Chen, Juan M. Banda, Suzanne Tamang, Evan P. Minty
2017 — conf
Electronic phenotyping with APHRODITE and the Observational Health Sciences and Informatics (OHDSI) data network.
CRI
Juan M. Banda, Yoni Halpern, David A. Sontag, Nigam Shah
2017 — conf
Solar Event Classification Using Deep Convolutional Neural Networks.
ICAISC (1)
Ahmet Küçük, Juan M. Banda, Rafal A. Angryk
2016 J jnl
Learning statistical models of phenotypes using noisy labeled training data.
J. Am. Medical Informatics Assoc.
Vibhu Agarwal, Tanya Podchiyska, Juan M. Banda, Veena Goel, Tiffany I. Leung, Evan P. Minty, Timothy E. Sweeney, Elsie Gyang, Nigam H. Shah
2016 J jnl
Mining At Most Top-K% Spatiotemporal Co-occurrence Patterns in Datasets with Extended Spatial Representations.
ACM Trans. Spatial Algorithms Syst.
Karthik Ganesan Pillai, Rafal A. Angryk, Juan M. Banda, Dustin Kempton, Berkay Aydin, Petrus C. Martens
2015 J jnl
On visualization techniques for solar data mining.
Astron. Comput.
Michael A. Schuh, Juan M. Banda, Tim Wylie, Patrick McInerney, Karthik Ganesan Pillai, Rafal A. Angryk
2015 — conf
Provenance-Centered Dataset of Drug-Drug Interactions.
ISWC (2)
Juan M. Banda, Tobias Kuhn, Nigam H. Shah, Michel Dumontier
2015 J jnl
Provenance-Centered Dataset of Drug-Drug Interactions.
CoRR
Juan M. Banda, Tobias Kuhn, Nigam H. Shah, Michel Dumontier
2015 J jnl
Regional content-based image retrieval for solar images: Traditional versus modern methods.
Astron. Comput.
Juan M. Banda, Rafal A. Angryk
2015 — conf
Unsupervised Learning Techniques for Detection of Regions of Interest in Solar Images.
ICDM Workshops
Juan M. Banda, Rafal A. Angryk
2014 — conf
Image retrieval on compressed images: Can we tell the difference?
IPTA
Juan M. Banda, Rafal A. Angryk, Michael A. Schuh, Petrus C. Martens
2014 — conf
Large-Scale Region-Based Multimedia Retrieval for Solar Images.
ICAISC (1)
Juan M. Banda, Rafal A. Angryk
2014 — conf
Scalable solar image Retrieval with Lucene.
IEEE BigData
Juan M. Banda, Rafal A. Angryk
2013 — conf
A Comprehensive Study of iDistance Partitioning Strategies for kNN Queries and High-Dimensional Data Indexing.
BNCOD
Michael A. Schuh, Tim Wylie, Juan M. Banda, Rafal A. Angryk
2013 B conf
A large-scale solar image dataset with labeled event regions.
ICIP
Michael A. Schuh, Rafal A. Angryk, Karthik Ganesan Pillai, Juan M. Banda, Petrus C. Martens
2013 — conf
Big Data New Frontiers: Mining, Search and Management of Massive Repositories of Solar Image Data and Solar Events.
ADBIS (2)
Juan M. Banda, Michael A. Schuh, Rafal A. Angryk, Karthik Ganesan Pillai, Patrick McInerney
2013 — conf
Extending High-Dimensional Indexing Techniques Pyramid and iMinMax(θ): Lessons Learned.
BNCOD
Karthik Ganesan Pillai, Liessman Sturlaugson, Juan M. Banda, Rafal A. Angryk
2013 — conf
On Using SIFT Descriptors for Image Parameter Evaluation.
ICDM Workshops
Patrick M. McInerney, Juan M. Banda, Rafal A. Angryk
2013 — conf
Region-Based Querying of Solar Data Using Descriptor Signatures.
ICDM Workshops
Juan M. Banda, Chang Liu, Rafal A. Angryk
2013 — conf
Spatiotemporal Co-occurrence Rules.
ADBIS (2)
Karthik Ganesan Pillai, Rafal A. Angryk, Juan M. Banda, Tim Wylie, Michael A. Schuh
2013 — conf
When Too Similar Is Bad: A Practical Example of the Solar Dynamics Observatory Content-Based Image-Retrieval System.
ADBIS (2)
Juan M. Banda, Michael A. Schuh, Tim Wylie, Patrick McInerney, Rafal A. Angryk
2012 Misc conf
Quantitative Comparison of Linear and Non-linear Dimensionality Reduction Techniques for Solar Image Archives.
FLAIRS
Juan M. Banda, Rafal A. Angryk, Petrus C. Martens
2012 — conf
Spatio-temporal Co-occurrence Pattern Mining in Data Sets with Evolving Regions.
ICDM Workshops
Karthik Ganesan Pillai, Rafal A. Angryk, Juan M. Banda, Michael A. Schuh, Tim Wylie
2011 B conf
On the surprisingly accurate transfer of image parameters between medical and solar images.
ICIP
Juan M. Banda, Rafal A. Angryk, Petrus C. Martens
2010 Misc conf
An Experimental Evaluation of Popular Image Parameters for Monochromatic Solar Image Categorization.
FLAIRS
Juan M. Banda, Rafal A. Angryk
2010 Misc conf
Selection of Image Parameters as the First Step towards Creating a CBIR System for the Solar Dynamics Observatory.
DICTA
Juan M. Banda, Rafal A. Angryk
2010 — conf
Usage of Dissimilarity Measures and Multidimensional Scaling for Large Scale Solar Data Analysis.
CIDU
Juan M. Banda, Rafal A. Angryk
2009 B conf
On the effectiveness of fuzzy clustering as a data discretization technique for large-scale classification of solar images.
FUZZ-IEEE
Juan M. Banda, Rafal A. Angryk