Guadalupe Canahuate
Orcid: 0000-0001-5873-5454
According to our database1,
Guadalupe Canahuate
authored at least 40 papers
between 2006 and 2024.
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Bibliography
2024
Roses Have Thorns: Understanding the Downside of Oncological Care Delivery Through Visual Analytics and Sequential Rule Mining.
IEEE Trans. Vis. Comput. Graph., January, 2024
DITTO: A Visual Digital Twin for Interventions and Temporal Treatment Outcomes in Head and Neck Cancer.
CoRR, 2024
Proceedings of the Database and Expert Systems Applications, 2024
2023
Comput. Graph. Forum, June, 2023
Roses Have Thorns: Understanding the Downside of Oncological Care Delivery Through Visual Analytics and Sequential Rule Mining.
CoRR, 2023
Evaluating Autoencoders for Dimensionality Reduction of MRI-derived Radiomics and Classification of Malignant Brain Tumors.
Proceedings of the 35th International Conference on Scientific and Statistical Database Management, 2023
Improving Prediction of Late Symptoms using LSTM and Patient-reported Outcomes for Head and Neck Cancer Patients.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023
2022
IEEE Trans. Vis. Comput. Graph., 2022
Representative random sampling: an empirical evaluation of a novel bin stratification method for model performance estimation.
Stat. Comput., 2022
Proceedings of the 15th IEEE Pacific Visualization Symposium, 2022
2021
Predicting late symptoms of head and neck cancer treatment using LSTM and patient reported outcomes.
Proceedings of the IDEAS 2021: 25th International Database Engineering & Applications Symposium, 2021
Proceedings of the Artificial Intelligence in Medicine, 2021
2020
Cohort-based T-SSIM Visual Computing for Radiation Therapy Prediction and Exploration.
IEEE Trans. Vis. Comput. Graph., 2020
A spatial neighborhood methodology for computing and analyzing lymph node carcinoma similarity in precision medicine.
J. Biomed. Informatics X, 2020
High-dimensional similarity searches using query driven dynamic quantization and distributed indexing.
Distributed Parallel Databases, 2020
Proceedings of the 31st IEEE Visualization Conference, 2020
2019
Precision Risk Analysis of Cancer Therapy with Interactive Nomograms and Survival Plots.
IEEE Trans. Vis. Comput. Graph., 2019
2018
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018
Proceedings of the 21st International Conference on Extending Database Technology, 2018
2017
Proceedings of the ExploreDB'17, Chicago, IL, USA, May 19, 2017, 2017
2016
Knowl. Inf. Syst., 2016
A Two-Phase MapReduce Algorithm for Scalable Preference Queries over High-Dimensional Data.
Proceedings of the 20th International Database Engineering & Applications Symposium, 2016
Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
2015
Proceedings of the Companion Proceedings of the 2015 ACM SIGPLAN International Conference on Systems, 2015
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015
2014
Trans. Large Scale Data Knowl. Centered Syst., 2014
Optimizing query execution for variable-aligned length compression of bitmap indices.
Proceedings of the 18th International Database Engineering & Applications Symposium, 2014
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014
2013
Proceedings of the 17th International Database Engineering & Applications Symposium, 2013
2009
Proceedings of the Encyclopedia of Database Systems, 2009
Int. J. Math. Oper. Res., 2009
Proceedings of the EDBT 2009, 2009
2008
IEEE Trans. Knowl. Data Eng., 2008
Proceedings of the 3rd International ICST Conference on Scalable Information Systems, 2008
2007
Proceedings of the 19th International Conference on Scientific and Statistical Database Management, 2007
2006
Distributed Parallel Databases, 2006
Proceedings of the 32nd International Conference on Very Large Data Bases, 2006
Proceedings of the Advances in Database Technology, 2006