Barry L. Drake

According to our database, Barry L. Drake authored at least 23 papers between 1987 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Co-embedding Multi-type Data for Information Fusion and Visual Analytics.

Dongjin Choi, Barry L. Drake, Haesun Park

Proceedings of the 26th International Conference on Information Fusion, 2023

Patient Clustering via Integrated Profiling of Clinical and Digital Data.

Dongjin Choi, Andy Xiang, Ozgur Ozturk, Deep Shrestha, Barry L. Drake, Hamid Haidarian, Faizan Javed, Haesun Park

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

WellFactor: Patient Profiling using Integrative Embedding of Healthcare Data.

Dongjin Choi, Andy Xiang, Ozgur Ozturk, Deep Shrestha, Barry L. Drake, Hamid Haidarian, Faizan Javed, Haesun Park

Proceedings of the IEEE International Conference on Big Data, 2023

2021

ArchiText: Interactive Hierarchical Topic Modeling.

Hannah Kim, Barry L. Drake, Alex Endert, Haesun Park

IEEE Trans. Vis. Comput. Graph., 2021

2020

MEGA: Multi-View Semi-Supervised Clustering of Hypergraphs.

Joyce Jiyoung Whang, Rundong Du, Sangwon Jung, Geon Lee, Barry L. Drake, Qingqing Liu, Seonggoo Kang, Haesun Park

Proc. VLDB Endow., 2020

2019

Hybrid clustering based on content and connection structure using joint nonnegative matrix factorization.

Rundong Du, Barry L. Drake, Haesun Park

J. Glob. Optim., 2019

TopicSifter: Interactive Search Space Reduction through Targeted Topic Modeling.

Hannah Kim, Dongjin Choi, Barry L. Drake, Alex Endert, Haesun Park

Proceedings of the 14th IEEE Conference on Visual Analytics Science and Technology, 2019

2018

TopicOnTiles: Tile-Based Spatio-Temporal Event Analytics via Exclusive Topic Modeling on Social Media.

Minsuk Choi, Dear Sungbok Shin, Jinho Choi, Scott Langevin, Christopher Bethune, Philippe Horne, Nathan Kronenfeld, Ramakrishnan Kannan, Barry L. Drake, Haesun Park, Jaegul Choo

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2017

DC-NMF: nonnegative matrix factorization based on divide-and-conquer for fast clustering and topic modeling.

Rundong Du, Da Kuang, Barry L. Drake, Haesun Park

J. Glob. Optim., 2017

STExNMF: Spatio-Temporally Exclusive Topic Discovery for Anomalous Event Detection.

Dear Sungbok Shin, Minsuk Choi, Jinho Choi, Scott Langevin, Christopher Bethune, Philippe Horne, Nathan Kronenfeld, Ramakrishnan Kannan, Barry L. Drake, Haesun Park, Jaegul Choo

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Event Detection Based on Nonnegative Matrix Factorization: Ceasefire Violation, Environmental, and Malware Events.

Barry L. Drake, Tiffany Huang, Ashley Beavers, Rundong Du, Haesun Park

Proceedings of the Advances in Human Factors in Cybersecurity, 2017

2014

PIVE: Per-Iteration visualization environment for supporting real-time interactions with computational methods.

Jaegul Choo, Changhyun Lee, Hannah Kim, Hanseung Lee, Chandan K. Reddy, Barry L. Drake, Haesun Park

Proceedings of the 9th IEEE Conference on Visual Analytics Science and Technology, 2014

VisIRR: Visual analytics for information retrieval and recommendation with large-scale document data.

Jaegul Choo, Changhyun Lee, Hannah Kim, Hanseung Lee, Zhicheng Liu, Ramakrishnan Kannan, Charles D. Stolper, John T. Stasko, Barry L. Drake, Haesun Park

Proceedings of the 9th IEEE Conference on Visual Analytics Science and Technology, 2014

Nonlinear Adaptive Filtering with Dimension Reduction in the Wavelet Domain.

Tiffany Huang, Barry L. Drake, David Aalfs, Brani Vidakovic

Proceedings of the Data Compression Conference, 2014

2010

Supervised Raman spectra estimation based on nonnegative rank deficient least squares.

Barry L. Drake, Jingu Kim, Mahendra Mallick, Haesun Park

Proceedings of the 13th Conference on Information Fusion, 2010

2009

Hierarchical Linear Discriminant Analysis for Beamforming.

Jaegul Choo, Barry L. Drake, Haesun Park

Proceedings of the SIAM International Conference on Data Mining, 2009

Comparison of Raman spectra estimation algorithms.

Mahendra Mallick, Barry L. Drake, Haesun Park, Andy Register, William Dale Blair, Phil West, Ryan D. Palkki, Aaron D. Lanterman, Darren Emge

Proceedings of the 12th International Conference on Information Fusion, 2009

2008

Linear discriminant analysis for data with subcluster structure.

Haesun Park, Jaegul Choo, Barry L. Drake, Jinwoo Kang

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007

Multiclass classifiers based on dimension reduction with generalized LDA.

Hyunsoo Kim, Barry L. Drake, Haesun Park

Pattern Recognit., 2007

Extracting unrecognized gene relationships from the biomedical literature via matrix factorizations.

Hyunsoo Kim, Haesun Park, Barry L. Drake

BMC Bioinform., 2007

2006

Adaptive Nonlinear Discriminant Analysis by Regularized Minimum Squared Errors.

Hyunsoo Kim, Barry L. Drake, Haesun Park

IEEE Trans. Knowl. Data Eng., 2006

2003

A Decision Criterion for the Optimal Number of Clusters in Hierarchical Clustering.

Yunjae Jung, Haesun Park, Ding-Zhu Du, Barry L. Drake

J. Glob. Optim., 2003

1987

SLAPP: A Systolic Linear Algebra Parallel Processor.

Barry L. Drake, Franklin T. Luk, Jeffrey M. Speiser, Jerome J. Symanski

Computer, 1987