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Eli T. Brown
Eli T. Brown
Associate Professor, DePaul University
Verified email at depaul.edu
Title
Cited by
Cited by
Year
Dis-function: Learning distance functions interactively
ET Brown, J Liu, CE Brodley, R Chang
2012 IEEE conference on visual analytics science and technology (VAST), 83-92, 2012
2532012
Dynamic difficulty using brain metrics of workload
D Afergan, EM Peck, ET Solovey, A Jenkins, SW Hincks, ET Brown, ...
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems …, 2014
1942014
Finding waldo: Learning about users from their interactions
ET Brown, A Ottley, H Zhao, Q Lin, R Souvenir, A Endert, R Chang
IEEE Transactions on visualization and computer graphics 20 (12), 1663-1672, 2014
1732014
Podium: Ranking data using mixed-initiative visual analytics
E Wall, S Das, R Chawla, B Kalidindi, ET Brown, A Endert
IEEE transactions on visualization and computer graphics 24 (1), 288-297, 2017
1122017
Visualization by demonstration: An interaction paradigm for visual data exploration
B Saket, H Kim, ET Brown, A Endert
IEEE transactions on visualization and computer graphics 23 (1), 331-340, 2016
1032016
Big data integration case study for radiology data sources
P Deshpande, A Rasin, E Brown, J Furst, DS Raicu, SM Montner, ...
2018 IEEE Life Sciences Conference (LSC), 195-198, 2018
162018
Modelspace: Visualizing the trails of data models in visual analytics systems
ET Brown, S Yarlagadda, KA Cook, R Chang, A Endert
2018 IEEE Workshop on Machine Learning from User Interaction for …, 2018
152018
An integrated database and smart search tool for medical knowledge extraction from radiology teaching files
P Deshpande, A Rasin, E Brown, J Furst, D Raicu, S Montner, S Armato III
Medical Informatics and Healthcare, 10-18, 2017
132017
Human-machine-learner interaction: The best of both worlds
ET Brown, A Endert, R Chang
Proceedings of the CHI Workshop on Human Centred Machine Learning (HCML) 1, 2016
112016
DRIL: Descriptive rules by interactive learning
F Cao, ET Brown
2020 IEEE Visualization Conference (VIS), 256-260, 2020
102020
RISSAD: Rule-based Interactive Semi-Supervised Anomaly Detection.
J Deng, ET Brown
EuroVis (Short Papers), 25-29, 2021
92021
Augmenting medical decision making with text-based search of teaching file repositories and medical ontologies: Text-based search of radiology teaching files
P Deshpande, A Rasin, ET Brown, J Furst, SM Montner, SG Armato III, ...
International Journal of Knowledge Discovery in Bioinformatics (IJKDB) 8 (2 …, 2018
82018
Find distance function, hide model inference
J Liu, ET Brown, R Chang
2011 IEEE Conference on Visual Analytics Science and Technology (VAST), 289-290, 2011
72011
Ontology-based radiology teaching file summarization, coverage, and integration
P Deshpande, A Rasin, J Son, S Kim, E Brown, J Furst, DS Raicu, ...
Journal of digital imaging 33, 797-813, 2020
62020
FacetRules: Discovering and describing related groups
LV Thomas, J Deng, ET Brown
2021 IEEE Workshop on Machine Learning from User Interactions (MLUI), 21-26, 2021
42021
The activity platform
HJ Wang, A Moshchuk, M Gamon, S Iqbal, ET Brown, A Kapoor, C Meek, ...
15th Workshop on Hot Topics in Operating Systems (HotOS XV), 2015
42015
Learning from Users' Interactions with Visual Analytics Systems
ET Brown
Tufts University, 2015
42015
Multimodal Ranked Search over Integrated Repository of Radiology Data Sources.
P Deshpande, A Rasin, F Cao, S Yarlagadda, ET Brown, J Furst, ...
KDIR, 372-383, 2019
32019
Synthetic sampling for multi-class malignancy prediction
M Yung, ET Brown, A Rasin, JD Furst, DS Raicu
arXiv preprint arXiv:1807.02608, 2018
32018
Odds and Insights: Decision Quality in Exploratory Data Analysis Under Uncertainty
A Sarma, X Pu, Y Cui, M Correll, ET Brown, M Kay
Proceedings of the CHI Conference on Human Factors in Computing Systems, 1-14, 2024
22024
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Articles 1–20