Guadalupe Canahuate

Orcid: 0000-0001-5873-5454

According to our database1, Guadalupe Canahuate authored at least 40 papers between 2006 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
DITTO: A Visual Digital Twin for Interventions and Temporal Treatment Outcomes in Head and Neck Cancer.
IEEE Trans. Vis. Comput. Graph., January, 2025

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

Collaborative Filtering for the Imputation of Patient Reported Outcomes.
Proceedings of the Database and Expert Systems Applications, 2024

2023
DASS Good: Explainable Data Mining of Spatial Cohort Data.
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
THALIS: Human-Machine Analysis of Longitudinal Symptoms in Cancer Therapy.
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

A Tale of Two Centers: Visual Exploration of Health Disparities in Cancer Care.
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

Identifying Symptom Clusters Through Association Rule Mining.
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

Explainable Spatial Clustering: Leveraging Spatial Data in Radiation Oncology.
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
Bitmap-Based Index Structures.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Distributed query-aware quantization for high-dimensional similarity searches.
Proceedings of the 21st International Conference on Extending Database Technology, 2018

2017
Supporting Dynamic Quantization for High-Dimensional Data Analytics.
Proceedings of the ExploreDB'17, Chicago, IL, USA, May 19, 2017, 2017

2016
Hybrid query optimization for hard-to-compress bit-vectors.
VLDB J., 2016

Performance evaluation of word-aligned compression methods for bitmap indices.
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

On-demand aggregation of gridded data over user-specified spatio-temporal domains.
Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016

Power efficient big data analytics algorithms through low-level operations.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Evaluating work distribution patterns for parallel bitmap compression over SMPs.
Proceedings of the Companion Proceedings of the 2015 ACM SIGPLAN International Conference on Systems, 2015

Scalable preference queries for high-dimensional data using map-reduce.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
Slicing the Dimensionality: Top-k Query Processing for High-Dimensional Spaces.
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

A tunable compression framework for bitmap indices.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

2013
Dynamic bitmap index recompression through workload-based optimizations.
Proceedings of the 17th International Database Engineering & Applications Symposium, 2013

2009
Bitmap-based Index Structures.
Proceedings of the Encyclopedia of Database Systems, 2009

Vector space search engines that maximise expected user utility.
Int. J. Math. Oper. Res., 2009

Secondary bitmap indexes with vertical and horizontal partitioning.
Proceedings of the EDBT 2009, 2009

2008
Online Index Recommendations for High-Dimensional Databases Using Query Workloads.
IEEE Trans. Knowl. Data Eng., 2008

Dynamic data organization for bitmap indices.
Proceedings of the 3rd International ICST Conference on Scalable Information Systems, 2008

2007
Update Conscious Bitmap Indices.
Proceedings of the 19th International Conference on Scientific and Statistical Database Management, 2007

2006
Efficient parallel processing of range queries through replicated declustering.
Distributed Parallel Databases, 2006

Approximate Encoding for Direct Access and Query Processing over Compressed Bitmaps.
Proceedings of the 32nd International Conference on Very Large Data Bases, 2006

Indexing Incomplete Databases.
Proceedings of the Advances in Database Technology, 2006


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