Indexing Incomplete Databases. - Guadalupe Canahuate; Michael Gibas; Hakan Ferhatosmanoglu (EDBT, 2006)

Approximate Encoding for Direct Access and Query Processing over Compressed Bitmaps. - Tan Apaydin; Guadalupe Canahuate; Hakan Ferhatosmanoglu; Ali Saman Tosun (VLDB, 2006)

Efficient parallel processing of range queries through replicated declustering. - Hakan Ferhatosmanoglu; Ali Saman Tosun; Guadalupe Canahuate; Aravind Ramachandran (Distributed Parallel Databases, 2006)

Update Conscious Bitmap Indices. - Guadalupe Canahuate; Michael Gibas; Hakan Ferhatosmanoglu (SSDBM, 2007)

Dynamic data organization for bitmap indices. - Tan Apaydin; Hakan Ferhatosmanoglu; Guadalupe Canahuate; Ali Saman Tosun (Infoscale, 2008)

Online Index Recommendations for High-Dimensional Databases Using Query Workloads. - Michael Gibas; Guadalupe Canahuate; Hakan Ferhatosmanoglu (IEEE Trans. Knowl. Data Eng., 2008)

Secondary bitmap indexes with vertical and horizontal partitioning. - Guadalupe Canahuate; Tan Apaydin; Ahmet Sacan; Hakan Ferhatosmanoglu (EDBT, 2009)

Vector space search engines that maximise expected user utility. - Nilgun Ferhatosmanoglu; Theodore T. Allen; Guadalupe Canahuate (Int. J. Math. Oper. Res., 2009)

Bitmap-based Index Structures. - Guadalupe Canahuate; Hakan Ferhatosmanoglu (Encyclopedia of Database Systems, 2009)

Dynamic bitmap index recompression through workload-based optimizations. - Fredton Doan; David Chiu 001; Brasil Perez Lukes; Jason Sawin; Gheorghi Guzun; Guadalupe Canahuate (IDEAS, 2013)

A tunable compression framework for bitmap indices. - Gheorghi Guzun; Guadalupe Canahuate; David Chiu 001; Jason Sawin (ICDE, 2014)

Optimizing query execution for variable-aligned length compression of bitmap indices. - Ryan Slechta; Jason Sawin; Ben McCamish; David Chiu 001; Guadalupe Canahuate (IDEAS, 2014)

Slicing the Dimensionality: Top-k Query Processing for High-Dimensional Spaces. - Gheorghi Guzun; Joel E. Tosado; Guadalupe Canahuate (Trans. Large Scale Data Knowl. Centered Syst., 2014)

Scalable preference queries for high-dimensional data using map-reduce. - Gheorghi Guzun; Joel E. Tosado; Guadalupe Canahuate (IEEE BigData, 2015)

Evaluating work distribution patterns for parallel bitmap compression over SMPs. - Ben McCamish; Xinghui Zhao; David Chiu 001; Jason Sawin; Guadalupe Canahuate (SPLASH (Companion Volume), 2015)

Power efficient big data analytics algorithms through low-level operations. - Gheorghi Guzun; Josiah C. McClurg; Guadalupe Canahuate; Raghuraman Mudumbai (IEEE BigData, 2016)

On-demand aggregation of gridded data over user-specified spatio-temporal domains. - Joel E. Tosado; Gheorghi Guzun; Guadalupe Canahuate; Ricardo Mantilla (SIGSPATIAL/GIS, 2016)

A Two-Phase MapReduce Algorithm for Scalable Preference Queries over High-Dimensional Data. - Gheorghi Guzun; Guadalupe Canahuate; David Chiu 001 (IDEAS, 2016)

Performance evaluation of word-aligned compression methods for bitmap indices. - Gheorghi Guzun; Guadalupe Canahuate (Knowl. Inf. Syst., 2016)

Hybrid query optimization for hard-to-compress bit-vectors. - Gheorghi Guzun; Guadalupe Canahuate (VLDB J., 2016)

Supporting Dynamic Quantization for High-Dimensional Data Analytics. - Gheorghi Guzun; Guadalupe Canahuate (ExploreDB@SIGMOD/PODS, 2017)

Distributed query-aware quantization for high-dimensional similarity searches. - Gheorghi Guzun; Guadalupe Canahuate (EDBT, 2018)

Bitmap-Based Index Structures. - Guadalupe Canahuate; Hakan Ferhatosmanoglu (Encyclopedia of Database Systems (2nd ed.), 2018)

Precision Risk Analysis of Cancer Therapy with Interactive Nomograms and Survival Plots. - G. Elisabeta Marai; Chihua Ma; Andrew Thomas Burks; Filippo Pellolio; Guadalupe Canahuate; David M. Vock; Abdallah Sherif Radwan Mohamed; Clifton David Fuller (IEEE Trans. Vis. Comput. Graph., 2019)

Explainable Spatial Clustering: Leveraging Spatial Data in Radiation Oncology. - Andrew Wentzel; Guadalupe Canahuate; Lisanne van Dijk; Abdallah Sherif Radwan Mohamed; Clifton David Fuller; G. Elisabeta Marai (IEEE VIS (Short Papers), 2020)

High-dimensional similarity searches using query driven dynamic quantization and distributed indexing. - Gheorghi Guzun; Guadalupe Canahuate (Distributed Parallel Databases, 2020)

A spatial neighborhood methodology for computing and analyzing lymph node carcinoma similarity in precision medicine. - Timothy Luciani; Andrew Wentzel; Baher Elgohari; Hesham Elhalawani; Abdallah Sherif Radwan Mohamed; Guadalupe Canahuate; David M. Vock; Clifton D. Fuller; G. Elisabeta Marai (J. Biomed. Informatics X, 2020)

Cohort-based T-SSIM Visual Computing for Radiation Therapy Prediction and Exploration. - Andrew Wentzel; Peter Hanula; Timothy Luciani; Baher Elgohari; Hesham Elhalawani; Guadalupe Canahuate; David M. Vock; Clifton D. Fuller; G. Elisabeta Marai (IEEE Trans. Vis. Comput. Graph., 2020)

Identifying Symptom Clusters Through Association Rule Mining. - Mikayla Biggs; Carla Floricel; Lisanne van Dijk; Abdallah Sherif Radwan Mohamed; Clifton David Fuller; G. Elisabeta Marai; Xinhua Zhang; Guadalupe Canahuate (AIME, 2021)

Predicting late symptoms of head and neck cancer treatment using LSTM and patient reported outcomes. - Yaohua Wang; Guadalupe Canahuate; Lisanne van Dijk; Abdallah Sherif Radwan Mohamed; Clifton David Fuller; Xinhua Zhang; Georgeta Elisabeta Marai (IDEAS, 2021)

A Tale of Two Centers: Visual Exploration of Health Disparities in Cancer Care. - Sanjana Srabanti; Michael Tran; Virginie Achim; Clifton D. Fuller; Guadalupe Canahuate; Fabio Miranda 001; G. Elisabeta Marai (PacificVis, 2022)

Representative random sampling: an empirical evaluation of a novel bin stratification method for model performance estimation. - Michael C. Rendleman; Brian J. Smith; Guadalupe Canahuate; Terry A. Braun; John M. Buatti; Thomas L. Casavant (Stat. Comput., 2022)

THALIS: Human-Machine Analysis of Longitudinal Symptoms in Cancer Therapy. - Carla Floricel; Nafiul Nipu; Mikayla Biggs; Andrew Wentzel; Guadalupe Canahuate; Lisanne van Dijk; Abdallah Sherif Radwan Mohamed; Clifton David Fuller; G. Elisabeta Marai (IEEE Trans. Vis. Comput. Graph., 2022)

Improving Prediction of Late Symptoms using LSTM and Patient-reported Outcomes for Head and Neck Cancer Patients. - Yaohua Wang; Lisanne van Dijk; Abdallah Sherif Radwan Mohamed; Mohamed A. Naser; Clifton David Fuller; Xinhua Zhang; G. Elisabeta Marai; Guadalupe Canahuate (ICHI, 2023)

Evaluating Autoencoders for Dimensionality Reduction of MRI-derived Radiomics and Classification of Malignant Brain Tumors. - Mikayla Biggs; Yaohua Wang; Neetu Soni; Sarv Priya; Girish Bathla; Guadalupe Canahuate (SSDBM, 2023)

Roses Have Thorns: Understanding the Downside of Oncological Care Delivery Through Visual Analytics and Sequential Rule Mining. - Carla Floricel; Andrew Wentzel; Abdallah S. Mohamed; Clifton David Fuller; Guadalupe Canahuate; G. Elisabeta Marai (CoRR, 2023)

DASS Good: Explainable Data Mining of Spatial Cohort Data. - Andrew Wentzel; Carla Floricel; Guadalupe Canahuate; Mohamed A. Naser; Abdallah S. Mohamed; Clifton D. Fuller; Lisanne van Dijk; G. Elisabeta Marai (Comput. Graph. Forum, 2023)

Collaborative Filtering for the Imputation of Patient Reported Outcomes. - Eric Ababio Anyimadu; Clifton David Fuller; Xinhua Zhang; G. Elisabeta Marai; Guadalupe Canahuate (DEXA (1), 2024)

Roses Have Thorns: Understanding the Downside of Oncological Care Delivery Through Visual Analytics and Sequential Rule Mining. - Carla Floricel; Andrew Wentzel; Abdallah Sherif Radwan Mohamed; Clifton David Fuller; Guadalupe Canahuate; G. Elisabeta Marai (IEEE Trans. Vis. Comput. Graph., 2024)

DITTO: A Visual Digital Twin for Interventions and Temporal Treatment Outcomes in Head and Neck Cancer. - Andrew Wentzel; Serageldin Attia; Xinhua Zhang; Guadalupe Canahuate; Clifton David Fuller; G. Elisabeta Marai (IEEE Trans. Vis. Comput. Graph., 2025)

PRO-Based Stratification Improves Model Prediction for Toxicity and Survival of Head and Neck Cancer Patients. - Eric Ababio Anyimadu; Yaohua Wang; Carla Floricel; Serageldin Kamel; Clifton David Fuller; Xinhua Zhang; G. Elisabeta Marai; Guadalupe Canahuate (IEEE J. Biomed. Health Informatics, 2025)